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Course announcement: CAMP@Bangalore 2017
by Sahil Moza March 20, 2017

March 20, 2017

We would like to announce CAMP@Bangalore 2017 from 19 July 2017 to 3 August 2017. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. All modules will have their own hands-on projects. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Confirmed instructors include: Andrew Holmes (National Institutes of Health, Bethesda, Maryland) Arvind Kumar (KTH, Stockholm) Avrama Kim Blackwell (George Mason University, Virginia) Joshua A. Gordon (National Institute of Mental Health, Bethesda, Maryland Rishikesh Narayanan (Indian Institute of Science, Bangalore) Sachin Deshmukh ( Indian Institute of Science, Bengaluru) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Sumantra Chattarji (NCBS, Bangalore) Upinder Bhalla (NCBS, Bangalore) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) -- Sahil Moza PhD student National Centre for Biological Sciences, TIFR, Bangalore, India

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Postdoc positions in Neuromorphic computing in Singapore
by Yansong Chua March 20, 2017

March 20, 2017

Multiple scientist and research engineer positions are available in Singapore, at the Institute for Infocomm Research (I2R), A*STAR, Singapore. This project is part of a large multidisciplinary grant in neuromorphic technologies involving multiple universities and research institutions in Singapore (NUS, NTU, IME, IHPC, I2R). The project is focused on building a new neuromorphic chip using RRAM that enables on-chip learning, together with a suite of learning algorithms that would then be deployed in applications in the advanced manufacturing domain. The total grant is for 4 years, with a budget of S$25,000,000. The primary scope of our research is to develop spike-based computing and learning algorithms for deep spiking neural networks on a neuromorphic chip. Specifically, we are interested in employing spikes in information processing and learning. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal coding. What coding and readout strategy underlie spike-based representation. How to encode external stimuli into spike based representations and how to readout information from spike activities. - Learning. How does neurons adapt their synaptic weights to perform a given task under cases of supervised, unsupervised and reinforcement signals. What are the underlying mechanisms for deep-structured network learning. - System integration and applications. How to integrate different computational principles into a system and apply it to solve different practical tasks. Two particular focus of research are: - Deep reinforcement learning on a neuromorphic platform for the control of robots deployed in the advanced manufacturing domain - Compressing and mapping of state-of-art deep learning networks onto a neuromorphic platform, for either inference (only) or both training and inference. Preference will be given to candidates who can document knowledge in machine learning, neural networks, information processing, system design or hardware implementation with VLSI and FPGA. Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointments will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg) or Dr. Qiang Yu (yuqiang(a)i2r.a-star.edu.sg) More information: - Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/ - Working in Singapore: http://www.contactsingapore.sg/ professionals/why_singapore/

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faculty position
by Canavier, Carmen C. March 17, 2017

March 17, 2017

The Department of Cell Biology and Anatomy at the Louisiana State University Health Sciences Center, School of Medicine in New Orleans is seeking a full-time academic faculty member at the rank of Assistant to Associate Professor– Research in neurobiology on the non-tenure track. Departmental research strengths include, but are not limited to, synaptic physiology, electrophysiology, and computational neuroscience. The Centers of Excellence in Neuroscience, Alcohol and Drug Abuse, Cancer, and Cardiovascular Biology provide additional collaborative opportunities. The successful candidate is expected to work independently, as well as collaboratively, using existing shared departmental resources for routine molecular biology, cell microscopy, RNAscope, and a Linux cluster. Candidates must have a clear vision on how to maintain (or establish) a funded research program, as well as the skills and publication record to support this vision utilizing the resources available in the department. Qualifications * Ph.D, M.D. or M.D./Ph.D * Postdoctoral experience and a publication record commensurate with experience level About the School Additional information about the department and faculty is available on the LSUHSC website: http://www.medschool.lsuhsc.edu/cell_biology/ Applicant Instructions Candidates must submit a cover letter, current curriculum vitae, summary of research plans and contact information for 3-4 professional references in a single file attachment. You must apply online at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…

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Cajal Course in Computational Neuroscience: Deadline March 27
by Jakob Macke March 17, 2017

March 17, 2017

CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 6-26 August 2017, Champalimaud Centre for the Unknown, Lisbon, Portugal http://www.cccn.pt We have extended the application deadline to 27 March 2017 (midnight, CET time). DIRECTORS • Gilles Laurent (MPI Brain Research, Frankfurt, Germany) • Jakob Macke (Research Center Caesar, an associate of the Max Planck Society, Bonn, Germany) • Christian Machens (Champalimaud Centre for the Unknown, Portugal) Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. More information on the course website, http://www.ccn.pt Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-Courses-2017/CCCN2017/ Contact address: Simone Zacarias, simone.zacarias(a)research.fchampalimaud.org Faculty: Alberto Bernacchia University of Cambridge, UK Claudia Clopath Imperial College London, UK Anne Collins Helen Wills Neuroscience Institute, UC Berkeley, USA Sophie Denève Institut d'Etudes de la Cognition (IEC), France Rainer Engelken Max Planck, Goettingen, Germany David Fitzpatrick Max-Planck Florida Institute for Neuroscience, USA Julijana Gjorgjieva Max Planck Institute for Brain Research, Germany Pedro J. Gonçalves Research Center Caesar, Associate of Max Planck Society, Germany Richard Hahnloser Institute of Neuroinformatics, ETH Zurich, Switzerland Michael Häusser Wolfson Institute for Biomedical Research, University College London, UK Andreas Herz Bernstein Center for Computational Neuroscience Munich, Germany Matthias Kaschube Frankfurt Institute for Advanced studies, Germany Simon Laughlin University of Cambridge, UK Máté Lengyel University of Cambridge, UK Zhaoping Li University College London, UK Jennifer Linden UCL Ear Institute, UK Thomas Mrsic-Flogel Sainsbury Wellcome Centre, University College London, UK Joe Paton Champalimaud Centre for the Unknown, Portugal Astrid Prinz Emory University, USA Maneesh Sahani Gatsby Computational Neuroscience Unit, UCL, UK Thanos Siapas Caltech, USA Tatjana Tchumatchenko Max Planck Institute for Brain Research, Germany Andreas Tolias Baylor College of Medicine, USA Byron Yu Carnegie Mellon University, USA Jakob Macke Max Planck Research Group Leader Neural Systems Analysis research center caesar www.mackelab.org

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PhD position in Computational Neuroscience, Ruben Moreno-Bote Lab, Barcelona, Spain
by Ruben Moreno Bote March 17, 2017

March 17, 2017

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab* *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. We will also consider candidates with Psychology background interested in mathematical modeling. The candidate will develop state of the art mathematical techniques to understand neuronal dynamics and coding and will have access to multielectrode recording neural data. He/she could also be involved in the design of monkey and human behavioral experiments and the development of models of visual perception, decision making and working memory. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona (http://www.barcelonaneuroscience.com) Financial support is provided by the University Pompeu Fabra, and FLAG-ERA and MINECO grants. APPLICATION : A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled -- Rubén Moreno Bote Serra Húnter Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella, Building 24, office 331 Ramon Trias Fargas, 24-27 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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MIT-SENIOR UNITY 3D ENGINEER AND PROJECT LEAD
by Christopher Shay March 15, 2017

March 15, 2017

See below for a recently posted Job Opportunity: Job Description: SENIOR UNITY 3D ENGINEER AND PROJECT LEAD, McGovern Institute for Brain Research, to develop and lead a comprehensive Unity-3D-based interactive audio-visual simulation environment for use in training and testing artificial intelligence agents built using deep neural networks. Will join a group of laboratories based at MIT (DiCarlo lab) and Stanford (Yamins lab) that build neural network models of brain data and plan to use large quantities of simulated data to train these models. Primary responsibilities include developing and maintaining core modules for the code base, including high-quality rendering and physics plugins; procuring large numbers of realistic 3D assets for the environment and performing quality assurance to ensure they can be used together; and setting up and maintaining a large-scale, high-availability installation of the environment on a special-purpose Linux cluster. Job Requirements: REQUIRED: bachelor’s degree in computer science or software engineering (master’s in computer graphics or related field preferred); high level of competence in Unity-3D C# and Unity-3D software environments; expertise with a variety of modern rendering procedures, including approximate real-time and high-quality physically-based techniques; expertise in physics simulations, including methods for producing fast approximations to dynamics for complex objects; knowledge of 3D asset libraries and stores and issues with standardizing material properties for rendering and physics; ability to partner with colleagues and independently manage multiple projects/priorities while meeting changing deadlines, adapt to new technologies, and present information in a clear and cohesive manner; creative problem solving skills; ability to approach tasks with an eye toward efficiency and reproducibility; excellent written and oral communications skills; meticulous attention to detail; and proactive approach to investigative analysis. Experience in academic research highly desirable, particularly computational geometry and/or physically-based rendering. Job #14562 Please visit https://careers.mit.edu/ <https://careers.mit.edu/> to apply. Best, Christopher Shay, PhD Lab Manager DiCarlo Lab McGovern Institute Lab: (617) 452-3261 Fax:(617) 253-0104

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IARPA MICrONS Technical Supervisor Position (Washington, DC)
by Alyssa Picchini Schaffer March 15, 2017

March 15, 2017

Please contact David Markowitz if interested: david.markowitz(a)iarpa.gov *Machine Intelligence from Cortical Networks (MICrONS) Technical Supervisor* Despite significant progress in machine learning over the past few years, today’s state of the art algorithms are brittle and do not generalize well. In contrast, the brain is able to robustly separate and categorize signals in the presence of significant noise and non-linear transformations, and can extrapolate from single examples to entire classes of stimuli. This performance gap between software and wetware persists despite some correspondence between the architecture of the leading machine learning algorithms and their biological counterparts in the brain, presumably because the two still differ significantly in the details of operation. The MICrONS program aims to achieve a quantum leap in machine learning by creating novel machine learning algorithms that use neurally-inspired architectures and mathematical abstractions of the representations, transformations, and learning rules employed by the brain. To guide the construction of these algorithms, performers will conduct targeted neuroscience experiments that interrogate the operation of mesoscale cortical computing circuits, taking advantage of emerging tools for high-resolution structural and functional brain mapping. The program is designed to facilitate iterative refinement of algorithms based on a combination of practical, theoretical, and experimental outcomes: performers will use their experiences with the algorithms’ design and performance to reveal gaps in their understanding of cortical computation, and will collect specific neuroscience data to inform new algorithmic implementations that address these limitations. Ultimately, as performers incorporate these insights into successive versions of the machine learning algorithms, they will devise solutions that can achieve human-like performance on complex information processing tasks with human-like proficiency. Position Requirements: Requirement 1: PhD in neuroscience, physics or a related discipline with 4 years of experience studying coding and computation in high-throughput recordings of neural activity from behaving animals using quantitative methods, such as dimensionality reduction, time series analysis, and machine learning approaches. Requirement 2: Demonstrated experience in at least 3 of the following disciplines: high-throughput electrophysiology, multi-photon microscopy, optogenetics, circuit mapping, methods for manipulating cognitive processes in behaving animals. Requirement 3: Training and demonstrated capabilities in applied mathematics and computer science. Must be proficient with at least one numerical analysis and statistics framework (e.g. NumPy, Matlab, R) and one general-purpose programming language (e.g. Python, Java, C). Requirement 4: Two years of experience coordinating collaborative projects with diverse technical contributors and aggressive timelines for achieving results, as evidenced by research publications, public data sets or other artifacts of work. Desired 1: Strong background in systems neuroscience, with at least 2 years of experience studying the circuit basis of cognition. Desired 2: Strong background in machine learning (ML), with at least 2 years of experience using modern ML techniques to support scientific research or solve other challenging problems. Desired 3: Formal training in theoretical neuroscience. Desired 4: Professional software development experience. Desired 5: Experience using cloud computing technologies.

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Bernstein Network Information Booth at 12th Göttingen Meeting of the German Neuroscience Society (NWG)
by Kerstin Schwarzwaelder March 15, 2017

March 15, 2017

Dear colleagues, The Bernstein Network Computational Neuroscience will have an exhibition booth at the upcoming NWG Meeting<https://www.nwg-goettingen.de/2017/default.asp> in Göttingen (March 22 - 25, 2017). Representatives of the Bernstein Network<http://www.nncn.de/en/start_page?set_language=en>, the SMART<http://www.smartstart-compneuro.de/>START training program in Computational Neuroscience<http://www.smartstart-compneuro.de/>, and G-Node<http://www.g-node.org/> will be present at the booth. The booth will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities: G-Node<http://www.g-node.org/> and Simulation Laboratory Neuroscience - Bernstein Facility for Simulation and Database Technology<http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> Furthermore, the G-Node will present their new data management service<http://www.g-node.org/gin> for storing, sharing, and publishing research data. Demo presentations will be given during poster session times. Conference participants are invited to come by the booth any time to try out the new service. We are looking forward to welcoming you at our booth! Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD in Computational Neuroscience at the University of Exeter (fully funded)
by James Rankin March 15, 2017

March 15, 2017

3.5 year college funded PhD Studentship in Computational Neuroscience: *Neural dynamics of perceptual competition * Ref: 2589 Open to UK, EU and International students with maintenance (£14,296 per year) and tuition fees fully funded http://www.exeter.ac.uk/studying/funding/award/?id=2589 This interdisciplinary project will use mathematical modelling, in conjunction with psychophysics (human perception experiments), to better understand the neural competition underpinning the dynamics of perception. Ambiguity in fixed sensory stimuli can lead to spontaneous switches in perception, both in vision, e.g. binocular rivalry, Necker cube, and audition, e.g. auditory streaming (switches between grouped or segregated interpretations of tone sequences). A set of common characteristics (inevitability of perceptual changes, exclusivity between the competing percepts, and randomness in the percept durations), generalise across sensory modalities. The neural competition driving these perceptual switches has been successfully modelled in small networks of Wilson-Cowan (firing rate) units, each associated with the different perceptual interpretations. For certain stimuli, where competition takes place across a continuous feature space (say, visual orientation, motion direction, or auditory pitch), a continuum model, such as the neural field equation can be applied. This PhD project will involve the derivation of perceptual competition models in a dynamical systems framework, based on plausible neural mechanisms commonly found in sensory cortex. Modelling hypotheses and predictions will be tested against experimental data collected in our lab or from collaborators. On the modelling side, tools from bifurcation analysis including numerical continuation will be applied to investigate dynamics. The project will be flexible in terms of the balance between modelling and experiments. Candidates with quantitative backgrounds (mathematics, physics, and engineering) and from neuroscience or psychology programmes are encouraged to apply. Programming experience and/or knowledge of dynamical systems theory is a plus. Contact: j.a.rankin(a)exeter.ac.uk Informal enquiries welcome. Application deadline: 10th April 2017 Please forward to interested parties as appropriate Thanks, James

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Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2017
by Kerstin Schwarzwaelder March 14, 2017

March 14, 2017

Dear colleagues, For the eighth time, the Bernstein Association for Computational Neuroscience<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2016 or 2017. The award is endowed with a travel grant of 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2017 in Göttingen (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 27, 2017 (2:00 p.m. CET). Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2017<http://www.nncn.de/en/bernstein-association/brains-for-brains-2017> For inquiries please contact bernstein.network(a)fz-juelich.de<mailto:bernstein.network@fz-juelich.de> Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Sense 2 Synapse 2017 Conference, Saturday April 8th, The Rockefeller University, New York City, Abstract Registration Closing Soon (March 20th).
by Christoph Kirst March 14, 2017

March 14, 2017

Dear all The deadline for submitting abstracts for this year's *Sense 2 Synapse *is approaching soon on *March 20th*. You can still register here: *http://www.sense2synapse.com/registrationForm <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sense2synapse.com_r…> *Sense 2 Synapse will be held on Saturday, *April 8th, 2017* in the Carson Family Auditorium at *The Rockefeller University, New York City *! The conference is an annual event for scientists working on the biology of sensory transduction, subsequent neural processing and perception. With *Larry Abbott *(Columbia University), *Nicole Rust* (University of Pennsylvania),****Sarah Woolley**(Columbia University) and*Gaby Maimon* (The Rockefeller University) we have a great list of key-note speakers, which will be complemented by talks selected from abstract submissions and a poster session. More information can be found at: *http://sense2synapse.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__sense2synapse.com_&d=Dw…> * Join us for a great day of science, discussions and nice food ! The organizing team Christoph Kirst Florian Berger Jeremie Barral Gonzalo Otazu Nicolas Renier -- Christoph Kirst Fellow for Physics and Biology Center for Theoretical Studies and Kavli Physics Fellow Kavli Neural Systems Institute The Rockefeller University

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deadline for International Conference on Cognitive Modeling/Society for Mathematical Psychology extended
by Marieke van Vugt RUG March 14, 2017

March 14, 2017

Dear colleagues, The Society for Mathematical Psychology and International Conference on Cognitive Modeling will hold a joint conference this year in Warwick, UK, from July 22nd-25th. The goal of the conference is to bring researchers together who are interested in using computational and mathematical modeling to better understand human cognition. It is a forum for presenting, discussing, and evaluating the complete spectrum of cognitive modeling approaches, including mathematical models, connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. We welcome basic and applied research across a wide variety of domains, ranging from low-level perception and attention to higher-level problem-solving and learning. We also welcome contributions that use computational models to better understand neuroimaging data. The submission deadline for MathPsych/ICCM 2017 has been extended to April 1st, 11:59pm GMT for all types of submissions. Please make your submissions through the links at http://mathpsych.org/conferences/2017/submissions/ <http://mathpsych.org/conferences/2017/submissions/>. Best wishes, Adam Sanborn, Gordon Brown, James Adelman (MathPsych co-chairs) Marieke van Vugt, Adrian Banks, Bill Kennedy (ICCM co-chairs) -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

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2017 NEURON Summer Course
by Ted Carnevale March 13, 2017

March 13, 2017

The 2017 NEURON Summer Course will be held at Wright State University in Fairborn, Ohio, from Monday, June 5, through Saturday, June 10. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. This year we have increased the course duration to 6 days (5 days in previous years) in order to provide expanded coverage of parallel simulation, and to give participants more time for active learning exercises. The registration deadline is Monday, May 15, 2017. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2017/summer2017.html --Ted

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2017 Methods in Neuroscience at Dartmouth Computational Summer School
by Matthijs van der Meer March 13, 2017

March 13, 2017

Methods in Neuroscience at Dartmouth (MIND) 2017 Computational Summer School August 13th - 20th, 2017 https://summer-mind.github.io/ We are delighted to welcome applications for our inaugural Methods in Neuroscience at Dartmouth (MIND) Computational Summer School. The theme of this year’s summer school is Network Dynamics at Multiple Spatiotemporal Scales. There is a growing gap between how graduate students in psychology and neuroscience are trained and what they actually need to know to do cutting edge work. In addition, there is increasing interest in supplementing the traditional reductionist approach to studying the elements of brain, cognition, and behavior in isolation, to integrating how these elements interact as a cohesive complex system. This entails considering not just which elements in a network interact, but also the content of the interaction, and the dynamics of how this information flows through networks over time. This general issue is present in multiple domains, with an accompanying need for similar tools: neurophysiologists studying spiking activity in ensembles of single neurons, cognitive neuroscientists studying whole-brain activity levels, and social psychologists studying group interactions. Our curriculum is motivated by the realization that there is a common core of computational methods that apply across different subfields of neuroscience, with exciting opportunities for crossover across these subfields. Thus, our summer program aims to provide integrated training of network methods at the circuit, whole-brain, and social network levels. The overall format has short lectures in the morning, followed by hands-on tutorial-style labs, and a hackathon in which students will collaboratively work on projects with faculty. Themes running through the curriculum include open tools and data, data visualization, statistical modeling, and model comparison. The summer school will be taught by faculty with unique expertise in using innovative computational techniques to understand network dynamics at multiple scales. Chris Baldassano (Princeton University) Luke Chang (Dartmouth College) Janice Chen (Johns Hopkins University) Nicholas Christakis (Yale University) Howard Eichenbaum (Boston University) Sam Gershman (Harvard University) Caterina Gratton (Washington University) Yaroslav Halchenko (Dartmouth College) James Haxby (Dartmouth College) Christopher Honey (Johns Hopkins University) Caleb Kemere (Rice University) Jeremy Manning (Dartmouth College) Ida Momennejad (Princeton University) Matthijs van der Meer (Dartmouth College) Thalia Wheatley (Dartmouth College) Topics include: Open source computing resources Estimation and hypothesis testing with computational modeling Representing and describing networks Identifying structure in networks through connectivity Characterizing the temporal dynamics of networks Identifying representations of information using decoding techniques The application deadline is April 15th, 2017. Information about how to apply can be found on our website https://summer-mind.github.io/ Luke Chang, Jeremy Manning, and Matt van der Meer Directors Jim Haxby, Thalia Wheatley, Todd Heatherton, and Dan Rockmore Advisory Committee This event is sponsored by the Center for Social Brain Sciences, Center for Cognitive Neuroscience, and Neukom Institute for Computational Sciences at Dartmouth.

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CfP: ACM Symposium on Applied Perception 2017
by Douglas Cunningham March 13, 2017

March 13, 2017

Symposium on Applied Perception Call for Papers and PostersThe ACM Symposium on Applied Perception (ACM SAP) aims to advance and promote research that crosses the boundaries between perception and disciplines such as graphics, visualization, computer vision, haptics and acoustics. These fields can benefit from the exchange of ideas. The scope of the conference includes applications and algorithms in any area of research that incorporates elements of perception and computer science. Our fourteenth annual event provides an intimate, immersive forum for exchanging ideas about areas of overlapping interests. The ACM SAP 2017 conference will be held in Cottbus, Germany at the Brandenburg University of Technology on the 16th and 17th of September, 2017. We aim to further promote communication between the core perception and computer graphics communities. We invite submissions of original work in all areas of applied perception. Relevant areas include: * Modeling, rendering, and animation * Visualization * Computational aesthetics * Haptic rendering, haptic input and perception * Perception of virtual characters * Color vision and color appearance modeling * Perception of high dynamic range scenes and images * Interaction techniques and interfaces * Augmented reality * Virtual worlds * Display technologies * Auditory display and interfaces * Perceptual auditory coding * Spatialized sound * Speech synthesis and recognition * Sensory integration * Multimodal rendering * Spatial and temporal vision * Attention and eye movements * Statistical learning and perception of natural scenes * Perception of shapes, surfaces, and materials PapersResearch can be submitted as a long paper (up to 8 pages and up to 20 minute talk), a short paper (up to 4 pages and up to 15 minute talk), or as a poster presentation (1 page abstract). All submissions should follow the generalSIGGRAPH formatting guidelines. Diagrams and images should be represented in color where appropriate. Papers that are not accepted will be considered for the poster session. Authors of posters accepted by this route will, of course, have the option to decline the opportunity to present a poster. PostersThe posters program at SAP provides an informal venue for authors to share their research achievements and further discuss them with others. In that spirit, we encourage all types of scholarly submissions that fit the scope of ACM- SAP. In particular, we explicitly welcome poster submissions on work- in-progress and on work that may have been previously published elsewhere but for which additional dissemination and discussion is desired. The poster session is an integral part of SAP and the SAP program will include a dedicated time slot for poster viewing and discussion. All poster presenters will also have the opportunity to give a one-minute presentation on their work during a poster fast- forward session. NOTE: SAP poster abstracts are NOT considered to be publications, and as such will NOT appear in the ACM Digital Library. Poster abstracts WILL be included in the conference USB drive. Poster abstracts should follow the general SIGGRAPH formatting guidelines, except that they should be 1 page long. . Further detailsAll papers will be carefully reviewed by our International Program Committee. SAP follows a double blind review process. Papers will be evaluated as submitted, given limited time between submission and printing of final versions. Under a recent agreement with the ACM Transactions on Applied Perception (TAP) and the ACM Publications Board, the strongest accepted papers will be offered publication as full papers in the ACM journal TAP. Authors of such special issue papers must agree to present the paper at ACM SAP. As has always been the case, authors of regular ACM SAP papers can still submit to TAP regular issues with appropriate additions. Papers that have been recommended for acceptance in the ACM TAP journal will undergo a second review cycle, during which the authors will revise the paper to address reviewer concerns (similar to conditional acceptances at ACM SIGGRAPH). Please note that TAP referrals are conditional. The TAP reviewers may recommend bringing the paper back to the SAP proceedings if the quality of the revision is inadequate. Therefore, it is very important to incorporate as many reviewer comments as possible into the revision. The revised paper has to be submitted in TAP format to Manuscript Centr al and must include a cover letter stating that the submission is for the SAP special issue. The cover letter should also document the list of changes made to the paper to address the reviewer concerns. Reformatting an 8-page paper from the SAP format to the TAP format typically adds a few pages so we expect the final papers will have somewhere between 10-15 pages. TAP papers must not exceed 20 pages in length. Complete TAP author guidelines and templates are available at h ttp://tap.acm.org/authors.cfm. Conference Chairs * Douglas W. Cunningham, Brandenburg University of Technology * Michael Breuß, Brandenburg University of Technology Program Chairs * Sophie Joerg, Clemson University * Victoria Interrante, University of Minnesota Poster Chair * Susana Castillo Alejandre, Brandenburg University of Technology Deadline sPapers: * Monday, May 22: Mandatory abstract submission * Friday, May 26: Paper submission deadline * Friday, June 23: Decisions announced * Friday, July 14: Final papers due Papers recommended for TAP: * Friday, July 14 (Camera Ready) Revisions to TAP recommended papers due (anonymous, in TAP format) * Friday, July 21: Notification to TAP authors Posters: * Friday, July 7: Poster submission * Friday, July 21: Decisions announced * Friday, July 28: Camera ready version of 1-page abstract due

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[ICANN 2017] DEADLINE EXTENSION -- 26th International Conference on Artificial Neural Networks, Alghero, Sardinia, Italy
by ENNS Secretary March 13, 2017

March 13, 2017

Second Announcement and Call For Papers // DEADLINE EXTENSION [Apologies for cross-postings] #ICANN2017ENNS =========================================================== www.icann2017.org ICANN 2017 26th International Conference on Artificial Neural Networks Alghero, Sardinia, Italy 11th - 15th September 2017 =========================================================== The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2017, the 26th ICANN will be organised from the 11th to the 15th of September 2017 in Alghero, Sardinia, Italy. Conference proceedings will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. IMPORTANT DATES Submission of abstracts and papers: Extended to 3 April 2017 Notification of acceptance: 15 May 2017 Camera-ready paper and registration: 28 May 2017 Conference dates: 11 - 15 September 2017 CONFIRMED PLENARY SPEAKERS Moshe Abeles (Bar-Ilan University) Elisabeth André (Universität Augsburg) Michele Giugliano (University of Antwerp) Marco Gori (Università degli Studi di Siena) David Ríos Insua (ICMAT-Institute of Mathematical Sciences, Madrid) CONFERENCE TOPICS ICANN 2017 will feature the main tracks Brain Inspired computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: • Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. • Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. • Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE OBJECTIVES - To bring together researchers from two worlds: Information Sciences and Neurosciences - To keep a wide scope, ranging from Machine Learning Algorithms to models of real nervous systems - To facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain. - To help researchers to meet, mingle and network with colleagues from all over the world. - To be the meeting point between research and business. - To be a global interdisciplinary meeting encompassing Machine Learning and Neural Computation. - To help young researchers on the job market meet and mingle with potential labs and research groups in an informal setting. BENEFITS OF ATTENDING THE CONFERENCE - A solid cutting-edge scientific programme including talks from the world experts in the field of artificial neural networks. - A conference schedule tailored to encourage interaction between the attendees, with time for networking and discussion. - The publication of all accepted contributions in the peer-reviewed book of conference proceedings, in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series. - The opportunity to vote and to be considered for the best paper awards, presented during the final ceremony of ICANN. - A top-level conference in the field with a reasonable registration fee, thanks to the not-for-profit policy of the ENNS organisation. Students can apply for ENNS funded travel grants to attend. - An overly attractive conference location in the beautiful setting of the Sardinian coast, with social events to explore the area. http://www.alghero-turismo.it/en/ CONFERENCE REGISTRATION FEES Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim at full implementation of the academic not-for-profit policy. Early registration fees: Undergraduate students (Bachelor and Master level): 100 EUR PhD Students: 240 EUR Regular delegates: 290 EUR ENNS members have a reduction of 40 EUR Students can apply for ENNS funded travel grants to attend (see the conference website for details). CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2017 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and 2 hours presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of maximum 8 pages length that will be refereed to international standards by at least three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract that will also be refereed by at least three referees. The abstracts will be published all together in a proceedings section without an author index. In case of program constraints the priority will be given to original contributions accompanied by a full paper submission. CALL FOR WORKSHOPS AND SPECIAL SESSIONS ICANN 2017 invites proposals for workshops and special sessions to be held as satellite events of the conference. For more information, please refer to the website and/or contact the general chair. BEST PAPER AWARDS ENNS will sponsor several best paper awards, in the Brain Inspired Computing track and in the Machine Learning research track. All awardees will be presented during the final ceremony. ORGANISATION General Chair: Alessandro E.P. Villa General Co-chairs: Alessandra Lintas, Věra Kůrková, Stefano Rovetta, Paul F.M.J. Verschure Local Co-chairs: Eugenio Lintas, Anna Mura Program and Workshop Committee: Cesare Alippi, Jérémie Cabessa, Barbara Hammer, Petia Koprinkova-Hristova, Jaako Peltonen, Antonio J. Pons, Yifat Prut, Stefano Rovetta, Igor V. Tetko, Paul F.M.J. Verschure, Alessandro E.P. Villa, Francisco Zamora-Martinéz Communications Chair: Paolo Masulli Organisation Università degli Studi di Sassari, Italy University of Lausanne, Switzerland Universitat Pompeu Fabra, Spain European Neural Network Society, Switzerland

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Postdoctoral Research Position in Comp-Neuro of Spatial Memory, Sheffield, UK
by Tony Prescott March 12, 2017

March 12, 2017

POSTDOCTORAL RESEARCH POST IN COMPUTATIONAL NEUROSCIENCE We are seeking a post-doctoral research associate in computational neuroscience of episodic and spatial memory. This is a full-time post at the University of Sheffield Department of Psychology, the post will be located in Sheffield Robotics <http://www.sheffieldrobotics.ac.uk/>. The role will be to develop models of the mammalian hippocampal system as networks of rate-coded or spiking model neurons and to test these within a wider systems architecture controlling exploration and navigation in simulated or physical mobile robots. The post is supported by the European Union Flagship Human Brain Project <https://www.humanbrainproject.eu/en_GB> and within the sub-field of systems neuroscience and computational modelling. Though initially till the end of March 2018, it is expected that the position will be extended beyond that date. Applicants should hold a PhD equivalent in a numerate discipline and have experience of computational neuroscience modelling. For further information and to apply go to http://www.sheffield.ac.uk/jobs and enter the job code: UOS015616, deadline is the 11th of April. Feel free to contact me directly for informal enquiries. Regards, Tony Prescott p.s. apologies for cross-posting. ------------------------------------------------------------------------------------------------------------------------------------------------------ Tony J Prescott <http://www.shef.ac.uk/psychology/staff/academic/tony-prescott>, Professor of Cognitive Neuroscience, University of Sheffield Director of Sheffield Robotics <http://www.sheffieldrobotics.ac.uk/>; Editor-in-Chief, Connection Science <http://www.tandfonline.com/loi/ccos20> mail: t.j.prescott(a)sheffield.ac.uk, twitter: tonyjprescott <https://twitter.com/tonyjprescott?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7C…> ------------------------------------------------------------------------------------------------------------------------------------------------------

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Frontiers in Serotonin Research Symposium
by Wong-Lin, Kongfatt March 12, 2017

March 12, 2017

We are very pleased to announce an upcoming neuroscience symposium titled Frontiers in Serotonin Research – Crossing Scales and Boundaries. The symposium will be held in Beijing Normal University, Beijing, China, on the 28th and 29th June this year. Serotonin is an important chemical in the brain. It modulates neuronal and neuronal circuit activities and regulates mood, cognition and behavior. Dysfunctions of the serotonergic system are associated with various brain disorders. Recent research using advanced technologies have revealed additional levels of heterogeneity and complexity in the serotonergic system, hence presenting new challenges to research and therapy. This symposium aims to bring together experimental and computational researchers that work across different scales of the serotonergic system to address these challenges. Confirmed speakers include Trevor Sharp (University of Oxford,UK), Minmin Luo (NIBS, China), Francesc Aartigas (IDIBAPS, Spain), Kae Nakamura (Kansai Medical University,Japan), Yousheng Shu (BNU, China), Katsuhiko Miyazaki (OIST, Japan), Xuechu Zhen (Soochow University,China), Giuseppe Di Giovanni (University of Malta; University of Cardiff), and Albert Compte (IDIBAPS, Spain). If you are interested in attending the symposium or have any enquiry, please contact Prof. Da-Hui Wang (wangdh(a)bnu.edu.cn<mailto:wangdh@bnu.edu.cn>). Best, Prof. Da-Hui Wang (Beijing Normal University, China) and Dr. KongFatt Wong-Lin (Ulster University, UK) ------------------ Further information: Beijing is the capital of China, and has a long history with many attractions. The latter include the Forbidden City, Summer Palace, Great Wall, etc. (e.g. see http://www.china.org.cn/travel/beijingguide/node_7044548.htm) The weather in Beijing toward the end of June can be warm and has an average high temperature of about 30 °C. Beijing Normal University (BNU) is one of the top universities in China (http://english.bnu.edu.cn/about_bnu/general_information/index.htm) Its faculty and staff conduct highly competitive research in the humanities, social sciences, and natural sciences. The State Key Laboratory of Cognitive Neuroscience and Learning (http://brain.bnu.edu.cn/en/Home/) at BNU consists of leading laboratories on cognitive neuroscience research in China. The School of Systems Science at BNU is another prominent research institute which focuses on the science and applications of complexity, which includes neural systems, complex networks, socioeconomic system and multi agent systems. The most convenient way to travel from Beijing Capital International Airport to Beijing Normal University campus is by taxi. The taxi fare is about 100 RMB one way, and the journey takes about 40 minutes. There is a hotel named Jing Shi Da Sha located on campus (http://www.ciae.bnu.edu.cn/english/index.html) This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Workshop on Brain Dynamics and Neurocontrol Engineering, (St. Louis, USA) June 26-27, 2017
by ShiNung Ching March 9, 2017

March 9, 2017

Workshop on Brain Dynamics and Neurocontrol Engineering, (St. Louis, USA) June 26-27, 2017 We are pleased to invite participants to the Workshop on Brain Dynamics and Neurocontrol Engineering at Washington University in St. Louis (St. Louis, MO, USA), to be held this summer (June 26-27, 2017). ** Travel awards (including meals, housing) are available for students, postdocs and junior faculty. ** The goal of this workshop is to provide a focused forum for the discussion of research synergy between the dynamical systems, control and neuroscience communities. An emphasis will be placed on bringing together experts from each of these domain areas, in an effort to discuss current formulations and future challenges. Topics include: Inferring dynamics in neural circuits, Linking control-theoretic analysis of neural circuits to function, and Optimizing extrinsic manipulation of neural activity. For full information, including speaker list, award and registration details, please visit: http://sites.wustl.edu/brain Please direct questions to: braindynamics(a)wustl.edu

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Call for Papers Brain-Inspired Intelligence Technology
by Reinoud Maex March 9, 2017

March 9, 2017

Call for Papers Special issue of the Journal of Integrative Neuroscience http://www.iospress.nl/journal/journal-of-integrative-neuroscience on Brain-Inspired Intelligence Technology Guest Editors: R.J. Martis, H. Lin, E. Barakova and Y. Zeng Brain-inspired intelligence technology aims to showcase the principles and mechanisms of human intelligence through development of brain-inspired intelligent systems. It is an effort to extract, integrate and analyse these principles and mechanisms across scale from quantum neuroscience to cognitive science research in pioneering the next wave of sentient technologies. The special issue is unprecedented, showcasing brain-inspired technology beyond 2020. Deadline for submission:25 November 2017 How to Submit: Authors are requested to submit their manuscript via the submission system available at http://msTracker.com/submit1.php?jc=jin In the “Cover Letter” box please indicate you are submitting your paper to the special issue on Brain-Inspired Intelligence Technology Topics of relevance include: * Biophysical neural networks * Brain-inspired cognitive models * Wetware design * Neurophotonics * Elemental conscious constructs * Quantum entanglement in agents * Cognitive technology supporting brain-inspired intelligence * Brain connectome based on optical nanoscopy technology * Observer-independent intelligence * Pico-scale resolution patch-clamping * Brain-inspired super and general artificial intelligence * New deep neural networks for brain-inspired learning * Brain-inspired intelligent hardware infrastructures * Cognitive neurorobotics For more information contact: Yi Zeng, Ph.D Deputy Director Research Center for Brain-inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing, China, 100190 Email: yi.zeng(a)ia.ac.cn

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Postdoctoral research associate in machine learning (curiosity-based learning, probabilistic theories of deep learning)
by Răzvan Valentin Florian March 9, 2017

March 9, 2017

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postdoc position in computational neuroscience/brain physics in Oslo Norway
by Gaute Einevoll March 7, 2017

March 7, 2017

Postdoctoral Research Fellowship in Computational Neuroscience/Brain Physics in Oslo, Norway Applications are invited for a post-doctoral position in computational neuroscience/brain physics at the Department of Physics at the University of Oslo. The position is funded by the Research Council of Norway as part of the FRINATEK project "COmputing BRAin signals (COBRA): Biophysical computations of electrical and magnetic brain signals". The position is for 2 years and expected start date is in the Spring/Summer of 2017. Job/project description: The successful candidate will develop and apply physics-based computational methods to model electrical and magnetic brain signals measured inside (local field potential; LFP) and outside (EEG, MEG) cortex. For a review of this biophysical modeling approach, see Einevoll et al., Nature Reviews Neuroscience, 2013. In COBRA this modeling work will be compared with corresponding in-house experimental recordings from mouse visual cortex done in the laboratory of Marianne Fyhn at Department of Biosciences at UiO. The project thus also involves the development of a network model for mouse visual cortex. The candidate will work in the cross-disciplinary environment CINPLA (cinpla.org) a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources. Requirements: Applicants must hold a master's degree in physics and have a PhD in either computational neuroscience or theoretical physics with a significant computational component. The candidate must have demonstrated strong skills in developing codes for scientific computing. Previous experience in neuroscience is considered advantageous, but not required. For more information, including on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/135223/postdoctoral-research… Deadline for application: April 2nd 2017 For questions, please contact professor Gaute T. Einevoll, gaute.einevoll(a)fys.uio.no. ********************************************** Gaute T. Einevoll Faculty of Science and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.nmbu.no, cinpla.org

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Swartz Fellowship in Theoretical Neuroscience at the University of Washington
by Eric Shea-Brown March 6, 2017

March 6, 2017

The Swartz Center for Theoretical Neuroscience at the University of Washington in Seattle is seeking applications for a Swartz Postdoctoral Fellow. The Fellow should have a strong analytical or computational background and will be free to work on projects with the extensive and vibrant UW theoretical and experimental neuroscience community, http://compneuro.washington.edu/ <http://compneuro.washington.edu/>. Possibilities also exist for collaborations with the Allen Institute for Brain Science. The Fellowship is available immediately although start date is negotiable, and applications will be considered until the position is filled. Please send a one-page statement of interests and CV with contact information for references. Please send applications to fairhall(a)u.washington.edu <mailto:fairhall@u.washington.edu> and etsb(a)u.washington.edu <mailto:etsb@u.washington.edu>.

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1st Conference of the Timing Research Forum - Call for Abstracts
by teki March 5, 2017

March 5, 2017

Dear list members, The call for abstracts and symposium proposals for the 1st Conference of the Timing Research Forum <http://timingforum.org/> (TRF1) is now open. TRF1 is the first international conference dedicated to multidisciplinary research on timing and time perception and will be held in *Strasbourg, France from October 23-25, 2017*. The deadline to submit both abstracts and symposium proposals is *May 1, 2017*. During the submission process, please indicate if you wish to present an oral or poster presentation, and express your interest for student travel awards. All selected abstracts will be published in the journal, Timing and Time Perception Reviews <http://www.brill.com/node/37536>. We are pleased to announce three impressive Keynote Speakers - *Warren Meck* <https://psychandneuro.duke.edu/people/warren-h-meck>: Professor, Duke University *Lera Boroditsky* <http://lera.ucsd.edu/>: Associate Professor, University of California San Diego *Sofia Soares* <http://www.neuro.fchampalimaud.org/en/person/175/>: PhD Candidate, Champalimaud Centre for the Unknown Sofia will present her paper <http://science.sciencemag.org/content/354/6317/1273.long> - Soares, S., Atallah, B. V. & Paton, J. J. (2016) *Midbrain dopamine neurons control judgment of time*. *Science* 354, 1273–1277, that was selected by the TRF Committee <http://timingforum.org/committee-members/> as the 'Best Timing Paper of 2016'. We thank our current sponsors - Wellcome Trust, INSERM, CNRS, Neuropole Strasbourg, FMTS and the University of Strasbourg and look forward to further proposals of sponsorship. Our sponsorship booklet is available here <https://trf-strasbourg.sciencesconf.org/resource/page/id/8>. Anyone interested in *joining the Timing Research Forum* can do so by following the instructions at this link <http://timingforum.org/membership> . For further details about submission guidelines, conference program, registration, accommodation etc., please visit the conference website - *https://trf-strasbourg.sciencesconf.org* <https://trf-strasbourg.sciencesconf.org/>. We look forward to seeing you in Strasbourg! Anne Giersch & Jenny Coull Conference Co-Chairs trf.strasbourg(a)orange.fr & Sundeep Teki & Argiro Vatakis (On behalf of Timing Research Forum) timingforum.org --- Sundeep Teki PhD Sir Henry Wellcome Fellow Auditory Neuroscience Group Department of Physiology, Anatomy & Genetics University of Oxford Parks Road, Oxford OX1 3PT sundeepteki.org | @sundeepteki <https://twitter.com/sundeepteki>

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CNS*2017 Abstract Deadline Extension
by Sharon Crook March 3, 2017

March 3, 2017

Abstract Deadline Extended to March 12 CNS*2017 Call for Abstracts Organization for Computational Neurosciences (OCNS) 26th Annual Meeting Antwerp, Belgium July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece Karl Friston, University College London, UK Sue Denham, University of Plymouth, UK A preliminary program for the workshops is available at: http://www.cnsorg.org/cns-2017-workshops Registration and abstract submission are open. Abstract submission deadline: Extended to March 12, 2017 Travel Award Application deadline: Extended to March 12, 2017 Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. Latest safe date for Member applications before abstract submission extended to March 8. For up-to-date conference information, please visit: http://www.cnsorg.org/meetings

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DEADLINE EXTENDED: MBL Methods in Computational Neuroscience Course applications due March 7
by Mark Steven Goldman March 3, 2017

March 3, 2017

The application deadline for the Methods in Computational Neuroscience course at the Marine Biological Laboratory in Woods Hole, MA has been extended to March 20. The full advertisement is included below: Applications are open for the Methods in Computational Neuroscience course at the Marine Biological Laboratory in Woods Hole, MA. The course will run from July 30 to August 24, 2017, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 20*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2017 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2017 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Joshua Berke, UCSF Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Sophie Deneve, Ecole Normale Superieure Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Stefano Fusi, Columbia University Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Cristina Savin, NYU Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU

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[ADSAA-BIOMED2017] Adaptive Analysis Applied to Biomedical Data (no publication charges)
by Leonardo Abdala Elias March 3, 2017

March 3, 2017

Dear colleague, Does your research involve adaptive data analysis? We invite you to submit an experimental, theoretical or review paper to ADSAA-BIOMED2017 - Adaptive Analysis Applied to Biomedical Data, a special issue of the journal Advances in Data Science and Adaptive Analysis (http://www.worldscientific.com/worldscinet/adsaa) More information available @ https://easychair.org/cfp/ADSAA-BIOMED2017 Submissions are open @ https://easychair.org/conferences/?conf=adsaabiomed2017 Submission deadline: October 31, 2017 No publication charges. Journal listed in SJR. Impact factor 0.92. Experimental, Theoretical and Review papers are accepted. Suggested topics (not limited to): • Empirical Mode Decomposition, Bayesian methods, Kalman filtering, machine learning techniques; • Adaptive analysis applied to biomedical data (e.g., biological signals, such as EMG, ECG, EEG, neural activity, medical images, biomechanical data); • Adaptive analysis in thematic areas such as burgeoning datasets (Big Data) emerging as a result of wearable wireless systems. Contact: adsaabiomed2017(a)easychair.org (mailto:adsaabiomed2017@easychair.org) This special issue is led by the ADSAA-BIOMED2017 team. ADSAA Editor-in-Chief • Prof. Samuel S.P. Shen (http://shen.sdsu.edu/) Department of Mathematics and Statistics, San Diego State University, San Diego, USA (Sam.shen(a)sdsu.edu (mailto:Sam.shen@sdsu.edu)) Leading Guest Editors • Prof. Adriano O. Andrade (http://lattes.cnpq.br/1229329519982110) Federal University of Uberlândia, Uberlândia, Brazil (adriano(a)ufu.br (mailto:adriano@ufu.br)) • Prof. Slawomir J. Nasuto (https://www.reading.ac.uk/biologicalsciences/bme/about/staff/s-j-nasuto.aspx) University of Reading, Reading, UK (s.j.nasuto(a)reading.ac.uk (mailto:s.j.nasuto@reading.ac.uk)) Associated Guest Editors • • Dr. Catherine M. Sweeney-Reed (http://www.kneu.ovgu.de/kneu/en/Research/Research+Groups/Workgroups/Neurocy…) Otto von Guericke University, Magdeburg, Germany (catherine.sweeney-reed(a)med.ovgu.de (mailto:catherine.sweeney-reed@med.ovgu.de)) • Dr. Nicoletta Nicolaou (https://sites.google.com/site/nicolaounikki/home) University of Reading, Reading, UK (n.nicolaou(a)reading.ac.uk (mailto:n.nicolaou@reading.ac.uk)) • Prof. Marcus Fraga Vieira (http://lattes.cnpq.br/4153462617460766) Federal University of Goiás, Goiânia, Brazil (marcus(a)ufg.br (mailto:marcus@ufg.br)) • Prof. Teodiano Freire Bastos (http://lattes.cnpq.br/3761585497791105) Federal University of Espírito Santo, Vitória, Brazil (teodiano.bastos(a)ufes.br (mailto:teodiano.bastos@ufes.br)) • Dr. Sri Krishnan (http://www.ee.ryerson.ca/people/Krishnan.html) Ryerson University, Toronto, Canada (krishnan(a)ryerson.ca (mailto:krishnan@ryerson.ca)) • Dr. Leonardo Abdala Elias (http://lattes.cnpq.br/5429275286295501) University of Campinas, Campinas, Brazil (leoelias(a)fee.unicamp.br (mailto:leoelias@fee.unicamp.br)) • Dr. Steffen Walter (https://www.researchgate.net/profile/Steffen_Walter) University of Ulm, Ulm, Germany (steffen.walter(a)uni-ulm.de (mailto:steffen.walter@uni-ulm.de)) We look forward to receiving your contribution. The ADSAA-BIOMED2017 team Unsubscribe (http://dmanalytics2.com/delivery-unsubscribe?d=CHvgFcXeRP6yA1wqiBnL2g&e=com…) [Image: Direct Mail for Mac] (http://dmanalytics2.com/about-dm?utm_source=fr-ftr&utm_medium=email&utm_con…) This email is powered by Direct Mail for Mac. Learn More (http://dmanalytics2.com/about-dm?utm_source=fr-ftr&utm_medium=email&utm_con…) • Report Spam (http://dmanalytics2.com/report-spam?d=CHvgFcXeRP6yA1wqiBnL2g&e=comp-neuro@n…)

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Computational & Cognitive Neuroscience Summer School, in Shanghai (deadline March 15)
by Murray, John March 3, 2017

March 3, 2017

We are pleased to announce the 7th Computational and Cognitive Neuroscience (CCN) Summer School which will take place July 6-29, 2017, on the campus of NYU-Shanghai in Shanghai, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and other countries in the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental background are welcomed. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation, microcircuits and large-scale systems, to normative theoretical approach. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information is available on the CCN official website: http://www.ccnss.org Applications are being accepted now through the NYU-Shanghai website: https://research.shanghai.nyu.edu/centers-and-institutes/brain/ccnss-2017-a… The application deadline is March 15, 2017. Organizers: - Xiao-Jing Wang (New York University) - Zach Mainen (Champalimaud Neuroscience Program) - Si Wu (Beijing Normal University) - John D. Murray (Yale University) - Eric DeWitt (Champalimaud Neuroscience Program) 2017 Lecturers: - Daphne Bavelier (University of Geneva) - Timothy Behrens (University of Oxford) - Matthew Botvinick (Google DeepMind) - Michael Breakspear (University of Queensland) - Robert Desimone (Massachusetts Institute of Technology) - Jeff Erlich (NYU Shanghai) - Stefano Fusi (Columbia University) - Surya Ganguli (Stanford University) - Michael Hausser (University College London) - Nikolaus Kriegeskorte (MRC Cognition and Brain Sciences Unit) - Yann LeCun (New York University & Facebook AI Research) - Sukbin Lim (NYU Shanghai) - Alex Pouget (University of Geneva) - Matthew Rushworth (University of Oxford) Feel free to direct any questions to: john.murray(a)yale.edu John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu -----------------------------------------------

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RESEARCH FELLOW IN DEEP BRAIN STIMULATION FOR EPILEPSY AND SEIZURE PREDICTION (2 POSITIONS)
by Levin Kuhlmann March 2, 2017

March 2, 2017

Exciting med-tech opportunity at the interface between academia and industry. We are seeking talented research scientists to join a team conducting a clinical trial of a fully implantable system for seizure forecasting and control with epilepsy patients. Requires experience in electrophysiology and neural signal analysis. There are two Research Fellow positions available in our epilepsy research group for a new NHMRC research project titled Critical Slowing in Epilepsy. The research will quantify how the brain changes around times where it is susceptible to seizures. Seizure susceptibility will be studied using a new deep brain stimulation and recording system in a first in man clinical trial in partnership with the medical device company, Medtronic. There are also opportunities to study seizure susceptibility using the one-of-a-kind long-term continuous intracranial electroencephalography database obtained from the clinical trial of the Neurovista Seizure Advisory System. At least one of the Research Fellows will be involved in all aspects of the Medtronic trial, from testing with patients to data analysis and reporting. Testing will involve measuring the interaction between the brain's response to very small electrical stimuli and epilepsy-related changes. Close date: 12 Mar 2017 Contact both Dr Levin Kuhlmann (levink(a)unimelb.edu.au) and Dr Dean Freestone (deanrf(a)unimelb.edu.au) for details. For a position description, selection criteria and to apply visit: http://jobs.unimelb.edu.au/caw/en/job/890173/research-fellow-in-deep-brain-…

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Global Scholar Awards for New Investigators
by Zylberberg, Joel L March 1, 2017

March 1, 2017

Hi All, I want to draw your attention to a new investigator award that is open to faculty working anywhere in the world (and of any nationality). The CIFAR Azrieli Global Scholar Awards<http://www.cifar.ca/global-scholars/> provide $100K (CAD) in unrestricted funds over a 2 year period. In addition to the research funding, the global scholars are appointed as members of the CIFAR research programs that most closely match their work. For the comp-neuro community, I'm guessing that would be either Learning in Machines and Brains<https://www.cifar.ca/research/learning-in-machine-and-brains/>, or Brain, Mind, and Consciousness<https://www.cifar.ca/research/brain-mind-consciousness/>. The programs have small workshop-style meetings for their ~30-40 members a few times per year. Because of the strength of the CIFAR program members (for example, the LMB group is listed here<https://www.cifar.ca/research/learning-in-machine-and-brains/>), these meetings are an extremely valuable opportunity. If you have any colleagues who might be interested in this opportunity, please forward this information on to them. Cheers, __ Joel Zylberberg, Ph.D. Assistant Professor Department of Physiology and Biophysics University of Colorado School of Medicine www.jzlab.org<http://www.jzlab.org> CIFAR Azrieli Global Scholar, Learning in Machines and Brains program ~the neuroscience is theoretical, but the fun is real

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Call for Workshops - Bernstein Conference 2017, extended deadline: 15.03.2017
by Zrinka Gattin March 1, 2017

March 1, 2017

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** *Important Dates:* _Workshops:_ September 12 - 13, 2017 _Main Bernstein Conference:_ September 13 - 15, 2017 _Deadline for proposal submission:_ *March 15, 2017* _Notification of workshop acceptance:_ April 10, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. _Workshop time frame:_ September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops *Deadline for submission of Workshop proposals:**March 15, 2017* Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(a)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail:zrinka@nld.ds.mpg.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Open position - High resolution fMRI of bistable perception
by Tomas Knapen March 1, 2017

March 1, 2017

Open position - High resolution fMRI of bistable perception Our lab at the *Vrije Universiteit Amsterdam* <http://vu.nl/> has an opening to be filled by either a PhD student (4 years) or junior PostDoc (2-3 years), financed by an NWO-CAS grant <http://www.nwo.nl/en/news-and-events/news/2016/nihc/1-5-million-for-sino-du…> . *Outline of research project* In this project, we will study the interplay between top-down and bottom-up processing in perceptual bistability using functional imaging of cortical laminae at 7T. This project will answer cognitive neuroscience questions from a systems neuroscience perspective. The project involves mathematical modelling of behaviour, detailed psychophysics and eye tracking, as well as the development of state-of-the-art analysis techniques for submillimeter resolution functional imaging. Therefore, the successful applicant will have a background in computation, be a fluent programmer and preferably have experience with high-resolution functional imaging. The project is a collaboration with the Zhang lab at the Chinese Academy of Science, Beijing and the He lab at the University of Minnesota, and will involve regular travel between these labs. *Information & Application* Feel free to contact Tomas Knapen <tknapen(a)gmail.com> for informal inquiries. More information on bistable perception can be found in our soon-to-appear review of the topic on the Annual Reviews of Psychology website <http://www.annualreviews.org/doi/10.1146/annurev-psych-010417-085944>. The lab website can be found at tknapen.github.io, and we are part of the cognitive psychology group <http://vupsy.nl/> in the department of Behavioural and Movement Sciences at the VU. A formal application should contain a CV, two-page statement of interest and two names of persons that can provide letters of recommendation, and be sent to Barbara Goudriaan <http://127.0.0.1:4000/2017/03/01/barbara.goudriaan@vu.nl>, with reference number 00034515 in the subject line of the application email. We will entertain applications continuously from now. *Further particulars * The salary will be in accordance with university regulations for academic personnel. As an indication, this is a minimum of €2191 gross per month for a PhD position, and €2717 for a PostDoc position, depending on experience. The appointment will be initially for 1 year. After satisfactory evaluation of the initial appointment, it will be extended. You can find information about benefits of employment at www.workingatvu.nl <http://127.0.0.1:4000/2017/03/01/www.workingatvu.nl> Thanks, Tomas TK Signature *Tomas Knapen* Assistant Professor *@* Vrije Universiteit Amsterdam - Cognitive Psychology <http://www.vupsy.nl/> *Contact* tknapen(a)gmail.com || +31 6 34091812 *Web* Lab website <http://tknapen.net/tknapen/> || GitHub profile <https://github.com/tknapen>

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2x PostDocs in Gazeinformatics @ Imperial College London
by Faisal, Aldo A March 1, 2017

March 1, 2017

Dear All, we are looking to hire 2 PostDocs in Gazeinformatics at the interface of eye movement research, machine learning and computational neuroscience. Below is the ad, feel free to give me a shout for details, best wishes Aldo --- --- Dr Aldo Faisal Director Behaviour Analytics Lab Data Science Institute & Associate Prof in Neurotechnology Department of Bioengineering & Department of Computing Imperial College London London, SW7 2AZ www.FaisalLab.org http://www3.imperial.ac.uk/people/a.faisal The Brain & Behaviour Lab of Dr Aldo Faisal is seeking to hire two 2-year Postdoctoral Fellows in Gazeinformatics to work at the interface of eye movement research, machine learning/computational neuroscience and robotics. Fostering interdisciplinary research is core to the lab’s vision and profile sought. The focus area of the project is: 1. To study hierarchical representations for perception-action in a data-driven manner to develop methods for eye movement analysis and prediction of motor actions in complex real-world tasks. 2. To automatically decode action intentions from eye movements and act them out using dextrous robotic interfaces. The technology is meant to restore the ability of paralysed people to interact with the world again. You should have or expect shortly to hold a PhD (or equivalent) in Robot Vision, Robotics, Computer Vision, Neural Engineering, Computational Neuroscience, Computational Eye Movement research or very strong quantitative and programming (e.g. Physics). Research work will involve translational evaluation of the developed technologies with paralysed end-users and industrial partners. You will need to have a thorough understanding of quantitative methods and experience supervising projects, as well as strong analytical and programming skills (e.g. MATLAB, Python, ROS, and/or C/C++). You will have experience in the field/s of; 1. Human robotics or human robotic interaction; 2. Computer vision or robot vision; 3. Neural/ behavioral/ eye-tracking data analysis and modelling; 4. Experimental eye movement research, 5. Computational neuroscience modelling, 6. Data science analysis of human neural or behavioural data, 7. Biomedical engineering or neural engineering development. You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English. Research Associates will work in the Brain & Behaviour Lab Research group and the Data Science Institute’s Behaviour Analytics Lab (both directed by Dr Aldo Faisal) at the South Kensington Campus.

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On the existence of a purely abstract cognitive system in the brain that is based on single cells
by Asim Roy Feb. 28, 2017

Feb. 28, 2017

The following paper was published recently in Frontiers in Psychology, Cognition: “The theory of localist representation and of a purely abstract cognitive system: The evidence from cortical columns, category cells and multisensory neurons” http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00186/full On the extensive use of abstract multisensory neurons in the brain There is now substantial neurophysiological evidence for a purely abstract cognitive system in the brain that is based on single cells. The evidence primarily comes from abstract category cells and multisensory neurons. Multisensory neurons provide a remarkable insight to the brain. Ghazanfar & Schroeder (2006) claim that multisensory integration extend into early sensory processing areas of the brain and that neocortex is essentially multisensory. Saleem, Ayaz, Jeffery, Harris & Carandini, M. (2013) report finding nearly half of V1 neurons in mice to be multimodal integrating visual motion and locomotion during navigation. And Klemen & Chambers (2012) notes that there is now “broad consensus that most, if not all, higher, as well as lower level neural processes are in some form multisensory.” So abstractions are used extensively in the brain. And these abstraction are layered, sometimes integrating information from two modalities, sometimes three and so on. Much more evidence is discussed in the paper. On the absence of evidence for distributed representation It is also argued in the paper that there is no evidence for distributed representation in the brain, since, as per McClelland, the dense form (not the sparse form) is the only form that counts. And there is absolutely no evidence for the dense form (Panzeri et al. 2015). On the compatibility of grounded cognition and an abstract cognitive system It is also argued in the paper that such an abstract cognitive system is fully compatible with grounded and embodied cognition. And Barsalou’s (2008, p. 618) statement is very consistent with the claims made in this paper: “From the perspective of grounded cognition, it is unlikely that the brain contains amodal symbols; if it does, they work together with modal representations to create cognition.” One of Barsalou’s questions was (p. 631): “Can empirical evidence be found for the amodal symbols still believed by many to lie at the heart of cognition?” I think there is extensive evidence now that there indeed are amodal symbols in the brain and in the brains of many species. The discovery of this purely abstract cognitive system in the brain has the potential to resolve deep theoretical conflicts in cognitive science that’s almost four decades old. Asim Roy Professor, Information Systems Arizona State University www.lifeboat.com/ex/bios.asim.roy<http://www.lifeboat.com/ex/bios.asim.roy>

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 13-14, 2017
by Aurel A. Lazar Feb. 28, 2017

Feb. 28, 2017

fruitflybrain.org/workshops.html <https://t.co/mY9aARlYrB> Aurel http://www.bionet.ee.columbia.edu

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Immediate Postdoc and Asst. Prof. openings in the lab of Dr. Kevin Tracey at the Feinstein Institute for Medical Research
by Platt, Jo Ann Feb. 27, 2017

Feb. 27, 2017

Job description Postdoctoral and Assistant Professor opportunities are available immediately in the laboratory of Dr. Kevin J. Tracey at the Center for Biomedical Sciences at the Feinstein Institute for Medical Research, Manhasset, NY. We are seeking driven individuals to join a newly funded research program on investigating the role of ascending and descending neural pathways in the control of adaptive immune function. The research focus of the lab is in the field of Bioelectronic Medicine to develop nerve-stimulating technologies to regulate the molecular targets underlying disease. The fellow will interact with a wide range of researchers in a dynamic and productive environment, bridging basic science with clinical research. Interested applicants should send a brief description of research interests and curriculum vitae, including contact information for three references to Jo Jo Platt, Center for Bioelectronic Medicine japlatt(a)northwell.edu Desired skills and experience The successful candidate will hold a Ph.D. or M.D./Ph.D. with electrophysiology skills including electrical and optogenetic modulation of peripheral neural circuitry, neuroanatomical mapping, and single cell neuronal recording. The candidate is expected to have strong skills in major biochemistry and cell biology techniques, animal handling, primary cultures and quantitative data analysis. A strong immunology background, experience with animal models including cre-lox models, animal surgery, molecular biology, and microscopy would be an asset. The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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Reminder: CNS*2017 Abstract Deadline March 5
by Sharon Crook Feb. 27, 2017

Feb. 27, 2017

CNS*2017 Call for Abstracts Organization for Computational Neurosciences (OCNS) 26th Annual Meeting Antwerp, Belgium July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece Karl Friston, University College London, UK Sue Denham, University of Plymouth, UK A preliminary program for the workshops is available at: http://www.cnsorg.org/cns-2017-workshops Registration and abstract submission are open. Abstract submission deadline: March 5th, 2017 Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit: http://www.cnsorg.org/meetings

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PhD position in multimodal neuroimaging in Munich
by Igor Yakushev Feb. 25, 2017

Feb. 25, 2017

A PhD position is available at the Department of Nuclear Medicine (Head of Neuroimaging: Dr. Igor Yakushev), Technical University of Munich (TUM), Germany. The project will investigate neuronal substrates of training-induced cognitive improvement in middle-aged healthy subjects at the level of large-scale brain connectivity. The study involves acquisition and analysis of PET and DTI data. This three-year PhD position is funded by a grant of the German Research Foundation (DFG; pay scale TV-L 13 65%), with starting date May 2017. The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research in an interdisciplinary environment consisting of computational scientists, medical physicists, and clinicians, and access to state-of-the-art technology including a hybrid PET/MR scanner. The research group is integrated into the TUM Neuroimaging Center, which possesses a broad methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html The PhD student will be enrolled at a TUM graduate school that offers a structured curriculum of courses and seminars and supports participation in conferences and international exchange: http://www.gs.tum.de/en/home/ There is no tuition fee at the TUM. Prior experience with image analysis, programming and good statistical skills are required. Interested researchers should submit their applications including CV, two recommendation letters (or names and contact details of personal references), and a brief letter of motivation to Dr. Yakushev at igor.yakushev(a)tum.de Applications will be considered until the position has been filled.

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MBL Methods in Computational Neuroscience Course: Applications due March 7
by Mark Steven Goldman Feb. 25, 2017

Feb. 25, 2017

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 30 to August 24, 2017, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 7*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2017 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2017 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Foundation Uri Eden, Boston University Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Stefano Fusi, Columbia University Jack Gallant, UC Berkeley Surya Ganguli, Stanford University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Cristina Savin, NYU Terry Sejnowski, Salk Institute Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Xiao-Jing Wang, NYU

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Funded PhD studentship in computational cognitive neuroscience
by Srivas Chennu Feb. 24, 2017

Feb. 24, 2017

Applications are invited for a funded PhD studentship with Dr Srivas Chennu in the School of Computing at the University of Kent (UK) to be based in our Medway Campus, to begin in September 2017 or shortly thereafter. The PhD project will focus on the research topics below, spanning computational and translational neuroscience. ==Neurodynamics of consciousness== Understanding how neural dynamics generate human consciousness is a grand challenge for neuroscience. We develop computational frameworks that use neuroscientific data (EEG/MEG/fMRI) to study the brain network correlates of consciousness during normal wakefulness, and in altered states like sleep, sedation and meditation. We also apply this science to build computational tools for improving diagnostics and prognostics during emergence from coma, and in prolonged disorders of consciousness (including the so-called vegetative and minimally conscious states). These tools could eventually be deployed right at the patients' bedside to visualise, quantify and track how their brains are recovering after injury. ==Deep neural network models of cognition== The idea that the brain is a hierarchical neural network designed for predictive cognition is persuasive one. In this view, the cortex implements Bayesian inference to maintain a successively complex hierarchy of predictive models of sensory causation. Alongside, deep learning can enable us to build dense neural networks based on complex neuroimaging datasets. We combine EEG/MEG with these modelling frameworks to describe how recurrent neural information processing realises predictive cognition in the brain. The successful applicant will be able to capitalise on Dr. Chennu’s strong research links with empirical and clinical collaborators at the Universities of Cambridge, Birmingham, Liége (Belgium), and Western Ontario (Canada). They will be embedded within the Data Science research group within the school, which brings together academics with expertise in signal processing, brain-computer interfacing, machine learning and computational intelligence. More information is available is available at Dr Chennu’s academic website: www.cs.kent.ac.uk/people/staff/sc785/ ==The School of Computing, University of Kent== The School of Computing has a reputation for high-quality research, with over 40 current PhD students. Our research activity is wide ranging and takes place within focused Research Groups which provide a vibrant research community for all members, staff or student. The School of Computing was ranked highly in the recent government run Research Excellence Framework (REF) exercise. Our research intensity was ranked 12th out of 89, with superb impact – 100% of our research impact ranked world leading or internationally excellent. The University of Kent is a leading university with a commitment to excellence in teaching and research. As the UK's European university, it is committed to creating a global student and staff community that advances knowledge and stimulates intellectual creativity, and performs at the highest levels. Kent is ranked 21st in the Times Higher Education (THE) ‘Table of Tables’ 2017 and it has twice been awarded the highly prestigious Queen's Anniversary Prize for Higher and Further Education. The School is committed to the Athena Swan Scheme. This is a national scheme whereby Universities commit to advancing and promoting the careers of female scientists. Details can be seen on our website at http://www.kent.ac.uk/human-resources/athenaswan/. Kent’s Medway campus in Chatham Maritime is a 45-minute journey south-east from London’s St. Pancras International station. ==Funding== A scholarship award will cover the successful applicant’s fees at the home/EU rate (£4,121 in 2016/17) plus a maintenance bursary (£14,296 in 2016/17). The award will be for three years, subject to satisfactory progression through each year of study. They are awarded on a competitive basis and interview performance will be taken into account. Support for research students includes regular supervision meetings, a research training programme, computer equipment, a desk in an office and funds for conference travel. ==Applicant Qualifications== You should: Essential- Hold a good undergraduate degree (UK First or 2:1 or equivalent) in a numerate discipline (computing, engineering, physics, etc.). Students with a background in biology and psychology are also welcome to apply, as long as they have the requisite technical and quantitative skills. Be able to program independently in high-level scientific programming languages like MATLAB, Python and R. Desirable- Have prior experience or evidenced interest in computational neuroscience. Able to work with complex time-series data, including EEG. ==How to Apply== Please get in touch with Dr Chennu by email (sc785(a)kent.ac.uk) in the first instance, with a Curriculum Vitae and a brief outline of your research proposal. Applications need to be submitted by Monday 3 April 2017.

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Deadline approaching for Smart Start Application
by Smart Start Coordination Office Feb. 24, 2017

Feb. 24, 2017

Call for applications Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the second round in the winter term 2017/18. The Deadline for application is Tuesday, February 28, 2017. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de> Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart(a)fz-juelich.de<mailto:smartstart@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Software Engineer position to develop biological neural network modeling tool (SUNY Downstate, Brooklyn, NY)
by Salvador Dura Feb. 23, 2017

Feb. 23, 2017

We are looking for a software engineer to work on NetPyNE, a python package to facilitate the development, parallel simulation and analysis of biological neuronal networks using the NEURON simulator. For more information on the tool see: - Website with documentation: http://neurosimlab.org/netpyne/ - Github: https://github.com/Neurosim-lab/netpyne - Conference posters: CNS16 and SFN16 Responsabilities: - Design and implementation of new features, maintenance, and debugging of NetPyNE package (including new GUI). - Providing technical support to lab members developing models using the NEURON simulator and NetPyNE package. - Writing documentation, attending meetings/conferences, and giving presentations on software package. Requirements: - MSc in Engineering, Computer Science or related discipline. - Minimum 5 years experience in full-stack (front-end and back-end) software development (scientific software a plus). - Expertise with Python; fluency with Linux, Git/Github. - GUI design/implementation experience is a plus. - Previous experience in research/academic environment and/or neuroscience background are a plus Conditions: - Postdoc-level salary (commensurate with experience) - Initial contract of 1 year with possibility of extension (depending on performance and budget) - Become part of the Neurosim lab (http://neurosimlab.org) at the State University of New York (SUNY) Downstate Medical Center. - Academic environment with possibility of getting involved in several neuroscience research projects and interacting with 10-15 researchers (graduate students, postdocs and professor). - Work in New York, a vibrant city with a wide offer of activities (working remotely also a possibility) To apply please send CV and cover letter to salvadordura(a)gmail.com and billl(a)neurosim.downstate.edu

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2 postdoctoral positions in Quantitative Biological Modeling
by Hermann Riecke Feb. 23, 2017

Feb. 23, 2017

Hi Could you please post the ad below on teh comp-neuro list? thank you Hermann Riecke ——————————— Overview: The Department of Engineering Sciences and Applied Mathematics solicits applications for postdoctoral fellowships in quantitative biological modeling. Two positions are available starting September 1, 2017 and a third position starting September 1, 2018. These positions are part of a National Science Foundation Research Training Grant (NSF-RTG). Duties: Postdoctoral fellows will conduct research on the quantitative modeling of biological systems and will teach three quarter courses per year in the department. Each position will typically be for three years. Postdoctoral fellows will additionally participate in RTG-related training and career development activities. Environment: Postdoctoral fellows will be part of an interdisciplinary environment focusing on current problems in experimental and computational biology. Fellows will gain experience from training in mathematical modeling, numerical methods, and modern data analysis/statistical tools relevant to biological problems. Research internships outside of Northwestern will broaden fellows' perspectives. Each fellow's research will be mentored by faculty from both applied mathematics and a biological discipline. Ongoing collaborations exist with faculty in Neurobiology, Molecular Biosciences, Environmental Engineering and Preventive Medicine, and additional areas of interest are welcome. An overall goal of the program is to broaden computational biological modeling in the department and at Northwestern. Requirements: Applicants must be U.S. citizens or permanent residents. Interested candidates should submit a curriculum vitae, three reference letters (one addressing teaching qualifications) and brief research and teaching statements online at the URL: https://openposition.mccormick.northwestern.edu/apply/index/NjE= If desired, one or two representative publications may also be submitted. Applications for the Fall 2017 position are currently being reviewed and will continue being considered until the position is filled. Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Inquiries about the position may be directed to: Hermann Riecke Engineering Sciences and Applied Mathematics Northwestern University 2145 Sheridan Road Evanston, IL 60208-3125 Phone: (847) 491-3345 Email: h-riecke(a)northwestern.edu http://www.mccormick.northwestern.edu/applied-math/

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Postdoc positions in Neuromorphic computing in Singapore
by Yansong Chua Feb. 23, 2017

Feb. 23, 2017

Multiple scientist and research engineer positions are available in Singapore, at the Institute for Infocomm Research (I2R), A*STAR, Singapore. This project is part of a large multidisciplinary grant in neuromorphic technologies involving multiple universities and research institutions in Singapore (NUS, NTU, IME, IHPC, I2R). The project is focused on building a new neuromorphic chip using RRAM that enables on-chip learning, together with a suite of learning algorithms that would then be deployed in applications in the advanced manufacturing domain. The primary scope of our research is to develop spike-based computing and learning algorithms for deep spiking neural networks on a neuromorphic chip. Specifically, we are interested in employing spikes in information processing and learning. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal coding. What coding and readout strategy underlie spike-based representation. How to encode external stimuli into spike based representations and how to readout information from spike activities. - Learning. How does neurons adapt their synaptic weights to perform a given task under cases of supervised, unsupervised and reinforcement signals. What are the underlying mechanisms for deep-structured network learning. - System integration and applications. How to integrate different computational principles into a system and apply it to solve different practical tasks. Preference will be given to candidates who can document knowledge in machine learning, neural networks, information processing, system design or hardware implementation with VLSI and FPGA. Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointments will be for 2 years, and extended for another 2 years, after review. Salaries are commensurate with internationally-competitive salaries and benefits. For comparison, in 2013, Singapore's per capita GDP is US$55,000 and US's per capita GDP is US$53,000. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg) or Dr. Qiang Yu (yuqiang(a)i2r.a-star.edu.sg) More information: - Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/ - Working in Singapore: http://www.contactsingapore.sg/professionals/why_ singapore/

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master in Brain and Cognition, with focus on Computational Neuroscience and Data Analysis, Barcelona
by Ruben Moreno Bote Feb. 23, 2017

Feb. 23, 2017

Dear Comp-neuro members, The Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona Spain (http://www.upf.edu/mbc/) opens the rolling application period. The core of the master's programme is composed of the research groups at UPF's Center for Brain and Cognition (http://cbc.upf.edu) In this email, we emphasize the possibility of participation of outstanding candidates with strong quantitative background, such as physics, mathematics or machine learning eager to learn about computational and cognitive neuroscience. Candidates with these backgrounds could perform research activity with the following experts in computational neuroscience: Gustavo Deco (http://cns.upf.edu/) Albert Compte (http://complab.fcrb.es/complab/pres) Rubén Moreno-Bote (https://portal.upf.edu/web/ruben-moreno-bote) Overall, the groups participating at the Master are directed by renowned scientists in areas such as computational neuroscience, cognitive neuroscience, psycholinguistics, vision, multisensory perception, human development and comparative cognition https://www.upf.edu/mbc/who_ are_we2.html . Students will be exposed to the ongoing research projects at the Center for Brain and Cognition and will be integrated in one of its main research lines, where they will conduct original research for their final project. Please visit the Master’s web page or contact mbc(a)upf.edu for further information. Scientific-related questions such as fit of quantitative backgrounds can be consulted to ruben.moreno(a)upf.edu Rubén Moreno-Bote -- Rubén Moreno Bote Serra Húnter Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella, Building 24, office 331 Ramon Trias Fargas, 24-27 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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REMINDER: Call for Workshops - Bernstein Conference 2017
by Zrinka Gattin Feb. 23, 2017

Feb. 23, 2017

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** Important Dates: Workshops: September 12 - 13, 2017 Main Bernstein Conference: September 13 - 15, 2017 Deadline for proposal submission: March 01, 2017 Notification of workshop acceptance: March 27, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Workshop time frame: September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops Deadline for submission of Workshop proposals: March 01, 2017 Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(at)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail: zrinka(a)nld.ds.mpg.de

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PhD opening in the neural mechanisms of decision making
by Simon Kelly Feb. 22, 2017

Feb. 22, 2017

Applications are invited for a fully funded 4-year PhD position in the Cognitive Neural Systems lab (https://cogneusys.com/) led by Simon Kelly, to study the neural mechanisms of decision making. This position is part of a project funded by Science Foundation Ireland, which involves a combination of psychophysics, computational modelling, non-invasive electrophysiology of human brain and muscle, and analyses of existing single-cell neurophysiological data. The funded research is specifically focused on the impact of value (i.e., how much decision outcomes are worth) on the dynamics of decision formation in sensory, decision, and motor areas of the brain. However, the overall PhD can be significantly broader in scope (including e.g. biomedical/translational applications), depending on the student’s interests within the broader research themes of the lab. The Cognitive Neural Systems lab is situated within the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and has strong collaborative links to basic cognitive and clinical neuroscience research groups both locally (e.g. Trinity College Institute of Neuroscience) and internationally (e.g. City College and Columbia University in New York). The successful applicant will have ample opportunities for wider collaborations and the learning of a broad range of experimental, conceptual, analytic and computational skills. Applicants should have a BSc/B.E. or Masters degree in neuroscience, psychology, Electrical/biomedical engineering, computer science, or other related discipline and a demonstrable interest in cognitive neuroscience. The ideal candidate will be highly motivated and have excellent communication skills. Any prior experience in programming, psychophysics, EEG and/or modelling, especially in the area of cognitive neuroscience, is a definite advantage. To apply, submit a CV, short cover letter and contact information for at least two referees to Dr Simon Kelly (simon.kelly(a)ucd.edu) Candidates should explain in their cover letter how their own research interests fit specifically with those of the Kelly lab. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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We have a wide range of posts open in Fudan Univ.
by jianfeng feng Feb. 22, 2017

Feb. 22, 2017

http://www.nature.com/naturejobs/science/jobs/606495-senior-research-fellow… -- -------------------------------------- J. Feng, Prof. of Biology, Computer Science, Medicine and Mathematics Warwick University, UK http://www.dcs.warwick.ac.uk/~feng Fudan University, PR China http://ccsb.fudan.edu.cn/

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Postdoc and PhD student for project on deep learning in artificial, human, and rodent brains
by Hans Op de Beeck Feb. 22, 2017

Feb. 22, 2017

Postdoc and PhD student for project on deep learning in artificial, human, and rodent brains For a project combining the domains of human functional neuroimaging, computational modelling, and rodent physiology, we are looking for two new collaborators. Hirings can be at the level of postdoc as well as PhD student. First, we look for a scientist to implement and further develop deep neural network modelling. The aim is to compare the representations in these artificial networks over the course of training with neural responses in human and rodent cortex. Here we build upon earlier work such as Kubilius et al. (2016, PLOS Comput. Biology). Candidates should have a background in computational neuroscience, computer vision, artificial intelligence, or related fields. Second, we look for a scientist to study the cortical basis of visual learning in awake rodents through extracellular recordings using electrode arrays. Relevant earlier studies from our lab in this domain are Vinken et al. (2014, J. Neurosci.) and Vinken et al. (2016, Cerebral Cortex). Candidates should have a background in Neurobiology, Neuroscience, Psychology, Biomedical sciences, Bioengineering or a related field. Independent of career stage (so also for incoming PhD students), only candidates will be considered that have a quantitative and computational background including expertise with Matlab, good social skills and team spirit, and good communication skills in English (oral and written). For PhD students, we expect a competitive study record putting the student among the top students in an internationally competitive program. For postdocs, we expect a relevant and competitive publication record (e.g., in computational and systems neuroscience) including first-author peer-reviewed publications. The research will be implemented in the research group of Hans Op de Beeck in the Laboratory of Biological Psychology at the University of Leuven (KU Leuven, Belgium). The research group focuses upon multidisciplinary work, including human neuroscience research with functional magnetic resonance imaging, rodent behaviour & electrophysiology, and computational modelling. Many members of the group come from countries outside Belgium (e.g., Canada, Brasil, South-Korea, Italy, Belarus), and the professional language is English. The city of Leuven is an old, medieval city which is very lively thanks to a large population of students and researchers. Leuven is at 25 km from Brussels, with frequent direct train connections, also to the international airport of Brussels (20 minutes by train). The university is one of the oldest in the Low Countries (founded in 1425) and is ranked in the top 50 of universities worldwide (THE ranking). It is home to a large community of systems/cognitive/visual/computational neuroscientists. Applications should be submitted before March 8th 2017. Funding is available for up to 3 (postdoc) or 4 (PhD student) years. The starting date is flexible between May and October 2017. Informal queries for further information can be sent to hans.opdebeeck(a)kuleuven.be<mailto:hans.opdebeeck@kuleuven.be> . For the formal application, applicants should go to https://icts.kuleuven.be/apps/jobsite/vacatures/54073261. The site will ask for a motivation letter (please include contact information for 2 references) and a CV (please include a list of publications if applicable). --- Prof. Dr. Hans P. Op de Beeck Professor in Brain & Cognition Program Director of KU Leuven Bachelor Psychology Laboratory of Biological Psychology University of Leuven (KU Leuven), Belgium Tiensestraat 102, 3000 Leuven, Belgium Email: hans.opdebeeck(a)kuleuven.be<mailto:hans.opdebeeck@kuleuven.be> Website: http://ppw.kuleuven.be/home/english/research/lbp/lbpMembers/00029058

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Connectomics. Advanced Course. Siena, Tuscany April 22-29, 2017
by Francesca Martini/NSAS Feb. 22, 2017

Feb. 22, 2017

Dear All, The last few seats remain for: Advanced Course Connectomics Neuroscience School of Advanced Studies Certosa di Pontignano, Siena, Tuscany April 22-29, 2017 <http://www.nsas.it/courses-workshops/advanced-courses/connectomics/> http://www.nsas.it/courses-workshops/advanced-courses/connectomics/ Coordinator: Sean Hill École Polytechnique Fédérale & The Blue Brain Project, Lausanne, Switzerland Faculty include: Julie Harris, Allen Institute for Brain Science, Seattle. USA Michael Milham, Child Mind Institute, New York, USA Fabrizio de Vico Fallani, Inria & Institut du Cerveau et de la Moelle, Paris, France Patric Hagmann, University of Lausanne, Switzerland Marcello Massimini, University of Milan, Italy Viktor Jirsa, Aix-Marseille University, France Sean Hill, École Polytechnique Fédérale & The Blue Brain Project, Lausanne, Switzerland This Advanced Course will focus on multi-scale aspects of the connectome the comprehensive wiring diagram of the brain and its impact on brain function, behavior and health. Ion channels, receptors, cells and synapses breathe dynamics into this wiring diagram and give rise to sensory responses, perceptions, decisions, memories and actions. When we fall into a deep dreamless sleep, our connectome doesnt change, nor does it change when we experience the vivid hallucinations of dreams. Yet it is the substrate of human experience disrupting the connectome gives rise to neurological deficits or disorders. Emphasis will be placed on the latest techniques of large-scale data acquisition, analysis, theory, modeling and simulation. The Advanced Course will cover 1) the cellular basis of connectivity including gene expression, morphology and electrophysiology, 2) large-scale data gathering and data analysis of whole brain connectivity across scales including electron microscopy, single neurons, meso-scale viral tracers, diffusion and functional whole brain imaging; 3) data integration of multimodal connectome data; 4) data-driven computational modeling and simulation at different scales of brain circuitry; 5) theoretical analyses of brain network topology and principles of connectivity; 6) the development of the connectome and its link to behavior and neurological disorders; 7) predicting whole brain dynamics from the connectome; 8) wakefulness, sleep and disorders of consciousness: the relationship between the connectome and the diversity of brain states and experiences. Course Format <http://www.nsas.it/courses-workshops/course-format/> http://www.nsas.it/courses-workshops/course-format/ Application Form <http://www.nsas.it/courses-workshops/application-form/> http://www.nsas.it/courses-workshops/application-form/ Kind regards, Francesca The Course Secretariat Neuroscience School of Advanced Studies Certosa di Pontignano Via di Pontignano 5, Castelnuovo Berardenga, Siena. Italy Tel. +39.0577.146.0003

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Postdoctoral Positions in Machine Learning and Neuromodulation at Emory University and Georgia Tech
by Babak Mahmoudi Feb. 22, 2017

Feb. 22, 2017

Postdoctoral positions are available at Emory University School of Medicine and Georgia Institute of Technology on developing machine learning algorithms and data analytics tools for the optimization of neuromodulation therapies for epilepsy and memory. The successful candidate will collaborate with scientists and clinicians in the Departments of Biomedical Informatics, Neurosurgery, Neurology and Biomedical Engineering at Emory University and Georgia Tech, Grenoble University at France, and medical device industry partners. The ideal candidate will have a PhD in Computer Science, Biomedical Engineering, Computational Neuroscience or related fields with a strong background in machine learning, optimization theory, multivariate analysis and signal processing. Programming skill sets in Matlab and other languages (e.g., C++ and python) would be key to a successful candidate. Inquiries should be addressed to Babak Mahmoudi (b.mahmoudi(a)emory.edu) The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Please send applications including a CV, statement of research interests, and the names and full contact details of three references to b.mahmoudi(a)emory.edu

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Post-doc proposal: Charting the human brain with fMRI
by Ana Luísa Pinho Feb. 22, 2017

Feb. 22, 2017

Please find enclosed a post-doc proposal for an original "exhaustive cognitive mapping" performed in the framework of the Human Brain Project. *Duration & salary*: 12 months renewable up to 3 years, about 2100 enet monthly *Research teams*: Parietal (INRIA Saclay) and Unicog (INSERM), located at Neurospin, Saclay,France. *Responsible:* Bertrand Thirion. Contact: bertrand.thirion(a)inria.fr *Application*: Interested candidate should send CV and motivation letter. The post-doc will be in charge of setting a set of protocols up and running to pass them on the existing pool of 12 subjects of the Individual Brain Charting project. These protocols will be provided by the community (potentially from in-house developments) are meant to cover a large array of sensory, motor and cognitive processes. The post-doc will take part to the set of acquisitions performed on Neurospin 3T scanner at high resolution (1.5mm) and analyze the data by using a pipeline provided by the lab. Detailed reports will be provided to assess the quality of the data, motivate the participants and document the content of the database. These reports will provide extensive information on the functional organization of the brain in each individual, which will furthermore be confronted to other imaging modalities, e.g. anatomical and functional connectivity. Complex alignment procedures will then be carried out to obtain a population-level mapping that will lead to the first data-based cognitive atlas of the human brain. The data and atlas and analysis material will be released publicly. See https://team.inria.fr/parietal/files/2011/07/post-doc_ibc-1.pdf for details.

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Postdoctoral position in computational neuroscience in New York
by Ruben Coen-Cagli Feb. 21, 2017

Feb. 21, 2017

Postdoctoral position in the Coen-Cagli Laboratory Albert Einstein College of Medicine, New York, NY I will be at Cosyne and available to meet with candidates there. I am looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in my lab at the Department of Systems and Computational Biology and Department of Neuroscience, Albert Einstein College of Medicine (AECOM) in New York City. The lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images; models of selectivity and variability in large cortical populations; the perceptual consequences of neuronal variability; and uncertainty in visual and auditory perception. We combine theories of probabilistic neural coding, tools from computer vision and machine learning, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics. Close interaction and collaboration with other members of the department is anticipated. https://sites.google.com/site/rubencoencagli/ Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research. Prior experience should include areas such as computational neuroscience, machine learning, computer vision, or statistics. Experience with psychophysics experiments is a plus. Applicants should have a keen interest in interdisciplinary approaches to biological and neural systems. AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the AECOM, including benefits and housing for postdocs, can be found at: https://www.einstein.yu.edu/research/belfer-institute/ The position starts in summer 2017, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine, Inc. is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/

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NeuroBridges 2017 (Second Call)
by ahmed el hady Feb. 20, 2017

Feb. 20, 2017

*NeuroBridges 2017 Summer school , Cluny, France* *(** September 3 - September 14, 2017 )* *NeuroBridges* is an initiative that was founded to bring Mediterrenean and Middle Eastern neuroscientists in an event to discuss science and promote mutual understanding. The two first events of the series took place in Goettingen, Germany in July 2014 (http://elsc.huji.ac.il/ content/neurobridges) and in Paris, France, in September 2015 ( http://elsc.huji.ac.il/content/second-neurobridges-meeting) Each of these three days events brought together twenty young speakers, Palestinians, Egyptians, Jordanians, Syrians and Israelis, as well as several speakers from the hosting countries. Nobel Laureate Erwin Neher opened NeuroBridges in 2014. Stanislas Dehaene, professeur au College De France and member of the French Academy of Sciences gave the opening lecture in NeuroBridges 2015. *NeuroBridges 2017* (http://decision-making-lab.com/NeuroBridges/ neurobridges2017.html) will be a ten days summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions of contemporary neuroscience. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge (i.e. linear algebra, calculus, in particular ordinary differential equation). Through the online application system (can be accessed through: http://decision-making-lab.com/NeuroBridges/neurobridges2017.html ) , you will be asked to provide personal details, academic background, the names of two referees , a motivation letter that should include a paragraph about your quantitative skills and a CV. The school will take place between September 3 and September 14, 2017 in Le Centre de Conférences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. The application deadline is March 31st 2017. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home>(Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home> (Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel>(CNRS, Paris, France). *2017 Confirmed Faculty (check the website regularly for updated faculty list):* Carl van Vreeswijk (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/carl-van-vreeswijk/> Gianluigi Mongillo (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/gianluigi-mongillo/> Shaul Druckmann (Janelia) <https://www.janelia.org/people/shaul-druckmann> Yoram Burak (Hebrew University) <http://elsc.huji.ac.il/burak/home> Omri Barak (Technion) <http://neuroscience.technion.ac.il/researcher/19> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Farzan Nadim (NJIT) <https://biology.njit.edu/people/nadim.php> Valerie Ego-Stengel (CNRS) <https://www.unic.cnrs-gif.fr/teams/Research%20group%20of%20Daniel%20Shulz> If you have any questions, please do not hesitate to email Ahmed El Hady (email: ahady(a)princeton.edu )

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PhD post in Computational Neuroscience
by McDaid, Liam Feb. 20, 2017

Feb. 20, 2017

Dear all, A PhD position in Computational Neuroscience is available at the Ulster University where the closing date for applications is Friday 24th February 2017. The position is fully funded with a start date of October 2017. Project title: A Computational Model of Regulating Neuronal Excitability by GABA Neurons The successful candidate will be based at Ulster working within the Intelligent Systems Research Centre (ISRC) and the position will involve close collaboration with colleague at University College London and the University of Manchester. The project will build on recent findings where it was shown that the GAT3 transporter facilitates the uptake of extracellular GABA and this is accompanied by a large increase in intracellular Na+ concentration, which can reverse the Na+/Ca2+ exchanger causing an intercellular increase in Ca2+. This may have an important role in regulating blood flow and also can result in the release of gliotransmitters, which is believed to modulate synaptic strength and transmission. Moreover, it is now believed that GAT3 induces a rise in extracellular adenosine that acts at presynaptic adenosine receptors and this is likely to cause a decrease in secondary messengers within cells. This is a completely novel mechanism of glia-neuron communication and capturing this interaction will be the major focus of this PhD. This exciting project will require the graduate to collaborate with experimental neuroscientists in the development of computational models of the above GABA mediated interactions and therefore at the end of the PhD study period he/she will expect to have gained significant expertise in computational modelling and neuroscience. We would also like to encourage international applicants. For more information on how to apply go to: https://www.ulster.ac.uk/faculties/computing-and-engineering/schools/resear… ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Postdoctoral position modeling gamma synchrony in Carmen Canavier's lab
by Canavier, Carmen C. Jan. 25, 2017

Jan. 25, 2017

Description A Senior Postdoctoral Researcher position is available in the area of Computational Neuroscience in the Department of Cell Biology and Anatomy, LSU Health New Orleans in the lab of Dr. Carmen Canavier. The main project will take an existing model of interneuronal network gamma (ING) and embed it within a network of hippocampal pyramidal neurons in order to build a model of pyramidal-interneuronal gamma (PING). The project will include both theoretical and empirical analyses of the synchronization properties of these networks, and in particular the contribution of intrinsic neuronal properties as compared to synaptic properties. These analyses require knowledge of linear and nonlinear systems theory, probability theory and signal processing. The project will require programming in python and the simulation package NEURON to run parallelized simulations on a Linux cluster. This position will include administering the lab’s computational cluster and mentoring both graduate and undergraduate students. Qualifications * Ph.D. in Engineering, Mathematics, Neuroscience, Physics, Computer Science or a related field of study * At least three (3) years of experience in computational neuroscience Preferred Qualifications * Writing code, running the simulation package NEURON, using single neuron models * Signal processing experience and familiarity with nonlinear dynamics Applicant Instructions Qualified applicants should submit curriculum vitae and three letters of reference using the following link https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…

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Symposia on Memory, March 6-10 in Barcelona
by Alex Roxin Jan. 25, 2017

Jan. 25, 2017

Dear all, This is a reminder that there will be a week-long series of Symposia on Memory at the Centre de Recerca Matemàtica this coming March 6-10. We will focus on a different topic each day, e.g. molecular and synaptic basis of memory, circuit mechanisms, cortex and hippocampus, and so on. There will be both experimental and theoretical talks; please look at the schedule if you are curious. You can view the schedule and register here http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_Symposia.aspx There is a special, reduced fee, single day registration if you cannot attend the full meeting. Note that the final day of the program will take place at the Institut d'Estudis Catalans, a historic building in the heart of Barcelona, right next door to where Santiago Ramón y Cajal taught medicine! You can still submit abstracts for a poster or a contributed talk of which there will be a limited number. The deadline for submission is the -31st of January-. I hope to see you in Barcelona. best regards, Alex

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Call for abstracts, symposia and registration for CNS 2017 in Antwerp, Belgium
by Daniele Marinazzo Jan. 24, 2017

Jan. 24, 2017

Dear all it's our pleasure to inform you that the site for the 26th Annual Computational Neuroscience Meeting is now up and running for submissions of papers and symposia proposals, and for registration. Please visit http://www.cnsorg.org/cns-2017 for all the info on the conference. We also have a twitter account https://twitter.com/CNS2017Antwerp Looking forward to seeing you in beautiful Antwerp from July 15th to 20th, for what will be a great meeting! On behalf of all the organizers Daniele -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ https://twitter.com/dan_marinazzo http://helpdesk.ugent.be/e-maildisclaimer.php

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Sense 2 Synapse 2017 Conference, Saturday April 8th, The Rockefeller University, New York City, Registration Open
by Christoph Kirst Jan. 24, 2017

Jan. 24, 2017

Dear Neuroscience Community, we like to invite you to join us for this year's *Sense 2 Synapse *which will be held on Saturday, *April 8th, 2017* in the Carson Family Auditorium at *The Rockefeller University, New York City *! The conference is an annual event for scientists working on the biology of sensory transduction, subsequent neural processing and perception. With *Larry Abbott *(Columbia University), *Nicole Rust* (University of Pennsylvania),****Sarah Woolley**(Columbia University) and*Gaby Maimon* (The Rockefeller University) we have a great list of key-note speakers, which will be complemented by talks selected from abstract submissions and a poster session. More information found on our website: *http://sense2synapse.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__sense2synapse.com_&d=Dw…> * and you can register here: *http://www.sense2synapse.com/registrationForm <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sense2synapse.com_r…>* Join us for a great day of science, discussions and nice food ! The organizing team Christoph Kirst Florian Berger Jeremie Barral Gonzalo Otazu Nicolas Renier -- Christoph Kirst Fellow for Physics and Biology Center for Theoretical Studies and Kavli Physics Fellow Kavli Neural Systems Institute The Rockefeller University 1230 York Avenue, New York, NY 10065 USA +1 212 327 7561 :: ckirst(a)rockefeller.edu

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LM2017 - Second Call for Papers, Satellite Events and Sponsors (7 weeks until submission deadline)
by INFO CSNETWORK, Bústia Compartida Jan. 22, 2017

Jan. 22, 2017

**Apologies for crossposting** 2nd Call for Papers, Satellite Events and Sponsors Living Machines VI: The 6th International Conference on Biomimetic and Biohybrid Systems 25 – 28 July 2017 http://livingmachinesconference.eu/ <http://livingmachinesconference.eu/2017> Living Machines Conference | Home livingmachinesconference.eu Stanford will host Living Machines 2017! The 6th International Conference on Biomimetics and Biohybrid Systems will be hosted at Stanford University, California, US. To be hosted at Stanford University, Stanford, CA, USA Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline: March 10th, 2017 ______________________________________________________________ ABOUT LIVING MACHINES 2017 https://www.youtube.com/watch?v=WqPOCDh1FNw YouTube www.youtube.com and share it all with friends, family, and the world on YouTube. The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Active biomimetic materials and structures that self-organize and self-repair. • Nature-inspired designs and manufacturing processes. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 26th to 28th July 2017, hosted at Stanford University, California, USA. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of Satellite Events hosted at Stanford University. SUBMITTING TO LIVING MACHINES 2017 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the Springer-Verlag Lecture Notes in Artificial Intelligence. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal Connection Science. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day tutorials, symposia or workshops on related themes to be held on the 25th July at Stanford University. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 10th, 2017 Paper submission deadline April 28th, 2017 Notification of acceptance May 15th, 2017 Camera ready copy July 25th - 28th 2017 Conference SPONSORSHIP Organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive options to potential sponsors: http://livingmachinesconference.eu/about/ VENUE Living Machines 2017 will be hosted at Stanford University a world leading research University that this year celebrates its 125th anniversary. Stanford is located in California's Bay Area, one of the most intellectually dynamic and culturally diverse areas of the US. Organising Committee: Mark Cutkosky, Stanford University (Local Organizing Chair) Paul Verschure, Universitat Pompeu Fabra (Co-Chair) Tony Prescott, University of Sheffield (Co-chair) Michael Mangan, University of Lincoln (Programme Chair) Marc Desmulliez, Heriott Watt University, Scotland (Steering Committee) Anna Mura, Universitat Pompeu Fabra (Web and Communications) Nathan Lepora, University of Bristol (Communications)

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New JETCAS Special Issue: Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms
by Arindam Basu Jan. 21, 2017

Jan. 21, 2017

Dear all ** Apologies for cross-posting Would like to draw your attention to a new Special issue in JETCAS on "Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms" that I am co-editing with colleagues. Manuscript submission deadline is on April 30, 2017. Look forward to receiving your contributions. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS CALL for PAPERS Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms Guest Editors Full name Email Affiliation Arindam Basu* arindam.basu(a)ntu.edu.sg Nanyang Technological University Tanay Karnik tanay.karnik(a)intel.com Intel Hai Li hai.li(a)duke.edu Duke University Elisabetta Chicca chicca(a)cit-ec.uni-bielefeld.de Bielefeld University Meng-Fan Chang mfchang(a)mx.nthu.edu.tw National Tsing Hua University Jae-sun Seo jaesun.seo(a)asu.edu Arizona State University (* Corresponding) Scope and Purpose The recent success of “Deep neural networks” (DNN) has renewed interest in bio-inspired machine learning algorithms. DNN refers to neural networks with multiple layers (typically two or more) where the neurons are interconnected using tunable weights. Though these architectures are not new, availability of lots of data, huge computing power and new training techniques (such as unsupervised initialization, use of rectified linear units as the neuronal nonlinearity, regularization using dropout or sparsity, etc.) to prevent the networks from over-fitting have led to its great success in recent times. DNN has been applied to a variety of fields such as object or face recognition in images, word recognition in speech or even natural language processing and the success stories of DNN keep on increasing every day. However, the common training method in deep learning, such as back propagation, tunes the weights of neural networks based on the gradient of the error function, which requires a known output value for every input. It would be difficult to use such supervised learning methods to train and adapt to real-time sensory input data that are mostly unlabeled. In addition, training and classification phases of deep neural networks are typically separated, such that training occurs in the cloud or high-end graphics processing units, while their weights or synapses are fixed during deployment for classification. However, this makes it difficult for the neural network to continuously adapt to input or environment changes in real-world applications. By adopting unsupervised and semi-supervised learning rules found in biological nervous systems, we anticipate to enable adaptive neuromorphic systems for many real-time applications with a large amount of unlabeled data, similar to how humans analyze and associate sensory input data. Energy-efficient hardware implementation of these adaptive neuromorphic systems is particularly challenging due to intensive computation, memory, and communication that are necessary for online, real-time learning and classification. Cross-layer innovations on algorithms, architectures, circuits, and devices are required to enable adaptive intelligence especially on embedded systems with severe power and area constraints. Topics of Interest This special issue invites submissions relating to all aspects of adaptive neuromorphic systems across algorithms, devices, circuits, and architectures. Possible scalability to human brain-scale computing level with energy-efficient online learning is desired. Submissions are welcome in the following topics or other related topics: · Spin mode adaptive neuromorphics with devices such as spin transfer nano-oscillator, domain wall memory, tunneling magnetic resistance, inverse spin hall effect, etc. · Memristive technology based learning synapse and neurons · Neuromorphic implementations of synaptic plasticity, short-term adaptation and homeostatic mechanisms · Self-learning synapses (STDP and variants) and self-adaptive neuromorphic systems · High fan-in scalable interconnect fabric technologies mimicking brain-scale networks · Circuits and systems for efficient interfacing with post-CMOS memory based learning synapses · Design methodology and design tools for adaptive neuromorphic systems with post-CMOS devices · Algorithm, device, circuit, and architecture co-design for energy-efficient adaptive neuromorphic hardware Important Dates 1. Manuscript submissions due: April 30, 2017 2. First decision: July 15, 2017 3. Revised manuscripts due: August 15, 2017 4. Final Decision: October 15, 2017 5. Final manuscripts due: November 15, 2017 Request for Information Arindam Basu (arindam.basu(a)ntu.edu.sg<mailto:arindam.basu@ntu.edu.sg>) https://mc.manuscriptcentral.com/jetcas Best regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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ICMNS 2017: *Reminder, Abstracts Due Jan 31, 2017*
by Zachary Kilpatrick Jan. 20, 2017

Jan. 20, 2017

This is a reminder that Abstract Submissions are due January 31, 2017 for the 3rd International Conference on Mathematical Neuroscience (ICMNS 2017), to be held at the Hotel Boulderado in Boulder, Colorado from May 30 to June 2, 2017. https://www.math.uh.edu/~zpkilpat/icmns2017/index.html <https://www.math.uh.edu/~zpkilpat/icmns2017/index.html> Meeting registration will open soon. Early Registration (Until March 31) will be $250 for students/postdocs, $350 for faculty, and $50 for tutorials. The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by a Program Committee and divided into three parallel talk sessions and a poster session. Details are given here: https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html <https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html> Student Travel Awards: This year, we will offer student travel awards, due to the generous support from NSF, SIAM, Burroughs Wellcome, and the University of Colorado. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair. Confirmed Speakers Danielle Bassett (University of Pennsylvania) Paul Bressloff (University of Utah) Nicolas Brunel (University of Chicago) Sophie Deneve (École Normale Supérieure) Brent Doiron (University of Pittsburgh) Marla Feller (University of California, Berkeley) Ila Fiete (University of Texas) Stefano Fusi (Columbia University) Peter Thomas (Case Western Reserve University) Taro Toyoizumi (Riken Brain Science Institute) Tutorial Speakers: Paul Bressloff, Sophie Deneve, Brent Doiron, Stefano Fusi, Joel Zylberberg (University of Colorado, School of Medicine) Program Committee https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html <https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html> We hope to see you in Boulder this May! All the best Zachary Kilpatrick (University of Colorado) Julijana Gjorgjieva (Max Planck Institute for Brain Research) Robert Rosenbaum (University of Notre Dame)

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Fruit Fly Brain Hackathon 2017
by Yiyin Zhou Jan. 19, 2017

Jan. 19, 2017

Fruit Fly Brain Hackathon 2017 FFBH 2017 <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017>March 12, 2017Columbia University, New York, NY 10027 We are pleased to announce the 2nd Fruit Fly Brain Hackathon (FFBO 2017). This hackathon will feature the Fruit Fly Brain Observatory (FFBO) and its key components NeuroNLP and NeuroGFX. The former allows for exploring fruit fly brain data using plain English queries, and the latter facilitates the modeling and execution of such brain circuits. Brief tutorials will be given on the usage of the FFBO as well as developing new tools/features in FFBO. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. The goal of the hackathon is to bring together these three groups of participants to create new ideas to develop, use and improve the FFBO platform towards developing executable model of the fruit fly brain. The Fruit Fly Brain Hackathon is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation on March 13-14, 2017. Participants of the hackathon are welcome to attend the workshop. Registration is free but all participants have to register <https://ffbo17.eventbrite.com/> (*https://ffbo17.eventbrite.com/ <https://ffbo17.eventbrite.com/>*). Organizers: Paul Richmond, Department of Computer Science, University of Sheffield Adam Tomkins, Department of Automatic Control and Systems Engineering, University of Sheffield Nikul Ukani, Department of Electrical Engineering, Columbia University Chung-Heng Yeh, Department of Electrical Engineering, Columbia University Yiyin Zhou, Department of Electrical Engineering, Columbia University More information can be found on the hackathon website: http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017 ------------------------------------------------------------ ------------------ Best Regards, Yiyin Zhou, on behalf of the organizers

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Postdoc in Medical Data Science
by Philipp Berens Jan. 19, 2017

Jan. 19, 2017

The lab of Philipp Berens (www.berenslab.org) at the Institute for Ophthalmic Research (www.eye-tuebingen.de) at the Eberhard-Karls-University Tübingen is offering a position as Postdoctoral Researcher in _Medical Data Science for Ophthalmology_ to be filled as soon as possible, with funding for up to 4 years. The successful candidate will perform research at the interface of data science and medicine with the goal to advance statistical methods for predicting disease onset or identifying risk factors by combining classical epidemiological approaches with recent developments in deep learning. The work will be done in close collaboration with the lab of Marius Ueffing and the ZEISS Vision Lab at the Institute for Ophthalmic Research and will contribute to a better understanding of ophthalmic diseases such as diabetic retinopathy or macular degeneration. The Berens lab conducts research in computational neuroscience, data science and biostatistics with a focus on developing tools to integrate various data sources. We have recently developed a framework based on deep neural networks for detecting diabetic retinopathy from fundus images modeling the decision uncertainty of the classifier (https://doi.org/10.1101/084210) Tübingen is home to a vibrant machine learning community with ample opportunity for interaction with researchers at both the University as well as the Max Planck Institute for Intelligent Systems. The Institute of Ophthalmic Research is part of the Center of Ophthalmology, covering various aspects of ophthalmic research from basic retinal neuroscience to the development of gene therapy and neuroprosthetics. We offer employment with a salary and social benefits based on the collective agreement for public service employees in the academic and science sector, TV-L. The Eberhard-Karls-University of Tübingen promotes gender equality and therefore particularly encourages female scientists to apply. Preferential status will be given to handicapped persons, if equally qualified. Requirements: • PhD in machine learning, statistics or related fields • Experience with medical data • Programming experience in Python and R • Strong publication record and scientific independence Interested applicants should contact Dr. Philipp Berens (philipp.berens(a)uni-tuebingen.de) providing a curriculum vitae, a one-page description of past research experience & future research interests, a one-page description of the motivation for applying to this position and names of at least two people that could provide letters of reference. Please compile your application in one single PDF-file and add [Data Science Postdoc] to the subject line. -- University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org NEW PHONE NUMBER: +49-7071-2988833

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3 years funded PhD in oscillatory behaviour in Alzheimer’s disease to establish biomarkers, Deadline 31st of January
by Eirini Mavritsaki Jan. 19, 2017

Jan. 19, 2017

Dear all, We are advertising a 3 year funded PhD project in "Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational modelling programme of PhD study" Successful applicants for our funded PhD studentships will receive a tax-free research stipend that tracks UK Research Council rates (currently £14,296) and a fee waiver to the value of Home / EU student PhD fees (currently £4,120). Closing date for applications Tuesday 31 January 2017 at 23:59. This is a transdisciplinary STEAM Project This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. We plan to simulate this data and the changes observed in this data by developing a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The synaptic currents that sSoTS contains will allow us to extract the ERP profile and simulate the above described experiment. In addition to that sSoTS model has already successfully simulated visual search outcomes for patients with Alzheimer’s (Mavritsaki and Humphreys, 2013). The project is separated into two phases: in phase 1, we plan to develop the computational model to simulate controls and mild cognitive impairment patients and in phase 2 we are planning to extend the model to allow us to predict the development of the disease based on identified biomarkers. The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. CAP Research is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/courses/social-sciences Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or related area. Ø The applicant should have experience of computational modelling, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Ø Experience in EEG analysis Contact: Eirini Mavritsaki, Ph.D., CPsychol Email: eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> Best regards, Eirini Mavritsaki ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Special Issue in Frontiers 'Neuropsychology through the lenses of computational modelling' http://fron.tiers.in/go/r2e3M4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Postdoctoral fellowship in computational neuroscience at Harvard
by Jan Drugowitsch Jan. 18, 2017

Jan. 18, 2017

Dear all, Jan Drugowitsch (Department of Neurobiology, Harvard) and Sam Gershman (Department of Psychology, Harvard) are seeking a postdoctoral fellow to work on a project combining computational modeling, psychophysics, and clinical studies. The project focuses on the neural basis of visual structure discovery, using motion perception as a model system. Our goal is to understand how neural circuits represent and reason about complex combinatorial structures, and how these neural circuits break down in autism. The postdoctoral fellow's main focus is the computational modeling component of the project. The Drugowitsch and Gershman labs are located in the Longwood medical area and Harvard’s Cambridge campus, respectively. Harvard, and the Boston area in general, has an excellent neuroscience community and programs in engineering, statistics, and related fields. Candidates must have a Ph.D. in a quantitative discipline and strong background in Bayesian modeling and computational neuroscience. Experience with visual psychophysics experiments is desirable but not essential. Applicants should send a CV and statement of research interests to Jan Drugowitsch (Jan_Drugowitsch(a)hms.harvard.edu) The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Jan Drugowitsch will be attending the the Computational and Systems Neuroscience meeting on February 23-28 to interview potential candidates. Best regards, Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School

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Excellence workshop ''Dynamical Network States, Criticality and Cortical Function'' (March 25-28, 2017 in Germany)
by David Rotermund Jan. 18, 2017

Jan. 18, 2017

We would like to invite you to participate in our excellence workshop “Dynamical Network States, Criticality and Cortical Function”. It will take place March 25-28, 2017 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen, Germany). Please feel free to forward the following information to anyone who you think may be interested in attending our workshop. Confirmed Speakers John Beggs, Matthias Bethge, Stefan Bornholdt, Mauro Copelli, Lucilla de Arcangelis, Thilo Gross, Michael Herrmann, Anna Levina, Klaus Linkenkaer-Hansen, Paolo Massobrio, Ruben Moreno-Bote, Eilif Benjamin Müller, Dietmar Plenz, Viola Priesemann, Silvia Scarpetta, Woodrow Shew, Oren Shriki, Thilo Womelsdorf. Workshop description ==================== Current information on the workshop can be found on the website http://www.h-w-k.de/index.php?id=2240 Soon we will update this web-page with the program . Cortical information processing relies heavily on the collective dynamics of neurons and networks distributed over many brain areas. A key concept for understanding this process is the idea that networks operate near a critical state, which offers several potential benefits for computation and information processing. However, there is still a large gap between research on criticality and understanding brain function: For example, * biological cortical networks are not homogeneous but highly structured, * they are not in a state of spontaneous activation but strongly driven by changing external stimuli, and * they process information with respect to a concrete behavioral goal. Moreover, critical states are just one side of the medal, since there are other concepts of how collective dynamics enables, shapes, and controls information processing; i.e. actively provide an operating point for cortical computation: To name just a few, there are * balance between excitation and inhibition, * temporal coordination and multiplexing, and * task-dependent computation and signal routing (selective attention). Understanding cortical function will only be possible by putting these conceptual ideas into a unifying framework and critically test them against experimental evidence. In this workshop we will bring together experts representing different approaches for understanding the collective dynamics of cortical networks and their implications for information processing. Hereby we will focus on work with a concrete link to cortical physiology, structure or dynamics observed in experiments. Our goals are to establish novel links between communities, concepts and methods and to identify key problems that have to be addressed by future theoretical and experimental work. Registration ============ The general costs of the workshop will be subsidized by the 'Hanse-Wissenschaftskolleg Institute for Advanced Study' (www.h-w-k.de) and by the BMBF (Bernstein Award Udo Ernst). However, in order to cover all costs, we ask for a registration fee in the amount of € 50,00 for PhD students and € 100,00 for postdocs/professors. Unfortunately, we cannot cover your costs for accommodation and travelling. Participation in the workshop will be limited to about 60 attendees (20 main speakers, 40 postdocs + PhD students). In case you are interested in participating, we would ask you to send your reply to Agnes Janssen ajanssen(a)neuro.uni-bremen.de. We can also arrange hotel reservations for you. Poster session ============== Besides the talks of the main speakers and plenty of time for discussions, there will be a poster session. You are invited to present a poster, in which case please send the title and abstract to Agnes Janssen. Again, we would greatly appreciate having you at our workshop. If you have any questions, please do not hesitate to contact us. Yours sincerely Udo Ernst and Nergis Tömen

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Post-Doc position at UCL Ear Institute: How the brain detects patterns in sound sequences
by Marcus Pearce Jan. 18, 2017

Jan. 18, 2017

Dear All (with apologies for cross-posting), *A postdoctoral research associate position*is available at the UCL Ear Institute’s ‘Auditory Cognitive Neuroscience Lab’ to work on a project entitled "How the brain detects patterns in sound sequences". The project will be supervised by Dr Maria Chait and conducted in collaboration with Dr. Marcus Pearce (Queen Mary University, London) and colleagues at the UCL Wellcome Trust centre for neuroimaging. The post is funded for 34 months in the first instance and involves a combination of behavioural, computational, eye tracking, and functional brain imaging (EEG, MEG, fMRI) experiments in humans. For more information about the post please see the lab website: *http://www.ucl.ac.uk/ear/research/chaitlab/vacancies* The Ear Institute is a leading interdisciplinary centre for hearing research in Europe, situated within one of the strongest neuroscience communities in the world at University College London *Key Requirements* The successful applicant will have a PhD in neuroscience or a neuroscience-related discipline and proven ability to conduct high-quality original research and prepare results for publication. Essential skills include excellent time-management and organizational ability; proficiency in computer programming and good interpersonal, oral and written communication skills. Previous experience with functional brain imaging, neural data analysis, psychophysical assessment, and/or auditory science or acoustics would be desirable. *Further Details* You should apply for this post (Ref #: 1618836) through UCL's online recruitment website, www.ucl.ac.uk/hr/jobs <http://www.ucl.ac.uk/hr/jobs>, where you can download a job description and person specifications. *Closing Date for applications is: *1 Feb 2017 *For an informal discussion please contact Dr. Maria Chait (m.chait(a)ucl.ac.uk).* Maria Chait PhD m.chait(a)ucl.ac.uk <mailto:m.chait@ucl.ac.uk> Reader in Auditory Cognitive Neuroscience Lab site: http://www.ucl.ac.uk/ear/research/chaitlab/ UCL Ear Institute 332 Gray's Inn Road London WC1X 8EE

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Faculty position in Computational Neuroscience - open rank
by Jorn Diedrichsen Jan. 18, 2017

Jan. 18, 2017

Western University (Ontario, Canada) is inviting applications from exceptional investigators at all career levels for a probationary (tenure-track) position at the rank of Assistant or Associate or a tenured faculty position at the rank of Associate or Professor in Computational Neuroscience. This appointment is in association with BrainsCAN (http://www.uwo.ca/brainscan) a $66M initiative funded by the Canada First Research Excellence Fund at Western University, and will be the first of two new positions in this area. For further particulars, please see: http://www.uwo.ca/bmi/media/CompNeuroScienceJan2017.pdf Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Funded PhD/postdoc position "Neural basis for motivation and perseverence in behavior"
by Gjorgjieva, Julijana Jan. 17, 2017

Jan. 17, 2017

A funded PhD position "Neural basis for motivation and perseverence in behavior” is available in the group of Julijana Gjorgjieva, Max Planck Institute for Brain Research (Frankfurt, Germany) and the Technical University of Munich (Munich, Germany). We will also consider strong postdoctoral applicants. Recommended application deadline: February 15, 2017. Applicants will be considered until the position is filled. The project is a collaboration with the experimental lab of Ilona Grunwald Kadow (Technical University of Munich) who studies the neural circuits underlying sensory processing and decision making in Drosophila. We are two young and highly-driven labs with many interesting ideas and synergistic interactions. Have you ever wondered how you came to like the taste of coffee? If you don’t like blue cheese, would you still consider eating some if you were very hungry? We want to understand how behavior changes in response to different sensory experiences and how they are imprinted as memories. The project aims to uncover circuit principles and behavioral readouts of motivation and persistence in the presence of diverse stimuli of different valences (appetitive of aversive) and as a function of internal state (e.g. hunger). To achieve this, we use a combination of theory, computational modeling and cutting-edge experiments. Applicants should have strong quantitative background (in mathematics, physics, engineering, computer science, or related fields), some experience in programming and data analysis, and a desire to develop cutting-edge experimental techniques. Previous background in behavioral analysis is a plus! The position offers the possibility to live in two of the most exciting cities in Germany and Europe. It will be based at the Max Planck Institute for Brain Research in Frankfurt, with frequent visits to the Technical University of Munich in Munich. The position also offers the possibility of behavioral analysis and in vivo multiphoton imaging experiments to be performed in the collaborating Grunwald Kadow lab: http://www.neuro.wzw.tum.de To apply, please email the following: 1. A curriculum vitae 2. A motivation letter (if a PhD student) or a description of research interests (if a postdoc). Please explain your scientific interests, what are you strengths when working on a problem, why us? 3. Contact details for 2-3 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code Please feel free to contact us with informal enquiries: gjorgjieva(a)brain.mpg.de http://www.cns.wzw.tum.de ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

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Post-doc position in Computational Neuroscience available at University of Sussex
by Thomas Nowotny Jan. 17, 2017

Jan. 17, 2017

Dear all, A post-doc position in Computational Neuroscience is available at the University of Sussex for 20 months to be filled as soon as possible. You will be joining the Odor Objects project (http://www.odor-objects.org/) in which we are investigating how animals interpret the complex odor plumes of chemicals in the air to identify sources of odors and distinguish them. Odor Objects is supported by the Human Frontiers Science Program (www.hfsp.org/<http://www.hfsp.org/>) and combines 4 international groups in Konstanz, Germany (physiology), Tempe, Arizona (behavior), Tokyo, Japan (robotics) and Brighton, UK (computational models). If you are joining us at Sussex your work will involve computational modelling of brain networks and data analysis of related data from the experimental partners. Models will then be used to design bio-mimetic controllers which will be tested by our partners in Japan. We are looking for a talented post-doc with an interest in computational work. Applicants from all science disciplines are welcome but essential skills are the ability to program, mathematical skills, e.g. to be able to apply dynamical systems analysis, and creative scientific thinking. The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton. As part of the project you will travel to the project partners worldwide. There are many opportunities for further interactions at Sussex beyond the project, e.g. with the Brains on Board project (BrainsOnBoard<http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1)>), and a wide variety of Neuroscience research in Sussex Neuroscience (www.sussex.ac.uk/sussexneuroscience/<http://www.sussex.ac.uk/sussexneuroscience/>). For more details and to apply, please go to http://www.sussex.ac.uk/aboutus/jobs/1626 . There is an initial closing date of 1 February 2017 but we will continue searching until the position is filled. Best regards, Thomas -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

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3-year fully-funded PhD in motor learning and control
by Joseph Galea (School of Psychology) (ID=*****11) Jan. 17, 2017

Jan. 17, 2017

Dear all, The Galea lab (josephgalea.weebly.com<http://josephgalea.weebly.com/>) in the School of Psychology at the University of Birmingham (UK) has a fully-funded (for UK/EU nationals) 3-year PhD position beginning October, 2017 funded by the ERC starting grant: MotMotLearn. Motor learning (the ability of the brain to learn and update how an action is executed) is a fundamental process which influences many aspects of our lives such as learning to walk during childhood; the day-to-day behavioural adjustments required as an adult or in healthy ageing; and the rehabilitation process following an illness or injury. Despite the impact to society, it has proved extremely difficult to develop interventions that significantly enhance human motor learning. Therefore, devising protocols which optimise motor learning is a state-of-the-art research question that promises to deliver scientific, clinical and societal impact. Seeking reward and avoiding punishment are powerful factors in motivating humans to alter behaviour during cognition-based learning (selecting which action to perform), with sensitivity to reward and punishment being biased by the availability of dopamine in the brain. Intriguingly, reward and punishment are also known to affect generic motor learning (deciding how an action is executed) tasks which involve multiple underlying mechanisms. However to establish their potential for optimizing motor learning, we must understand how explicit reward- and punishment-based motivational feedback impact motor learning systems with unique computational and anatomical features. Using a combination of behavioural analysis, computational modelling, genetics and brain imaging, this PhD project will contribute to the first systems-based account of how reward, punishment and dopamine influence motor learning. Specifically, the successful candidate will investigate how motor memories are consolidated across multiple days and the influence reward has on this process. It will further examine whether memory retention can be enhanced through reward-based implicit cues and if this process can be captured with EEG. Dr Galea is seeking an intelligent and enthusiastic student with experience either in motor control/learning, computational neuroscience and/or EEG. The ideal candidate will have experience with programming in matlab, collecting data (from participants) on behavioural tasks and some understanding of statistics. A masters and/or research assistant experience would be ideal but not compulsory. Psychology at the University of Birmingham www.birmingham.ac.uk/schools/psychology/research/index.aspx<http://www.birmingham.ac.uk/schools/psychology/research/index.aspx> If interested please email your CV to: j.galea(a)bham.ac.uk<mailto:j.galea@bham.ac.uk>

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Connectomics
by Francesca Martini/NSAS Jan. 16, 2017

Jan. 16, 2017

I would like to post in the mailing list about the following Workshop: Advanced Course: Connectomics. April 22-26, 2017. Neuroscience School of Advanced Studies Siena, Italy. Coordinator: Sean Hill (Switzerland) This Advanced Course will focus on multi-scale aspects of the connectome and will cover the cellular basis of connectivity; large-scale data gathering and data analysis of whole brain connectivity across scales; data integration of multimodal connectome data; data-driven computational modeling and simulation at different scales of brain circuitry; the development of the connectome and its link to behavior and neurological disorders; predicting whole brain dynamics from the connectome; the relationship between the connectome and the diversity of brain states and experiences. Further information: <http://www.nsas.it/courses-workshops/advanced-courses/connectomics/> http://www.nsas.it/courses-workshops/advanced-courses/connectomics/ Kind regards, Francesca The Course Secretariat Neuroscience School of Advanced Studies Certosa di Pontignano Via di Pontignano 5, Castelnuovo Berardenga, Siena. Italy Tel. +39.0577.146.0003

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2 postdoc positions open in Champalimaud, Lisbon
by Cristina Chavarrías Jan. 13, 2017

Jan. 13, 2017

*Call for Post-Doctoral Fellows in the Neuroplasticity & Neural Activity MRI-Lab * Two fully-funded post-doc positions are available immediately in the Neuroplasticity & Neural Activity MRI-Lab <http://neuro.fchampalimaud.org/en/research/investigators/research-groups/gr…> at the Champalimaud Neuroscience Programme (CNP), Champalimaud Centre for the Unknown in Lisbon, Portugal. We are looking for top-tier, highly-motivated Post-Doctoral Fellows who have a strong interest in understanding how underlying neural activity is related with fMRI signals. The focus is on performing high-end BOLD and nonBOLD fMRI with simultaneous calcium recordings and/or electrophysiology in rodents, using optogenetics for pretargeting specific populations of neurons. In particular, we aim to hire one person with extensive experience in* in vivo* calcium recordings / imaging and/or electrophysiology and one person with extensive experience in fMRI analyses. An excellent, well-documented track-record is imperative. To apply, please send the following items to noam.shemesh(a)neuro.fchampalimaud.org: 1. Cover Letter stating your interests 2. A full CV, including list of publications 3. Names and email addresses of at least 3 references. Successful applicants will receive full funding and a private/national health insurance. Call deadline: *Feb 28th 2017*. ------------------------------------------------------------ ----------------------------------- The Shemesh Lab in Champalimaud Neuroscience Programme (CNP) <http://neuro.fchampalimaud.org/en/research/investigators/research-groups/gr…> investigates neural activity, neuroplasticity, and how they elicit behavioral changes *in vivo*. These questions are interrogated in the context of normal processes (development, learning…), as well as in neuropsychiatric and neurodegeneration animal models of disease. Our approach involves a plethora of advanced methods, mainly revolving around state-of-the-art preclinical MRI/MRS, augmented by simultaneous ancillary techniques (optogenetics, calcium recordings, advanced behavioral testing). One of the main goals in the Lab is to develop nonBOLD fMRI methods, which will report on neural activity much more directly compared to conventional fMRI. This ERC-funded Lab benefits from a cutting-edge, ultrahigh field 16.4T scanner, as well as a 9.4T scanner equipped with two 4-element array cryoprobes (for mice and rats, respectively), another 1T scanner for basic scanning and testing in more biomedical settings, and lasers for optogenetics / calcium recordings; the Lab also has a fully equipped surgery room, space for performing extensive behavioural studies and access to one of Europe’s largest vivaria and ancillary platforms for histology, microscopy, transgenics and viruses, among others. CNP is situated within the Champalimaud Centre for the Unknown <http://www.fchampalimaud.org/en/>, a private, non-profit foundation residing on Lisbon’s waterfront, right where the River Tejo meets the Atlantic Ocean. CCU provides a stunning and productive working environment, harboring a Neuroscience department for basic research, and a clinical centre for treating cancer patients with pioneering methods. This unique blend of basic research and clinical practice under the same roof, which actively encourages collaborations and exchange of ideas, results in a highly interdisciplinary and stimulating atmosphere. Post-Doctoral salaries are very competitive vis-à-vis Lisbon costs of living, and post-docs further benefit from health insurance.

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Towards solving the Hard Problem of Consciousness
by Stephen Grossberg Jan. 12, 2017

Jan. 12, 2017

Dear Colleagues, I am writing to call your attention to my article about the Hard Problem of Consciousness. The results have enabled me to explain lots of psychological and neurobiological data about normal subjects and clinical patients for which I can find no other explanations, let alone explanations as part of an emerging unified theory. The article is published Open Access so anyone can read it. Grossberg, S. (2017). Towards solving the Hard Problem of Consciousness: The varieties of brain resonances and the conscious experiences that they support Neural Networks 87, 38–95 http://www.sciencedirect.com/science/article/pii/S0893608016301800 <http://www.sciencedirect.com/science/article/pii/S0893608016301800> Best, Steve Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg <http://en.wikipedia.org/wiki/Stephen_Grossberg> http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en <http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en>https://youtu.be/9n5AnvFur7I <https://youtu.be/9n5AnvFur7I> Wang Professor of Cognitive and Neural Systems Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve <http://cns.bu.edu/~steve> steve(a)bu.edu <mailto:steve@bu.edu>

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Fancy a change in 2017? Faculty posts in the UK...
by John Spencer (PSY) Jan. 12, 2017

Jan. 12, 2017

Greetings Colleagues, The School of Psychology at the University of East Anglia (https://www.uea.ac.uk/psychology) has 5 faculty positions available at the Lecturer (Assistant Prof) / Senior Lecturer/Reader (Associate Prof) / and Professor levels. This is part of a major expansion of the School; as such, we welcome interest from research teams who might offer concentrated strength in a single area. The School of Psychology is the newest school at UEA, and the first new School of Psychology to be formed in a research-intensive university in the UK for many years. These posts signal UEA's commitment to investment in world-class research, forming part of an ambitious expansion plan to create a world-leading faculty bridging disciplines to yield deep understanding of the processes that underlie and organise human behaviour. We are currently building a strength in the area of systems neuroscience, including a variety of imaging approaches as well as computational neuroscience. UEA has fantastic research facilities (fNIRS, fMRI, TMS, EEG, eye-tracking, virtual reality), a lovely campus, and it is situated in Norwich, UK - a wonderful place to live, with a castle, cathedrals, restaurants, and pubs. If you have any questions about the posts, do let me know. Details can be found at: https://www.uea.ac.uk/hr/vacancies/academic/-/asset_publisher/h0n2rDvu3ug8/… Cheers, John Spencer John P. Spencer, PhD Professor School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Email: j.spencer(a)uea.ac.uk<mailto:j.spencer@uea.ac.uk> School website: http://www.uea.ac.uk/psy Telephone 01603 593968 [cid:image001.png@01D09851.EF67E200] UK Top 15 (Times and Sunday Times Good University Guide 2017) UK Top 5 for Student Satisfaction (National Student Survey, 2005-2016) World Top 1% (Times Higher Education World Rankings 2016-17) World Top 100 for Research Excellence (Leiden Ranking 2016)

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Open postdoctoral position in fMRI data analysis at the California Institute of Technology
by Ueli Rutishauser Jan. 12, 2017

Jan. 12, 2017

*Post-doctoral position for fMRI data analysis at the California Institute of Technology (Caltech)* We invite applicants with strong expertise in machine learning and functional connectivity analysis of resting-state fMRI data to apply for a post-doctoral position in Caltech’s NIH Conte Center for the Neurobiology of Social Decision-Making (conte.caltech.edu) The research will be in a highly collaborative environment and include exploration of multimodal data encompassing rs-fMRI, structural MRI, psychological assessments, eyetracking data, as well as lesion data and intracranial electrophysiology, with the overall aim to investigate the neural underpinnings of individual differences. Candidates should have a recent PhD in systems, cognitive, or computational neuroscience with a track-record of first-author publications. Strong programming skills (using Matlab or Python), data handling skills, statistical literacy and fMRI software expertise (Freesurfer, AFNI/FSL/SPM, Connectome Workbench) are essential. Caltech is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law. Applicants should submit a CV, including a list of publications, a brief description of research interests and analysis skills, and a list of three references to Ralph Adolphs, radolphs(a)caltech.edu.

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3 neuroinformatics positions in the Vogels Group at Oxford University
by timvogels＠gmail.com Jan. 12, 2017

Jan. 12, 2017

Dear all, We are opening three positions (2 postdocs and a technician) in my lab to continue the work on icg.neurotheory.ox.ac.uk <http://icg.neurotheory.ox.ac.uk/>. Our first paper is still in revision, but its pretty close to out now, so if we’re lucky, at some point it will make it out into the world. You can find a preprint at http://www.biorxiv.org/content/early/2016/06/16/058685 <http://www.biorxiv.org/content/early/2016/06/16/058685>. If you are interested (or you know someone who would be interested) in any of the open positions, please find the first two ads with information on how to apply here: bit.ly/2i8zKQU <http://bit.ly/2i8zKQU> and here: bit.ly/2jkz4cn <http://bit.ly/2jkz4cn> Deadline is the 10th of February 2017 but we will keep looking until we find suitable applicants. The starting date is negotiable. We are looking for people who can code up a storm, love neurobiology and neuroinformatics and work well in a team environment. Successful candidates will work with the other members of the @icgenalogy project within the Vogels lab, http://www.neurotheory.ox.ac.uk/~timv <http://www.neurotheory.ox.ac.uk/~timv> at the cncb.ox.ac.uk <http://cncb.ox.ac.uk/> at the University of Oxford. We will collaborate with https://senselab.med.yale.edu/ModelDB/ <https://senselab.med.yale.edu/ModelDB/> and hope to integrate also with http://www.opensourcebrain.org/ <http://www.opensourcebrain.org/>, http://www.treestoolbox.org/index.html <http://www.treestoolbox.org/index.html>, and any other open source brain simulation databases that wants to coordinate their efforts. Below, please find additional information for the posts, but do feel free to drop me a line if you have any questions. Applications from women and minority groups are encouraged. All the best, Tim Vogels ------------------ Prof Tim Vogels Sir Henry Dale Research Fellow, Associate Professor Centre for Neural Circuits and Behaviour and Oriel College Department of Physiology, Anatomy & Genetics University of Oxford Mansfield Road Oxford, OX1 3SR http://cncb.ox.ac.uk <http://cncb.ox.ac.uk/> http://www.neurotheory.ox.ac.uk/~timv <http://www.neurotheory.ox.ac.uk/~timv> Postdoctoral Research Scientist in Computational Neuroscience Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford Grade 7.1 £31,076 p.a. We are seeking to appoint a Postdoctoral Research Scientist to support and expand ongoing neuroinformatics research (https://icg.neurotheory.ox.ac.uk) undertaken in the Vogels Group at the Centre for Neural Circuits and Behaviour. The candidate will contribute to the development of approaches for the quantitative analysis, comparison and categorisation of published neuroscientific models and experimental data, aiding in field-wide standardization of experimentally-constrained modelling. The researcher will be expected to carry out simulations of morphologically detailed neuron models and neuronal networks in the NEURON simulation environment, and should be familiar with, and able to implement, standard models of ion channel function. Additionally, he/she will develop neuroinformatics infrastructure for the storage, classification and visualisation of experimental and simulated data. The successful candidate will also perform general laboratory duties to include keeping accurate records of work carried out, maintaining adequate levels of general laboratory consumables, to take part in and make regular reports at laboratory meetings and to share responsibility for general data management of the lab. The candidate will also be expected to guide and support the progress of the Graduate students in the lab. Some ad hoc teaching may also be required. The successful candidate must have a demonstrable academic interest in both computer science and the neurosciences with a PhD in neuroscience, computer science or a related discipline. They will have experience with object oriented programming, be familiar with Git and team-based software development and have laboratory experience in computational neuroscience, neuroinformatics and computer science. They should have good written and oral communication skills and be able to work as part of team and to collaborate with other colleagues on a wide range of projects. The successful candidate will be based at the Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford, OX1 3TA. This is a full-time, fixed-term post until March 2020 funded by the BBSRC (Biotechnology and Biological Sciences Research Council). The closing date for applications is 12.00 noon on 10 February 2017. Lab Technician Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford Grade 5: £24,565 p.a. We are seeking to appoint a Research Technician to support and expand ongoing neuroinformatics research (https://icg.neurotheory.ox.ac.uk) undertaken in the Vogels Group at the Centre for Neural Circuits and Behaviour. The candidate will contribute to the development of approaches for the quantitative analysis, comparison and categorisation of published neuroscientific models and experimental data, aiding in field-wide standardisation of experimentally-constrained modelling. The technician will be responsible for the curation and maintenance of a large database of published neuroscientific models and simulation data. For the expansion of the database, he/she will be expected to extract and annotate data from publications, as well as manipulate code for neuroscientific models to comply to standardized specifications. This includes the conversion of existing code between common neuronal simulator frameworks (e.g. Neuron, Moose, and Genesis). The research technician will preferably have extensive experience in neuroscience and/or computer science, or a related discipline such as maths, physics or biophysics. The post has high potential for training in neuroscience and would be an excellent starting point for a career in computational neuroscience or neuroinformatics. The candidate will be expected to work in close collaboration with all team members. The successful candidate will also perform general laboratory duties to include keeping accurate records of work carried out, maintaining adequate levels of general laboratory consumables, to take part in and make regular reports at laboratory meetings and to share responsibility for general data management of the lab. This post is funded by the Biotechnology and Biological Sciences Research Council for a fixed-term of 3 years. The closing date for applications is 12.00 noon on 10th February 2017.

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TMBMC - Shannon Centennial Special Issue Part 1
by Dimitrov, Alex Jan. 11, 2017

Jan. 11, 2017

Please, take a look at the TMBMC issue that we edited. A second volume is coming up soon… View this email in your browser<https://urldefense.proofpoint.com/v2/url?u=http-3A__us12.campaign-2Darchive…> [https://gallery.mailchimp.com/660c2fc8403470cea02de0f18/images/6690283a-215…]<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> IEEE Transactions on Molecular, Biological, and Multi-Scale Communications is proud to announce that our Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon’s Centennial—Part 1 is now live on IEEE Xplore<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…>. Within the issue, you'll find the following 8 papers: * Mechanisms of information filtering in neural systems (Invited Paper; Linder) * Noise Filtering and Prediction in Biological Signaling Networks (Invited Paper; Hathcock, Sheehy, Weisenberger, Ilker, and Hinczewski) * The Use of Rate Distortion Theory to Evaluate Biological Signaling Pathways (Invited Paper; Iglesias) * Nonlinear Stochastic Dynamics of Complex Systems, III: Noneqilibrium Thermodynamics of Self-Replication Kinetics (Saakian and Qian) * Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics (Mangan, Brunton, Proctor and Kutz) * Info-Clustering: A Mathematical Theory for Data Clustering (Chan, Al-Bashabsheh, Kaced, Zhou and Liu) * Fundamental Bounds for Sequence Reconstruction from Nanopore Sequencers (Magner, Duda, Szpankowski and Grama) * Inference of Causal Information Flow in Collective Animal Behavior (Lord, Sun, Ouellette and Bollt) Special Issue Guest Editors Prof. Alexander G. Dimitrov Department of Mathematics and Statistics Department of Integrative Physiology and Neuroscience Washington State University, Vancouver, Washington, USA Prof. Faramarz Fekri Department of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, USA Prof. Aurel Lazar Department of Electrical Engineering Columbia University, New York, New York, USA Prof. Stefan M. Moser Signal and Information Processing Lab (ISI) ETH Zurich, Zurich, Switzerland Department of Electrical and Computer Engineering National Chiao Tung University (NCTU), Hsinchu, Taiwan Prof. Peter J. Thomas* Department of Mathematics, Applied Mathematics, and Statistics Department of Electrical Engineering and Computer Science Department of Biology Case Western Reserve University, Cleveland, Ohio, USA *corresponding guest editor The Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon’s Centennial—Part 2 is forthcoming. Sincerely, Christina Tang-Bernas Editorial Assistant IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Copyright © 2017 IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, All rights reserved. You are receiving this email because you have attended a TMBMC-related event, are affiliated with TMBMC and/or their editors, published in TMBMC, or opted in at the TMBMC website. Our mailing address is: IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 3737 Watt Way PHE 506 Los Angeles, CA 90089 Add us to your address book<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> Want to change how you receive these emails? You can update your preferences<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> or unsubscribe from this list<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> This email was sent to alex.dimitrov(a)vancouver.wsu.edu<mailto:alex.dimitrov@vancouver.wsu.edu> why did I get this?<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> unsubscribe from this list<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> update subscription preferences<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> IEEE Transactions on Molecular, Biological, and Multi-Scale Communications · 3737 Watt Way · PHE 506 · Los Angeles, CA 90089 · USA [mail Marketing Powered by MailChimp]<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.mailchimp.com_monke…>

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PhD position Warwick University - neuroimaging genetics for economic and strategic choice
by Massaro, Sebastiano Jan. 11, 2017

Jan. 11, 2017

[Apologies for cross-postings. Please feel free to circulate the post to your network. Thanks] PhD Position at Warwick University Neuroimaging genetics for economic and strategic choice [Competitive funding for UK/EU candidates only] Applications are invited for a full-time PhD position at Warwick University on "neuroimaging genetics for economic and strategic choice" commencing in October 2017. The project will be developed under the supervision of Prof. Feng (Warwick and Fudan) and Dr. Massaro (Warwick), at the Department of Computer Science and Warwick Business School, respectively. This project is part of an ongoing research endeavour developed with Prof. Rustichini at the University of Minnesota, Economics, and may involve other Departments and scholars at Warwick. The candidate will be based at Warwick University; due to the nature of project may be required to occasionally travel to Minneapolis and/or Shanghai. The project This PhD project undertakes a multidisciplinary approach to advance the current understanding of the biological basis of human economic and strategic decision making. The overarching question of this PhD project is: How do genes, brain activity, and behaviour relate to one another to explain the underpinnings of economic and strategic choice? Behavioral, physiological, structural and functional brain imaging, as well as genetic data will be analyzed in an integrated way to identify the biological origins and pathways expressed in brain activity and associated to specific economic and strategic tasks. Depending on their background, the candidate will join this project by contributing to the development of the genetic (GWAS), statistical (classic and Bayesian), neuroimaging (fMRI), and/or computational aspects of the project. Candidate specification We seek to recruit a highly motivated student with very strong numeracy and/or experimental skills. The ideal candidate will have a first class (or equivalent) BSc or preferably MSc degree (awarded/expected) from a reputed University in a discipline relevant to the project (i.e., mathematics, physics, computer science, cognitive sciences, genetics, neuroscience, bioinformatics, economics). Interest in the study of strategic decision-making and neuroeconomics, and former experience with genetic analyses, fMRI data analysis, and/or computational neuroscience methods are desirable. Proficiency in oral and written English is required according to the University Regulations (http://www2.warwick.ac.uk/study/postgraduate/apply/english/<https://www.findaphd.com/common/clickCount.aspx?theid=70842&type=184&DID=22…>). How to apply Candidates interested in this project shall initially contact Dr. Massaro via email (sebastiano.massaro(a)wbs.ac.uk) including a copy of their CVs (with the name of 2 referees), and specifying if self-funded or seeking a scholarship, by the 7th of February 2017. Following this, shortlisted candidates will be contacted for an informal interview. Pending a positive outcome, if seeking funding, the candidate will then be endorsed for application to the highly-competitive Bridges Programme (see below). This does not guarantee funding/placement in the Bridges Programme. Funding Shortlisted candidates seeking funding will be endorsed for application to the Bridges Programme at the University of Warwick. The Bridges Programme aims to provide PhD students with deep knowledge of contemporary research questions in the social sciences, and rigorous training in the mathematical and computational approaches needed to answer them. The Trust has a particular interest in supporting UK or EU students. More information can be found here (View Website<https://www.findaphd.com/common/clickCount.aspx?theid=70842&type=184&DID=22…>) Other UK/EU scholarships may be available at the University of Warwick for 2017/18 intake (View Website<https://www.findaphd.com/common/clickCount.aspx?theid=70842&type=184&DID=22…>). Applications from self-funded candidates are also welcome.

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[EAIS 2017] Paper Submission deadline is on Sunday, 15th January 2017 2359 UTC-12hr
by Teng Teck Hou Jan. 11, 2017

Jan. 11, 2017

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) May 31- June 2, 2017, Ljubljana, Slovenia http://msc.fe.uni-lj.si/eais2017/ ################################################## The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) will be held in Ljubljana (Slovenia), a beautiful medieval town. Ljubljana lies halfway between Vienna and Venice, at the crossroads of different cultures, geographical regions, and historical developments. Compared to other capitals, Ljubljana is very small, very green, and very walking-friendly town, which makes it a great place to explore on foot. It is in the center of Slovenia and enables exploring some of the most popular tourist sights of Slovenia in one day. Visit enchanting Bled, with its medieval castle perched upon the lake, explore mysterious Predjama castle and end the trip by visiting Postojna cave, Slovenia's number 1 attraction. EAIS 2017 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamics change. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams. EAIS 2017 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. The conference series has a history starting in 2006 in Lake District (England). It was held after that in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris (France), Madrid (Spain), Singapore, Linz (Austria), Douai (France), and Natal (Brasil). Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). ##############################Important Dates############################## * Paper Submission January 15, 2017 * Paper Decision Notification February 24, 2017 * Camera-Ready Submission March 24, 2017 * Authors registration March 24, 2017 * Conference May 31 - June 2, 2017 ########################################################################### ##########################Keynote Speakers########################## * Plamen Angelov, Professor, Lancaster University, United Kingdom * Fernando Gomide, Professor, University of Campinas, Brazil * Nikola Kasabov, Professor of Computer Sience, Auckland University of Technology, New Zealand #################################################################### ##########################Accepted Special Sessions########################## 1. Computational Intelligence in Control of Power Generating Systems, Transmission and Load Management, Session proposer: Horst Schulte, HTW Berlin Email: Horst.Schulte(a)HTW-Berlin.de ############################################################################ # ############Paper Submission and Publication############ * Papers for EAIS 2017 should be submitted electronically through the Conference website at http://msc.fe.uni-lj.si/eais2017. * Submitted papers will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. ######################################################## ######################################################## IEEE Autonomous Learning Machines Competition ALMA Competition is organized by IEEE SMC Society. The goal of this competition is to increase the level of autonomy of the learning algorithms. Competition Tracks: 1. New data sets and streams that are suitable demonstrators for the topic of the competition. 2. New methods and algorithms for Autonomous Machine Learning in: . Clustering . Classification . Control . Prediction Awards: Track 1 - $1000 Track 2 - $1000 in each category ($4000). Important Dates: 31 January, 2017. Deadline for submitting the algorithms in open source GNU license format. The proposed methods and algorithms must be described in form of papers and submitted to the ALS Competition track of EAIS 2017 and presented at the conference (which will be held in Ljubljana, Slovenia). May 31- June 2, 2017. Results will be announced during the conference EAIS 2017. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * Honorary Chairs Plamen Angelov, UK Dimitar Filev, USA Nikola Kasabov, New Zealand * Conference Chair Igor Škrjanc, chair, Slovenia Sašo Blažic, co-chair, Slovenia * Publication Chairs Edwin Lughofer, Austria Sašo Blažic, Slovenia * Local Arrangement Chairs Dejan Dovžan, Slovenia Milan Simcic, Slovenia * Web & Publicity Chair José A. Iglesias, Spain Teck-Hou Teng, Singapore * Special Session Chair: Radu-Emil Precup, Romania * Program Committee Chair: Igor Škrjanc, Slovenia * International Program Committe Cesare Alippi, Italy Plamen Angelov, UK Rosangela Ballini, Brazil Rashmi Dutta Baruah, India Abdelhamid Bouchachia, UK Jorge Cassillas, Spain Bruno Costa, Brazil Dejan Dovžan, Slovenia Alain Droniou, France Dimitar Filev, USA Nadine Gaertner, Germany Joao Gama, Portugal Fernando Gomide, Brazil Jose Antonio Iglesias Martínez, Spain Lazaros Iliadis, Greece Nik Kasabov, New Zealand Juš Kocijan, Slovenia Ana Kosareva, Germany Rudolf Kruse, Germany Agapito Ledezma, Spain Daniel Furtado Leite, Brazil Andre Lemos, Brazil Chin Teng Lin, Taiwan Edwin Lughofer, Austria Yannis Manolopoulos, Greece Trevor Martin, UK Moamar Sayed Mouchaweh, France Veronika Nesheva, UK Seiichi Ozawa, Japan Witold Pedrycz, Canada Radu-Emil Precup, Romania Jose de Jesus Rubio, Mexico Araceli Sanchis de Miguel, Spain Horst Schulte, Germany Olga Senyukova, Russia Teck Hou Teng, Singapore Marley Vellasco, Brazil Di Wang, UAE Wilson Wang, Canada Ronald Yager, USA ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Laboratory of Modeling, Simulation and Control, University of Ljubljana * Laboratory of Autonomous Mobile Systems, University of Ljubljana ##########################################################################

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PhD position available at ETH Zürich
by Felix Franke Jan. 10, 2017

Jan. 10, 2017

We are looking for a talented student with a proactive and self-driven nature who will map functional characteristics of retinal ganglion cells across the entire retina. The successful candidate will perform experiments with ex-vivo retinae and state-of-the-art microelectrode array technology in an interdisciplinary research project and will collaborate with scientists in electrical engineering, neurobiology, computational neuroscience and ophthalmic research. The PhD project is set in an interdisciplinary research group providing an exciting scientific environment and linked with several ongoing projects. It will pave the way to a better functional understanding of the organization of retina, including the optics of the eye and the statistics of natural stimuli. In particular, we want to understand if functional properties of retinal ganglion cells follow a spatial organization across the entire retina. The ideal candidate will have strong programming skills (e.g., Matlab, Python, C++), knowledge of statistics and data analysis methods, and a background in Systems Neuroscience, Electrophysiology, Computational Neuroscience, Signal Processing, Optics or related fields. Inquiries should be addressed to Dr. Felix Franke (felix.franke(a)ethz.ch) The position is with the Bio Engineering Laboratory of ETH Zurich in Basel in the group of Prof. Andreas Hierlemann (https://www.bsse.ethz.ch/bel) and begins in March 2017 although the starting date is flexible. The position is fully funded for 4 years. Please apply under https://apply.refline.ch/845721/5083/pub/1/index.html including a CV, short statement of motivation and research interests, and two letters of reference. -- Felix Franke, PhD ETH Zürich, D-BSSE Bio Engineering Laboratory (BEL) http://www.bsse.ethz.ch/bel

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Save the Date: 3rd Int. Workshop on Machine learning, Optimization & big Data - MOD 2017 Call for Papers - Paper submission deadline: February 28, 2017
by Giuseppe Nicosia Jan. 9, 2017

Jan. 9, 2017

[Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 3rd International Workshop on Machine learning, Optimization and big Data - MOD 2017 An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders - SIAF Learning Village - Volterra (Pisa) Tuscany, September 14-17, 2017 http://www.taosciences.it/mod/ modworkshop2017(a)gmail.com ************************* CALL FOR PAPERS ************************* Paper submission deadline: February 28, 2017 http://www.taosciences.it/mod/call-for-papers/ https://easychair.org/conferences/?conf=mod2017 The MOD 2017 workshop will consist of four days of workshop sessions and special sessions. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the workshop proceedings: http://www.taosciences.it/mod/call-for-papers/ https://easychair.org/conferences/?conf=mod2017 Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Papers must be submitted in PDF. MOD 2017 Types of Submissions When submitting a paper to MOD 2017, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the workshop. MOD 2017 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer *after* the Workshop. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2017 web site. MOD 2017 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=mod2017 The deadline is February 28, 2017 MOD 2017 Important Dates + Paper Submission Deadline: February 28, 2017 + Decision Notification to Authors: May 1st, 2017 + Camera Ready Submission Deadline: June 1st, 2017 + Deadline for early Registration as Presenting Author: June 1st, 2017 + Late registration: June 2 – September 17, 2017 + On-Site registration: September 14-17, 2017 + MOD 2017 Workshop: September 14-17, 2017 We look forward to seeing you in Tuscany! Giuseppe Nicosia & Panos Pardalos - MOD 2017 Chairs. — http://www.taosciences.it/mod/ modworkshop2017(a)gmail.com MOD 2016 Keynote Speakers: Nello Cristianini, University of Bristol, UK George Michailidis, University of Florida, USA Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA http://www.taosciences.it/mod-2016/keynote-speakers/ MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA http://www.taosciences.it/mod-2015/MOD 2015 -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Science Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia(a)dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 4th International Synthetic & Systems Biology Summer School - SSBSS 2017 * Biology meets Computer Science & Engineering * July 17-21, 2017 - University of Cambridge, Robinson College, UK http://www.taosciences.it/ssbss/ Contact Email: ssbss.school(a)gmail.com FB: https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/ ================================================================== 3rd International Workshop on Machine learning, Optimization & big Data - MOD 2017 September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy modworkshop2017(a)gmail.com http://www.taosciences.it/mod/ ==================================================================

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Master position in computational neuroscience at INRIA
by Bruno Cessac Jan. 9, 2017

Jan. 9, 2017

Master position in computational neuroscience at INRIA We are seeking an undergraduate student interested in doing a Master thesis, possibly followed by a funded Ph.D. in our group Biovision at INRIA Sophia Antipolis <http://www.inria.fr/en/centre/sophia> lead by Dr. Bruno Cessac. The detailed proposition can be found here https://team.inria.fr/biovision/files/2016/12/M2_Intership_Proposal.pdf In collaboration with experimentalists our group studies how the visual system encodes information about external word. We propose biophysical models, we develop methods coming from theoretical physics and mathematics to analyse them, and we design software inspired from the visual system to mimic its behaviour and to analyse experimental data. Successful applicants should have a strong background in computer science. Physics, mathematics or life science majors with strong skills in computer science (especially C/C++), interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Unfortunately our source of fundings only covers members of the European Community. Prospective students should apply by sending an email to which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts to be sent to bruno.cessac(a)inria.fr Looking forward to your applications! Bruno Cessac

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several full-time job openings at HRL Laboratories in Malibu, CA
by Pilly, Praveen K Jan. 8, 2017

Jan. 8, 2017

(1) POST DOC RESEARCH STAFF, Machine Learning and Brain-Inspired Computing (2) RESEARCH STAFF, Machine Learning and Brain-Inspired Computing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, or related fields. ESSENTIAL JOB FUNCTION: To develop, implement, and evaluate novel large-scale brain-inspired computational architectures, including spiking neuromorphic models, to solve complex problems such as resilient sensorimotor control; one-shot learning; visual scene segmentation, recognition, and tracking; spatiotemporal pattern discovery; big data prognostics and diagnostics; grammar learning; etc. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. KNOWLEDGE AND EXPERIENCE DESIRED: Programming proficiency in C++, Python, or Matlab is required. Knowledge and/or research experience in the development, implementation, and evaluation of various neural networks including spiking neuromorphic models, deep learning models, hierarchical temporal memory models, recurrent neural networks, long short-term memory models, deep reinforcement models. Knowledge of expectation maximization theory, Bayesian inference on graphical models, reinforcement learning theory, control systems, nonlinear optimization, and episodic, semantic, and procedural memory systems is preferred. Any experience with high-performance computing using clusters, GPUs, or FPGAs will be a plus. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: U.S. person status required. (3) POST DOC RESEARCH STAFF, Machine Learning and EEG Processing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, Bio-Statistics, or related fields ESSENTIAL JOB FUNCTION: To develop, implement, and validate real-time pattern recognition algorithms for decoding high-density EEG signals to predict future behavioral performance and inform non-invasive brain stimulation for behavioral enhancement in realistic tasks. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. EXPERIENCE DESIRED: Research experience in one or more of the following areas: high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, brain-machine interfaces, neural statistical modeling, closed-loop brain stimulation, and computational neuroscience. Deep understanding of machine learning algorithms applied to EEG is highly desirable. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply. KNOWLEDGE AND EXPERIENCE DESIRED: Background in one or more of the following areas: machine learning, pattern recognition, statistical data analysis, neural statistical modeling, neurophysiology, peripheral physiology, neuroscience, and sleep/wake states. Programming proficiency in Matlab and/or C++ is required. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: U.S. person status required. We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. (4) SOFTWARE ENGINEER, Cluster Implementation for Large-Scale Brain Networks EDUCATION DESIRED: Master's degree (or higher) in computer science, engineering, or related fields ESSENTIAL JOB FUNCTION: To implement and evaluate flexible, general-purpose large-scale brain networks on CPU and GPU clusters for real-time operation in real-world applications. Also to visualize large-scale network activity and develop a user interface to set various parameters. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. KNOWLEDGE AND EXPERIENCE DESIRED: Strong C++ and Python programming skills are required. Experience with/knowledge of brain networks and neural models is highly desired. Experience with threaded programming and MPI, and familiarity with Linux development environment is desired but not necessary. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. SPECIAL REQUIREMENTS: U.S. person status required. We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories conducts groundbreaking research in three thrust areas: Complex Networks, Secure and Resilient Systems, Autonomy Computing, and Human-Machine Cognition. We create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare. The goal of our research in Human-Machine Cognition is to understand how humans process information and effectively interact with the environment to develop smarter autonomous systems, enhance human performance, and develop novel processing systems. Our research starts with the development of large-scale, neurobiologically and behaviorally faithful brain region models. We apply these models along with real-time measurements of brain activity (EEG, fMRI, fNIRS) to create advanced brain-computer interfaces, human decision aids, and neurostimulation-based enhanced training systems. We also use our models to develop novel brain-inspired sensor exploitation, machine learning, and control algorithms, and to develop low size, weight and power brain-based processing hardware for resilient autonomous systems, dexterous robots, and threat warning applications. HRL offers a competitive salary and benefits package, a small company atmosphere, and an ideal work location overlooking the Pacific Ocean. We also provide a collaborative technical culture committed to producing the leading R&D in the world. If interested, please send your resume via email to Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) and put the pertinent Job Name in the subject heading. -- Praveen K. Pilly, Ph.D. Research Staff Scientist Information and Systems Sciences Laboratory HRL Laboratories Address: 3011 Malibu Canyon Road, Malibu, CA 90265 Tel: (310) 317-5492 Email: pkpilly(a)hrl.com

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Multiple Postdoc positions in systems neuroscience at Columbia University
by Qi Wang Jan. 6, 2017

Jan. 6, 2017

Apologies for cross posting. Multiple postdoc positions funded by NIH and DARPA projects are available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The projects investigate the role of the locus coeruleus (LC) – norepinephrine (NE) system in modulating perception, behavior and learning, and how to accelerate perceptual learning through control of LC activity and peripheral nerve stimulation. We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical Engineering, Neuroscience, Electrical & Computer Engineering, or a related field. Ideal applicants should have a background on electrophysiology, behavioral training of rodents, and quantitative analytical methods. Experiences in optical imaging is a plus. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Applicants should submit a CV, including a list of publications, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu. Salary will be commensurate to the candidate qualifications. -- ====================================== Qi Wang, Assistant Professor Dept. of Biomedical Engineering Columbia University ET 351, 500 W 120th Street New York, NY 10027 Email:qi.wang@columbia.edu Associate Editor IEEE Transactions on Neural Systems and Rehabilitation Engineering http://tnsre.embs.org/

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Applications open for Okinawa/OIST Computational Neuroscience Course 2017
by Erik De Schutter Jan. 6, 2017

Jan. 6, 2017

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2017 Methods, Neurons, Networks and Behaviors June 26 to July 13, 2017 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 26th through July 13th, 2017 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 3 - February 5, 2017. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Bard Ermentrout (University of Pittsburgh, USA) • Ila Fiete (University of Texas Austin, USA) • Sonja Grün (Research Centre Jülich, Germany) • Shin Ishii (Kyoto University, Japan) • Jason Kerr (MPI Bonn, Germany) • Bernd Kuhn (OIST) • Subkin Lim (NYU Shanghai, China) • Michele Migliore (Institute of Biophysics, Italy) • David Redish (University of Minnesota, USA) • Reza Shadmehr (Johns Hopkins University, USA) • Greg Stephens (OIST) • Yoko Yazaki-Sugiyama (OIST) • Charles Wilson (University of Texas San Antonio, USA)

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Columbia Workshop on Brain Circuits, Memory and Computation 2017
by Aurel A. Lazar Jan. 5, 2017

Jan. 5, 2017

Columbia Workshop on Brain Circuits, Memory and Computation 2017 BCMC 2017 March 13-14, 2017 Center for Neural Engineering and Computation Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017> is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Organizer and Program Chair Aurel A. Lazar <http://www.ee.columbia.edu/~aurel>, Department of Electrical Engineering, Columbia University. Program Overview (Confirmed Speakers) Dinu Florin Albeanu <http://albeanulab.labsites.cshl.edu/people/>, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY. Vijay Balasubramanian <http://www.sas.upenn.edu/~vbalasub/public-html/Home.html>, Department of Physics, University of Pennsylvania. Albert Cardona <https://www.janelia.org/people/albert-cardona>, Janelia Research Campus, Ashburn, VA. Ann-Shyn Chiang <http://brc.life.nthu.edu.tw/FlyLab/html/leader.html>, National Tsing Hua University, Hsinchu, Taiwan. Jonathan B. Demb <http://eyes.yale.edu/people/jonathan_demb.profile>, Yale School of Medicine. Barry J. Dickson <https://www.janelia.org/people/barry-dickson>, Janelia Research Campus, Ashburn, VA. Anmo J. Kim <http://www.rockefeller.edu/research/faculty/labmembers/GabyMaimon/>, Rockefeller University, New York. Konrad P. Kording <http://klab.smpp.northwestern.edu/wiki/index.php5/People>, Feinberg School of Medicine, Northwestern University. Adam H. Marblestone <http://www.adammarblestone.org/>, Synthetic Neurobiology Group, MIT. Katherine I. Nagel <http://www.nagellab.com/people/>, NYU Medical School. Gerald M. Rubin <http://www.hhmi.org/scientists/gerald-m-rubin>, Janelia Research Campus, Ashburn, VA. Silke Sachse <https://www.ice.mpg.de/ext/index.php?id=hopa&pers=sisa3622>, Max Planck Institute for Chemical Ecology, Jena. Marion Silies <http://www.eni-net.org/members/dr-marion-silies>, European Neuroscience Institute, Göttingen. Andreas S. Thum <https://cms.uni-konstanz.de/neuro/member/?tx_mhkleineidam_pi1%5BpId%5D=5029>, Department of Biology, University of Konstanz. Tim P. Vogels <https://www.dpag.ox.ac.uk/research/vogels-group>, Department of Physiology, Anatomy and Genetics, University of Oxford. More information about BCMC 2017 can be found here <http://fruitflybrain.org/workshops.html>. Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

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Fwd: Ressearch Assitant McGill University
by Md. Taufiq Nasseef Jan. 4, 2017

Jan. 4, 2017

I am already a member of this comp-neuro mailing list. Could you circulate this one please. Thanks. Best wishes, Taufiq *Please see advertisement below:* *Job Title:* Research Assistant *Hiring Unit*: Dr. Brigitte Kieffer’s laboratory *Work Location*: Douglas Hospital and Research Center - Perry Building 6875, boul. LaSalle *Hours/week*: 35 hours/week – Mon-Fri *Salary*: $27,000 -36,000 (adjusted according to experience) *Start Date:* February 1st 2017 *Description:* The selected candidate will be part of an internationally renowned team of Prof. Brigitte Kieffer (http://douglas.research. mcgill.ca/brigitte-kieffer) and will be a key actor for two team projects. These studies aim at understanding the function of Mu opioid receptors (the receptors for morphine) within brain networks and also test innovative opiates drugs. Methodological approaches include establishment of functional connectivity signatures using fMRI in live mice and also visualize/quantify receptor signaling by fluorescence microscopy. The selected candidate will be responsible for image acquisition and post-processing of the fMRI images as well as participating in the development of a pipeline to analyze multiphoton or confocal microscopy images. *Primary Duties*: Acquisition of fMRI images (Bruker 7 Tesla) Data analysis and image post-processing 3D reconstruction and volume analysis of microscopy (confocal/multiphoton) images *Requirements:* Bachelors degree in Biology/Computer Science or relevant experience. Knowledge in MRI and animal experimentation. Knowledge in coding, OS and languages (Linux, MATlab, Python) Excellent organizational and time management skills. Strong team spirit to ensure optimal interactions with all team scientists. *Comments:* The person will profit from Douglas Research Centre benefits. Applicants are invited to submit their cover letters and resumes via email to: emmanuel.darcq(a)douglas.mcgill.ca We thank all applicants. Only selected candidates will be contacted. ------------------------------------------------------------ ------------------------------- Emmanuel Darcq, PhD Brigitte Kieffer Lab, Douglas Research Centre Dpt Psychiatry, Faculty of Medicine, McGill University Perry room E-3403 6875, boulevard LaSalle Montreal (Quebec) H4H 1R3 CANADA Phone :+1 514 761-6131 ext.: 4772 Avis de confidentialité: L'information contenue dans ce courriel peut être confidentielle et/ou privilégiée. Si vous n’êtes pas le destinataire de ce message, veuillez le détruire et en informer l’expéditeur. Il est interdit de copier ou de modifier ce courriel sans autorisation de l’auteur. Le Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Île-de-Montréal n’assume aucune responsabilité du contenu des messages personnels. Notice of confidentiality: The information contained in this email may be confidential and/or privileged. If you are not the intended recipient of this message, please destroy it and advise the sender. It is forbidden to copy or modify this email without the author's consent. The Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Île-de-Montréal is not responsible for the content of personal messages. -- Md Taufiq Nasseef, PhD Post Doctoral Fellow Brain Imaging Center Douglas Mental Health University Institute McGill University 6875 Lasalle Blvd. Montreal, QC, H4H 1R3 Canada Tel: (514) 862-6907 <%28514%29%20557-2740>

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Master Internship + PhD at CerCo, Toulouse, France
by Timothée Masquelier Jan. 4, 2017

Jan. 4, 2017

Beating Roger Federer: *Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device* *Goal:* Internship for student in engineering school / Master degree’s student. The project can lead to a PhD grant. *When:* 5-6 months from February to July 2017 *Topic:* How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system – based on FPGA circuits and ARM processor – an artificial neural network which would replicate – and perhaps beat – the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. *The project is funded by a French National Research Agency (ANR)*, involving two sites and several researchers: - Robin Baurès, Benoit Cottereau, Timothée Masquelier and Simon Thorpe, CerCo, Toulouse. - Michel Paindavoine, GST, Dijon. *Where: *The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. *Objectives for the engineering / Master internship:* - Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. - VHDL coding to implement these numerical filters into the FPGA circuits of the cameras - C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system - Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball’s trajectories *Required skills:* - Strong knowledge on electronic, and openness to computational neurosciences - Knowledge in signal-image processing, and artificial neural network - Interest for multidisciplinary research - Ability to turn smoothly autonomous, once the road has been set - Ability to be at the interface of two scientific fields and two working areas - Programming with Matlab and/or Python for simulating the neural network - Programming in VHDL language for FPGA circuits - Programming in C/C++ language for porting the algorithms on ARM microprocessors - French is not a requirement if fluent in English, but willingness to learn would be beneficial *Relevant publications for the project:* - Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning.Neural Comput, 21(5),1259-1276. - Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. - Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. - SmartNeuroCam de GST : https://gsensing.eu/fr/ category/sections/products *Contact:* *Robin Baurès, PhD* Associate Professor CerCo, Université Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 – France Office phone: 0033 (0)5 62 74 62 15 <05%2062%2074%2062%2015> Email : robin.baures(a)cnrs.fr *Pr Michel Paindavoine* GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine(a)gsensing.eu

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Postdoc position at TU Berlin/BCCN Berlin
by Philipp Hoevel Jan. 4, 2017

Jan. 4, 2017

The Hövel group (Institute of Theoretical Physics at TU Berlin and Bernstein Center for Computational Neuroscience Berlin) invites application for a postdoc position in the area of computational neuroscience. The successful applicant will be joining a DFG-funded project entitled "Temporal fluctuations in functional networks of the human brain - modeling brain transition between cognitive states" Detailed knowledge in the area of computational neuroscience and nonlinear dynamics is essential, experience in neuroimaging data analysis is advantageous. For further details, see official call for applications: https://tub.stellenticket.de/de/offers/31261/ Closing date for applications is January 23, 2017. -- Dr. Philipp Hövel Junior Research Group Leader Technische Universität Berlin Fakultät II - Mathematik und Naturwissenschaften Institut für Theoretische Physik, Sekr. EW 7-1 Hardenbergstr. 36 10623 Berlin, Germany Phone: +49 (0)30 314-27658 Fax: +49 (0)30 314-21130 Email: phoevel(a)physik.tu-berlin.de Web: http://www.tu-berlin.de?hoevel

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Funded PhD position on neural circuits & behaviour, University of Cambridge
by Timothy O'Leary Jan. 4, 2017

Jan. 4, 2017

A funded PhD position "Reverse-engineering invertebrate neural circuits" is available in the group of Timothy O'Leary, University of Cambridge. Start date: October 2017, *application deadline: January 31, 2017*. Eligibility: *UK and EU students*. The project is a collaboration with a leading experimental lab (Marta Zlatic, HHMI), studying the neural circuits underlying behavioural variability in Drosophila. The project aims to uncover circuit principles of action selection using a combination of theory, computational modeling and cutting-edge experiments. Applicants should have strong skills in mathematics, programming and data analysis, and a desire to develop cutting-edge experimental techniques. *Full description and application instructions are available here*: http://www.jobs.cam.ac.uk/job/12211/ Please feel free to contact Dr O'Leary directly with informal enquiries ( tso24(a)cam.ac.uk) http://www.neuroscience.cam.ac.uk/directory/profile.php?tso24

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Systems neuroscience mailing list
by Nikolas Karalis Jan. 4, 2017

Jan. 4, 2017

Dear all, I would like to inform you about a new mailing list targeted to researchers in the wider field of Systems Neuroscience. The aim is to create a platform for the distribution of useful information such as job and conference calls. More information about this mailing list can be found at the website: www.systemsneuroscience.eu You can directly subscribe by clicking this link <https://groups.google.com/group/systems-neuroscience/subscribe>. If you would like to advertise any job openings or events you are organizing, please feel free to post to the mailing list by sending an email to the address: systems-neuroscience(a)googlegroups.com Kind regards, Nikolas Karalis -- Nikolas Karalis - http://www.nikolaskaralis.gr <http://nikolaskaralis.gr> Doctoral Candidate in Neuroscience - Ludwig-Maximilians Universität München M.Sc. in Neuroscience (Charité, Berlin & Université de Bordeaux II) B.Sc, M.Sc in Applied Mathematics and Physics (NTUA)

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Postdoctoral Position in Computational Neuroscience at IDIBAPS/UPF (Barcelona)
by JROCHAV＠clinic.cat Jan. 3, 2017

Jan. 3, 2017

Postdoctoral Position on Behavioural modelling and neural analysis of flexible perceptual decision-making at IDIBAPS / UPF (Barcelona) A postdoctoral research position in computational neuroscience is available to work with Jaime de la Rocha at IDIBAPS (Barcelona) and Alexandre Hyafil at the Universitat Pompeu Fabra (UPF, Barcelona). The postdoctoral fellow will be a vital member of the interdisciplinary research team led by Jaime de la Rocha that studies perception and cognition using combined theoretical and experimental approaches. More specifically, the fellow’s work will be part of an ERC-funded project aiming to unravel the behavioural principles and the neural mechanisms underlying how recent experience shapes perception and guides decisions. The fellow will (1) characterize the behavioural influence of recent history onto perceptual choices in rats and humans performing acoustic discrimination tasks, (2) analyze population recordings from cortical neurons obtained from rats to uncover the traces of recent history decision biases and (3) build dynamical models of behaviour based on the population recordings using a variety of machine learning tools. Behavioural and neural data is currently being acquired by other researchers in the lab. The work will be co-supervised between Jaime de la Rocha, head of the Cortical Circuit Dynamics Group (http://neuro.fcrb.es/delaRochaLab/) and Alexandre Hyafil who is establishing his new laboratory in the nearby UPF, and has in the last years develop a set analysis techniques fitted for our data. Both groups are part of the vibrant computational neuroscience community of Barcelona, which promotes the interaction among groups by organizing multiple interaural activities. Applicants should have a strong background in computational neuroscience or applied mathematics and have a keen interest in interdisciplinary approaches that integrate modeling and experimental research. Programming proficiency (Matlab and/or Python) is required. Experience in machine learning methods, advanced statistics as well as nonlinear dynamical systems will be valued. Ability to collaborate in a pluridisciplinary team is essential. Initial appointment for this position is for two years. Review of applications will begin immediately and will continue until the position is filled. Applicants, please send a resume, names and contact of 3 references and a cover letter explaining your interest and research experience to jrochav(a)clinic.cat<mailto:jrochav@clinic.cat> and alexandre.hyafil(a)gmail.com<mailto:alexandre.hyafil@gmail.com>. Jaime de la Rocha Group Leader at IDIBAPS c. Rosselló 149-153 Barcelona, 08036 Spain Tel. +34 932275400 (4307)

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PhD positions available at the Bernstein Centre Freiburg, Germany
by Carsten Mehring Jan. 2, 2017

Jan. 2, 2017

The Bernstein Center Freiburg (BCF) is inviting applications for fully funded PhD positions in Computational Neuroscience and Neurotechnology. The BCF concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application. The deadline for applications is January 31, 2017. For more information, please visit our website http://www.bcf.uni-freiburg.de/jobs <http://www.bcf.uni-freiburg.de/jobs> -- Dr. Birgit Ahrens birgit.ahrens(a)bcf.uni-freiburg.de <mailto:birgit.ahrens@bcf.uni-freiburg.de> Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

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NeuroBridges 2017 Summer school announcement
by ahmed el hady Jan. 2, 2017

Jan. 2, 2017

*NeuroBridges 2017 Summer school , Cluny, France* *(** September 3 - September 14, 2017 )* *NeuroBridges* is an initiative that was founded to bring Mediterrenean and Middle Eastern neuroscientists in an event to discuss science and promote mutual understanding. The two first events of the series took place in Goettingen, Germany in July 2014 ( http://elsc.huji.ac.il/content/neurobridges) and in Paris, France, in September 2015 (http://elsc.huji.ac.il/content/second-neurobridges-meeting) Each of these three days events brought together twenty young speakers, Palestinians, Egyptians, Jordanians, Syrians and Israelis, as well as several speakers from the hosting countries. Nobel Laureate Erwin Neher opened NeuroBridges in 2014. Stanislas Dehaene, professeur au College De France and member of the French Academy of Sciences gave the opening lecture in NeuroBridges 2015. *NeuroBridges 2017* ( http://decision-making-lab.com/NeuroBridges/neurobridges2017.html) will be a ten days summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions of contemporary neuroscience. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge (i.e. linear algebra, calculus, in particular ordinary differential equation). Through the online application system (can be accessed through: http://decision-making-lab.com/NeuroBridges/neurobridges2017.html ) , you will be asked to provide personal details, academic background, the names of two referees , a motivation letter that should include a paragraph about your quantitative skills and a CV. The school will take place between September 3 and September 14, 2017 in Le Centre de Conférences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. The application deadline is March 31st 2017. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home>(Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home> (Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel>(CNRS, Paris, France). *2017 Confirmed Faculty (check the website regularly for updated faculty list):* Carl van Vreeswijk (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/carl-van-vreeswijk/> Gianluigi Mongillo (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/gianluigi-mongillo/> Shaul Druckmann (Janelia) <https://www.janelia.org/people/shaul-druckmann> Yoram Burak (Hebrew University) <http://elsc.huji.ac.il/burak/home> Omri Barak (Technion) <http://neuroscience.technion.ac.il/researcher/19> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Farzan Nadim (NJIT) <https://biology.njit.edu/people/nadim.php> If you have any questions, please do not hesitate to email Ahmed El Hady (email: ahady(a)princeton.edu )

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4th International Synthetic & Systems Biology Summer School, July 17-21, 2017, University of Cambridge, UK
by Giuseppe Nicosia Dec. 26, 2016

Dec. 26, 2016

_________________________________________ Call for Participation (apologies for multiple copies) _________________________________________ 4th International Synthetic & Systems Biology Summer School *Biology meets Computer Science & Engineering* July 17-21, 2017, University of Cambridge, UK W: http://www.taosciences.it/ssbss/ E: ssbss.school(a)gmail.com F: https://www.facebook.com/ssbss.school/ APPLICATION DEADLINE: March 31, 2017 http://www.taosciences.it/ssbss/#application-form <http://www.taosciences.it/ssbss/#application-form> DESCRIPTION & GOALS: Recent advances in DNA synthesis have increased our ability to build biological systems. Synthetic Biology aims at streamlining the design and synthesis of robust and predictable biological systems using engineering design principles and advanced algorithms. Designing biological systems requires a deep understanding of how genes and proteins are organized and interact in living cells: Systems Biology aims at elucidating the cellular organization at gene, protein and network level using computational and biochemical methods. The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Robinson College, University of Cambridge, UK on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results, and to interact with their peers, in a friendly and constructive environment. LIST OF SPEAKERS: * Antonino Cattaneo, Scuola Normale Superiore Pisa, Italy * Jasmin Fisher, Microsoft Research & Cambridge Systems Biology Centre, UK * Carole Goble, University of Manchester, UK * Jim Haseloff, University of Cambridge, UK * Jay Keasling, University of California, Berkeley, USA Lawrence Berkeley National Laboratory, USA Joint BioEnergy Institute, USA * Edda Klipp, Humboldt University, Germany * Natalio Krasnogor, Centre for Synthetic Biology and Bioexploitation, Newcastle University, UK * Markus Ralser, Cambridge Systems Biology Centre, University of Cambridge, UK & The Francis Crick Institute London, UK * Uwe Sauer, Institute of Molecular Systems Biology, ETH Zurich, Switzerland * Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK SCHOOL DIRECTORS: * Massimo Gulisano, University of Catania, Italy * Giuseppe Nicosia, University of Catania, Italy * Steve G. Oliver, University of Cambridge, UK CALL FOR POSTERS & TALKS: The International Synthetic & Systems Biology Summer School is especially aimed to provide a stimulating environment for young researchers, Post-Doc and Ph.D. Students. They will have the possibility to present the results of their research activities on the topic of the summer school, and to interact with their scientific peers, in a friendly and constructive way. Applicants may submit an abstract to present their results. The abstract should be submitted before 31 March 2017. Suitable space will be reserved to the applicants for showing their posters. The poster must be written in English. For your poster, a board will be provided which measures 90cm tall by 70cm wide. You need to print and bring with you the poster to the school. Push tacks or Velcro adhesive will be provided at the conference to mount your poster to the board. POSTER & TALK SUBMISSION: Applicant may submit a research abstract for presentation using the Application Form. School directors and the Scientific Committee will review the abstracts and will recommend for poster or short-oral presentation. Abstract should be submitted by March 31, 2017. The abstracts will be published on the electronic hands-out material of the summer school. http://www.taosciences.it/ssbss/#application-form PREVIOUS EDITIONS: http://www.taosciences.it/ssbss2016/ http://www.taosciences.it/ssbss2015/ http://www.taosciences.it/ssbss2014/ MORE INFORMATION: W: http://www.taosciences.it/ssbss/ E: ssbss.school(a)gmail.com F: https://www.facebook.com/ssbss.school/ * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2017. Together we will make SSBSS 2017 a great event! * SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/

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CFP - 13th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2017)
by Sandhya Prabhakaran Dec. 24, 2016

Dec. 24, 2016

Hi, ** We apologize in advance if you receive multiple copies of this CFP ** ** Kindly help to distribute this CFP to your mailing list ** *4th Call for Papers * 13th International Conference on Machine Learning and Data Mining in Pattern Recognition (*MLDM 2017*) www.mldm.de July 15th - 21st, 2017 New York, USA Chair: Prof. Dr. Petra Perner Institute of Computer Vision and applied Computer Sciences, IBaI Leipzig/Germany Program Committee Sergey Ablameyko Belarus State University, Belarus Michelangelo Ceci Universtiy of Bari, Italy Patrick Bouthemy INRIA VISTA, France Xiaoqing Ding Tsinghua University, China Christoph F. Eick Universtiy of Houston, USA Ana Fred Technical University of Lisboa, Portugal Giorgio Giacinto University of Cagliari, Italy Makato Haraguchi Hokkaido University of Sapporo, Japan Dimitris Karras Chalkis Institute of Technology, Greece Adam Krzyzak Concordia University, Canada Thang V. Pham University of Amsterdam, The Netherlands Linda Shapiro University of Washington, USA Shashank Shekhar VMware Inc., USA Tamas Sziranyi MTA-SZTAKI, Hungary Francis E.H. Tay National University of Singapore, Singapore Alexander Ulanov HP Labs, Russia Zeev Volkovich ORT Braude College of Engineering, Israel Patrick Wang Northeastern University, USA Aim of the Conference ------------------------- The MLDM´2017 conference is the tenth event in a series of Machine Learning and Data Mining meetings, initially organised as international workshops. The aim of MLDM´2017 is to bring together from all over the world researchers dealing with machine learning and data mining, in order to discuss the recent status of the research in the field and to direct its further developments. Basic research papers as well as application papers are welcome. All kinds of applications are welcome, but special preference will be given to multimedia related applications, biomedical applications, and webmining. Paper submissions should be related but not limited to any of the following topics: * association rules * case-based reasoning and learning * classification and interpretation of images, text, video * conceptional learning and clustering * Goodness measures and evaluaion (e.g. false discovery rates) * inductive learning including decision tree and rule induction learning * knowledge extraction from text, video, signals and images * mining gene data bases and biological data bases * mining images, temporal-spatial data, images from remote sensing * mining structural representations such as log files, text documents and HTML documents * mining text documents * organisational learning and evolutional learning * probabilistic information retrieval * Selection bias * Sampling methods * Selection with small samples * similarity measures and learning of similarity * statistical learning and neural net based learning * video mining * visualization and data mining * Applications of Clustering * Aspects of Data Mining * Applications in Medicine * Autoamtic Semantic Annotation of Media Content * Bayesian Models and Methods * Case-Based Reasoning and Associative Memory * Classification and Model Estimation * Content-Based Image Retrieval * Decision Trees * Deviation and Novelty Detection * Feature Grouping, Discretization, Selection and Transformation * Feature Learning * Frequent Pattern Mining * High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry * Learning and adaptive control * Learning/adaption of recognition and perception * Learning for Handwriting Recognition * Learning in Image Pre-Processing and Segmentation * Learning in process automation * Learning of internal representations and models * Learning of appropriate behaviour * Learning of action patterns * Learning of Ontologies * Learning of Semantic Inferencing Rules * Learning of Visual Ontologies * Learning for robots * Mining Images in Computer Vision * Mining Images and Texture * Mining Motion from Sequence * Neural Methods * Network Analysis and Intrusion Detection * Nonlinear Function Learning and Neural Net Based Learning * Real-Time Event Learning and Detection * Retrieval Methods * Rule Induction and Grammars * Speech Analysis * Statistical and Conceptual Clustering Methods: Basics * Statistical and Evolutionary Learning * Subspace Methods * Support Vector Machines * Symbolic Learning and Neural Networks in Document Processing * Time Series and Sequential Pattern Mining * Mining Social Media * Audio Mining * Cognition and Computer Vision Important Dates ----------------- Deadline for paper submission: January 15, 2017 Notification of acceptance: March 18 , 2017 Submission of camera-ready copy: April 05, 2017 Submission guidelines ------------------------- Authors can submit their papers in long or short version: Please submit the electronic version of your camera-ready paper through the COMMENCE conference management system (http://www.mldm.de/CMS/) If you have any problems with the system please do not hesitate to contact info(a)mldm.de. Long Papers Long papers must be formatted in the Springer LNCS format. They should have at most 15 pages. Papers will be reviewed by the program committee. Accepted long papers will appear in the proceedings book "Machine Learning and Data Mining in Pattern Recognition" published by Springer Verlag in the LNAI series. Extended versions of selected papers will be published in a special issue of an international journal after the conference. Short Papers Short papers are also welcome and can be used to describe work in progress or project ideas. They should have no more than 5 pages and must be also formatted in Springer LNCS format. Accepted short papers will be presented as posters in the poster session. They will be published in a special poster proceedings book. Papers will be submitted via the online reviewing system. Best Paper Award ---------------------- The best scientific paper is distinguished with a Best Paper Award. A outstanding contribution in the field of Machine Learning and Data Mining for Pattern Recognition will be awarded with the Best Paper Award. There will be three nominations for the Best Paper Award before the conference. All nominee will receive a certificate. The final decision of the Best Paper Award will be made based on the presentation and the discussion. The Best Paper Award will be a certificate and a prize money of 500 Euro for the research team. Tutorials ----------------------------------------- Data Mining Tutorial Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, http://www.data-mining-forum.de/t_dm.php Case-Based Reasoning Tutorial Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, http://www.data-mining-forum.de/t_cbr.php Intelligent Image Interpreation and Computer Vision in Mediceine, Biotechnology, Chemistry & Food Industry Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, http://www.data-mining-forum.de/t_iicv.php Workshops (http://www.data-mining-forum.de/workshops.php) ---------------------------------------------------------------- * Intern. Workshop I-Business to Manufacturing and LifeScience B2ML 2017 * Intern. Workshop on Data Mining in Marketing DMM 2017 * Intern. Workshop Case-Based Reasoning CBR-MD 2017 * Intern. Workshop on Multimedia Forensic Data Analysis MFDA 2017 Exhibition ----------- 16th Industrial Exhibition on Intelligent Data and Image Analysis IEDA 2017 We like to invite you to present your company or publishing house at the Industrial Exhibition ieda 2017 (www.iedaexhibition.de) If you do not with to receive the newsletter, please press here http://ibai-institut-newsletter.de/cgi-bin/mail/manager.cgi? action=delete&email=pperner%40ibai-institut.de&group1=cbr.

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Postdoc Position in Theoretical and Computational Neuroscience at UT Austin
by Taillefumier, Thibaud O Dec. 23, 2016

Dec. 23, 2016

The Neuroscience Department invites applications for a postdoctoral research position to work with Professors Ila Fiete (http://clm.utexas.edu/fietelab/) and Thibaud Taillefumier (https://mathneuro.cns.utexas.edu/) in the Center for Theoretical and Computational Neuroscience (CTNC) and in collaboration with a network of experimental collaborators at UT Austin. Research at CTNC broadly aims at developing new theoretical approaches to better understand how the brain computes. Candidates with a background in nonlinear dynamics, statistical physics, machine learning, or information theory are particularly welcome. Applicants should have a PhD in mathematics, physics, computational neuroscience or related computational fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for three letters of recommendation to be sent. All application materials as well as any inquiries should be sent to thibaud(a)utexas.edu<mailto:thibaud@utexas.edu> and ilafiete(a)mail.clm.utexas.edu<mailto:ilafiete@mail.clm.utexas.edu>. Salary starts at $47484 and will be commensurate to the candidate qualifications. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. Department of Neuroscience The University of Texas at Austin 100 E 24th Street Stop C7000 Austin, TX 78712 www.neuroscience.utexas.edu<http://www.neuroscience.utexas.edu>

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Open position as an MEG physicist/engineer
by Jochem Rieger Dec. 22, 2016

Dec. 22, 2016

The newly founded Neuroimaging Center at the European Medical School of the University of Oldenburg, Germany, offers a position for an *MEG-Physicist/Engineer (salary level E13/TV-L, initially 3 years) * The Neuroimaging Center hosts a state of the art magnetoencephalograph (Elekta Triux) and a magnetic resonance tomograph (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment (e.g. the DFG Cluster of Excellence "Hearing 3 All") with a strong research focus on neurosensory, neurocognitive, and medical research. We seek for a highly motivated candidatewith an academic university degree. The position requires a degree in physics, engineering, neuroscience, or psychology with documented research experience in magnetoencephalography methods. In addition, fluency in English is necessary. A doctoral degree is a plus. German and experience in the design of neurocognitiveexperiments are desirable. Successful candidates will be responsible for the operation and administration of the MEG-system, the infrastructure, the development and improvement of measurement and analyses techniques and user consultancy. The University of Oldenburg is rapidly growing and offers a vibrant scientific environment with strong foci on cognitive and sensory neuroscience and a new medical school. The European Medical School is a cooperation project between the Universities of Oldenburg and Groningen as well as four local hospitals. Oldenburg is an attractive city in Germany's northwest with excellent quality of life. It is close to Bremen, Hamburg, Groningen, and approx. 1 h from the North Sea. The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply and will be given preference in cases of equal qualification. Handicapped applicants will be given preference if equally qualified. Electronic applications (one pdf file) are preferred and can be send to: Professor Dr. Jochem Rieger: Jochem.rieger(a)uni-oldenburg.de Applications by mail should be sent to: Prof. Jochem Rieger Universität Oldenburg Kuepkersweg 74 (W30) 26129 Oldenburg Germany The application process is open until 31.1.2017. Applications should include your CV, a list of most recent publications, and a statement of interest (max. 3 pages). For inquiries contact jochem.rieger(a)uni-oldenburg.de

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PhD studentship in 2P imaging and population coding
by Matthias Hennig Dec. 22, 2016

Dec. 22, 2016

A fully funded PhD studentship is available in the Precision Medicine DTP at Edinburgh: "Deficits and rescue of neuronal population coding in the sensory cortex of mouse models of autism spectrum disorders" This project will be jointly supervised by Nathalie Rochefort, Peter Kind (CIP, Edinburgh) and Matthias Hennig (Informatics, Edinburgh). The studentship is available to EU citizens. For more information, and to apply, go to: http://www.ed.ac.uk/usher/precision-medicine/how-to-apply/deficits-and-resc… For informal inquiries, please contact Nathalie Rochefort: n.rochefort(a)ed.ac.uk -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Call for applications: SMART START - a joint training program in Computational Neuroscience for young researchers
by Smart Start Coordination Office Dec. 22, 2016

Dec. 22, 2016

Call for applications Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the second round in the winter term 2017/18. The Deadline for application is Tuesday, February 28, 2017. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de/> Best regards, Kathrin Hebert -- Smart Start - Joint Training Program in Computational Neuroscience Coordination Office Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart(a)fz-juelich.de<mailto:k.hebert@fz-juelich.de> web: http://www.smartstart-compneuro.de/ Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…><https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Announcing Okinawa/OIST Computational Neuroscience Course 2017
by Erik De Schutter Dec. 22, 2016

Dec. 22, 2016

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2017 Methods, Neurons, Networks and Behaviors June 26 to July 13, 2017 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 26th through July 13th, 2017 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 3 - February 5, 2017. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Bard Ermentrout (University of Pittsburgh, USA) • Ila Fiete (University of Texas Austin, USA) • Sonja Grün (Research Centre Jülich, Germany) • Shin Ishii (Kyoto University, Japan) • Jason Kerr (MPI Bonn, Germany) • Bernd Kuhn (OIST) • Subkin Lim (NYU Shanghai, China) • Michele Migliore (Institute of Biophysics, Italy) • David Redish (University of Minnesota, USA) • Reza Shadmehr (Johns Hopkins University, USA) • Greg Stephens (OIST) • Yoko Yazaki-Sugiyama (OIST) • Charles Wilson (University of Texas San Antonio, USA)

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[ECSQARU 2017] Second Call for Papers
by Alessandro Antonucci Dec. 21, 2016

Dec. 21, 2016

The Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty SECOND CALL FOR PAPERS http://ecsqaru.idsia.ch The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), and Compiègne (2015). ECSQARU 2017 will be co-located with ISIPTA '17, the Tenth International Symposium on Imprecise Probability: Theories and Applications. The joint event will be held in Lugano (Switzerland), on July 10-14, 2017. ::: SCOPE ::: For ECSQARU 2017 we invite submissions of conference papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief revision & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: INVITED SPEAKERS ::: We are delighted of having the following invited speakers: - Leila Amgoud (IRIT, France) - Alessio Benavoli (IDSIA, Switzerland) - Jim Berger (Duke University, USA) - Didier Dubois (IRIT, France) - Eyke Hüllermeier (Paderborn University, Germany) ::: PROCEEDINGS AND SUBMISSIONS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2015 will be published in the Springer Lecture Notes in Artificial Intelligence series. Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Authors of accepted papers are expected to attend the conference to present their work. The instructions for submission and the author kit are available here: http://ecsqaru.idsia.ch/submissions-ecsqaru/ ::: IMPORTANT DATES ::: - Tuesday, February 21, 2017: Paper submission deadline - Tuesday, April 18, 2017: Author notification - Friday, April 28, 2017: Camera-ready copy due ::: IJAR SPECIAL ISSUE ::: Authors of selected papers will be invited to submit an extended version of their work to a special issue of the International Journal of Approximate Reasoning (IJAR, Elsevier). ::: SPRINGER YOUNG RESEARCHER AWARD ::: We also invite applications for the Springer Young Researcher Award. The prize, granted by Springer, will be awarded to one young researcher for excellent research in fields related to the ECSQARU scope. The award is open to Master students, PhD students and young post-doc researchers who have received their PhD in 2016 (or 2017). Applicants should have submitted a paper (not necessarily as first authors) to ECSQARU 2017. Applications should be received by the paper submission deadline (February 21, 2017). _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

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Call for Applications: ISSA Summer School 2017
by Yukie Nagai Dec. 21, 2016

Dec. 21, 2016

Call for Applications: ISSA Summer School 2017 https://groups.oist.jp/issa Date: May 22nd – June 2nd, 2017 Venue: Center for Information and Neural Networks (CiNet), Osaka, Japan https://cinet.jp/english/contact/ The Initiative for a Synthesis in Studies of Awareness, ISSA for short, is a group of scientists advocating an integrative approach to the study of consciousness and intelligence. ISSA will organize a two-week Summer School, with lectures covering a variety of topics in experimental and computational neuroscience, cognitive science, philosophy, complex systems, robotics and artificial intelligence. Following the lectures in the morning, students will engage in group disucussions and hand-on exercises in psychophysics, MRI, MEG, and robotics in the afternoon. First week: Fundamental lecturers and group discussions • Christof Koch (Allen Institute for Brain Science) • Ryota Kanai (ARAYA Brain Imaging, YHouse) • Larissa Albantakis (U Wisconsin-Madison) • Dan Zahavi (U Copenhagen) • Jun Tani (KAIST) Second week: Special topics and hands-on exercises • Kaoru Amano (CiNet) • Minoru Asada (Osaka U) • Kenji Doya (OIST) • Piet Hut (Institute for Advanced Study, ELSI, YHouse) • Hiroshi Ishiguro (Osaka U, ATR) • Shinji Nishimoto (CiNet) • Mariko Osaka (CiNet) • Nao Tsuchiya (Monash U) • Noriko Yamagishi (CiNet) Application: We invite graduate students and postdoctoral researchers to participate in the summer school. Organizers will provide lodging for all accepted students and travel support for selected students. The applications will be open till December 25, 2016 from the web site (https://groups.oist.jp/issa) The result of selection, based on the research interest, educational background, and the balance of gender and geographic origins, will be notified by February 2017. Co-Sponsors • Center for Information and Neural Networks (CiNet) • CREST Artificial Consciousness Project (leader: Ryota Kanai) • CREST Social Neuroscience Project (leader: Masahiko Haruno) • Earth-Life Science Institute (ELSI), Tokyo Institute of Technology • KAKENHI Mental Time Project (leader: Shigeru Kitazawa) • KAKENHI Artificial Intelligence and Brain Science Project (leader: Kenji Doya) • Okinawa Institute of Science and Technology (OIST) • YHouse (leaders: Piet Hut and Ryota Kanai) Web site: https://groups.oist.jp/issa Contact: Neural Computation Unit, Okinawa Institute of Science and Technology ncus (at) oist.jp — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

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The Fruit Fly Brain Observatory (FFBO)
by Aurel A. Lazar Dec. 20, 2016

Dec. 20, 2016

We would like to announce that we have released a unique open source platform for investigating fruit fly brain function, in both healthy and diseased brains. Our early version of the FFBO is at: http://fruitflybrain.org <http://fruitflybrain.org/> The Fruit Fly Brain Observatory (i) integrates within a single database, genetic, anatomical, neurophysiological data with computational models. It provides location, morphology, connectivity and biophysical properties of every neuron, (ii) is equipped with powerful executable tools for circuit generation, numerical simulation and user-friendly query and visualization, (iii) automatically generates models of the fly brain that can be simulated efficiently using multiple Graphics Processing Units. There are three main features of the FFBO: NeuroNLP, NeuroGFX and NeuroAPPs. NeuroNLP is natural language user interface for querying the NeuroArch fly brain database. NeuroGFX is a programming interface that automatically translates biological and modeling data into executable code that can be run on a local or cloud-based GPU servers. NeuroAPPs host integrated healthy and diseased models applications of the fruit fly brain. Our project The Fruit Fly Brain Observatory http://fruitflybrain.org <http://fruitflybrain.org/> is one of six finalists in the Open Science Prize Competition https://www.openscienceprize.org <https://www.openscienceprize.org/>. We are a collaborative effort between Columbia University, National Tsing Hua University in Taiwan, and University of Sheffield, UK. It would be great if you can let people know about the competition and get them to hopefully vote for us at http://event.capconcorp.com/wp/osp/ <http://event.capconcorp.com/wp/osp/> :-) Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

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[CALL FOR PAPERS ]The 2017 International Conference on Brain Informatics (BI'17)
by 张铁林 Dec. 19, 2016

Dec. 19, 2016

[CALL FOR PAPERS]The 2017 International Conference on Brain Informatics (BI'17), Informatics Perspective of Investigation on the Brain and Mind Conference Data: November 16-18, 2017, Beijing, China Conference Homepage: http://bii.ia.ac.cn/bi-2017/ Homepage Mirror: http://wi-consortium.org/conferences/bi-2017/ (FULL PAPER SUBMISSION DEADLINE: April 2, 2017) ================ ***Conference Introduction *** Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry or Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible bookpublication in the Springer-Nature Brain Informatics & Health book series. ================ *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing ================ *** Important Dates*** March 10, 2017: Submission for workshop/special-session proposals March 30, 2017: Notification of workshop/special-session proposal acceptance April 2, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ================ *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708) Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ================ *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ================ *** Organizers*** General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng(Chinese Academy of Sciences, China) Yong He(Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Tielin Zhang (Chinese Academy of Sciences, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) ================ *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org ================ (END)

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PhD positions at the University of Exeter: Developing gaze training for skilled upper-limb prosthetic use Ref: 2407
by Tsaneva-Atanasova, Krasimira Dec. 17, 2016

Dec. 17, 2016

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. This project is part of a competition for funding. Usually the project which receives the best applicant will be awarded the funding. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the 56 projects advertised we expect that up to 20 posts will be filled. Location: University of Exeter, Streatham Campus, Exeter, Devon Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> (University of Exeter) Co-supervisor: Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> (University of Exeter) Co-supervisor: Dr Greg Wood<http://www.cheshire.mmu.ac.uk/exspsci/ourstaff/profile/index.php?profile_id…> (Manchester Metropolitan University) Co-supervisor: Dr Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> (University of Exeter) Project Description: Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first part of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from project work 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final stage of the project work, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this state of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. The students will be involved in these experiments by running model simulations and data analysis to provide quantitative information for the training protocol as well as focussing on completing the write-up of their PhD thesis. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs.To be eligible for fees only funding you must be ordinarily resident in a member state of the EU Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Number of awards: 1 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year Duration of award: per year Contact: Doctoral College Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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PhD positions at the University of Exeter: Controlling noise effects in models of excitable cells
by Tsaneva-Atanasova, Krasimira Dec. 17, 2016

Dec. 17, 2016

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> (University of Exeter) Co-supervisor: Dr Joël Tabak<http://medicine.exeter.ac.uk/about/profiles/index.php?web_id=Joel_Tabak-Szn…> (University of Exeter) Location: University of Exeter, Streatham Campus, Exeter, Devon Project Description: This is a project that combines biological modelling and general mathematical analysis of the influence of noise on multiple-timescale systems. It will give the student the opportunity to work on open mathematical questions and see their results applied in experiments on living cells. Many types of cells such as neurons, heart and hormone-releasing cells generate impulses of electrical activity, organized as single spikes or bursts of impulses. In cells of the pituitary gland – the master hormonal gland of the body – the features of electrical activity patterns determine how much hormone is released into the circulation. Hence, understanding how the characteristic features of electrical activity arise is crucial to understanding how these cells function, and how they may malfunction in disease. Mathematical modelling and analysis techniques have proven very successful in helping unravel fundamental mechanisms controlling the behaviour of excitable cells. Electrical activity is driven by the interactions between ion channels of the cell membrane, which produce noisy electrical currents. The mathematical models of electrical activity thus contain random and deterministic parts, which typically appear as separate terms (e.g., the deterministic drift and the Brownian-motion induced diffusion in stochastic differential equations). In experimental practice this distinction is not as clear. For example, ion channels in cells with electrical activity generate noisy signals, driving systematically the electrical and chemical activity in the cell, which operate also on several time scales. It is still unclear how this randomness influences electrical activity in real cells. This PhD project will investigate how one can use control to identify the systematic (deterministic) component of trajectories in dynamical systems with random inputs (such as ion channel noise) that operate on two or three different time scales (such as spiking or bursting cells). A first goal to separate a systematic, approximately periodic, signal without knowledge of the period using control and geometric methods in a reconstructed phase space. Preliminary investigations with noise on a single time scale interacting with a two-timescale oscillation (spiking) have shown that this is in principle possible. It is an open question how this can be generalized to periodic behaviours with a more complicated geometry (such as bursting), interacting with noise effects that occur on two time scales. Another open question is how the geometric control and noise identification is related to extended time-delayed feedback, which creates a reference signal from a geometric time series of past outputs. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes; however up to 9 fully-funded studentships across the DTP are available for EU/EEA applicants not ordinarily resident in the UK. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year. Duration of award: per year Contact: Doctoral College: 01392 722737 doctoral.college(a)exeter.ac.uk<mailto:doctoral.college@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics Living Systems Institute University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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CfP: 18th Int. Conf. on Engineering Applications of Neural Networks
by Simone Scardapane Dec. 16, 2016

Dec. 16, 2016

[Apologies if you receive multiple copies of this CFP] -------------------------------------------------------------------------- 18th Int. Conf. on Engineering Applications of Neural Networks EANN 2017 (Athens, Greece, August 25-27, 2017) Workshop submission deadline: 11th February, 2017 Paper submission deadline: 20th April, 2017 https://conferences.cwa.gr/eann2017/ -------------------------------------------------------------------------- Call for Papers -------------------------------------------------------------------------- Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere in ALL ARTIFICIAL INTELLIGENCE TOPICS! Papers should be no longer than 10 pages formatted according to the LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory. Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER CCIS “Communications in Computer and Information Science” and they will be available on site. It is important though to follow the instructions in this page to ensure that your paper will be included in the proceedings. Call for Workshops -------------------------------------------------------------------------- Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panelists who have made a commitment to participate. https://conferences.cwa.gr/eann2017/call-for-workshops/ Areas of interest: https://conferences.cwa.gr/eann2017/areas-of-interest/ Important dates -------------------------------------------------------------------------- * Tutorial and workshops proposals: February 11th, 2017 * Notification of tutorial and workshops proposals: February 12th, 2017 * Paper submission: April 20th, 2017 * Notification of paper acceptance: May 13th, 2017 * Conference Dates: 25-27 August, 2017

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Call for Workshops - Bernstein Conference 2017
by Zrinka Gattin Dec. 14, 2016

Dec. 14, 2016

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** *Important Dates:* _Workshops: _September 12 - 13, 2017 _Main Bernstein Conference:_ September 13 - 15, 2017 _Deadline for proposal submission:_ March 01, 2017 _Notification of workshop acceptance:_ March 27, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. _Workshop time frame:_ September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops *Deadline for submission of Workshop proposals: March 01, 2017* Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(at)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail: zrinka(a)nld.ds.mpg.de

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Organization for Computational Neurosciences (OCNS) - CNS2017 Meeting in Antwerpen (Belgium) - July 15-20, 2017
by Giugliano Michele Dec. 14, 2016

Dec. 14, 2016

Dear Colleagues, apologies for cross postings. I bring to your attention the announcement of the CNS<http://www.cnsorg.org/cns-2017>2017 <http://www.cnsorg.org/cns-2017> Meeting<http://www.cnsorg.org/cns-2017>, organised at the University of Antwerpen, by myself and Daniele Marinazzo. Please circulate it at your convenience and/or print and stick the A4 poster (download it here<https://www.dropbox.com/s/5yclp8dyspgnmu6/CNS2017_A4Poster.jpg?dl=0>) to the door of your office, library, campus, etc. Organization for Computational Neurosciences (OCNS), 26th Annual Meeting, Antwerpen, Belgium, July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece and chair of FENS-Kavli network of excellence Fernando Lopes Da Silva, University of Amsterdam, The Netherlands Anne Churchland, Cold Spring Harbour Lab, USA Registration will open on January 11, 2017. Abstract submission will open on January 12, 2017 and close on March 5. Workshop proposals are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2017 ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org — Michele GIUGLIANO, PhD Dept. of Biomedical Sciences University of Antwerp B-2610 Wilrijk - Belgium www.uantwerpen.be/michele-giugliano<http://www.uantwerpen.be/michele-giugliano>

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Vacancy: Three Positions in the Dutch Research Consortium "Language in Interaction".
by Verhoef, J.P. (Julia) Dec. 12, 2016

Dec. 12, 2016

Three Positions in the Dutch Research Consortium 'Language in Interaction' (1,0 fte) [Logo NWO][Logo]Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.10.16 Application deadline: Jan 29, 2017, 23:59 CET Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. Currently, our consortium advertises 1 Postdoc and 2 Research Assistant positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the advertised positions<https://www.languageininteraction.nl/bqpositions.html>. Work environment The Netherlands has an outstanding track record in the language sciences. The research consortium 'Language in Interaction', sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? Successful candidates will be appointed at one of the consortium's home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. Detailed information on: www.languageininteraction.nl/bqpositions.html<http://www.languageininteraction.nl/bqpositions.html> General requirements for all positions are: · a degree in one of the fields indicated for the positions; · strong motivation; · excellent proficiency in written and spoken English. What we have to offer · employment: 1,0 fte; · you will be appointed at one of the consortium's home institutions, depending on the position applied for; · Terms of employment depend on the embedding institution. · Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance. Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium<https://www.languageininteraction.nl/>. Further information on: the different positions<http://www.languageininteraction.nl/bqpositions.html>, including terms of employment and contacts Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) using the button 'Apply'. Your application should include (and be limited to) the following attachments: · a cover letter quoting at the top the number (BQ1N or BQ4RA) of the position you apply for, · your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before Jan 29, 2017, 23:59 CET. For more information on your application: +31 24 3611173. Big Question 1 Scientific summary The big question this project addresses is how to use computational modeling to link levels of description, from neurons to cognition and behavior, in understanding the language system. We focus on the mental lexicon and aim to characterize its structure in a way that is precise and meaningful in neurobiological and (psycho)linguistic terms. Our overarching goal is to devise causal/explanatory models of the mental lexicon that can explain neural and behavioral data. This will significantly deepen our understanding of the mental lexicon, lexical access, and lexical acquisition. Postdoc Position - BQ1N Neurobiologically realistic models of the mental lexicon Content description You will participate in a team effort to understand the computational neurobiology underlying language by means of recurrent networks of spiking neurons (RNN) for sentence processing. The goal is to develop an RNN model of the long-term storage and retrieval of lexical items and their associated structural and semantic properties (Mental Lexicon), encoded into high-dimensional feature vectors. Core objectives are to understand the nature of these lexical representations, how they are linked to relevant retrieval cues, and how this system is acquired based on local, unsupervised, neurobiological plasticity principles (e.g., spike-timing dependent plasticity, homeostatic plasticity, synaptic consolidation). This memory network will interface with a network for online sentence comprehension (Unification) that is currently being developed in the Neurobiology of Language Department (MPI). In this combined architecture it will be investigated to what extent structured word representations delivered by the mental lexicon are suitable for incremental, combinatorial processing and what-conversely-the influence of sentence context is on lexical retrieval. Model building will be supplemented by the development of analytic techniques to measure memory capacity and dynamic stability, and methods to discover hidden representational structure in neuronal assemblies. Requirements You should have · A PhD degree (or equivalent) on the computational modeling of language processing/acquisition with a background in mathematics, physics, computer science, or other relevant fields of study. · A strong background in psycholinguistics as well as computational neuroscience is required. This includes detailed knowledge of neuronal dynamics, synaptic plasticity, and neurobiological principles for learning. · Expertise on mathematical models of neural networks, dynamical systems, and the analysis of neuronal activity is highly valued. · Extensive experience in scientific computing, including numerical methods, large-scale simulations, and data-science approaches. Programming experience especially in languages such as Matlab and Python is required, knowledge of simulation tools like NEST is desirable. · Experience with concepts and methods for statistical analysis, and with state-of-the-art techniques for data visualization. · An active interest in brain physiology, memory research, and computability theory. · Affinity with cognitive neuroscience, machine learning, and fundamental issues in theoretical linguistics is desirable. · Experience with designing and supervising PhD projects and have a proven ability to work in an interdisciplinary team, with strong communication skills in an international work environment. · The ability to work independently, organize and lead group meetings, compose research reports regularly, and present results to a wide scientific audience. · Fluency in English, spoken and written, is a must. Knowledge of Dutch is desirable but not mandatory. Embedding and Terms of employment This position will be held at the Max Planck Institute for Psycholinguistics, Nijmegen. * Employment: 1,0 fte; · Starting salary will be based on Tarifvertrag im Öffentlichen Dienst E13 Stufe 1 (TVöD Bund). Final scaling dependant on experience; · In addition to the salary: an 8% holiday allowance · The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. Contact information Dr. Karl Magnus Petersson (Karl-Magnus.Petersson(a)mpi.nl<mailto:Karl-Magnus.Petersson@mpi.nl>) and Prof. Peter Hagoort (Peter.Hagoort(a)mpi.nl<mailto:Peter.Hagoort@mpi.nl>) Big Question 4 Scientific summary We aim to characterize variation in language processing and learning skills and to determine how these variations relate to variations in the underlying biology of individual participants. The project has two strands: Strand A focuses on language processing skills in young adults, and Strand B on language learning skills in children and adults. Strand A will develop a comprehensive battery of language tasks targeting sound, meaning, and grammatical processing of words and longer utterances during speaking and listening. In addition, tasks will be selected or developed assessing general cognitive skills that are likely to affect performance in language tasks. Strand B uses variability in learning ability to investigate why second-language (L2) acquisition can become harder in adulthood. Two Research Assistant Positions - BQ4RA Content Description You will work primarily in Strand A of the project. You will be involved in the development of the tests items (e.g., generation of stimuli, adaptation of English tests for use in Dutch, preparing the presentation of the items in existing software packages), data analysis and archiving. Your main duties will, however, be to schedule and test participants in the lab in Nijmegen and in schools in various locations in the Netherlands. Requirements You should minimally have a BA degree (or equivalent) in Psychology, (Special) Education , or another relevant field of study. You must have native or near native knowledge of Dutch and good knowledge of English. Good IT skills would be highly valued. Most importantly, you should have good communicative and organizational skills and feel comfortable interacting with young persons, individually and in groups. Some experience in teaching, therapy, or tutoring would be useful. Applications from excellent candidates with a less than ideal profile will be equally considered. Embedding These positions will be held at the Max Planck Institute for Psycholinguistics, Nijmegen. * Employment: 1,0 fte; * Starting salary will be based on Tarifvertrag im Öffentlichen Dienst E9b Stufe 1 (TVöD Bund); · In addition to the salary: an 8% holiday allowance; · The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. Contact information Prof. Antje S. Meyer (antje.meyer(a)mpi.nl<mailto:antje.meyer@mpi.nl>) and Prof. James McQueen (j.mcqueen(a)donders.ru.nl<mailto:j.mcqueen@donders.ru.nl>)

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vacancy for female tenure track assistant professor at University of Groningen (Artificial Intelligence)
by Marieke van Vugt RUG Dec. 10, 2016

Dec. 10, 2016

There are 5 tenure track positions available for female candidates in the Faculty of Science and Engineering, of which one will be placed in the Department of Artificial Intelligence. This department has a very broad interpretation of artificial intelligence, with expertise ranging from cognitive science to robotics and machine learning. We have a particular interest in model-based neuroscience and neuromorphic computing. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… Rosalind Franklin Fellowships at the Faculty of Mathematics and Natural Sciences (216337-41 RFF) Organisation The Faculty of Mathematics and Natural Sciences is home to a kaleidoscopic range of disciplines and research strengths. Our teaching and research programmes range from nanomaterials to engineering, from pharmacy to ecology, and from computer science to astronomy. Our researchers investigate fundamental key questions while collaborating with partners from industry, the medical world and other social sectors. Frontline research groups explore new fields such as synthetic biology and sustainable energy use. The Faculty place a high priority on the international dimension of teaching and research and has a long history of stimulating, initiating and carrying out multidisciplinary and internationally oriented research. The Faculty has 40 Bachelor’s and Master’s degree programmes, 35 of which are English-taught, attracting students from all over the world. Job description The University of Groningen initiated the prestigious Rosalind Franklin Fellowship programme to promote the advancement of talented international researchers at the highest levels of the institution. The ambitious programme has been running at the Groningen Faculty of Mathematics and Natural Sciences since 2002 and at the University as a whole since 2007. The Rosalind Franklin Fellowship programme is aimed at women in industry, academia or research institutes who have a PhD and would like a career as full professor in a European top research university. The Fellowship is only awarded to outstanding researchers. Successful candidates will be expected to establish an independent, largely externally funded research programme in collaboration with colleagues at our Faculty and elsewhere. They will also be expected to participate in and contribute to the development of the teaching programme of their discipline. The University of Groningen has 13 tenure track positions available in this programme, currently co-funded by the European Union. We invite ambitious female academics to apply for these positions. Under European jurisdiction it is lawful to specifically recruit underrepresented groups. Five RFF positions In the next round of Rosalind Franklin Fellowships, the Faculty of Mathematics and Natural Sciences has five Rosalind Franklin Fellowships to offer in the disciplines: Fundamental Computer Science (Data Management, Theory of Computing, Algorithms, Networks, Security) Fundamental Mathematics (Algebra, Geometry, Analysis), Mathematical Data Analysis, Complex Systems Mechanical Engineering (field of dynamics and vibrations, optomechatronics, or other fields relevant for advanced instrumentation) Artificial Intelligence (logic, neuromorphic computing, cognitive modelling or robotics) Bioinformatics (complex biological systems, genome analyses, metagenomics and microbiology, host-microbe biology, new computational algorithms and methods). Qualifications • PhD degree for at least 3 years on reference date 1 February 2017 • exemplary research record demonstrated by publications in international top journals and/or in peer-reviewed books • proof of independence and international recognition • experience in various working environments in different countries • successful in acquiring external funding for research projects • teaching experience or proven inclination for teaching demonstrated by tutoring/mentoring of individuals or small groups • demonstrable organizational qualities and communication skills • a well-founded and motivated application with an innovative research plan for the first five years and a challenging outlook for the future which takes into account the international research landscape in their field of specialization • must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately prior to the reference date of 1 February 2017. Please check whether you are eligible to apply by doing the eligibility check: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/ <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/> Additional requirements In addition to the University’s general requirements for the fellowships, the Faculty of Mathematics and Natural Sciences has the following additional requirements: • at least two years of postdoctoral experience, preferably in various research institutions (Dutch applicants should have at least two years of postdoctoral experience outside The Netherlands) • experience in supervising research projects • the candidate must have the potential to develop into a leader who guides and inspires • the proposed research should be complementary and of added value to the research areas currently represented within the Faculty. Conditions of employment The University of Groningen offers a starting salary for the Rosalind Franklin Fellow/assistant professor, dependent on qualifications and relevant work experience, of a minimum of € 3,427 gross per month (salary scale 11 Dutch Universities) up to a maximum of € 5,330 gross per month (salary scale 12) for a fulltime position. The salaries include an 8% holiday allowance, an 8.3% end-of-year bonus and participation in an employee pension scheme. The conditions of employment comply with the Collective Labour Agreement for the University of Groningen. The appointment of a Rosalind Franklin Fellow/assistant professor will be on a temporary basis for a maximum of 6 years. After 5 years of employment, there will be an assessment of performance based on established criteria including research and teaching qualifications. If the outcome of the assessment is positive, the assistant professor will be promoted to the rank of associate professor with tenure. At the end of a further 4-7 year period, there will be another assessment aimed at promotion to full professor. Please visit our webpage for more information about conditions of employment: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/condi… <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/condit…> Application You may apply for this position until 31 January / before 1 February 2017 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website). Applicants should submit: 1. A full curriculum vitae including a complete list of publications (file 1) 2. A letter of motivation (file 2) 3. A 3-5 page statement of research accomplishments and future research goals (file 3) 4. A list of five selected ‘best papers’ (preferably including copies) (file 4) 5. the names and contact information (including email address) of 3 referees (file 5). The application files should be sent electronically in PDF format. Applications with missing credentials will not be taken into consideration. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

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Postdoctoral Scholar - Sensorimotor Integration and Sensorimotor Learning for Speech Production
by Emre Neftci Dec. 8, 2016

Dec. 8, 2016

A Postdoctoral Scholar position in the areas of sensorimotor integration and sensorimotor learning for speech production is available in the Auditory & Language Neuroscience Lab (PI Greg Hickok; http://sites.uci.edu/alns/) and the Neuromorphic Machine Intelligence Lab (PI Emre Neftci; http://nmi-lab.org/) in the Department of Cognitive Sciences at the University of California, Irvine. Description of Duties: The research involves developing neurally feasible computational models of speech production that is integrated with and informed by ongoing work on speech production using a wide range of methods including functional imaging, lesion, and intracranial electrocorticography (ECoG) and stimulation mapping. Salary and benefits: This position is full-time and includes benefits. Salary is commensurate with experience. Qualifications: The successful candidate must possess a Ph.D. (by the start of the appointment) in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering, and must have expertise in computational neuroscience and/or machine learning. The position is anticipated to begin in late 2016 or early 2017 for one year with an additional one-year reappointment possible contingent upon satisfactory performance and productivity. We seek a candidate with excellent verbal and written communication skills who is strongly motivated and has substantial computer programming experience – the labs rely heavily on MATLAB, R, Psyscope/Psychtoolbox and Python. Working knowledge of artificial and spiking neural networks is a plus. Application Procedure: Interested candidates should submit a cover letter (describing their research experiences, interests, and goals,), a CV, and the names and contact information of three references at: https://recruit.ap.uci.edu/apply/JPF03744 For more information about this position, please contact Dr. Greg Hickok (greg.hickok(a)uci.edu) or Dr. Emre Neftci (eneftci(a)uci.edu) The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. -- Emre Neftci, PhD (ETH Zurich), Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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Postdoc position in systems neuroscience
by Shuzo Sakata Dec. 6, 2016

Dec. 6, 2016

Applications are invited for a postdoctoral research associate position in the group of Dr Shuzo Sakata in Strathclyde Institute of Pharmacy and Biomedical Science at University of Strathclyde, Glasgow, UK. This position is funded by the Leverhulme Trust. Mission of our research team is to understand state-dependent information processing in the brain at the level of neural circuits. This project particularly concerns the function of dream sleep. Taking multidisciplinary approaches, we will investigate the function of sub-second brain waves during REM sleep in rodents. Candidates should have a PhD or EngD in the field of neuroscience or related disciplines, including engineering and physics. Experience in at least one of the following areas is desirable: behavioural neuroscience, in vivo neurophysiology and computational neuroscience. Experience with quantitative skills for neurophysiological data analysis would be advantageous. Applicants should send (1) a CV and (2) a summary of their specific interests in our research programs to Dr. Shuzo Sakata, email: shuzo.sakata(a)strath.ac.uk. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

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Post-doctoral Fellow in Human Intracranial Physiology at NIH
by Zaghloul, Kareem (NIH/NINDS) [E] Dec. 5, 2016

Dec. 5, 2016

Hi, I would like to post following ad for a post-doctoral fellow on the comp-neuro list serv. Thank you, Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 A full-time post-doctoral position focused on understanding the neural correlates of human cognitive function is available in the Surgical Neurology Branch of the National Institute of Neurological Disorders and Stroke at the NIH. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electro corticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human memory and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer.

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Postdoctoral Fellowship in Theoretical/Computational Neuroscience
by Paul Miller Dec. 2, 2016

Dec. 2, 2016

Brandeis University invited applications for a postdoctoral fellowship in theoretical/computational neuroscience. The successful applicant will be expected to work on a project related to the current research interests of faculty associated with the Sloan-Swartz Center for Theoretical Neuroscience at Brandeis (see http://www.bio.brandeis.edu/sloan/ and http://www.bio.brandeis.edu/faculty/list_programNeuro.html) Example research areas include: Decision making; Short-term memory; Robustness and stability of small circuits; Cellular mechanisms of homeostasis; Attractor-state computing; Plasticity and development of cortical circuits. Candidates should have a Ph. D. in one of the Physical Sciences or Neuroscience, a demonstrated ability in scientific computation, a solid foundation in calculus and differential equations, and a strong interest in neuroscience. Prior training and experience in neuroscience is desirable, though we accept those candidates new to the field who are willing to commit to the intense and extensive training available here. Brandeis has a small, but strong neuroscience program (4 National Academy members) with significant expertise in systems neuroscience. Brandeis is located in Eastern Massachusetts, about 8 miles from Boston/Cambridge. All interested candidates should send a C.V., with the name and contact details of three or more references, and a paragraph indicating their career plans and research interests, by email to: pmiller(a)brandeis.edu. Please include in the subject line the phrase "Postdoc Application".

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Postdoctoral Positions available in Computational and Cognitive Neuroscience
by Jonathan Nicholas Dec. 1, 2016

Dec. 1, 2016

Postdoctoral Fellowship in Computational Modeling of Brain Networks The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in brain network modeling and analysis. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state fMRI, DTI, functional and structural brain connectivity analysis, and network modeling. This is an exciting opportunity to work on NIH- and NSF-funded projects using computational, network modeling and multimodal (fMRI, DTI, EEG) brain imaging techniques. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and computational facilities. Strong programming skills and previous experience with DTI analysis are desirable. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Postdoctoral Fellowship in Developmental Cognitive Neuroscience The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in developmental cognitive neuroscience. We seek candidates with strong research backgrounds in one or more of the following areas: typical and atypical neurocognitive development, learning disabilities (dyscalculia and dyslexia), autism, numerical cognition, cognitive training, and brain network development. This is an exciting opportunity to work on NIH-funded projects using behavioral, computational, and multimodal (fMRI, MRI, DTI) brain imaging techniques. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging facilities and computational resources. Candidates must have a PhD and relevant research experience in cognitive neuroscience, cognitive science, psychology or related fields. Strong expertise in fMRI data analysis and computational skills are highly desirable. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Teresa Iuculano at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>.

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Postdoctoral Position in Machine Learning and Neuromodulation
by Babak Mahmoudi Dec. 1, 2016

Dec. 1, 2016

A Postdoctoral position is available at Emory University School of Medicine on developing novel neuromodulation therapies for epilepsy and memory. The research and training is focused on developing Big Data analytic tools and machine learning algorithms for the optimization of neuromodulation therapies. The successful candidate will collaborate with scientists and clinicians in the Departments of Biomedical Informatics, Neurosurgery, Neurology and Biomedical Engineering at Emory University and Georgia Tech, Grenoble University at France, and medical device industry partners. The ideal candidate will have a PhD in Computer Science, Biomedical Engineering, Computational Neuroscience or related fields with a strong background in machine learning, optimization theory, multivariate analysis and signal processing. Programming skill sets in Matlab and other languages (e.g., C++ and python) would be key to a successful candidate. Inquiries should be addressed to Babak Mahmoudi (b.mahmoudi(a)emory.edu) The position begins in January 1st but the start date is negotiable. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Please send applications including a CV, statement of research interests, and the names and full contact details of three references to b.mahmoudi(a)emory.edu

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Researcher position at ATR Brain Labs (Kyoto, Japan)
by Haruo HOSOYA Dec. 1, 2016

Dec. 1, 2016

Dear all, ATR Brain Labs in Kyoto, Japan has two open positions in computational visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories Open researcher positions at ATR Brain Labs., Kyoto, Japan ============================================ Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers in computational visual neuroscience. Our institute has a long tradition in computational neuroscience and has recently been promoting theoretical studies of hierarchical vision models based on statistical learning theory (a.k.a. deep learning), with the emphasis on the bidirectional (feedforward and feedback) computation in the visual cortex. We seek for autonomous and motivated applicants who are interested in working on this research theme in collaboration with our research group. Haruo Hosoya, Ph.D. Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan 2016, December Project outline --------------------- It is well known that, in the visual cortex, a number of visual areas form a hierarchy with low-level to high-level feature representations, and perform bidirectional interactions through the feedforward and feedback circuitry. Such bidirectional computation has conventionally been considered to play roles in visual perception, imagery, information completion, selective attention, etc. However, our research group is considering that bidirectional computation may be far more essential in the visual system than previously thought. For example, we have recently released a theoretical model that proposes a potential role of bidirectional computation in visual representations of objects and facts in the higher visual cortex (http://dx.doi.org/10.1101/086637) We will continue to pursue other roles of the bidirectionality in various visual functions of the brain through developing new computational models based on learning theory and evaluating their visual processing capability, performance, and explainability of neuroscientific data. Furthermore, we are also interested in building a larger-scale hierarchical visual model that integrates various computational models developed in our group as well as pursuing its applicability in realistic problems. More on the project can be seen here: http://www.cns.atr.jp/~hosoya/project_outline.pdf. What's ATR? ------------------ ATR is a private company specialized to basic science founded in 1986. It is renowned for its long and unique tradition of computational neuroscience since the foundation, emphasizing the importance of mathematical understanding of computation in the brain for the technological innovation. Research in ATR is highly international and involves a number of scientists from all over the world for collaboration. The institute is located in Keihanna scientific city surrounded by the second largest city of Japan, Osaka, and two beautiful old capitals of Japan, Kyoto and Nara. Requirements for Researchers ----------------------------------------- Applicants must have a Ph.D. or be expected to get one before starting the job. The applicants are required to show expertise in a mathematical area, as well as strong interest in neuroscience and good programming experience. In particular, expertise in machine learning will be considered important. Additional knowledge in computation vision and computational neuroscience will also be welcome. Number of openings --------------------------- Two Employment conditions -------------------------------- Position : Full-time Researcher Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Application materials ---------------------------- Please submit the following five materials to the contact address below, either in a printed or in an electronic form: • 1 CV • 2 List of publications • 3 Reprints of 1-3 major publications of past projects • 4 Essay (up to two pages in A4 or letter size) describing summary of your previous research, interest in our project, and other skills and experiences potentially useful for research. • 5 Recommendation letters from two or more researchers * If submitted in printed form, original documents will not be returned. Judging system --------------------- After documentary examination, we ask for presentation and interview if needed. Starting date -------------------- Soon (negotiable) Deadline for application --------------------------------- Opens until positions are filled. Contact ----------- Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Use of personal data ---------------------------- All personal data received will be properly managed and only be used for the purpose of recruitment.

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Engineer/Post-doc in Computational Neuroscience
by Irene Yujnovsky Nov. 30, 2016

Nov. 30, 2016

*Engineer/Post-doc in Computational Neuroscience*** *Institute of System Neuroscience (INS**), UMR1106 AMU-Inserm, Marseille, FRANCE*** ** An engineer/post-doctoral position**is open in the Theoretical Neuroscience Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, dynamic system theory) and/or data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience using The Virtual Brain platform and development of clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by December 31^st 2016 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

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Postdoctoral Position: Modeling of aging cortical networks
by Christina M. Weaver Nov. 30, 2016

Nov. 30, 2016

Postdoctoral Position: Modeling of aging cortical networks A postdoctoral research fellowship in computational neuroscience is available to work with Christina Weaver (Dept. of Mathematics, Franklin & Marshall College, Lancaster, PA). The postdoctoral fellow will be a vital member of the interdisciplinary research team led jointly by Dr. Weaver, Dr. Jennifer Luebke (Dept of Anatomy & Physiology, Boston University School of Medicine, Boston MA), and Dr. Patrick Hof (Dept. of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY). The research will explore structural and functional abnormalities of cortical neurons in middle-aged rhesus monkeys, and the extent to which intervention with a powerful antioxidant affects age-related dysfunction. The new postdoctoral fellow will build computational models of small cortical networks, constrained by our recent computational results and empirical studies in the Luebke and Hof laboratories. Our joint publications include: Amatrudo et al., J. Neurosci.(2012), PMID 23035077; Luebke et al., Cerebral Cortex (2015), PMID 24323499 and Rumbell et al., J. Comput. Neuro. (2016), PMID 27106692. The postdoc will travel occasionally to Boston and/or New York City as part of this collaboration. The postdoc will also have funds to support conference travel, professional development, and full access to campus services including F&M's Faculty Center. Applicants should have a strong background or interest in computational neuroscience and have a keen interest in interdisciplinary approaches that integrate modeling, imaging, and physiological experiments in neuroscience research. Initial appointment for this position is for one year, and may be extended contingent upon funding. Review of applications will begin immediately and will continue until the position is filled. Requirements: - PhD or equivalent in computational neuroscience, applied mathematics, or a related field from an accredited institution is required. - Excellent written and verbal communication skills are required. - Experience with differential equations-based mathematical models or automated parameter optimization is required. - Experience with conductance-based modeling of single neurons, or small networks, and/or NEURON compartmental modeling software is preferred. An extended job posting and link to apply is available at https://fandm.interviewexchange.com/jobofferdetails.jsp?JOBID=79194

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Research Fellow Position in Neuroinformatics
by Leon French Nov. 30, 2016

Nov. 30, 2016

The Computational Neurobiology Laboratory at CAMH seeks a postdoctoral fellow to join our efforts to understand brain disease. We focus on mining datasets of connectivity, gene expression and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales, modalities, and species. We seek one postdoctoral fellow interested in bioinformatics and neuroscience. The primary project will be to create, explore, and test methods for mapping many genes across neuroanatomy and brain development. Given the polygenic complexity of mental illness, there are many exciting applications for these methods. Our current applications use genes associated with Parkinson’s disease, aging (collaboration with Dr. Etienne Sibille) and intellectual disability (with Dr. John B. Vincent). In addition to this project, there would be opportunities to pursue other research interests. Some of our frequently used keywords give a good description of our work: neuroinformatics, molecular neuroanatomy, genetics, epigenomics, population neuroscience, transcriptomics, machine learning, text mining, neuroimaging, software development, and connectomics. The ideal candidate should have a PhD in computational biology, bioinformatics, computer science or related field with extensive knowledge in genome-wide data integration. Significant interest in neuroscience and experience working with large datasets are requested. Writing manuscripts and applying for independent grants and fellowships will be strongly encouraged. Highly motivated individuals (Ph.D. and/or M.D.) should submit a curriculum vitae, names of 3 references and a cover letter explaining their interest, and a brief description of research experience. Send information to Leon French at leonfrench+recruit(a)gmail.com You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable and regulatory requirements. This position will be located at 250 College Street, Toronto.

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Poostdoctoral Position - Jorge Riera on Behalf of Dr. Zachary Danziger) (Applied Neural Interfaces)
by Jorge Riera Diaz Nov. 30, 2016

Nov. 30, 2016

POSTDOCTORAL RESEARCH ASSOCIATE POSITION A postdoctoral research position is available to develop validation systems and decoding algorithms for brain-computer interface applications. Investigations will take place at the Applied Neural Interfaces Laboratory in Florida International University's Department of Biomedical Engineering, which is housed in the College of Engineering and Computing. The position entails software development, conducting human behavioral studies, and algorithm design with the goal of advancing the frontiers of brain-computer interface research and understanding the relationship between human users and adaptive controllers. The postdoctoral scholar will be expected to lead experiment design and data analysis efforts as well as participate in guiding the overall intellectual direction of the project. The position will allow the postdoctoral researcher the opportunity to creatively develop new solutions to challenging problems related to the neuroscience of braincomputer interfaces using state-of-the-art algorithms, advanced computing equipment, and virtual reality hardware. Applicants should have a Ph.D. in biomedical engineering, neuroscience, or a related field and have experience with MATLAB. For information about related projects see: https://anil.fiu.edu/ Qualified candidates are encouraged to apply to Job Opening ID 512642 at facultycareers.fiu.edu or directly to the Principal Investigator, Dr. Zachary Danziger (Zachary.Danziger(a)fiu.edu) with a letter of interest, curriculum vitae, and the names and contact information for at least 3 references. To receive full consideration, applications and required materials should be received by December 30th. Review will continue until position is filled. FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Florida International University is classified by Carnegie as a R1: Doctoral Universities - Highest Research Activity and recognized as a Carnegie engaged university. It is a public research university with colleges and schools that offers 196 bachelor's, master's and doctoral programs in fields such as engineering, computer science, international relations, architecture, law and medicine. As one of South Florida's anchor institutions, FIU contributes almost $9 billion each year to the local economy. FIU is Worlds Ahead in finding solutions to the most challenging problems of our time. FIU emphasizes research as a major component of its mission. FIU has awarded more than 220,000 degrees and enrolls more than 54,000 students in two campuses and three centers including FIU Downtown on Brickell, FIU@I-75, and the Miami Beach Urban Studios. FIU's Medina Aquarius Program houses the Aquarius Reef Base, a unique underwater research facility in the Florida Keys. FIU also supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and has more than 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/. Jorge Riera, PhD Associate Professor Dept. Biomedical Engineering Florida International University Miami, FL 33174 Tel. 305 348 4948 Email. jrieradi(a)fiu.edu<mailto:jrieradi@fiu.edu>

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Workshop on Tactile coding and neuroprostheses
by Alberto Mazzoni Nov. 30, 2016

Nov. 30, 2016

Dear all, the workshop on tactile coding taking place in the The Biorobotics Institute of the Scuola Superiore Sant'Anna in the next two days (see below) will be available for streaming on the Facebook page of the Institute https://www.facebook.com/istitutobioroticascuolasuperioresantanna/ the full program is now available in .pdf form here sssa.bioroboticsinstitute.it/events/TFN2016 ----------------------------------------------------------------------------------------------- *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Systèmes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni(a)sssup.it <a.mazzoni(a)sssup.it>)* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / École polytechnique fédérale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)—Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM.

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Job Opening: Computational Neuroscience Research Assistant
by Jonathan Nicholas Nov. 29, 2016

Nov. 29, 2016

Hello all, Please see the following ad for a full-time computational neuroscience RA: Computational Neuroscience Research Assistant Position at Stanford University: Stanford University has an opening for a talented research assistant with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (http://scsnl.stanford.edu) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging data analysis and data organization and management. He/She will have opportunities to develop and apply novel multimodal data analysis techniques and to co-author research publications. Experience with Matlab, Python, R, signal and image processing, machine learning, statistics, databases, Linux, and shell scripting is required. Experience in neuroimaging/neural data analysis is desired. Excellent organizational and interpersonal communication skills are required. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. A two-year commitment is required. Please email a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford+quantitative(a)gmail.com Thanks, Jonathan

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Fully-funded four-year PhD studentship in Computational Neuroscience at Imperial College London
by Reichenbach, Johann D T Nov. 28, 2016

Nov. 28, 2016

An exciting PhD project in Computational Neuroscience is available for UK/EU candidates in the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach/index.html) at Imperial College London. The student will develop state-of-the art neuronal network models to investigate the effects of complex spatio-temporal neurostimulation on speech processing. The model development and results will be linked with ongoing experiments, and will pave the way to a novel rehabilitation from neural impairments with speech comprehension. The PhD position is part of the Center for Neurotechnology (http://www.imperial.ac.uk/neurotechnology/cdt) at Imperial College London. The successful candidate will join an international cohort of PhD students working on cutting-edge topics of computational and experimental neuroscience and engineering. To apply please visit the Centre's project page (http://www.imperial.ac.uk/neurotechnology/cdt/projects/) access the tab "Projects available for Oct 2017" and select the project "Developing a novel type of neurostimulation to foster speech processing and rehabilitation from aphasia". Deadline is the 31st of January 2017. ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

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Graduate assistantships in Computational Science at FSU
by Gordon Erlebacher Nov. 28, 2016

Nov. 28, 2016

Florida State University Graduate student assistantships available for Ph.D. and M.S. degree programs in Computational Science The Department of Scientific Computing at Florida State University offers innovative M.S. and Ph.D. degree programs in Computational Science. Graduate teaching and research assistantships are available for qualified, motivated students who are interested in receiving cross-disciplinary training in computational science. Many, if not most interdisciplinary degree programs and schools, including those in computational science, are jointly administered by several departments. Florida State University has created an independent department, the Department of Scientific Computing, that offers truly cross-disciplinary graduate degree programs in computational science. All faculty, postdoctoral associates, and students associated with the Department of Scientific Computing have offices in the same building, leading to a supportive, synergetic, environment in which the varied aspects of research and education in computational science are not only supported, but is a way of life. For more information about the Department of Scientific Computing and its graduate degree programs, please go to http://www.sc.fsu.edu. Over the last few decades, computations have joined theory and experimentation to form the three pillars of scientific discovery and technological design. Computational science can be viewed as residing at the intersection of traditional disciplines such as mathematics, computer science, statistics, engineering, and the sciences. Thus, computational science draws from but is not a subset of any of these disciplines. Due to the cross-disciplinary nature of computational science, it is essential that a computational scientist be trained in a setting that incorporates all the components that make up computational science. The Department of Scientific Computing is uniquely positioned to offer such training because it composed of truly cross-disciplinary faculty with strong computational backgrounds in the fields of biology, computer science, engineering, geophysical science, mathematics, material science, physics, and statistics, with an even broader spectrum of disciplines through collaborations within and outside Florida State. Students enrolled in the Ph.D. program in Computational Science can choose several areas of specialization. In addition to the major track, which trains students interested in the mathematical and computer science aspects of computational algorithms that can be applied to a wide range of disciplines, we offer tracks in atmospheric science, biochemistry, biological science, geological science, materials science, and physics. Soon, we will add a track in computational intelligence. Students following these tracks gain expertise in computational issues specifically related to the chosen field. All students, however, will be involved in truly cross-disciplinary training and research. The Department of Scientific Computing maintains a large and diverse computing infrastructure in support of research and education. Available computing resources include supercomputers, a number of clusters and computational servers, and multi-core workstations with advanced graphics cards available, and other specialized hardware. Florida State University is a national graduate research university which has built a reputation as a strong center for research in the sciences. It is located in Tallahassee, FL which is situated in the Florida panhandle and is near some of the most beautiful, uncrowded beaches in the United States as well as other scenic wonders. Applications are being accepted now for Fall 2017. Assistantships are available for qualified individuals. Minorities and women are especially encouraged to apply. Applicants should hold, by the time of entry into the graduate program, a baccalaureate degree in a natural science, engineering, computer science, mathematics, or statistics. Interested applicants should go to http://www.sc.fsu.edu/graduate/application, where detailed instructions about how to apply are given. Requests for more information and questions about the graduate programs or about the Department of Scientific Computing should be addressed to Dr. Sachin Shanbhag (Graduate Coordinator) at sshanbhag(a)fsu.edu or Gordon Erlebacher (Chair) at gerlebacher(a)fsu.edu. -- Gordon Erlebacher Chair, Department of Scientific Computing

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Postdoc opening in perceptual/cognitive neuroscience
by Simon Kelly Nov. 25, 2016

Nov. 25, 2016

Applications are invited for a postdoctoral research post in the Cognitive Neural systems lab (https://cogneusys.com/) led by Simon Kelly, to study computational and neural mechanisms of value-biased sensorimotor decision making under time pressure. This position is part of a project funded by Science Foundation Ireland, which involves a combination of psychophysics, computational modelling, non-invasive electrophysiology of human brain and muscle, and analyses of existing single-cell neurophysiological data. Though involvement is expected in all of these aspects, the most critical role of the postdoctoral researcher will be in computational modelling. Candidates must thus have strong analytic and programming skills, and specific experience in the computational modelling of cognitive processes. Candidates must also be highly motivated and have excellent communication skills. Dr. Kelly's electrophysiology/psychophysics lab is situated within the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and has strong collaborative links to cognitive and clinical neuroscience research groups both locally (e.g. Trinity College Institute of Neuroscience) and internationally (e.g. City College and Columbia University in New York). The successful applicant will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit a brief research statement and CV including publications through the UCD job vacancies site ( http://www.ucd.ie/hr/jobvacancies/ - search for keyword 'kelly', or job ref 008870). Informal enquiries can be directed to Simon (simon.kelly(a)ucd.edu) Candidates should explain in their statement how their own research interests fit with those of the Kelly lab. The deadline for submitting applications is Jan 8th 2017, and shortlisting and interviews will take place shortly after that. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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PhD positions at the University of Exeter: Developing gaze training for skilled upper-limb prosthetic use Ref: 2407
by Tsaneva-Atanasova, Krasimira Nov. 19, 2016

Nov. 19, 2016

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. This project is part of a competition for funding. Usually the project which receives the best applicant will be awarded the funding. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the 56 projects advertised we expect that up to 20 posts will be filled. Location: University of Exeter, Streatham Campus, Exeter, Devon Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> (University of Exeter) Co-supervisor: Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> (University of Exeter) Co-supervisor: Dr Greg Wood<http://www.cheshire.mmu.ac.uk/exspsci/ourstaff/profile/index.php?profile_id…> (Manchester Metropolitan University) Co-supervisor: Dr Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> (University of Exeter) Project Description: Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first part of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from project work 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final stage of the project work, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this state of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. The students will be involved in these experiments by running model simulations and data analysis to provide quantitative information for the training protocol as well as focussing on completing the write-up of their PhD thesis. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs.To be eligible for fees only funding you must be ordinarily resident in a member state of the EU Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Number of awards: 1 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year Duration of award: per year Contact: Doctoral College Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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PhD positions at the University of Exeter: Controlling noise effects in models of excitable cells
by Tsaneva-Atanasova, Krasimira Nov. 19, 2016

Nov. 19, 2016

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> (University of Exeter) Co-supervisor: Dr Joël Tabak<http://medicine.exeter.ac.uk/about/profiles/index.php?web_id=Joel_Tabak-Szn…> (University of Exeter) Location: University of Exeter, Streatham Campus, Exeter, Devon Project Description: This is a project that combines biological modelling and general mathematical analysis of the influence of noise on multiple-timescale systems. It will give the student the opportunity to work on open mathematical questions and see their results applied in experiments on living cells. Many types of cells such as neurons, heart and hormone-releasing cells generate impulses of electrical activity, organized as single spikes or bursts of impulses. In cells of the pituitary gland – the master hormonal gland of the body – the features of electrical activity patterns determine how much hormone is released into the circulation. Hence, understanding how the characteristic features of electrical activity arise is crucial to understanding how these cells function, and how they may malfunction in disease. Mathematical modelling and analysis techniques have proven very successful in helping unravel fundamental mechanisms controlling the behaviour of excitable cells. Electrical activity is driven by the interactions between ion channels of the cell membrane, which produce noisy electrical currents. The mathematical models of electrical activity thus contain random and deterministic parts, which typically appear as separate terms (e.g., the deterministic drift and the Brownian-motion induced diffusion in stochastic differential equations). In experimental practice this distinction is not as clear. For example, ion channels in cells with electrical activity generate noisy signals, driving systematically the electrical and chemical activity in the cell, which operate also on several time scales. It is still unclear how this randomness influences electrical activity in real cells. This PhD project will investigate how one can use control to identify the systematic (deterministic) component of trajectories in dynamical systems with random inputs (such as ion channel noise) that operate on two or three different time scales (such as spiking or bursting cells). A first goal to separate a systematic, approximately periodic, signal without knowledge of the period using control and geometric methods in a reconstructed phase space. Preliminary investigations with noise on a single time scale interacting with a two-timescale oscillation (spiking) have shown that this is in principle possible. It is an open question how this can be generalized to periodic behaviours with a more complicated geometry (such as bursting), interacting with noise effects that occur on two time scales. Another open question is how the geometric control and noise identification is related to extended time-delayed feedback, which creates a reference signal from a geometric time series of past outputs. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes; however up to 9 fully-funded studentships across the DTP are available for EU/EEA applicants not ordinarily resident in the UK. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year. Duration of award: per year Contact: Doctoral College: 01392 722737 doctoral.college(a)exeter.ac.uk<mailto:doctoral.college@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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PhD Position: Modelling spine calcium dynamics and cross talk: implications for synaptic plasticity and ischaemia
by Tsaneva-Atanasova, Krasimira Nov. 19, 2016

Nov. 19, 2016

PhD Position: Modelling Spine Calcium Dynamics, University of Exeter Project Description: Nerve cells (neurones) in the brain communicate with one another at connect ions called synapses. A chemical (neurotransmitter) is released from a neuron and travels across the synapse to activate receptors in the adjacent neuron. Synapses can change their strength (known as “synaptic plasticity”) by altering the number of receptors found on the surface of the neuron in the synapse. This process is thought to underlie learning and memory, because the memory is likely to be stored in a circuit of interconnected neurons. The critical trigger for synaptic plasticity is the influx of calcium ions into very small compartments of neurones called spines, tiny structures approximately 1 millionth of a metre in diameter. However, this influx of calcium ions can also trigger cell death after ischaemic injury that occurs during stroke so it must be tightly regulated. Plasticity of excitatory synapses is a key mechanism by which we alter the flow of information in the brain and encode memories. Individual synapses occur at thousands of postsynaptic dendritic spines separated from the dendrite by a thin neck making each spine a semi-autonomous entity. It is thought that this is what underpins synapse specific plasticity enabling high capacity memory. However, recently it has become clear that cross talk between coactive spines is the basis for many forms of synaptic plasticity, but the mechanism, requirements and biological function for this spine-spine communication remain unknown. Similarly, the precise calcium signals that differentiate plasticity from cell death processes are also unknown. This project aims to address these questions using a combination of mathematical modelling and high-resolution imaging data collected with high-powered laser microscope. In order to capture the complex geometry of the system we will employ advanced mathematical techniques for spatio-temporal modelling and analysis such as finite element methods. This work is important because it will lead to a wealth of new information about synaptic plasticity and cell death processes, and hence the mechanisms underlying learning and memory and ischaemic brain damage. Furthermore, dysfunction in the ability to undergo synaptic plasticity is thought to underlie the altered neuronal activity in several brain diseases, such as Alzheimer’s disease, schizophrenia and autism. Therefore, the mechanisms that we will study in this research will add to our knowledge about these debilitating diseases, and may contribute to developing therapies. Academic Supervisors: Main Supervisor: Professor Krasimira Tsaneva-Atanasova (University of Exeter) Co-supervisor: Dr Jack Mellor (University of Bristol) Summary Application deadline: 5th December 2016 Value: £14,296 per annum for 2016-17 How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding//application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. Please indicate your preferred project choice if applying for multiple BBSRC SWBio DTP projects. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English (see entry requirements above) You will be asked to name 2 referees as part of the application process however we will not contact these people until the shortlisting stage. Your referees should not be from the prospective supervisory team. The closing date for applications is midnight on Monday, 5 December 2016. Interviews will be held at the University of Exeter in early February 2017. If you have any general enquiries about the application process please email cles-pgr-support(a)exeter.ac.uk<mailto:cles-pgr-support@exeter.ac.uk> or phone +44 (0)1392 725150 / 723706. Project-specific queries should be directed to the supervisor. ----------------------------------------------------------- BBSRC SWBio DTP PhD studentship: Modelling spine calcium dynamics and cross talk: implications for synaptic plasticity and ischaemia About the South West Biosciences Doctoral Training Partnership: The South West Biosciences Doctoral Training Partnership (SWBio DTP) is a BBSRC-funded PhD training programme in the biosciences, delivered by a consortium comprising the Universities of Bristol (lead), Bath, Cardiff, Exeter, and Rothamsted Research. Together, these institutions present a distinctive cadre of bioscience research staff and students with established international, national and regional networks and widely recognised research excellence. The partnership has a strong track record in advancing knowledge through high quality research and teaching in partnership with industry and government. The aim of the SWBio DTP is to produce highly motivated and excellently trained postgraduates in the BBSRC priority areas of Agriculture & Food Security (AFS) and World-Class Underpinning Bioscience (WCUB). These are growth areas of the biosciences and for which there will be considerable future demand. About the award: This project is one of a number that are in competition for funding from the South West Biosciences Doctoral Training Partnership (SWBio DTP). Up to 4 fully-funded studentships are being offered to start in September 2017 at the University of Exeter. For UK/EU nationals who meet the residency requirements outlined by the BBSRC, the studentship will cover funding for 4 years (48 months) as follows. These awards might be available to part-time students, but only in exceptional circumstances, in which case the funding will be paid on a pro-rata basis. • a stipend at the standard Research Council UK rate; currently £14,296 per annum for 2016-2017 • research and training costs • tuition fees (at the standard Research Councils UK rate • additional funds to support fieldwork, conferences and a 3-month internship Location: University of Exeter, Streatham Campus, Exeter Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Applicants with a Lower Second Class degree will be considered if they also have Masters degree or have significant relevant non-academic experience. In addition, due to the strong mathematical component of the taught course in the first year and the quantitative emphasis in our projects, a minimum of a grade B in A-level Maths or an equivalent qualification or experience is required. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.5 in any section by the start of the project. Alternative tests may be acceptable, please see http://www.bristol.ac.uk/study/language-requirements/profile-c/. Students from EU countries who do not meet the residency requirements may still be eligible for a fees-only award but no stipend. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Further information about eligibility can be found in the following document: http://www.bbsrc.ac.uk/documents/studentship-eligibility-pdf/ Selection process: Please note, the studentship selection process will take place in two stages: 1. The project supervisors will consider your application and may invite you to visit for an informal interview. You can apply for more than one BBSRC SWBio DTP project, although supervisors may take into account your interest and commitment to their particular project. If you apply for multiple projects, please indicate your preferred project choice in your letter of application. Each application for an individual project will be considered separately by the project supervisors. 2. After closure of applications, each supervisory team will then nominate their preferred applicant. A shortlist will be selected from these nominations and shortlisted applicants will be invited for interview on a selection day at the University of Exeter. Please note that nomination by a project supervisor therefore does not guarantee the award of a studentship. ----------------------------------------------------------- Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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Call for Registration: Computational Neurology 2017. Newcastle upon Tyne, UK
by roman bauer Nov. 19, 2016

Nov. 19, 2016

Dear all, We are pleased to announce that the registration for the Computational Neurology Conference in Newcastle upon Tyne, UK has opened. *Please register here:* https://conferences.ncl.ac.uk/compneurology/registration/ - Registration is free and includes lunch/coffee breaks on both days - Speakers are not required to register *Registration deadline:* February 5, 2017 *List of confirmed speakers:* - Javier Escudero - Edinburgh - Marc Goodfellow - Exeter - Andrew Jackson - Newcastle - Viktor Jirsa – Marseille - Marcus Kaiser - Newcastle - Dimitri Kullmann – University College London - Marco Manca - CERN - Florian Mormann - Bonn - Matthew Nolan – Edinburgh - Gregory Scott - Imperial College London - Evelyne Sernagor - Newcastle - Peter Uhlhaas – Glasgow Additionally, there will be multiple mini-talks from selected poster presenters. More information on the conference can be found at the dedicated website: https://conferences.ncl.ac.uk/compneurology/ Thanks and we look forward to seeing you in Newcastle upon Tyne! On behalf of the organizers: Roman Bauer, Anupam Hazra, Luis Peraza Rodriguez, Peter Taylor, Yujiang Wang -- Roman Bauer, Ph.D. MRC Research Fellow Institute of Neuroscience Newcastle University Newcastle upon Tyne NE1 7RU, UK tel: +44 (0) 191 208 8933 <+44%20(0)%20191%20208%208933>

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Funded PhD places at Royal Holloway
by Durant, Szonya Nov. 18, 2016

Nov. 18, 2016

Applications are open for funded PhD places starting 2017 in the Dept. of Psychology, Royal Holloway University of London. Further details: https://www.royalholloway.ac.uk/psychology/prospectivestudents/postgraduate… The following projects may be of interest to the readers of this list (linked the project descriptions below), please contact the primary supervisor for more information. ? The perceived duration of actions (Primary Supervisor: Dr Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant_64105598-7…>; Second Supervisor: Dr Lingnau<https://pure.royalholloway.ac.uk/portal/en/persons/angelika-lingnau%283be38…>) ? Semantic information transfer from audition to vision (Primary Supervisor: Dr Vetter<https://pure.royalholloway.ac.uk/portal/en/persons/petra-vetter(cdfd308c-1e…>; Second Supervisor: Dr Auer) ? Perceptual and physiological correlates of aesthetic preferences (Primary supervisor: Prof Zanker<https://pure.royalholloway.ac.uk/portal/en/persons/johannes-zanker_350450c5…>; Second Supervisor: Dr Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant_64105598-7…>) ? The neuroscience of facial attractiveness choices (Primary Supervisor: Dr Furl<https://pure.royalholloway.ac.uk/portal/en/persons/nicholas-furl(ea2a352b-6…> ; Second Supervisor: Dr McKay<https://pure.royalholloway.ac.uk/portal/en/persons/ryan-mckay_cda72457-6d2a…>) ? Detection of emotion and trustworthiness across the lifespan (Primary Supervisor : Dr Watling<https://pure.royalholloway.ac.uk/portal/en/persons/dawn-watling_70194d88-af…>; Second Supervisor : Dr Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant_64105598-7…> ) Szonya Durant, RHUL Angelika Lingnau, RHUL The perceived duration of actions Project Summary The perception of duration is often cited as being crucial for action. Overlapping neural areas have been found to be involved in motor planning and duration perception. However, dissociations have been found in time judgement for action and perception. Our ability to judge the duration of our own and others' actions has been little investigated. Additionally, predictability affects duration perception and neural signal change - do expected actions differ from unexpected ones in their perceived duration? This project combines psychophysical, EEG and fMRI techniques, providing the PhD candidate with a broad training in neuroscientific techniques. The behavioural experiments compare the perceived duration of action to matched non-action visual stimuli. We test if judging our own actions cued by a visual stimulus improves accuracy or shifts means compared to action or non-action visual stimuli alone. We will also manipulate predictability of actions, both by probability of occurrence or expectation in terms of object affordance. The fMRI studies will contrast judging the duration of another person's actions versus one's own as well as non-action visual stimuli. We will examine which brain areas are modulated by perceived duration and by predictability. Moreover, we will use MVPA to examine predictability effects on the ability to categorize actions. The EEG experiments will use the visual mismatch negativity signal as a measure of what is considered a predictable action when attention is not directed towards it and relate this to the psychophysical results. Petra Vetter, RHUL Tibor Auer, RHUL Semantic information transfer from audition to vision Project summary: Our brain integrates a multitude of sensory information into one coherent percept so that we can interact with the world. Previous research typically focussed on how multisensory information is integrated across space and time, but so far little research has attempted to determine the semantic meaning of the communicated information across the senses. However, knowing the semantic content of cross-modally transmitted information is crucial to optimise multimedia environments and sensory substitution devices for the blind. The goal of this project is to characterise the semantic information content that is transferred from audition to vision in the human brain, and to identify the neural pathways of this information transfer. The predominant methods will be functional MRI in combination with multivariate brain decoding techniques and transcranial magnetic stimulation (TMS). The project will address two main questions: 1. Which semantic categories of auditory information are distinguished in visual cortex and to which level of abstraction? Here we will decode natural sounds of several semantic categories (e.g. animals versus humans, female versus male, tools versus instruments) from fMRI activity patterns in early visual cortex in the absence of visual stimulation. 2. Where in the brain are these semantic categories distinguished? Here the brain pathways of audio-visual information transfer will be identified by connectivity and whole brain decoding analyses, as well as by stimulating multi-sensory brain areas with TMS prior to MRI scanning. The latter allows to identify the brain areas that are causally involved in mediating semantic information transfer from audition to vision. Johannes Zanker, RHUL Szonya Durant, RHUL Perceptual and physiological correlates of aesthetic preferences Project summary Arts history has plenty of 'theoretical' concepts on offer to explain what human spectators regard as beautiful (Gombrich 1977), which often closer to believe systems than being based on evidence. With the advent of psychophysics, investigating the relationship between the physical world and its mental representation, aesthetic judgement became accessible to empirical study (Fechner 1860), soon to be aided by some physiological and behavioural methods (Yarbus 1967, Berlyne 1971). The proposed project is planned to extend previous work that established (a) quantitative methods to measure aesthetic attributes - such as complexity, regularity, liking - that were applied to both to synthetic stimuli and samples of artwork, and (b) an analysis method for preferential eye movements for the same stimulus material, and complement it with (c) recordings of cortical activity recorded with the EEG system. The combination of methods offers the opportunity to directly link the perceptual tasks, recordings of eye movement signals (which are also picked up by the EEG system) and neural responses and align preference data sets from a single experiment. The goal of this project is to explore whether features such as style aspect, particular composition schemes, geometric properties such as perspective or symmetry, and mathematical properties such as the complexity of a piece of art, are reflected in the activity of the early visual system, and to what extent such cortical activity in the early visual system can contribute to for what participants perceive as pleasing, and describe as 'beautiful'. Dawn Watling, RHUL Szonya Durant, RHUL Detection of emotion and trustworthiness across the lifespan Project Summary Emotion recognition is a key social skill which we use on a daily basis to navigate successfully through social interactions. Individuals use facial expressions to infer and make judgments about the attitude and/or feelings of another (Cunningham & Odom, 1986) and the judgments that one makes are often used to guide future behaviour within the interaction (Gao & Maurer, 2009). Children recognize from 6-years-old that facial expressions of emotion do not always match true feelings. This PhD will address: first, what factors influence one's ability to detect a genuine (or faked) facial expression of emotion, how does this relate to judgements of trustworthiness; second, are their age related changes in detection and judgements across the lifespan? Throughout this PhD a series of studies will be designed to address these questions using static and dynamic images, and live interactions. The proposed cross-sectional design will include participant groups from early childhood to late adulthood. Participants will visit the Oculomotor lab and be asked to make judgements on genuineness of emotional expressions and how trustworthy an individual is. Participants' eye movements and gaze fixations will be recorded and analysed in terms of scan paths, gaze duration at targeted areas, and related to the perceived genuineness of the individual. There are important implications for the understanding of how a child may respond to an approaching strangers or how an elderly individual may respond to a stranger who makes a request (e.g., for money, to enter their home). Nicholas Furl, RHUL Ryan McKay, RHUL Bruno Averbeck, NIMH/NIH Davide Rivolta, University of East London The neuroscience of facial attractiveness choices Project summary Users of modern dating applications (e.g., Tinder) face a classic decision problem. This "best choice" or "marriage" problem requires participants to view a series of options one at a time (e.g., a series of used cars) and to decide whether to accept or reject each option. A participant's task is to find a high-ranking option in the series (e.g., a car with low mileage), with the restriction that declined options cannot be returned to. The problem is known as the "marriage" problem after the decision process adopted by astronomer Johannes Kepler when searching for a wife; after considering several candidates, Kepler returned to a previous candidate and was duly rejected. Our research team has shown that humans confronted by a similar mate choice task make suboptimal decisions, compared to computational "ideal observer" models. Further, parietal cortex activity may contribute to these decisions. Our Ph.D. project will use brain imaging to assess how suboptimal searches for the most attractive face arise from interactions between brain activity involved in decision making (parietal cortex) and social perception. Our student will also test whether brain stimulation (e.g., to parietal cortex) changes participants' ability to "wait for the right person". Our Ph.D. student will lead a project with potential for broad scientific and social impact and will receive training in brain imaging, brain stimulation and behavioural and computational methods. Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Workshop on Tactile coding and neuroprostheses - Pontedera (Pisa), Italy - Dec 1-2 2016
by Alberto Mazzoni Nov. 18, 2016

Nov. 18, 2016

Workshop announcement (apologies for cross-postings) *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Systèmes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni(a)sssup.it <a.mazzoni(a)sssup.it>)* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / École polytechnique fédérale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)—Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM.

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Hiring Interviews at NIPS Barcelona for NEURAL DATA ANALYTICS - Post Docs, Staff Scientists, & Electrical Engineers
by Platt, Jo Ann Nov. 17, 2016

Nov. 17, 2016

Bioelectronic Medicine is the new frontier of medicine - challenging and changing the way we diagnose, manage, and treat disease. Today's discoveries and devices are successfully replacing drugs. We aim to treat bleeding, cancer, diabetes, lupus, obesity, paralysis, rheumatoid arthritis, sepsis, and many other diseases and conditions. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at Neural Information Processing Systems (NIPS) for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt(a)northwell.edu<mailto:japlatt@northwell.edu> for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441<tel:(415)%20265-0441> 350 Community Drive<x-apple-data-detectors://2/1> Manhasset, NY 11030<x-apple-data-detectors://2/1> The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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[ECSQARU 2017] First Call for Papers
by Alessandro Antonucci Nov. 17, 2016

Nov. 17, 2016

The Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty FIRST CALL FOR PAPERS http://ecsqaru.idsia.ch The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), and Compiègne (2015). ECSQARU 2017 will be co-located with ISIPTA '17, the Tenth International Symposium on Imprecise Probability: Theories and Applications. The joint event will be held in Lugano (Switzerland), on July 10-14, 2017. ::: SCOPE ::: For ECSQARU 2017 we invite submissions of conference papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief revision & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: INVITED SPEAKERS ::: We are delighted of having the following invited speakers: - Leila Amgoud (IRIT, France) - Alessio Benavoli (IDSIA, Switzerland) - Jim Berger (Duke University, USA) - Didier Dubois (IRIT, France) - Eyke Hüllermeier (Paderborn University, Germany) ::: PROCEEDINGS AND SUBMISSIONS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2015 will be published in the Springer Lecture Notes in Artificial Intelligence series. Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Authors of accepted papers are expected to attend the conference to present their work. The instructions for submission and the author kit are available here: http://ecsqaru.idsia.ch/submissions-ecsqaru/ ::: IMPORTANT DATES ::: - Tuesday, February 21, 2017: Paper submission deadline - Tuesday, April 18, 2017: Author notification - Friday, April 28, 2017: Camera-ready copy due ::: IJAR SPECIAL ISSUE ::: Authors of selected papers will be invited to submit an extended version of their work to a special issue of the International Journal of Approximate Reasoning (IJAR, Elsevier). ::: SPRINGER YOUNG RESEARCHER AWARD ::: We also invite applications for the Springer Young Researcher Award. The prize, granted by Springer, will be awarded to one young researcher for excellent research in fields related to the ECSQARU scope. The award is open to Master students, PhD students and young post-doc researchers who have received their PhD in 2016 (or 2017). Applicants should have submitted a paper (not necessarily as first authors) to ECSQARU 2017. Applications should be received by the paper submission deadline (February 21, 2017). _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

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[ICANN 2017] Preliminary announcement, 26th International Conference on Artificial Neural Networks, Alghero, Sardinia, Italy
by ENNS Secretary Nov. 17, 2016

Nov. 17, 2016

Preliminary Announcement [Apologies for cross-postings] =========================================================== www.icann2017.org <http://www.icann2017.org/> ICANN 2017 26th International Conference on Artificial Neural Networks Alghero/Sassari, Sardinia, Italy 11th - 15th September 2017 =========================================================== The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2017, the 26th ICANN will be organised from the 11th to the 15th of September 2017 in Alghero/Sassari, Sardinia, Italy. Conference proceedings will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. IMPORTANT DATES Special session / workshop proposals: 15 January 2017 Proposals for competitions and tutorials: 31 January 2017 Submission of demonstration proposals: 1 March 2017 Submission of abstracts and papers: 19 March 2017 Notification of acceptance: 30 April 2017 Camera-ready paper and registration: 15 May 2017 Conference dates: 11 - 15 September 2017 CONFERENCE TOPICS ICANN 2017 will feature the main tracks Brain Inspired computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: • Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. • Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. • Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE OBJECTIVES - To bring together researchers from two worlds: Information Sciences and Neurosciences - To keep a wide scope, ranging from Machine Learning Algorithms to models of real nervous systems - To facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain. - To help researchers to meet, mingle and network with colleagues from all over the world. - To be the meeting point between research and business. - To be a global interdisciplinary meeting encompassing Machine Learning and Neural Computation. BENEFITS OF ATTENDING THE CONFERENCE - A solid cutting-edge scientific programme including talks from the world experts in the field of artificial neural networks. - A conference schedule tailored to encourage interaction between the attendees, with time for networking and discussion. - The publication of all accepted contributions in the peer-reviewed book of conference proceedings, in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series. - The opportunity to vote and to be considered for the best paper awards, presented during the final ceremony of ICANN. - A top-level conference in the field with a reasonable registration fee, thanks to the not-for-profit policy of the ENNS organisation. Students can apply for ENNS funded travel grants to attend. - An overly attractive conference location in the beautiful setting of the Sardinian coast, with social events to explore the area. http://www.alghero-turismo.it/en/ <http://www.alghero-turismo.it/en/> CONFERENCE REGISTRATION FEES Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim at full implementation of the academic not-for-profit policy. Undergraduate students (Bachelor and Master level): 100 EUR PhD Students: 240 EUR Regular delegates: 290 EUR ENNS members have a reduction of 40 EUR Students can apply for ENNS funded travel grants to attend (see the conference website). CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2017 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and 2 hours presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of maximum 8 pages length that will be refereed to international standards by at least three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract that will also be refereed by at least three referees. The abstracts will be published all together in a proceedings section without an author index. In case of program constraints the priority will be given to original contributions accompanied by a full paper submission. WORKSHOPS, SPECIAL SESSIONS, DEMONSTRATIONS, COMPETITION PROPOSALS and TUTORIALS ICANN 2017 invites proposals for workshops, special sessions, demonstrations, competitions and tutorials to be held during the conference. For more information, please refer to the website. BEST PAPER AWARDS ENNS will sponsor several best paper awards, in the Brain Inspired Computing track and in the Machine Learning research track. All awardees will be presented during the final ceremony. ORGANISATION General Chair: Alessandro E.P. Villa General Co-chairs: Alessandra Lintas, Věra Kůrková, Stefano Rovetta, Paul F.M.J. Verschure Local Co-chairs: Eugenio Lintas, Anna Mura Program and Workshop Committee: Cesare Alippi, Jérémie Cabessa, Barbara Hammer, Petia Koprinkova-Hristova, Jaako Peltonen, Antonio J. Pons, Yifat Prut, Stefano Rovetta, Igor V. Tetko, Paul F.M.J. Verschure, Alessandro E.P. Villa, Francisco Zamora-Martinéz Communications Chair: Paolo Masulli Organisation Università degli Studi di Sassari, Italy University of Lausanne, Switzerland Universitat Pompeu Fabra, Spain ENNS Secretariat, Switzerland -- Caroline Kleinheny secretary ENNS University of Lausanne Laboratoire de Neuroheuristique Internef - 137 CH - 1015 Lausanne Switzerland Tel : +41 21 692 33 88 secretary(a)e-nns.org <mailto:secretary@e-nns.org>--

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Grants for independent young scientists - Romanian Institute of Science and Technology
by R. Valentin Florian Nov. 16, 2016

Nov. 16, 2016

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[IJCNN 2017] Submission deadline is extended to Thursday, 1st December 2359 hr (UTC-8 hr)
by Teng Teck Hou Nov. 16, 2016

Nov. 16, 2016

[Apologies for cross-postings] ################################################## CALL FOR PAPERS International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ http://www.ijcnn.org/call-for-papers ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Paper Submission December 1, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Alex Graves, Research Scientist, Google DeepMind * Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, USA * Odest Chadwicke Jenkins, Associate Professor of Computer Science and Engineering, University of Michigan * Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science, USA * Jose C. Principle, Distinguished Professor, University of Florida, USA * Hava Siegelmann, Program Manager, DARPA * Paul Werbos, Program Director (retired), National Science Foundation #################################################################### ##########################Accepted Special Sessions########################## 1 Advanced Data Analytics for Large-scale Complex Data Environment Jia, Wu (University of Technology Sydney); Shirui, Pan; Xiangnan, Kong; Ivor W., Tsang 2 Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) Rodriguez Rivero (Universidad Nacional de Crdoba, Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo 3 Artificial Neural Network Solutions in Power Plant Safety and Security Alamaniotis, Miltos (Purdue University, USA); Tambouratzis, Tatiana 4 Artificial Neural Network-Based Methodologies for Environmental Sustainability Development: Theory and Practice Souliou, Dora (National Technical University of Athens, Greece);Tambouratzis, Tatiana 5 Biologically Inspired Computational Vision Iftekharuddin, Khan (Old Dominion Univ., USA) 6 Biologically-inspired Neural Networks and Learning Systems for Robotics Luo, Chaomin (Univ. of Detroit City, USA) 7 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi 8 Computational Intelligence Algorithms for Digital Audio Applications Principi, Emanuele (Universita Politecnica delle Marche, Italy); Uncini, Aurelio; Schuller, Björn; Squartini, Stefano 9 Concept Drift, Domain Adaptation & Learning in Dynamic Environments Giacomo, Boracchi (Politecnico de Milano, Italy); Robi, Polikar; Manuel, Roveri; regory Ditzler 10 Cybersecurity Analytics Catherine Huang (Intel) 11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi, Cerase; He, Haibo 12 Data stream mining in industry Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong 13 Deep and Reinforcement Learning (DRL) Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile; Razavi-Far, Roozbeh; 14 Explainability of Learning Machines Guyon, Isabelle (Universit Paris-Saclay, France); Escalante, Hugo Jair; Escalera, Sergio; Viegas, Evelyne 15 Extreme Learning Machines (ELM) Huang, Guang-Bin (Nanyang Technological Univ., Singapore); Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C. 16 Incremental Machine Learning: Methods and Applications Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi Ozawa (Kobe University, Japan) 17 Intelligent Vehicle and Transportation Systems Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr, Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin; Dauwels, Justin; Kocchar, Dev; 18 Interpretable Models in Machine Learning for Advanced Data Analysis Biehl, Michael (Univ. of Groningen, Netherlands); Villmann, Thomas 19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?; Donini, Michele; Aiolli, Fabio; Anguita Davide 20 Machine Learning for Business Analytics Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin 21 Machine Learning for Enhancing Biomedical Data Analysis Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa, Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E. 22 Machine Learning Methods Applied to Medicine Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro, Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio 23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera, Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi; Dominguez, Enrique 24 Machine Learning Techniques for Data-Driven Cyber Security Hongmei He (Cranfield Univ., UK) 25 Mind, Brain, and Cognitive Algorithms Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel 26 Nature-Inspired Neural Network Optimization Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South Africa); Engelbrecht, Andries 27 Neuro-Inspired Computing with Nanoelectronic Devices Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy 28 Neural Network Transfer Learning for the Recognition of Human Behavior and Affect Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer, Stefan; 29 Online Real-Time Strategies for Data Stream Mining Mahardhika Pratama (La Trobe University, Australia), Plamen P. Angelov, Meng Joo Er, Edwin Lughofer 30 Optimizing Neural Networks via Evolutionary Computation and Swarm Intelligence Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon Ong 31 Probabilistic Models and Kernel Methods Sun, Shiliang (East China Normal Univ. China); Ding, Shifei; Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing 32 Reservoir Computing in Hardware Merkel, Cory (Airforce Research Laboratory, USA); McDonald, Nathan; Thiem, Clare; Wysocki, Bryant 33 Smart Educational Techniques in Big Data Age Guandong Xu (Univ. Technology Sydney, Australia), Gang Li, and Wu He ############################################################################ # ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * Péter Érdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society * BSCS - Budapest Semester in Cognitive Science * BMI - Brain-Mind Institute ############################################################

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PhD student openings in auditory neuroscience at Purdue University
by Bharadwaj, Hari M Nov. 15, 2016

Nov. 15, 2016

[Apologies for cross posting] Two PhD student positions are available at the Systems Neuroscience of Auditory Perception<https://engineering.purdue.edu/SNAPLab> Lab at Purdue University. We study the neural mechanisms of auditory perception in complex multi-source environments (e.g., crowded restaurants or busy streets) using a combination of human neuroimaging techniques (EEG, MRI, otoacoustic emissions), behavioral listening experiments, and computational modeling. In addition we are interested in the effects of overexposure to loud sounds and early aging on the auditory system, and how that affects perception. A notable capability of the lab is the ability to non-invasively measure, and to model physiological responses at different levels of the auditory pathway from the cochlea to the cortex. Please visit https://engineering.purdue.edu/SNAPLab for more information about the lab, the facilities, and the vibrant intellectual environment at Purdue with a large community of hearing researchers<https://www.purdue.edu/hhs/slhs/events/seminars_in_hearing_research.html> and neuroscientists<https://www.purdue.edu/discoverypark/pillars/integrative-neuroscience-cente…>. Applications can be submitted through the Weldon School of Biomedical Engineering<https://engineering.purdue.edu/BME/Academics/Graduate/Admissions>, or the Department of Speech, Language, and Hearing Sciences<http://www.purdue.edu/hhs/slhs/graduate/index.html> as described here<https://engineering.purdue.edu/SNAPLab/research/prospective.html>. Informal enquiries about the positions can be directed to Hari Bharadwaj (hbharadwaj(a)purdue.edu) Preference will be given to applications received by December 15, 2016. -- Hari M. Bharadwaj, Ph.D. Assistant Professor of Speech, Language, and Hearing Sciences Assistant Professor of Biomedical Engineering Lyles-Porter Hall Purdue University 715 Clinic Drive, Room 3162 West Lafayette, IN 47907 (765) 496-2249 hbharadwaj(a)purdue.edu<mailto:hbharadwaj@purdue.edu> http://engineering.purdue.edu/SNAPLab<https://engineering.purdue.edu/SNAPLab>

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3-year PostDoc position in Aberdeen
by Andersen, Soren Nov. 15, 2016

Nov. 15, 2016

Hello, a 3-year PostDoc position in my lab in Aberdeen in Scotland is currently open. It is in a BBSRC funded project to do quantitative modelling of EEG and behavioural data, combining steady-state visual evoked potentials (SSVEPs) and drift diffusion modelling. Candidates should have very solid technical skills (esp. Matlab) and ideally know something about attention and EEG. The position is still open until the 20th of November and applications must be submitted through the University's online application portal. For further information see: https://www.abdnjobs.co.uk/vacancy/research-fellow-281767.html Please do not hesitate to contact me if you have any questions regarding this position. Best regards, Søren Andersen ------------------------------ Søren K. Andersen, Ph.D. School of Psychology William Guild Building Room T5 Kings College Old Aberdeen AB24 3FX, UK Phone: +44 (0)1224 274240 Email: skandersen(a)abdn.ac.uk http://www.abdn.ac.uk/staffpages/skandersen The University of Aberdeen is a charity registered in Scotland, No SC013683. Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. SC013683.

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2017 Neural Inspired Computational Elements Workshop - San Jose CA 3/6/17-3/8/17
by Aimone, James Bradley Nov. 14, 2016

Nov. 14, 2016

Dear Colleagues, The registration and abstract submissions are open for NICE 2017, which is going to be held at IBM Almaden Research Center, March 6-8, 2017. https://www.src.org/calendar/e006125/ With ever increasing interest and activity in AI and next generation computing systems, this event is again bringing together a unique and very strong cross section of experts across neuroscience, theory, algorithms, hardware and applications. We expect to have a larger number of attendees this year. Registration slots are limited due to venue logistics - we encourage you to register early to reserve your spot. Looking forward to seeing you in Almaden in March. Murat Murat Okandan, Ph.D. NICE Workshop Foundation mokandan(a)niceworkshop.org<mailto:mokandan@niceworkshop.org> http://niceworkshop.org -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

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[EAIS 2017] Call for Papers
by Teng Teck Hou Nov. 14, 2016

Nov. 14, 2016

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) May 31- June 2, 2017, Ljubljana, Slovenia http://msc.fe.uni-lj.si/eais2017/ ################################################## The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) will be held in Ljubljana (Slovenia), a beautiful medieval town. Ljubljana lies halfway between Vienna and Venice, at the crossroads of different cultures, geographical regions, and historical developments. Compared to other capitals, Ljubljana is very small, very green, and very walking-friendly town, which makes it a great place to explore on foot. It is in the center of Slovenia and enables exploring some of the most popular tourist sights of Slovenia in one day. Visit enchanting Bled, with its medieval castle perched upon the lake, explore mysterious Predjama castle and end the trip by visiting Postojna cave, Slovenia's number 1 attraction. EAIS 2017 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamics change. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams. EAIS 2017 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. The conference series has a history starting in 2006 in Lake District (England). It was held after that in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris (France), Madrid (Spain), Singapore, Linz (Austria), Douai (France), and Natal (Brasil). Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). During EAIS 2017 the results of the new IEEE SMC Society sponsored competition on Autonomous Learning Machines (ALMA) will be announced. ##############################Important Dates############################## * Paper Submission December 24, 2016 * Paper Decision Notification February 24, 2017 * Camera-Ready Submission March 24, 2017 * Authors registration March 24, 2017 * Conference May 31 - June 2, 2017 ########################################################################### ##########################Keynote Speakers########################## * Plamen Angelov, Professor, Lancaster University, United Kingdom * Fernando Gomide, Professor, University of Campinas, Brazil * Nikola Kasabov, Professor of Computer Sience, Auckland University of Technology, New Zealand #################################################################### ##########################Accepted Special Sessions########################## 1. Computational Intelligence in Control of Power Generating Systems, Transmission and Load Management, Session proposer: Horst Schulte, HTW Berlin Email: Horst.Schulte(a)HTW-Berlin.de ############################################################################ # ############Paper Submission and Publication############ * Papers for EAIS 2017 should be submitted electronically through the Conference website at http://msc.fe.uni-lj.si/eais2017. * Submitted papers will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. ######################################################## ######################################################## IEEE Autonomous Learning Machines Competition ALMA Competition is organized by IEEE SMC Society. The goal of this competition is to increase the level of autonomy of the learning algorithms. Competition Tracks: 1. New data sets and streams that are suitable demonstrators for the topic of the competition. 2. New methods and algorithms for Autonomous Machine Learning in: . Clustering . Classification . Control . Prediction Awards: Track 1 - $1000 Track 2 - $1000 in each category ($4000). Important Dates: 31 January, 2017. Deadline for submitting the algorithms in open source GNU license format. The proposed methods and algorithms must be described in form of papers and submitted to the ALS Competition track of EAIS 2017 and presented at the conference (which will be held in Ljubljana, Slovenia). May 31- June 2, 2017. Results will be announced during the conference EAIS 2017. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * Honorary Chairs Plamen Angelov, UK Dimitar Filev, USA Nikola Kasabov, New Zealand * Conference Chair Igor Škrjanc, chair, Slovenia Sašo Blažic, co-chair, Slovenia * Publication Chairs Edwin Lughofer, Austria Sašo Blažic, Slovenia * Local Arrangement Chairs Dejan Dovžan, Slovenia Milan Simcic, Slovenia * Web & Publicity Chair José A. Iglesias, Spain Teck-Hou Teng, Singapore * Special Session Chair: Radu-Emil Precup, Romania * Program Committee Chair: Igor Škrjanc, Slovenia * International Program Committe Cesare Alippi, Italy Plamen Angelov, UK Rosangela Ballini, Brazil Rashmi Dutta Baruah, India Abdelhamid Bouchachia, UK Jorge Cassillas, Spain Bruno Costa, Brazil Dejan Dovžan, Slovenia Alain Droniou, France Dimitar Filev, USA Nadine Gaertner, Germany Joao Gama, Portugal Fernando Gomide, Brazil Jose Antonio Iglesias Martínez, Spain Lazaros Iliadis, Greece Nik Kasabov, New Zealand Juš Kocijan, Slovenia Ana Kosareva, Germany Rudolf Kruse, Germany Agapito Ledezma, Spain Daniel Furtado Leite, Brazil Andre Lemos, Brazil Chin Teng Lin, Taiwan Edwin Lughofer, Austria Yannis Manolopoulos, Greece Trevor Martin, UK Moamar Sayed Mouchaweh, France Veronika Nesheva, UK Seiichi Ozawa, Japan Witold Pedrycz, Canada Radu-Emil Precup, Romania Jose de Jesus Rubio, Mexico Araceli Sanchis de Miguel, Spain Horst Schulte, Germany Olga Senyukova, Russia Teck Hou Teng, Singapore Marley Vellasco, Brazil Di Wang, UAE Wilson Wang, Canada Ronald Yager, USA ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Laboratory of Modeling, Simulation and Control, University of Ljubljana * Laboratory of Autonomous Mobile Systems, University of Ljubljana ##########################################################################

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Workshop on Brain dynamics on multiple scales -- 19-23 June 2017, Dresden
by Thomas Wennekers Nov. 14, 2016

Nov. 14, 2016

Call for participation Workshop on Brain dynamics on multiple scales – paradigms, their relations, and integrated approaches MSBDy 2017, 19-23 June, Dresden, Germany WORKSHOP WEBSITE: http://www.pks.mpg.de/msbdy17/ APPLICATION DEADLINE: 28 Feb 2017 ABSTRACT Previous research paradigms in the brain sciences have often focused on one spatial or temporal scale only, for instance defined by the experimental technique of choice or a specific set of cognitive phenomena. This workshop aims at exploring paradigms and concepts such as complexity, information, or dynamical systems that provide bridges, links, relations, or connections between two, three or more "elements of brain science" and link them to recent developments in mathematics, physics, and neurobiological experimental techniques. Workshop sessions 1. The Brain as a complex system complex networks, dynamics and criticality, understanding the interplay between structure, dynamics, and function. 2. Information Processing and Coding : what is the current state in using information-theoretic principles like infomax, complexity measures, evidence, or surprise as tools to understand the brain? 3. Brain Oscillations, Waves and Synchronisation : what are their functional roles? 4. Multiple scales and levels: what are proper "building blocks" of the brain or a brain theory? 5. Large scale cognitive brain systems: what are the best approaches to an understanding of high level cognitive and brain functions including consciousness? DETAILS The workshop takes place on the premises of the Max Planck Institute for the Physics of Complex systems in Dresden. Thanks to a generous grant by the MPIPKS participation in the event is free, with the exception of a modest fee of Euro 120 for social dinners, excursions and coffee breaks. The grant otherwise covers food and subsistence in the guest house of the MPIPKS for accepted participants. Posters can be hung for the duration of the meeting. To apply, please follow: http://www.pks.mpg.de/msbdy17/ IMPORTANT DATES: - Application Deadline: 28 Feb 2017 - Notification of acceptance: 31 Mar 2017 - Workshop Date: 19 Jun - 23 Jun 2017 SPEAKERS Nicolas Brunel (Univ Chicago, USA) Bruno Cessac (INRIA, Sophia Antipolis, France) Gustavo Deco (UPF Barcelona, Spain) Stanislas Dehaene (INSERM-CEA, College de France) Alain Destexhe (UNIC, CNRS, France) Markus Diesmann (Jülich Research Centre, Germany) Ole Jensen (Donders Institute, Nijmegen, NL) Mark A Kramer (Boston University, USA) Anders Lansner (Stockholm University and KTH, Sweden) Christoph Michel (Université de Genéve, Switzerland) Juergen Jost (MPI for Mathematics in the Sciences, Leipzig, Germany) Guenther Palm (University of Ulm, Germany) Simon Schulz (Imperial College London, UK) Elad Schneidman (Weizmann Institute of Science, Rehovot, Israel) Marc Timme (MPI für Dynamik und Selbstorganisation, Göttingen, Germany) Giulio Tononi (University of Wisconsin-Madison, USA, to be confirmed) Vlad Vyazovskiy (University of Oxford, UK) ORGANIZERS Peter Achermann (University of Zurich, Switzerland) Eckehard Olbrich (MPI for Mathematics in the Sciences, Leipzig, Germany) Thomas Wennekers (University of Plymouth, UK) ACKNOWLEDGMENT: This workshop is supported by the Max Planck Institute for the Physics of Complex Systems. ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Postdoc position in Amsterdam - http://herseninstituut.nl/en/about-us/vacancies/postdoctoral-researcher/
by Ingo Willuhn Nov. 14, 2016

Nov. 14, 2016

A postdoctoral position in the Willuhn/Denys lab at the Netherlands Institute for Neuroscience (NIN) in Amsterdam is available immediately. I am looking for somebody that comes from a computational angle and is analysis-savvy. The candidate should be interested in studying cortico-basal ganglia function (reward learning; behavioral flexibility; compulsivity due to dysfunction) with cutting-edge tools in behaving rats. Our team has a lot to offer and can teach the basic neuroscience-related skills to candidates inexperienced in that area: The pre-clinical group headed by Ingo Willuhn studies both the neurobiology of compulsive behavior and basic behavioral functions contributing to automation of behavior (http://herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/) The team has close ties to clinical researchers studying such behaviors at the Department of Psychiatry of the Academic Medical Center (AMC; chaired by Damiaan Denys), providing optimal conditions for a translational, multidisciplinary approach. Current research in the lab includes rodent models of obsessive-compulsive disorder and drug addiction, but also aims at understanding basic behavioral function of cortico-basal ganglia circuits. Behavioral assays testing cognitive flexibility, emotion, and decision making in mice and rats are combined with simultaneous methods for neurostimulation (DBS, optogenetics, pharmacogenetics), neurochemical measurements (microdialysis, fast-scan cyclic voltammetry), electrophysiological recordings (single units, local field potentials), and fMRI. The latest addition to this tool set is in vivo calcium imaging in freely-moving animals. The primary focus of the successful applicant will be to investigate real-time neurobiological signals in the basal ganglia during operant behavior using in vivo fast-scan cyclic voltammetry and in vivo calcium imaging in freely-behaving transgenic rats. The goal of these studies is to better characterize neuronal mechanisms of cognitive flexibility and habit formation, and eventually compulsive behavior. The ideal candidate has a strong background in the analysis and modeling of complex data and is an expert in using Matlab and/or similar software packages (necessary). Experience in neuroeconomics, calcium imaging, or rodent behavioral testing in neuroscience is a bonus, but not necessary. Candidates should be enthusiastic, have excellent oral and written communication skills in English, and should be motivated to integrate well into a fun, creative, and collaborative team of international scientists that offers opportunities to cooperate with some of the best groups in the field worldwide. The fully funded position is for a period of four years (1 + 3 years), including competitive salary and excellent benefits. Highly motivated candidates are encouraged to contact Ingo Willuhn (i.willuhn(a)nin.knaw.nl<mailto:i.willuhn@nin.knaw.nl>). Your email should contain a CV, brief descriptions of past research experience, future research goals, and contact info for at least two people that could provide letters of reference. The Netherlands Institute for Neuroscience (NIN) is a not-for-profit subsidiary of the prestigious Royal Netherlands Academy of Arts and Sciences (KNAW), located in the South of beautiful Amsterdam, just a short train ride from the inner city. The institute’s operating language is English, as it is for many Amsterdam organizations. The NIN collaborates with the AMC Department of Psychiatry, part of the University of Amsterdam, conducting neurobiological and patient-centered research on compulsivity, anxiety, depression, psychosis, and addiction. The department aims at developing a better understanding of neuropsychopathology and at improving treatment options. Best, Ingo ----- Ingo Willuhn, PhD Group Leader & Associate Professor Team 'Neuromodulation and Behavior' Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW) & Department of Psychiatry, Academic Medical Center (AMC), University of Amsterdam (UvA) Meibergdreef 47 1105BA Amsterdam The Netherlands i.willuhn(a)nin.knaw.nl<mailto:i.willuhn@nin.knaw.nl> tel (31) 20 5665491 www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/<http://www.herseninstituut.nl/en/research/researchgroups/denyswilluhn-group/> www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Research.htm?p…<http://www.amc.nl/web/Research/Who-is-Who-in-Research/Who-is-Who-in-Researc…>

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PhD position in computational neuroscience / neuro-robotics
by Claudius Gros Nov. 14, 2016

Nov. 14, 2016

I would like to bring your attention to our PhD-program in Computational Neurosciences / Neuro-Robotics / Dynamical Systems At the Institute for Theoretical Physics, Goethe University Frankfurt Field(s): complex systems theory, computational neurosciences neural models and networks, dynamical systems Application deadline: January 7, 2017 Supervisor: Prof. Dr. Claudius Gros E-mail: cgr(a)itp.uni-frankfurt.de Address: Institute for Theoretical Physics, Goethe University Frankfurt, Project description: Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Frankfurt University. We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals, attractor metadynamics, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including studies of the autonomous brain dynamics and/or studies of new synaptic plasticity rules, like trace formulations of STDP and the interplay between short term synaptic plasticity and neural dynamics. The work will include analytical investigations and numerical simulations of neural models and neural networks, using the toolset of dynamical systems theory. The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master. The appointments will start early 2017, for up to three years. Interested applicants should submit a curriculum vitae, a list of publications and arrange for two letters of reference to be sent to the address below. Prof. Dr. C. Gros Institute for Theoretical Physics Goethe University Frankfurt Max-von-Laue-Str. 1 60438 Frankfurt am Main Germany cgr(a)itp.uni-frankfurt.de http://itp.uni-frankfurt.de/~gros -------------------------------------- General information on the University of Frankfurt and its employment policy. With its around 46000 students and 4600 employees, the Goethe University in Frankfurt is the largest university in the state of Hessen and an internationally renowned, important regional employer. Numerous quality and performance oriented internal reforms have been initiated in the recent years. The reorganized campuses for natural sciences and humanities offer an ideal environment for research and education. Since 2008, the Goethe University is a foundation under public law and enjoys full administrative autonomy. The fixed-term employment of the academic staff is subject to the provisions of the Temporary Science Employment Law (Wissenschaftszeitvertragsgesetz) and the Hessian Higher Education Act (Hessisches Hochschulgesetz). The University advocates gender equality and therefore strongly encourages women to apply. People with disabilities are given preference if equally qualified. ***************************************** *** Prof. Dr. Claudius Gros *** *** +49 (0)69 798 47818 *** *** http://itp.uni-frankfurt.de/~gros *** ***************************************** ----------------------------------------------------------- --- Complex and Adaptive Dynamical Systems, A Primer --- --- A graduate-level textbook, Springer (2008/10/13/15) --- -----------------------------------------------------------

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PhD position, Neurocomputational Linguistics, Uni Bham / Google Research London
by Uta Noppeney Nov. 13, 2016

Nov. 13, 2016

*PhD position in Neurocomputational Linguistics* *University of Birmingham in collaboration with Google Research London* Language comprehension is critical for effective interactions in our social world. In order to understand ‘who does what to whom’ in natural language processing, the brain needs to assign a syntactic structure to every sentence – a process coined ‘syntactic parsing’. This interdisciplinary project will combine expertise from human neuroscience (University of Birmingham) and computational linguistics (Google Research London) to determine the neural mechanisms underlying sentence comprehension in the human brain and advance parsing algorithms in machines. To study natural language processing and the underlying neural mechanisms in humans, we will measure eye movements, behavioural (psychophysics) and electrophysiological responses (EEG/fMRI) in participants reading natural sentences from syntactically annotated corpora. We will employ advanced machine learning algorithms to characterize the computational operations and neural mechanisms underlying syntactic processing in the human brain. Conversely, the insights obtained from human neuroimaging (EEG/fMRI) and eye tracking will provide critical constraints on the parameters and algorithms used in machine. The PhD position is designed to involve a 3 month internship at Google Research London. The Computational Cognitive Neuroimaging Group (Uta Noppeney) in collaboration with Google Research London (Bernd Bohnet, Ryan McDonald) is seeking an enthusiastic PhD candidate with strong analytical and quantitative abilities. Applicants should have a background in computational linguistics, neuroscience, computer science, psychology, physics or related areas. Prior experience in statistical analysis and/or machine learning would be an advantage. The Computational Cognitive Neuroimaging Lab is based at the Department of Psychology and the Computational Neuroscience and Cognitive Robotics Centre of the University of Birmingham, UK. The centre provides an excellent multidisciplinary, interactive and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. The psychology department was rated 5th in the UK research assessment exercise. http://www.birmingham.ac.uk/schools/psychology/research/labs/comp-cog-neuro… http://www.birmingham.ac.uk/research/activity/cncr/index.aspx Applications will be considered until 8th January 2017. The starting date is Sept/Oct 2017. iCASE students must fulfil the MIBTP entry requirements and will join the MIBTP cohort for the taught modules and masterclasses during the first term. They will remain as an integral part of the MIBTP cohort and take part in the core networking activities and transferable skills training. For further information, please contact u.noppeney(a)bham.ac.uk <mailto:u.noppeney@bham.ac.uk>. Check eligibility and apply here: https://www2.warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/ap… <https://www.findaphd.com/common/clickCount.aspx?theid=79324&type=184&DID=14…>

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Postdoctoral Position in Clinical Neuroengineering at University of Geneva, Switzerland
by Tomislav Milekovic Nov. 12, 2016

Nov. 12, 2016

Postdoctoral Position in Clinical Neuroengineering at University of Geneva, Switzerland The lab of Prof. Christoph Michel at the University of Geneva is offering a postdoctoral position financed by the Swiss National Science Foundation for up to three years to work on clinical neuroengineering projects aimed at: 1. Restoring communication and independence of people with tetraplegia and locked-in syndrome. 2. Advance the analysis of scalp and intracranial EEG signals with functional connectivity tools and implement them in brain-computer interfaces. The position will be equally shared between Dr. Tomislav Milekovic and Prof. Christoph Michel. With Dr. Milekovic, the postdoc will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. These brain-computer interfaces will utilize adaptive decoders in order restore independence of people with locked-in syndrome. With Prof. Michel, the postdoc will use invasive and non-invasive brain recordings to study functional connectivity between brain areas in healthy volunteers and people with a range of neurological disorders. He will use the gained knowledge to improve brain-computer interfaces and closed-loop neurofeedback systems. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the analysis of electrophysiological signals (EEG, ECoG, LFP, spikes) 3. Experience in quantitative neural data analysis and Matlab 4. Experience in C/C++ software development 5. Experience in developing and using neural decoders The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. He will collaborate with several labs of the newly founded Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking amongst the highest in the world. Applications including a CV, statement of research interests, and the names and full contact details of two referees should be sent to tomislav.milekovic(a)epfl.ch.

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Postdoctoral Position in Neuroprosthetics at University of Geneva, Switzerland
by Tomislav Milekovic Nov. 12, 2016

Nov. 12, 2016

Postdoctoral Position in Neuroprosthetics at University of Geneva, Switzerland The group of Dr. Milekovic at the University of Geneva is offering a postdoctoral position financed by the Parkinson Schweiz foundation for up to two years to take a lead role on a neuroprosthetics project aimed at alleviating gait deficits of Parkinson's disease. The postdoc will be involved in all stages of the project, including the analysis of intracortical neural signals, development of movement decoding algorithms and the development of a brain-spine interface system aimed to alleviate the Parkinson's disease motor deficits through brain-controlled spinal cord stimulation. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the analysis of electrophysiological signals (spikes, LFP, ECoG, EEG) 3. Experience in quantitative neural data analysis and Matlab 4. Experience in C/C++ software development 5. Experience in developing and using neural decoding algorithms 6. Experience in implanting intracortical microelectrode arrays in non-human primates 7. Experience in working with non-human primates The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. He will closely collaborate with the groups of Profs. Gregoire Courtine, Stephanie Lacour and Silvestro Micera of EPFL, and enjoy a strong support of Lausanne University Hospital (CHUV) surgeons, led by Dr. Jocelyne Bloch. Furthermore, he stands to benefit from the unique working environment of the newly founded Campus Biotech in Geneva, which houses the basic and clinical neuroscientists of the University of Geneva, translational researchers of EPFL's Center for Neuroprosthetics, and the regulatory and engineering experts of the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities and is one of the leading technical universities worldwide. In addition, University of Geneva offers highly competitive postdoctoral salaries ranking amongst the highest in the world. Situated in Switzerland on the coast of lake Leman and surrounded by pristine mountains famous for both summer and winter sports, Geneva prides itself as a pleasant and safe living and working environment. Applications including a CV, statement of research interests, and two reference letters should be sent to <mailto:tomislav.milekovic@epfl.ch> tomislav.milekovic(a)epfl.ch.

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Neuroengineering postdoctoral fellowships at the University of Washington
by Alison S. Mehravari Nov. 10, 2016

Nov. 10, 2016

We invite applications for the Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering at the University of Washington in Seattle. These fellowships are offered through the UW Institute for Neuroengineering (UWIN), which links advances in biology, computing, devices, data science, and computational neuroscience to solve some of today's greatest scientific challenges about neural system function. These highly selective fellowships fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines is strongly encouraged. The fellowships provide two years of funding including a $65,000 annual salary and a $25,000 research stipend. Applications are due by January 16, 2017. Please see http://uwin.washington.edu/post-docs/ for more information. ------------------------- Alison Mehravari, Ph.D. Assistant Director of Operations University of Washington Institute for Neuroengineering Air Force Center of Excellence: Nature Inspired Flight Technologies and Ideas Daniel Lab, Department of Biology University of Washington Box 351800, Seattle, WA 98195 amehrava(a)uw.edu<mailto:amehrava@uw.edu>, 206-543-7335

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PhD position in the Blue Brain Project, Ecole Polytechnique Federale de Lausanne (EPFL)
by Ramaswamy Srikanth Nov. 10, 2016

Nov. 10, 2016

----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Digital Reconstruction of Cholinergic Neuromodulation of Neocortical Microcircuitry Supervisors: Dr. Srikanth Ramaswamy, Prof. Henry Markram Keywords: Neocortex, microcircuits, simulation, neuromodulation, acetylcholine, dendrites, synaptic transmission, network activity Project description: Neuromodulators are chemical messengers - hormones, neuropeptides, and neurotransmitters - that diffusely target neurons and synapses in specific brain regions. Distinct groups of neurons located in subcortical areas release neuromodulators such as acetylcholine (ACh), noradrenaline, serotonin, dopamine, and histamine. These neuromodulators directly control information processing in neocortical microcircuits by modulating shifts between activity states such as sleep and wakefulness, or distraction and attention. Neuromodulators are also directly implicated in a spectrum of debilitating disorders such as migraine, schizophrenia, Alzheimer’s and Parkinson’s disease. Yet, despite their crucial role in physiology and pathology, we lack a detailed understanding of the way they regulate the function of dendrites, synapses, neurons, and network activity in neocortical microcircuitry. The objective of the proposed PhD project will be to devise, implement and study biophysical models of ACh neuromodulation of neocortical microcircuitry. The project will leverage the Blue Brain Project’s data-driven digital reconstruction of neocortical microcircuitry1, 2, and augment it with biophysical models of the anatomy and physiology of ACh neuromodulation of somatosensory cortex. Specifically, the project will implement and constrain cellular and synaptic models of ACh neuromodulation and study its regulation of cortical activity states. The project requires active collaboration with the Laboratory of Neural Microcircuitry (LNMC), EPFL to design neurophysiological experiments in thenrodent somatosensory syetem and integrate relevant data into the digital reconstruction. Significant computing resources on a large high performance computing system will be made available for this project. 1. Markram, H.*, Muller, E.*, Ramaswamy, S.*, Reimann, M.* et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495. * Co-first author. 2. Ramaswamy S.*, Courcol J-D.*, Abdellah M., Adaszewski S.R., Antille N. et al. (2015). The Neocortical Microcircuit Collaboration Portal: A Resource for Rat Somatosensory Cortex. Front. Neural Circuits 9:44. *Co-first author. Key collaborators: Dr. Rodrigo Perin (EPFL-LNMC), Ms. Ayah Khubieh (EPFL-LNMC), Dr. Eilif Muller (EPFL-BBP), Dr. Fabien Delalondre (EPFL-BBP), Prof. Felix Schürmann (EPFL-BBP), and Prof. Idan Segev (Hebrew University, Jerusalem). This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Srikanth Ramaswamy <srikanth.ramaswamy(a)epfl.ch<mailto:srikanth.ramaswamy@epfl.ch>> ------------- Dr. Srikanth Ramaswamy EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 9633 Fax: +41 21 693 5350 www: https://people.epfl.ch/srikanth.ramaswamy

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Simons-Berkeley Research Fellowship - Call for Applications
by Bruno Olshausen Nov. 10, 2016

Nov. 10, 2016

Simons-Berkeley Research Fellowship -- Call for applications In Spring 2018 the Simons Institute for the Theory of Computing will hold a semester-long program on Brain and Computation, see https://simons.berkeley.edu/programs/brain2018 The Institute invites applications for Simons-Berkeley Research Fellowships in connection this program. Simons-Berkeley Research Fellowships are intended for exceptional young scientists (within at most six years of the award of their PhD at the start of 2017-18 academic year). Applicants who already hold junior faculty or postdoctoral positions are welcome to apply. In particular, applicants who hold, or expect to hold, postdoctoral appointments at other institutions are encouraged to apply to spend one semester as a Simons-Berkeley Fellow subject to the approval of the postdoctoral institution. The Institute expects to award about 30 Fellowships in 2017-18; the majority of these are for one semester, but several appointments for a full academic year are expected to be made. In each semester of residence each Fellow will normally participate in at least one of the ongoing programs at the Institute. The Simons Institute for the Theory of Computing is a major international venue for collaborative research in theoretical computer science and related fields. The Institute is housed on the UC Berkeley campus, and provides a vibrant and welcoming environment for visiting researchers. In each academic semester the activities of the Institute are largely focused on specific research programs, each of which attracts around sixty long-term participants ranging from senior scientists to graduate students. Salaries and benefits are competitive and assistance with visas and housing will be provided. The Institute particularly encourages applications from women and minority candidates. For more on the Simons Institute and application instructions for the Simons-Berkeley Research Fellowships, please see https://simons.berkeley.edu/fellows2017 The deadline for receipt of complete application materials (except letters) is December 15, 2016. --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute & School of Optometry Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 http://redwood.berkeley.edu/bruno

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Neural Processing Letters: 2nd CFP for the Special Issue on "Off the mainstream: advances in neural networks and machine learning for pattern recognition"
by Friedhelm Schwenker Nov. 9, 2016

Nov. 9, 2016

2nd Call for Papers Special issue on Off the mainstream: advances in neural networks and machine learning for pattern recognition to be published in Neural Processing Letters *** Submission deadline: January 31, 2017 *** Guest editors: Edmondo Trentin, University of Siena, Italy (trentin(a)dii.unisi.it) Friedhelm Schwenker, University of Ulm, Germany (friedhelm.schwenker(a)uni-ulm.de) Nemat El Gayar, Cairo University, Egypt (elgayar.neamat(a)gmail.com) Hazem M. Abbas, Ain Shams University, Egypt (hazem.abbas(a)eng.asu.edu.eg) Aims and scope of the special issue: "Mainstream science is about publishing what everyone else is publishing with very small changes. You'd better at least start off that way if you want to get tenure," the sociologist Rodney Stark said. But "big ideas don't come to those who avoid risk", as John Bohannon added. The area of artificial neural networks (ANN) and machine learning (ML) makes no exception to these ends: Mainstream topics, originally stemming from exciting breakthroughs (the "big ideas") that gradually become trends and end-up being mostly over-beaten publishing tracks, have characterized the scientific literature throughout the whole history of these research fields. A few, widely known instances of such (more or less recent) mainstream trends are: - Supervised support vector machine training (in both primal and dual) - Supervised multilayer perceptron training via regular backpropagation - Radial basis functions networks - Bayesian networks (either shallow or deep) - Deep feed-forward and convolutional neural networks - Countless applications of the aforementioned machineries - The “approximation capabilities” of such machineries Based on these premises, this special issue invites paper submissions on real novel research developments in the areas of neural networks and learning machines that (1) are rooted in (or, aimed at) pattern recognition (PR), and that, above all, (2) do not follow in the footsteps of nowadays established trends. Preference (over applications, theoretical analysis, and variants of established techniques) will thus be given to submissions that hand out fresh and innovative ideas/architectures/algorithms, even if they are in their infancy (e.g., possibly lacking of a complete investigation of their theoretical properties). A detailed list of topics of interest would contradict the very perspective of the present special issue. Nonetheless, some general, topical research directions are (to name a few): - New ANN or ML architectures - New ANN, ML, or PR algorithms - New estimation/optimization/assessment techniques for ANNs, ML, or PR - New and sound combination/hybridization of machines - Solutions to new, relevant PR-related problems - New and sound solutions to established PR-related problems If you are not sure on whether your manuscripts matches the aims and scope of this special issue or not, do not hesitate to get in touch with the guest editors at any time. The special issue will comprise (a) papers submitted in response to this call, and (b) extended versions of selected papers from the ANNPR 2016 Workshop (https://neuro.informatik.uni-ulm.de/ANNPR2016/) sponsored by the International Association for Pattern Recognition. Paper submission: Papers must be submitted online via the Neural Processing Letters website (https://www.editorialmanager.com/nepl/default.aspx) selecting the choice that indicates this special issue (identifier: S.I.:Off_mainstream). Prepare your paper following the Journal guidelines for Authors (http://www.springer.com/computer/ai/journal/11063?detailsPage=pltci_1060677) All submitted papers will undergo a regular peer-review process. Important dates: Opening of electronic submission: September 1, 2016 Submission deadline: January 31, 2017 Completion of 1st round of review process: March 31, 2017 Re-submission of revised manuscripts: May 15, 2017 Final decision: June 30, 2017 Tentative publication of the Special Issue: Fall 2017 -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Video course on understanding higher cognition in terms of brain anatomy and physiology
by Andrew Coward Nov. 7, 2016

Nov. 7, 2016

A 29 lecture video course on approaches to understanding cognitive processes in terms of brain anatomy and physiology is now available at www.understandinghighercognition.com<http://www.understandinghighercognition.com> The lectures are based on a course given to third year and graduate students in computer science, psychology and neuroscience at the Australian National University in Canberra and also at Simon Fraser University in Vancouver, Canada. Topics covered include: - The nature of understanding: lessons from the computer science approach to understanding complex systems - Major cognitive phenomena: attention; different types of memory; speech and consciousness - Key topics in brain anatomy, physiology and chemistry - Practical pressures on brain architecture exerted by natural selection: resource limits, learning without interference with prior learning, etc; - Architectural forms resulting from the practical pressures - Evidence for the existence of the predicted architectural forms in the brain; how to use the forms to support understanding - Understanding attention and different types of memory: semantic, episodic, priming, working and procedural memory - Understanding specific cognitive tasks - Understanding human consciousness and self awareness. Each lecture is divided into 5 - 10 minute topic videos. Lecture format is mainly images and graphics supported by verbal explanations. Textbook for the course is "Towards a Theoretical Neuroscience: from Cell Chemistry to Cognition<http://www.springer.com/us/book/9789400771062>" <http://www.springer.com/us/book/9789400771062> published by Springer. Access to the lectures is free.

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Post-Doctoral Position to Research Mediating and Moderating Factors that Determine Transfer of Working Memory Training at UC Riverside and UC Irvine.
by Aaron Seitz Nov. 5, 2016

Nov. 5, 2016

Please forward the below to anyone that you think might be interested. Thanks, -Aaron Post-Doctoral Position to Research Mediating and Moderating Factors that Determine Transfer of Working Memory Training at UC Riverside and UC Irvine. Aaron Seitz (UCR) and Susanne Jaeggi (UCI) are seeking to hire a post-doctoral researcher to work on a project funded by the National Institute of Mental Health entitled ³The Understanding Mediating and Moderating Factors that Determine Transfer of Working Memory Training² (https://ucrtoday.ucr.edu/40627 <https://ucrtoday.ucr.edu/40627> ). This individual is expected to take a lead role in designing and conducting experimental work investigating features of training that differentially lead to learning and transfer of learning, participant characteristics that determine predispositions for different training outcomes, and develop and implement tests that are valid towards assessing potential far transfer of working memory training to ecological settings. This project, which intends to run 31,000+ research participants (online and in lab) on working memory training, aims to generate a robust and reliable dataset on Working Memory training to settle current debates in the field and translate these findings to promote more effective methods of cognitive rehabilitation. Successful candidates should have strong technical skills, management skills, creativity and perseverance required to play a lead role in this sizeable project, and have expertise in one or more of the following areas and knowledge of the others; working memory, cognitive training, perceptual learning, and methods of assessing individual differences and effects of interventional studies. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. The post-doctoral researcher will be involved at all stages of the proposed research, including setting up experiments, collecting and analyzing data, training and supervision of graduate students and undergraduate research assistants, and dissemination of results at conferences and in research publications. The postdoc will spend equal time on the UCR and UCI campus and work closely with both Seitz and Jaeggi to insure that procedures are coordinated between the sites and that all personnel are properly trained and supervised. The primary appointment will be at the UC Riverside Brain Game Center for Mental Fitness and Well-being (http://braingamecenter.ucr.edu/ <http://braingamecenter.ucr.edu/> ). The Brain Game Center¹s mission is to research, test, and disseminate evidence-based, scientifically optimized brain fitness games that transfer benefits to real-life activities. The Center has recently moved into a 3000 square foot facility that provides an ideal environment for the proposed work with a staff of full time research coordinators, full time programmers and a team of postdocs, graduate students, and an army of research assistants that facilitates the development, testing and dissemination of brain training games and cognitive assessment tools. The Brain Game Center is the only university-based research center focused on research of brain training games, and it has a track record of making tested procedures publically available so that people can try them out for themselves. The post-doc will also spend time at the UCI Working Memory and Plasticity Lab (http://wmp.education.uci.edu <http://wmp.education.uci.edu/> ) whose mission lies in the development of working memory interventions for populations across the lifespan, with the aim to understand the underlying cognitive and neural mechanisms that drive training-related changes using behavioral and neuroimaging methods, as well as transcranial electrical stimulation. The WMP lab currently employs 3 full-time research coordinators, as well as a team of undergraduate research assistants, and graduate students from both, the School of Education and the Department of Cognitive Sciences, and there is a host of ongoing national and international research collaboration providing opportunities for networking and intellectual exchange. Candidates should send a cover letter, CV, relevant publications, and the names of three references with phone numbers and email addresses to: Aaron Seitz aseitz(a)ucr.edu <mailto:aseitz@ucr.edu> ) and/or Susanne Jaeggi (susanne.jaeggi@u <mailto:susanne.jaeggi@gmail.com> ci.edu <http://ci.edu/> ). Review of materials will begin immediately and will continue until the position is filled. ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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2 postdoctoral positions at the University of Pennsylvania
by Maria Neimark Geffen Nov. 3, 2016

Nov. 3, 2016

2 postdoctoral positions: Neuronal circuits for dynamic auditory perception. The Geffen Laboratory at the University of Pennsylvania (Philadelphia, PA, USA) has two openings for a postdoctoral researcher (one experimental and one theoretical/computational) to study the neuronal circuits for dynamic auditory perception. There are a number of projects available, including: investigating intra-cortical and subcortical circuits supporting auditory adaptation; identifying neuronal circuits for hearing in the presence of noise; unraveling neuronal circuits controlling learning-driven changes in auditory acuity. We use cutting-edge experimental techniques for investigating population neuronal activity, including two-photon imaging of Calcium activity in behaving, head-fixed rodents, large-scale electrophysiological chronic and acute recordings, optogenetic, pharmacological and behavioral techniques. We are a creative, productive and collaborative group. Please see our lab website for more details on ongoing projects in the laboratory and recent publications ( http://www.med.upenn.edu/hearing <http://www.med.upenn.edu/hearing> ). The ideal candidate will be an energetic, talented, friendly, enthusiastic and creative researcher, who has recently completed (or plans on completing) their PhD and has received training in neuroscience, psychology, chemistry or biology (for the experimental position) or computational neuroscience, physics, mathematics or computer science (for the computational position). Prior experience in systems neuroscience is desired, but a highly successful applicants wishing to switch to neuroscience from other fields will also be considered. Proficiency with Matlab or other scientific computing software is expected. The campus of the University of Pennsylvania <http://www.upenn.edu/> has a wonderful collegiate feel, and the Medical School is located on the main campus, facilitating collaborations across departments. For a sample of events that almost everyone in our lab attends, consider: a weekly lab meeting, a weekly Computational Neuroscience Initiative seminar, a bi-weekly auditory journal club, a weekly interdisciplinary Mind and Brain seminar, and much more. Philadelphia is a vibrant city with a variety of cultural, gastronomical and entertainment attractions. To apply, please send your CV along with a cover letter briefly summarizing your research interests and include pdfs of your recent publications to Prof. Maria N. Geffen mgeffen(a)med.upenn.edu <mailto:mgeffen@med.upenn.edu> .

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Visit the Bernstein Network at booth #4017 at SfN 2016 for your next career step in Computational Neuroscience
by Kerstin Schwarzwaelder Nov. 3, 2016

Nov. 3, 2016

Dear all, The Bernstein Network Computational Neuroscience will exhibit at the SfN Meeting 2016. Please find us at the "Neuroscience in Germany" booth #4017. The booth will present: * research fields * study and training programs * open positions * research and funding opportunities We are looking forward to welcoming you at booth #4017! Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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3 Research fellow positions at the University of Sussex
by Thomas Nowotny Nov. 2, 2016

Nov. 2, 2016

We have 3 open positions for research fellows in Computational Neuroscience, bio-inspired Robotics and Computer Science (GPU accelerated computing). The positions are part of the new Brains-on-Board project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1) which is a multi-university collaboration aiming to create robotic controllers that will enable autonomous robots with the navigational and learning abilities of a honeybee. The project involves five research groups at the University of Sheffield, Queen Mary University, London, and the University of Sussex performing research whose goal is biomimetic robot control and which will combine autonomous robotics, computational neuroscience, accelerated neural network simulations on GPU architectures and insect neuroscience and behaviour. In Sussex we are seeking to employ a team of 3 research fellows for initially 2 years, with possible extension up to 5 years. We envisage the fellows to start in January 2017. RF 1 (ref 1388) in bio-inspired robotics, will develop insect-derived models of navigation and apply them to autonomous robots. The work will include refining and developing models of insect navigation and testing them on robotic platforms ranging from the Sussex Gantry robot through wheeled robots to autonomous aerial vehicles. A successful candidate will have a keen interest in the interface of computational biology and bio-inspired robotics and a proven track record in working in this area. RF 2 (ref 1389) in Computational Neuroscience, will work on models of associative learning, multimodal integration and decision making in insects. The work will include formulating neuronal network models of the mushroom bodies, central complex and motor areas of the bee brain constrained by experimental data. The models will then be employed and tested on robotic platforms, including wheeled robots and aerial vehicles. A successful candidate will have a keen interest in computational neuroscience and experience with computational modelling. RF 3 (ref 1390) in Computer Science, working on GPU accelerated simulation of brain models and brain-inspired robot controllers, building on our GeNN meta-compiler and the SpineCreator/SpineML API to GeNN. The work will include developing methods for model- and hardware-aware GPU-accelerated simulations methods that will allow us to efficiently simulate both large-scale models in Computational Neuroscience on super-computers and bio-inspired robotic controllers on embedded systems GPU accelerators. A successful candidate will have proven skills in complex software development with a focus on scientific computing. All RFs will work together on the project within Sussex and in the larger Brains-On-Board team. We encourage applicants to apply for multiple positions if they are interested and feel qualified. Please indicate any preferences when applying for multiple positions. In order to apply got to http://www.sussex.ac.uk/aboutus/jobs/1388-1389-1390 where you can find further details and the application form. The closing date is 1 December 2016. For informal enquiries, please contact Prof Thomas Nowotny (t.nowotny(a)sussex.ac.uk<mailto:t.nowotny@sussex.ac.uk>) or Dr Andy Philippides (andrewop(a)sussex.ac.uk<mailto:andrewop@sussex.ac.uk>). With kind regards, Thomas -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

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PhD position @ Blue Brain Project - Plasticity in the neocortex
by emuller Nov. 2, 2016

Nov. 2, 2016

----------------------------------------------------------------------------- PhD position in the Blue Brain Project - Department of In Silico Neuroscience ----------------------------------------------------------------------------- Project title: Principles of biophysical structural plasticity in the neocortex Supervisors: Prof. Henry Markram, Dr. Eilif Muller Keywords: simulation, neocortex, plasticity, network reorganization, assemblies, coding, dendrites, calcium, NMDA Project description: During our lifetimes, our brains undergo continuous changes as a consequence of our experiences. Synaptic plasticity—the biological process by which brain activity leads to long-term changes in synaptic connections—is thought to be central to learning and memory. However, little is known about how this process shapes the specialization of biological neural networks, such as the neocortex. The objective of the present work will be to devise, implement and study data-driven biophysical models of synaptic and structural plasticity for the formation of functional neocortical networks. This project will leverage the Blue Brain Project data-driven reconstruction of a neocortical microcircuit [1], and augment it with data-driven biophysical calcium-based models of synaptic and structural plasticity. The specific objective of this PhD project will be to implement and constrain models of structural plasticity, and study the formation of assemblies, and emergent structure-function relationships in the presence of structured input. The prospective student will join an ongoing collaboration including international experts in biophysical modeling of plasticity and dendrites, topological analysis of network structure, and optimization of neural simulations for large supercomputers. A significant allocation of computing time on a large HPC system will be at the disposal of this project. [1] Markram, H., Muller, E., Ramaswamy, S., Reimann, M. et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495 (2015). Key external collaborators: Dr. Michael Graupner (CNRS, Université Paris Descartes), Prof. Idan Segev (Hebrew University Jerusalem) This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE). Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply. Application Deadline: Nov 15th, 2016. For further details on the project contact: Dr. Eilif Muller <eilif.mueller(a)epfl.ch> ------------- Dr. Eilif Muller Section Manager - In Silico Neuroscience - Experimentation EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller

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Fully funded postdoc position at the University of Geneva
by Jolivet, Renaud Nov. 1, 2016

Nov. 1, 2016

The University of Geneva seeks one postdoc in computational neuroscience to investigate the relation between information transfer at synapses and in neural networks, and concomitant energy consumption. The starting date is May 2017. This position is fully funded by the Swiss National Science Foundation for 24 months. Initial appointment is for one year. Research will be conducted in the medical physics group of the physics section at the University of Geneva, under the supervision of Prof. Renaud Jolivet. * Summary Information transmission in the brain is energetically expensive, yet has to satisfy demands of speed and signal-to-noise reliability. We have recently shown that the strong retinogeniculate synapse relaying information from the retina to the thalamus resolves these competing constraints by maximizing energetic efficiency when transferring information. In their physiological state, these synapses are not set to transmit the maximum amount of information possible: information transmission increases when larger excitatory postsynaptic currents (EPSCs) are injected into the postsynaptic thalamic neuron. However, EPSCs that are larger or smaller than physiological EPSCs decrease the information transmitted per energy used. The physiological EPSC size therefore maximizes energy efficiency rather than pure information transfer across the synapse. In other words, the retinogeniculate synapse trades information for energy savings (http://dx.doi.org/10.1016/j.cub.2015.10.063; http://dx.doi.org/10.1016/j.neuron.2012.08.019) These findings suggest maximization of information transmission per energy used as a design principle in the brain. However, it is unclear how broadly this principle applies. Whether energy efficiency at excitatory synapses is a special property of strong relay synapses, or a more general principle also governing synaptic inputs that contribute more weakly to determining the output of the postsynaptic cell is an open question. These findings also raise the question of what mechanisms are in effect in order to achieve energetic efficiency of information transfer at synapses. This project will address these questions using information theory and simulations of biologically validated neuron models. Applicants must imperatively be self-sufficient programmers (MATLAB preferred) and have a strong background in computational neuroscience. They should be familiar with several of the following topics: information theory, Hodgkin-Huxley models, the NEURON simulation environment, signal processing, models of synaptic plasticity, models of neural networks. Please contact renaud.jolivet(a)unige.ch<mailto:renaud.jolivet@unige.ch> for additional information. * About the University of Geneva (UNIGE) UNIGE is a generalist French-speaking university located in Geneva, Switzerland. The QS World University Rankings 2016 and Times Higher Education World University Rankings 2016/17 respectively rank UNIGE as 95th and 131st worldwide. It ranks 41st worldwide for science (Shanghai Academic Ranking of World Universities in Natural Sciences and Mathematics 2016). It is Switzerland’s second largest university with more than 17000 students of 150 different nationalities and about 4000 researchers of 113 nationalities, who study and work in 9 different faculties. UNIGE trains a large number of PhD students and postdocs in neuroscience. The various research and teaching activities are listed at http://neurocenter.unige.ch/ and at https://www.unil.ch/ln/en/home.html. UNIGE is also developing with other institutions a new campus in Geneva (http://www.campusbiotech.ch/en/) focusing heavily on neuroscience and translational research. Geneva is at the heart of a conurbation with more than 1.25 million inhabitants. It is a global city, a financial center, and worldwide center for diplomacy and research. It has one of the highest quality of life in the world. It offers varied cultural activities and outdoor opportunities being located at one extremity of Lake Geneva, one of the largest lakes in Europe, on the western doorstep of the Alps. The University of Geneva offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. It is an equal opportunity employer and women are encouraged to apply. The official language of the laboratory is English. * How to apply Please send an e-mail to renaud.jolivet(a)unige.ch<mailto:renaud.jolivet@unige.ch> with your resume, list of publications, a one-page statement describing your research interests and career plan, and the names of at least three references. — Prof. Renaud Jolivet CERN, Experimental Physics Department & University of Geneva, Physics Section +41 22 767 24 70 (CERN) +41 22 379 62 75 (UNIGE) +41 79 830 21 29 (mobile) renaud.blaise.jolivet(a)cern.ch<mailto:renaud.blaise.jolivet@cern.ch> https://sites.google.com/site/renaudjolivet/

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PhD position in cognitive modeling
by Angela Yu Oct. 31, 2016

Oct. 31, 2016

Applications are invited from highly motivated students to conduct PhD research in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Dr. Yu's group is situated within the Cognitive Science department of UCSD, but Dr. Yu advises students not only from the Cognitive Science, but also from Computer Science & Engineering, Electrical & Computer Engineering, and Neurosciences PhD programs. Interested students should apply directly to one or more of the PhD programs, and indicate Dr. Yu as a potential research advisor in the research statement. They are also encouraged to email Dr. Yu directly to explain why they think their interests/background are a good fit for working with Dr. Yu. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu <http://www.cogsci.ucsd.edu/~ajyu> —————————————————— ----------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science 858-822-3317 www.cogsci.ucsd.edu/~ajyu -----------------------------------

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Postdoc position in computational modeling
by Angela Yu Oct. 28, 2016

Oct. 28, 2016

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Accepted candidate would have great latitude in determining own research projects. Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Electrical Engineering Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute. Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>). Candidates are invited to explain in detail how their own research interests dovetail that of Dr. Yu's lab. Two or more letters of references should be sent directly to Dr. Yu. Dr. Yu will be interviewing candidates at the Society for Neuroscience Annual Meeting in San Diego, November 12-16, 2016. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu -------------------------------------

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MIT postdoc position in AI/neuroscience/physics
by Max Tegmark Oct. 27, 2016

Oct. 27, 2016

The MIT Physics Department invites applications for a postdoctoral research position to work with Professor Max Tegmark on the physics of intelligence, in partnership with Tomaso Poggio, Edward Boyden, Gabriel Kreiman and others associated with the Center for Brains, Minds & Machines (https://cbmm.mit.edu/about/people) and with a network of other collaborators. Research interests at the interface of theoretical physics, artificial intelligence and computational neuroscience are a strong plus. Candidates interested in exploring ways to test theories with state-of-the-art data and simulations are particularly welcome. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests and goals and should arrange for three letters of recommendation to be uploaded to this site by December 1, 2016. A Ph.D. in physics or physics-related discipline, such as AI or computational neuroscience, is required by the start of employment. Any inquiries should be sent to tegmark(a)mit.edu. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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PhD position: Dimension reduction for neural networks
by Laing, Carlo Oct. 25, 2016

Oct. 25, 2016

Funding is available for a PhD position in "Dimension reduction for neural networks" at Massey University (Auckland, New Zealand). Project description: An essential tool in the study of complex networks is dimension reduction, i.e. the discovery and then computational use of a small number of collective variables which completely describe the behaviour of the network to within some accuracy. Having such a reduced description can allow the drastic acceleration of computational tasks for modelling and predicting network behaviour, and provides a mechanism for discovering which details of a network are essential in determining its behaviour. This project involves the development of reduced models of networks of model neurons, in order to better understand their possible dynamics. An important aspect will involve investigating the role of heterogeneity (both in terms of a network's structure, and the intrinsic dynamics of a single neuron) in the networks' behaviour. The student should have the equivalent of an MSc in Mathematics (or other highly mathematical field such as Physics). A good knowledge of nonlinear dynamics and scientific programming is an advantage; no knowledge of neuroscience is assumed. The scholarship consists of a stipend of NZ$27,500 per year (tax free) plus applicable student fees for 3 years. Applicants must fulfil the PhD eligibility conditions of Massey University. Applicants should send a copy of their curriculum vitae, a statement of interest and the names and contact details of two (2) referees to Associate Professor Carlo Laing (E-mail: c.r.laing(a)massey.ac.nz<mailto:c.r.laing@massey.ac.nz>) Webpage: http://www.massey.ac.nz/~crlaing/ -- Associate Professor Carlo Laing. INMS, Massey University, Private Bag 102-904, NSMC, Auckland, New Zealand. ph: +64-9-414-0800 x 43512. fax: +64-9-443 9790 http://www.massey.ac.nz/~crlaing/

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PhD position in 'New insights into ADHD through behavioural and modelling studies'
by Eirini Mavritsaki Oct. 25, 2016

Oct. 25, 2016

Dear comp-neuro team, I was wondering if you could please forward the information below to your list about a new PhD position in our lab for February 2017 start. Kind regards, Eirini Mavritsaki PhD available for February 2017 start in 'New insights into ADHD through behavioural and modelling studies' Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. This is the limit of 'attention'. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. Our application's main aims is to access differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. This Ph.D. thesis aims to do this using a novel interdisciplinary approach, behavioural and computational modelling study together with a food diary. The Ph.D. is part of a bigger research project that is in collaboration with Dr Chrysavgi Tsakona in Russell Hall Hospital. The successful applicant will join the newly-established Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate to research seminars and to co-supervise undergraduate projects. Candidate Qualification and Specifications: Essential ? The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related social sciences subject. ? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). ? The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. ? The applicant should enjoy working with children. ? The applicant should have experience in computational modelling. Desirable ? A Masters' degree in research methods, psychology or a related social sciences subject. ? Work experience (voluntary or paid) in schools or experience working with children. ? Experience in C++ and/or Matlab. ? Access to a car and a valid driving licence. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Senior Lecturer in Cognitive Psychology and Director of Research for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Special Issue in Frontiers 'Neuropsychology through the lenses of computational modelling' http://fron.tiers.in/go/r2e3M4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Onsite interviews at SfN for Neural Data Analytics - Post Docs, Staff Scientists and Electrical Engineers
by Platt, Jo Ann Oct. 24, 2016

Oct. 24, 2016

Join our team to revolutionize medicine. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at the 2016 Neuroscience Meeting in San Diego for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt(a)northwell.edu for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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NIH BRAIN THEORIES--POSTDOCTORAL POSITION
by Stephen Jose Hanson Oct. 24, 2016

Oct. 24, 2016

NIH Post-doctoral Fellowship in BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Stephen José Hanson’s in the Department of Psychology and in RUBIC (Rutgers Brain Imaging Center) at Rutgers University, Newark, N.J. USA. The focus of research and training is in the area of computational neuroscience, and the development of brain network models based on graphical model selection using dynamical search procedures and the modeling of brain signals arising from neuroimaging data (e.g. fMRI). These projects will be performed in the lab of Dr. Hanson and in conjunction with Dr. Glymour’s (CMU) causal discovery research group. The ideal candidate will have a strong background in computation, statistics, probability theory, multivariate analysis and signal processing. Programming skill sets ( e.g., C++, R, Matlab, Debian, python) would be key to a successful candidate. Additionally, having background in neuroscience, neuroimaging or brain science more generally would be important to a successful application. This is a 2 year position with a 3 rd year possible. Starting date is flexible and with earliest start by December 1. Applications will be accepted until a candidate is hired. Inquiries should be addressed to Stephen José Hanson (jose(a)rubic.rutger s.edu). Please also send applications including a CV, statement of research interests, and the names and full contact details of three referees to jose(a)rubic.rutgers.edu. Relevant publications include: Ramsey J., Hanson S.J. Hanson C., Halchenko Y.O., Poldrack R.A., & Glymour C. (2010). Six problems for causal inference from fMRI. Neuroimage, 49, 1545-1558. Hanson, C., Hanson, S.J., Ramsey, J. & Glymour, C. (2013) Atypical effective connectivity of social brain networks in individuals with autism. J. Brain Connect. 3(6):578-89. Hanson, S. J. & Halchenko, Y. O. (2008). Brain reading using full brain support vector machines for object recognition: there is no face- identification area. Neural Computation, 20, 486-503 Poldrack, R.A., Halchenko, Y., & Hanson, S.J. (2010). Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychological Science, 20, 1364-1372 Ramsey, J., Glymour, M., Sanchez-Romero, R. and Glymour, C. (in Press) A million variables and more: The fa st greedy search algorithm for learning high dimensional graphical causal models, with an application to functional magnetic resonance images. International Journal of Data Science and Analytics. Rutgers is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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PhD position in Oxford
by Rafal Bogacz Oct. 24, 2016

Oct. 24, 2016

Dear Colleagues, Applications are invited from UK or EU residents for doctoral studies in computational neuroscience, to start in October 2017. The project will be supervised by Rafal Bogacz and will be carried out within the interdisciplinary team of the MRC Brain Network Dynamics Unit. The research can focus on areas investigated by Rafal Bogacz's Group, including: - models of decision making in the basal ganglia - optimising deep brain stimulation - predictive coding models of the cortex Candidates must have a very strong mathematical or computational background and an excellent undergraduate degree in a relevant discipline (e.g. computer science, engineering, mathematics, physics or neuroscience). An undergraduate 1st class or upper 2nd class degree (or equivalent grade) is required for graduate entry into Oxford. The minimum standards for English apply for applicants. This PhD (DPhil) studentship is funded by the Medical Research Council. To be eligible for a full award (stipend in addition to university/college fees) a student must have settled status in the UK, and must have been ‘ordinarily resident’ in the UK for three years prior to the start of the studentship. For further details about student eligibility requirements for full and fees-only awards, please see: http://www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/stude… Formal applications must be made via the University online application system. The relevant course code is: Doctor of Philosophy in Clinical Neurosciences – RD_CU1. In the covering letter, please describe the research you would like to conduct and clarify how your experience and skills would help you in that work. The closing date for applications is 12.00 noon on Friday 13th January 2017. Best wishes, Rafal

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Postdoctoral position in theoretical neuroscience - machine learning (RIKEN-BSI Japan)
by Andrea Benucci Oct. 19, 2016

Oct. 19, 2016

RIKEN Brain Science Institute - Japan Laboratory for Neural Circuits and Behavior www.benuccilab.net (Laboratory Head: Andrea Benucci) Research field Our laboratory studies the neural basis of sensory processing and decision-making in mice trained in behavioral tasks. We do so using a combination of computational and experimental approaches (electrophysiology, fluorescence imaging, and optogenetics). Job title and description: Postdoctoral positions The project will focus on using theoretical approaches based on machine learning (specifically on RNN) to capture key computational aspects of cortical processing in large neuronal populations. This work will be done in close collaboration with experimentalists to jointly design new experimental paradigms based on the theoretical simulations. Qualifications We seek exceptional candidates with a strong computational background, especially in the field of recurrent neural network simulations. Candidates should have a Ph.D. in a relevant field (e.g., Computational Neuroscience, Computer Science, Math, Physics). Proficiency in programming (e.g., MATLAB, C++) is necessary. The ideal candidate will be interested in engaging in experimental work as well. Work location The Neural Circuits and Behavior Team is located at RIKEN Brain Science Institute, Wako, Saitama, Japan. The institute is about 15 min away from the main Tokyo metropolitan area by train. Salary and benefits This is a funded position but applicants are strongly encouraged to apply for external funds. The employment contract is renewable on a yearly basis based on performance evaluation up to seven years from the start date. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Free, mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai) will be provided. These and other provisions are in accordance with RIKEN regulations. RIKEN is promoting a Gender Equity Program by taking various measures to create a workplace where both men and women are able to give full rein to their talents and abilities. http://www.riken.go.jp/en/careers/working-at-riken/benefits/ Application and required documents Interested applicants are encouraged to apply as soon as possible. Candidates should provide (1) cover letter, (2) CV and bibliography, (3) the names and contact information of three references (including the current supervisor, if available) with a brief description of your relationship to each reference. Send application to: andrea(a)benuccilab.net Selection process Applications will be reviewed as they are received. Shortlisted candidates will be invited to RIKEN-BSI for an in-person interview. --

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BrainModes conference - Brussels, Dec 1 and 2 - final call for abstracts
by Daniele Marinazzo Oct. 17, 2016

Oct. 17, 2016

Dear all Just a reminder and the final call for submitting an abstract for the poster presentation which will take place during the dinner at the BrainModes conference, that this year we will organize in Brussels, at the Royal Flemish Academy of Sciences (KVAB) on* Dec 1 and 2*. BrainModes (www.brainmodes.org) is an annual conference in which methods and models to interpret brain activity, and their applications are discussed. This year the theme will be: Coordinated brain activity: foundations and applications. We are proud of the lineup of speakers this year, including top experts in the field of computational, cognitive and clinical neuroscience. There will be also a workshop organized in Ghent on November 30 on methodological issues and demonstrations. The complete program, the info on registration, abstract submission and location are here http://www.da.ugent.be/brainmodes Please spread this information within your network of students and colleagues, and looking forward to see you. -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ https://twitter.com/dan_marinazzo BRAINMODES 2016 CONFERENCE http://www.da.ugent.be/brainmodes http://helpdesk.ugent.be/e-maildisclaimer.php

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Two postdoctoral positions at Kyoto U: Brain imaging and simulation
by Hidetoshi Urakubo Oct. 15, 2016

Oct. 15, 2016

Dear all, Integrated Systems Biology Lab at Kyoto U (Japan) invites applications for two post-doc positions. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Lab, Dep Sys Sci, Grad Sch Info, Kyoto U Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan Phone: +81-75-753-4908 Fax: +81-75-753-4907 Email: urakubo-h(a)sys.i.kyoto-u.ac.jp ============================================== 1. Reconstruction and simulation of neural circuits in the brain We invite applications for a post-doc researcher in the areas of 3D image processing, computational neuroscience, and/or neurophysiology. A new collaborative project with U Tokyo has been launched for large-scale 3D imaging of neural networks and their reconstruction/simulation. Thus, the applicant will firstly analyze microscopic 3D images to identify biological neuronal networks in collaboration with Kasai-lab in U Tokyo (http://www.bm2.m.u-tokyo.ac.jp/english/index.html) The project is a part of “Synaptic optogenetics for memory structures”, which is founded by Japan Science and Technology Agency. 2. AI and brain simulation We are seeking a highly motivated post-doc researcher in artificial intelligence (including deep neural networks), brain simulation, and/or high performance computing (HPC). Join us in the "post peta-flops computing" project, a government funded project with the goal of using the K supercomputer and its successor to (1) develop HPC-based frameworks for large-scale neural image processing and to (2) build an innovative and large-scale artificial intelligence that mimics brain’s information processing. For both positions, basic qualifications include PhD in relevant fields with proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. You will participate in the project with our tenure track and post-doc researchers from various backgrounds including computational neuroscience, systems biology, bioinformatics, mathematical engineering, and machine learning. Our laboratory is also collaborating on daily basis with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa institute of science and technology (OIST), RIKEN Brain Science Institute, and other international laboratories. [Job title and Job description] Title: Full-time Researcher / Full-time Research Engineer Begin Date: 1. April 1st 2017 (negotiable) 2. November 1st 2016 (negotiable) Location: Yoshida-Honmachi 36-1, Sakyo-Ku, Kyoto-city, Japan. 606-8501 Contract: Annually renewed based on evaluation. 1. Up to 5 years 2. Up to 3 years Salary: Commensurate with qualifications and experience. Based on Kyoto University’s provision for researchers. Benefits:　Standard social insurance, Days off (weekends, public holidays, End of the year and the New Year, Kyoto University Foundation Day, summer vacation), Sick leave Other miscellaneous provisions are in accordance with Kyoto U regulations. [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV (including technical skills [programming languages, platforms, systems, etc] and corresponding achievements that are relevant to our project) 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. [Number of openings] Two [Deadline for application] December 18th 2016 (will remain open if positions are not filled) [Application] Applications and/or any questions should be sent via mail or e-mail to: Integrated Systems Biology Laboratory (Shin Ishii-lab), Graduate School of Informatics, Engineering Bldg #1, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: kanae [at] sys.i.kyoto-u.ac.jp http://ishiilab.jp/kyoto/en/ Phone: +81-75-753-4908 Fax: +81-75-753-4907

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Lecturer/Senior Lecturer in Computer Science (Machine Learning / Biocomputation) (Closing Date 21 October)
by Steuber, Volker Oct. 14, 2016

Oct. 14, 2016

Lecturer/Senior Lecturer in Computer Science (Machine Learning / Biocomputation) School of Computer Science University of Hertfordshire, UK Salary £32,004 to £48,327 per annum depending on qualifications and experience Full time position working 37 hours per week (1.0 FTE) Closing date 21 October 2016 Applications are invited for a Lecturer or Senior Lecturer in the School of Computer Science, University of Hertfordshire. The successful candidate will be expected to contribute to the School's teaching and curriculum development activities, and to strengthen its research activities. We are looking to recruit specifically a computer scientist with background in machine learning or data science related to biocomputation (including computational neuroscience). By Data Science we broadly mean the extraction of meaning from large quantities of data. The successful candidate will also have the flexibility to teach across mainstream topics in computer science. The School has an international reputation for teaching and research, with 58 academic staff, 20 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the School teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. The person appointed will be expected to contribute to learning and teaching relevant to core computer science topics, participate in curriculum review and development, design and develop new modules, and supervise student projects at all levels. The appointee will strengthen the research culture in the School by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Preference will be given to candidates who can contribute to teaching and research as outlined above. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English and the ability to teach at undergraduate and postgraduate level. It is desirable that candidates have a track record of publication, external research funding, collaboration across disciplines, experience of different types of assessment and higher education quality assurance. They should also have the ability to play a role in the routine running of the School of Computer Science. Applications should be made through http://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies (reference 014050). Informal enquiries may be addressed to Dr Volker Steuber (Head of the Biocomputation Research Group, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly to these email addresses will not be accepted. We are committed to providing a supportive environment. The university also provides an onsite childcare facility and child-centred holiday clubs. The University is required to meet UKVI visa regulations. Applicants who do not currently have the right to work in the UK will have to satisfy UKVI regulations before they can be appointed. ?

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High Performance Computing Workshop at SFN 2016
by Ted Carnevale Oct. 13, 2016

Oct. 13, 2016

A few seats remain available in the workshop Using the Neuroscience Gateway Portal (NSG) for Parallel Simulations Saturday, Nov. 12 from 9 AM to noon which we are presenting in downtown San Diego as a satellite to this year's SFN meeting. This workshop will show you how to use this NSF-supported resource in your computationally-intensive modeling and data analysis projects. It will also feature presentations from several research teams about how they are using NSG in their own research. The registration fee is $25, but if you have already signed up for the NEURON course on Friday, Nov. 11, you may register for the NSG workshop for only $15. For a description of the workshop and its application form, see http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html The registration deadline is Friday Oct. 28. --Ted

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Postdoctoral researcher to study cause-effect power of neural systems across spatiotemporal scale
by Hill Sean Oct. 13, 2016

Oct. 13, 2016

Postdoctoral position in the Laboratory for the Neural Basis of Brain States Prof. Sean Hill, École Polytechnique Fédérale de Lausanne (EPFL) Campus Biotech, Geneva, Switzerland The Laboratory for the Neural Basis of Brain States (LNBBS), part of the Blue Brain Project, focuses on understanding cortical and thalamocortical structure and function and the relationship to states of the brain including wakefulness, sleep and anesthesia. LNBBS is part of the EPFL Blue Brain Project (BBP), a Swiss national brain initiative situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing infrastructure and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. A postdoctoral position is available in the laboratory of Prof. Sean Hill (EPFL, http://www.hill-lab.org : http://bluebrain.epfl.ch) in collaboration with the Prof. Giulio Tononi (Wisconsin Institute for Sleep and Consciousness, www.integratedinformationtheory.org ) to study cause-effect power of neural systems across spatiotemporal scales. Immediate funding is available for a project using the framework of integrated information theory [1] to study foundational questions regarding causation and emergence in a detailed model of a cortical column [2]. The model is a comprehensive, multi-scale digital reconstruction of rat somatosensory microcircuitry, consisting of over 31,000 biophysically detailed multi-compartment neurons with 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. Causal properties are explored at micro scales and at multiple macro scales by black-boxing the model in various ways and applying measures of integrated information to the resulting macro level systems [1, 3]. Candidates are expected to have strong training in a discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. Experience in information theory, complex systems, and neural modelling software (e.g. Neuron, NEST) are a plus. Programming experience is required (knowledge of MATLAB, Python, and/or C++ is of advantage). Appointments are for an initial 1-year renewable contract, starting as soon as possible or until the position is filled. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Sean Hill, (sean.hill(a)epfl.ch) For more information, contact Sean Hill (sean.hill(a)epfl.ch) or Giulio Tononi (gtononi(a)wisc.edu) [1] Tononi G, Boly M, Massimini M, and Koch C. Integrated information theory: from consciousness to its physical substrate. Nature Reviews Neuroscience (2016). [2] Markram et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 2015 Oct 8;163(2):456-92. doi: 10.1016/j.cell.2015.09.029. [3] Marshall W, Albantakis L, Tononi G (2016) Black-boxing and cause-effect power. arXiv:1608.03461 [q-bio.NC]

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Two NIH BRAIN Initiative funded computational postdoctoral positions available: Brown University and Mass. General Hospital
by Stephanie Jones Oct. 12, 2016

Oct. 12, 2016

Hello, Can you please post the following ad to the compneuro mailing list? Thank you, Stephanie Two NIH BRAIN Initiative funded computational postdoctoral positions available: Brown University and Mass. General Hospital The field of neuroscience is experiencing unprecedented growth in the ability to record from and manipulate brain circuits in humans and in animal models. MEG/ EEG are the leading methods to non-invasively record human neural dynamics with millisecond temporal resolution. However, it is still extremely difficult to interpret the underlying cellular and circuit level generators of these ‘macro-scale’ signals without simultaneous invasive recordings. Supported by a BRAIN Initiative grant through NIH we have started a collaborative project between Brown University, Yale University and Massachusetts General Hospital (MGH) to develop and a new software tool for circuit level interpretation of human brain activity measured with MEG/EEG. We are hiring two post-docs to join our team. A three-year postdoctoral position at Brown University PI: Dr. Stephanie Jones contact: Stephanie_Jones(a)brown.edu A three-year postdoctoral position at Massachusetts General Hospital PI: Dr. Matti Hämäläinen contact: msh(a)nmr.mgh.harvard.edu The post-docs hired will work among a team of researcher at Brown University, MGH, and Yale University on the design and implementation of a user-friendly, GUI-driven, open-source model of neocortical circuitry for the interpretation of non-invasively measured human brain activity. The neural model will be integrated into existing source localization software (MNE-Python) so that researchers can study the location, time course, and neural mechanisms of their human brain imaging data all in one package. Additionally, the post-docs will work with several test case groups to apply the model in a variety of tasks and clinical conditions. Interested candidates must have experience in Python programming and software engineering. The postdoc at Brown will work more on the computational modeling aspect of the software while the post doc at MGH will concentrate on the integration of MEG/EEG source modeling with computational neural modeling. Candidates with knowledge in computational modeling using NEURON and/or source localization methods will be given preference. Please send a CV, statement of research interests, and three letters of recommendation to contact addresses listed above. ******************************************* Stephanie R. Jones, PhD Associate Research Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://www.brown.edu/research/labs/jones/

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PhD Position in Computational Cognitive Neuroscience at FIU in Miami
by Fabián Soto Oct. 10, 2016

Oct. 10, 2016

The Computational Cognitive Neuroscience Lab at FIU in Miami (PI Dr. Fabian Soto) is looking for a doctoral student to start in the Fall of 2017. The student will work in the development of new methods to test independent processing of stimulus dimensions in the brain, within a framework that combines general recognition theory (a multidimensional version of signal detection theory) and population encoding models. The developed methods will be applied to the analysis of EEG and fMRI studies on object categorization. Our lab's research focuses on understanding the interplay between learning and visual processes in object categorization. We use a combination of behavioral, computational, and brain imaging techniques. FIU is classified as an R1 (highest research activity) institution by the Carnegie Foundation. It is Florida’s fastest growing public research university, the fourth largest university in the US, and one of the nation’s largest hispanic-serving institutions. FIU has recently established a state-of-the-art neuroimaging center (the Cognitive Neuroscience and Imaging Center), which hosts a research-dedicated 3T Siemens MAGNETOM Prisma MRI scanner and a fully equipped mock scanner for pre-scan and movement training. If you know of any potentially interested candidates with a broad scientific background who are interested in neuroimaging, psychology, and computational modeling, please have them contact Dr. Fabian Soto at fabian.soto(a)fiu.edu. More information about FIU’s Cognitive Neuroscience doctoral program in Psychology is available at http://cn.fiu.edu. The deadline for application is December 1st of 2016. -- Fabian A. Soto Assistant Professor Department of Psychology Florida International University Modesto A. Maidique Campus 11200 SW 8th St, AHC4 460 Miami, FL 33199 Phone: 305-348-8423 Fax: 305-348-6670 Email: fabian.soto(a)fiu.edu

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Postdoc in Warsaw - kernel-based method of electrophysiological source imaging
by Daniel Wójcik Oct. 10, 2016

Oct. 10, 2016

https://neuroinflab.wordpress.com/jobs/ POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE: kESI – kernel-based method of electrophysiological source imaging The Neuroinformatics Laboratory (https://neuroinflab.wordpress.com/) at the Nencki Institute of Experimental Biology (http://www.nencki.gov.pl) invites applications for a postdoctoral position (36 months). The goal of the project is to develop, implement and investigate a new technique of source localization of specific events in neural activity, such as a seizure, from multimodal imaging data, including ECoG (strip and grid electrodes), depth electrophysiological recordings, and MRI data from humans. The method will be validated with ground truth model data and tested on clinical data obtained from epilepsy patients. The fellow will build on already existing tools and techniques developed in the lab, see especially Potworowski et al. 2012 and Ness et al. 2015. The ideal candidate will have a strong computational background, experience in numerical solutions of PDEs, electrodynamics, computational neuroscience, or brain imaging. We can only accept candidates 0 to 7 years after reception of PhD. To apply or ask for further information send email to d.wojcik(a)nencki.gov.pl. Applications should include a CV, statement of research interests, and the names and full contact details of three referees. We are accepting applications until the position is filled. -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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RAHA 2016 - Invitation and late Breaking Poster Session
by Dr. Shyam Diwakar Oct. 8, 2016

Oct. 8, 2016

Dear Colleagues, Apologies for cross-posting. Amrita University, India at its backwater-nestled campus in Kollam, Kerala is set for RAHA 2016 - International Conference on Robotics and automation for Humanitarian Applications to be held from December 18-20, 2016. The organizers are calling in for late-breaking posters in robotics, neurorobotics, societal and humanitarian applications and related topics. We welcome you to submit content and showcase new studies in the fields of robotics and related topics. RAHA 2016 brings together top researchers, practitioners, and experts from the field of robotics for humanitarian applications. The conference will host 6 plenary and 16 keynote speakers from top universities and industry. Poster session Details: http://raha2016.org/call-for-abstracts-late-breaking-posters Conference website: http://raha2016.org Speakers: http://raha2016.org/speakers I look forward to meeting you in December. Shyam -- Shyam Diwakar, Ph.D. Amrita University http://www.amrita.edu/compneuro Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita University. If you received this in error, please contact the sender and destroy any copies of this information.

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Please post to the comp-neuro list
by McCormick, David Oct. 7, 2016

Oct. 7, 2016

POSTDOCTORAL POSITIONS in Theoretical and Computational Neuroscience The Swartz Center in Theoretical Neurobiology at Yale University invites applications for two postdoctoral positions in Theoretical and Computational Neuroscience. We seek exceptional candidates with experience in computational and/or quantitative neuroscience to collaborate with computational/experimental biologists towards the understanding of the nervous system from the level of synapses to complex networks. The candidate may work in one or more laboratories of Jessica Cardin, Damon Clark, Michael Crair, George Dragoi, Thierry Emonet, Michael Higley, Joe Howard, Alex Kwan, Daeyeol Lee, David McCormick, John Murray, and Steven Zucker (see http://swartz-initiative.medicine.yale.edu<http://swartz-initiative.medicine.yale.edu/>). Candidates must hold a Ph.D. or equivalent degree. Please send a Curriculum Vitae, selected reprints, and a statement of research plans including the laboratories of interest. All application materials should be sent electronically to the following e-mail address: david.mccormick(a)yale.edu<mailto:david.mccormick@yale.edu>. Applications will be reviewed as they are received, with a target date of November 30th, 2016. Positions are available starting January 2017. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. ----------------------------------------------------------- Thanks! David A. McCormick Professor, Neuroscience | Yale University School of Medicine Dept. Neuroscience 333 Cedar Street | New Haven, CT 06510 | 203.785.5981 www.mccormicklab.org<http://www.mccormicklab.org/> | www.neurobiology.org<http://www.neurobiology.org/>

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"Closed Loop Neuroscience" book release
by ahmed el hady Oct. 7, 2016

Oct. 7, 2016

Dear All, I would like to share with you the exciting news that my edited volume "Closed Loop Neuroscience", has just been published by Academic Press. The following is the link for the book: http://store.elsevier.com/Closed-Loop-Neuroscience/Ahmed-El-Hady/isbn-97801… . This reference book gathers work from across neuroscience, which employs closed loop methodologies, under the umbrella of what can be called “Closed Loop Neuroscience”. The book is built on three axes: theoretical, experimental and philosophical. The contributors come from a myriad of disciplines from physics, mathematics, linguistics, neuroscience, philosophy, engineering and computer science. The following is the table of contents: Theoretical Axis 1. Adaptive Bayesian methods for closed-loop neurophysiology 2. Information geometric analysis of neurophysiological data 3. Control theory for closed loop neurophysiology 4. Testing the theory of practopoiesis using closed loops 5. Local field potential analysis for closed loop neuromodulation 6. Online event detection requirements in closed-loop neuroscience 7. Closing Dewey's Circuit 8. Stochastic optimal control of spike times in single neurons 9. Hybrid systems neuroscience 10. Computational Complexity and the Function-Structure-Environment Loop of the Brain 11. Subjective Physics 12. Contextual emergence in neuroscience Experimental Axis 13. Closed loop methodologies for cellular electrophysiology 14. Bidirectional Brain-Machine Interfaces 15. Adaptive brain stimulation for Parkinson’s disease 16. Closed loop neuroprosthetics 17. Closed Loop Limbic Neurostimulation 18. Conscious brain-to-brain communication Philosophical Axis 19. Philosophical aspects of closed loop neuroscience 20. Closed Loops in Neuroscience and Computation: What It Means and Why It Matters Your feedback is very important for me so please let me know if you have any comments about it. My email is ahady(a)princeton.edu. I would really appreciate if you recommend the book to your librarian, colleagues and anyone you think might benefit from it. I hope you will enjoy the book , All the best, Ahmed El Hady Dr. Ahmed El Hady Princeton Neuroscience Institute Howard Hughes Medical Institute Washington Road | Princeton, NJ 08544 Tel: +1-609-258-7954 Fax: +1-609-258-1028 Website: http://scholar.princeton.edu/ahmedelhady/home

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Open positions in Theoretical/Computational Neuroscience at the Max Planck Institute for Brain Research in Frankfurt
by Gjorgjieva, Julijana Oct. 7, 2016

Oct. 7, 2016

We invite applications for PhD positions and have openings for Master and Bachelor students interested in writing their thesis or doing internships in our group 'Computation in Neural Circuits' at the Max Planck Institute for Brain Research in Frankfurt, Germany. Postdoctoral candidates are also encouraged to inquire for open positions. We use mathematical and computational approaches to study how neurons and the connections between them get organized into circuits that are flexible to learn, yet remain robust to external perturbations. We focus on the emergence of complex properties at the single neuron and circuit level during early development. For example, we study how synaptic plasticity, homeostasis and development of ion channel expression interact to produce functional adult circuits. We are also interested in how these specific properties emerge evolutionarily, shaped by various biophysical constraints. Our work is supported by close experimental collaborations based on different animal models, from rodent to fruit fly, giving us access to individual circuit components. Successful applicants can work on a range of projects including theoretical model development and analytical calculations, numerical simulations, data analysis, and applications to novel datasets from collaborating labs. Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and interest in interdisciplinary research. Background in neuroscience is desirable but not required, and some programming experience is necessary. To apply for these positions, please submit the following to comp.neural.circuits(a)gmail.com<mailto:comp.neural.circuits@gmail.com> 1. A curriculum vitae 2. A motivation letter or a description of research interests (please explain your scientific interests, what are you strengths when working on a problem, why our group) 3. Contact details for 2-3 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code Our institute also hosts the IMPRS graduate school in 'Neural Circuits' which has an open call for PhD applications with a deadline of December 15, 2016: http://brain.mpg.de/graduate-studies/call.html For more information or informal inquiries, please get in touch! Julijana Gjorgjieva, PhD Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4 60438 Frankfurt/Main, Germany http://brain.mpg.de/research/computation-in-neural-circuits-group.html

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Symposia on Memory, March 6-10 2017, Barcelona
by Alex Roxin Oct. 6, 2016

Oct. 6, 2016

Dear all, I'm happy to announce that registration is open for the week-long series of Symposia on Memory at the Centre de Recerca Matemàtica from 6-10 of March, 2017 in Barcelona, Spain. These symposia bring together experimental and theoretical researchers in the neuroscience of memory to present and discuss work on topics such as: sleep, hippocampal function, the molecular basis of memory, synaptic plasticity, spatial learning, human memory, and more. The full list of invited speakers as well as a partial list of abstracts for the invited talks is on the website. A detailed schedule is forthcoming. As a registered participant you can submit an abstract for a contributed talk or a poster. For more information and to register see http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_Symposia.aspx The symposia are part of the Intensive Research Program (IRP) on the Mathematics of Memory at the Centre de Recerca Matemàtica in Bellaterra (Barcelona), Spain. The program kick-off is a week-long winter school on the mathematics of memory, the Memory School, from the 16th to the 20th of January, 2017. A preliminary course schedule is available on the website. As a registered participant at the school you can submit an abstract to present a poster. Registration is open! http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_School.aspx For more information on the IRP on Memory please visit the website below http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/IRP-MATHMEM.aspx best regards, Alex (on behalf of the coordinators: Nicolas Brunel, Sandro Romani and Alex Roxin)

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Call for posters and participation: The 3rd International Symposium on Cognitive Neuroscience Robotics
by amser116 Oct. 6, 2016

Oct. 6, 2016

Call for posters and participation: (apologies for cross-posting) The following international symposium will be held in Osaka, Japan in December 2016. The theme of the symposium is Constructive Developmental Science, which aims at understanding human cognition by means of interdisciplinary approach (e.g., psychology, cognitive science, neuroscience, and robotics). We will have world-leading researchers from different disciplines as invited speakers and would like to invite you to present a poster of your recent achievement. Please see the symposium homepage for more details: http://www.cnr.osaka-u.ac.jp/?p=1835&lang=en ============================================ The 3rd International Symposium on Cognitive Neuroscience Robotics: Toward Constructive Developmental Science ============================================ Date: Sunday, December 11 – Tuesday, December 13, 2016 Place: Science Hall, Senri Life Science Center, Osaka, Japan Fee: No fee except banquet Registration: Advance registration is required (see the following homepage) Program: http://www.cnr.osaka-u.ac.jp/?p=1835&lang=en Invited speakers: - Rechele Brooks, University of Washington - Helge Ritter, Bielefeld University - Giulio Sandini, Italian Institute of Technology - Shinsuke Shimojo, California Institute of Technology Sponsors: - Institute for Academic Initiatives, Osaka University “Division of Cognitive Neuroscience Robotics” - JSPS Grant-in-Aid for Specially Promoted Research “Constructive Developmental Science Based on Understanding the Process from Neuro-Dynamics to Social Interaction” Best regards, Yukie Nagai, on behalf of the symposium organizers — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

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high performance computing with the Neuroscience Gateway Portal
by Ted Carnevale Oct. 6, 2016

Oct. 6, 2016

Space is still available in the workshop on the Neuroscience Gateway Portal (NSG), but if you are interested you should act soon because space is limited and the registration deadline is Friday Oct. 28. The NSG is an NSF-supported resource for neuroscientists whose research involves computationally intensive modeling and/or data analysis. It has a simple, convenient user interface for running simulations and data analysis tasks on HPC hardware, and provides free CPU time. Currently installed software includes Brian, GENESIS, MOOSE, NEST, NEURON, PyNN, Freesurfer, and the Virtual Personalized Multimodal Connectome Pipeline. The workshop will be held on Saturday, Nov. 12, from 9 AM to noon, just before the start of the 2016 SFN meeting, at a downtown San Diego location near the convention center. The agenda includes instruction on how to use the NSG in your own research, a hands-on exercise, and presentations by research teams about how they are using the NSG for their own high performance computing needs. See http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html for more information and a link to the registration form. --Ted

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Postdoctoral Fellowship in System Neuroscience
by Majid Mohajerani Oct. 5, 2016

Oct. 5, 2016

A position as Postdoctoral Fellow is now open for an outstanding postdoctoral associate to conduct research in the field of neural network functions at the Canadian Centre for Behavioural Neuroscience at the University of Lethbridge, Alberta. Our goal is to understand cellular and brain system mechanisms of memory and cognitive processing in animal models of healthy brain and memory disorders associated with aging and brain damage. Our research focusses on information coding, neural dynamics and system level neural interactions among diverse brain regions (e.g., hippocampus, prefrontal, retrosplenial, parietal and anterior cingulate cortices). This research will be supported by state-of-the-art facilities including advanced two-photon imaging, microendoscope imaging, wide-field voltage and calcium imaging, and high-density multi-unit electrophysiological recording and optogenetic techniques. The project is a collaborative effort between the research groups of Prof. Bruce McNaughton and Dr. Majid Mohajerani. Successful candidates will join the highly collaborative and interdisciplinary Canadian Centre for Behavioural Neuroscience (http://www.uleth.ca/artsci/neuroscience/our-faculty) and Brain Dynamics group (http://lethbridgebraindynamics.com/) which has outstanding research strengths in the areas of learning and memory, decision making, information coding and related diseases such as Alzheimer's, schizophrenia, addiction and stroke. Salary scales will be competitive with NIH standards for postdoctoral researchers. The position will be initially for 1 year with possibility of renewal depending on performance review at the end of the first 9 months. QUALIFICATIONS Preference will be given to candidates with strong quantitative and neuroscience methodological backgrounds such as neural ensemble recording, 2-photon or other in vivo neural activity imaging or in brain mapping. Good verbal and written communication skills are a must. Experience in MATLAB will be an asset. Candidates should be prepared to learn and use cutting-edge physiological, anatomical, and computational techniques, such as virtual reality-based rodent behavioural systems, optogenetic manipulations, and statistical methods for the analysis and modelling of data. HOW TO APPLY Interested applicants should send an email to Dr. McNaughton ( <mailto:bruce.mcnaughton@uleth.ca> bruce.mcnaughton(a)uleth.ca) with cc to Dr. Mohajerani ( <mailto:mohajerani@uleth.ca> mohajerani(a)uleth.ca ) and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information of three references. Applications are encouraged from women and minorities.

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo Oct. 4, 2016

Oct. 4, 2016

Applications for post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of multiscale neural dynamics. Neural data consist of recordings of single-neuron ensembles and local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates. Research topics include: (1) Role of neuronal network intrinsic dynamics in neural encoding and decoding. (2) Multiscale neocortical dynamics in human focal epilepsy: seizure transition, propagation and termination. (3) Precursor signatures of focal seizure transitions, prediction and control. The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Two PhD Positions for Neural Network Research Using High-density Microelectrode Arrays
by Felix Franke Oct. 4, 2016

Oct. 4, 2016

*PhD Positions for Students with Neurobiology Background or Engineering/Data-analysis Background for Neural Network Research Using High-density Microelectrode Arrays* We are currently seeking PhD students with a neurobiology background, or with an engineering/data analysis background, who will conduct electrophysiological experiments with high-density microelectrode arrays. The students will investigate how information is processed by neuronal networks and by the corresponding individual neurons and subcellular units within active networks. Suitable candidates should either have a background in neurobiology/neuroscience, or interest in evaluating large-scale complex data sets and a background in engineering or computer science. The candidate should be interested in interdisciplinary collaborative work in the area of electronics/neurobiology/data processing. Programming skills (for example Matlab, Python, R, etc.) are required, and knowledge of mathematics, statistics and data analysis methods, or experience in cell culturing and sterile techniques, or - possibly - patch clamp will be an asset. For more information see: https://www.bsse.ethz.ch/bel/open-positions.html -- Felix Franke, PhD ETH Zürich, D-BSSE Bio Engineering Laboratory (BEL) http://www.bsse.ethz.ch/bel

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Deadline extended for Brains and Bits NIPS Workshop
by Konrad Kording Sept. 29, 2016

Sept. 29, 2016

We just expanded the NIPS brains and bits deadline by a week: http://www.stat.ucla.edu/~akfletcher/brainsbits.html Consider joining us if you are interested in neural data science.

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Open PhD Position in Neuroscience at the University of Bremen, Germany
by David Rotermund Sept. 29, 2016

Sept. 29, 2016

The Institute for Theoretical Physics at the University of Bremen, headed by Prof. Dr. Klaus Pawelzik, offers a PhD position in the field of Complex Adaptive Systems. Successful candidates will join an international research group that is located in the field of Complex Adaptive Systems with a specialization in Econophysics, Psychophysics and Computational Neuroscience. In the latter we work on Attention, Neuronal Dynamics, Learning and Neurotechnology. The project funded by the DFG is entitled: “Dynamic instabilities from information annihilation in neuronal networks” Many Complex Adaptive Systems, including human balancing behavior, financial markets, and neuronal networks, exhibit complex spatio-temporal activity. Interestingly, all these systems feature a dynamic balance of opposing influences. In this project we will investigate the consequences of simple but biologically realistic mechanisms that yield a balance of excitatory and inhibitory inputs into neurons. In particular, we will determine the conditions where this balance does not result in simple equilibria but causes complex temporal dynamics and power-law distributed avalanches of activity in recurrent networks. This topic is part of a long term research program where we investigate whether a single general principle, by which criticality emerges from an efficient absorption of information, can account for these observations in a wide range of systems. The position is funded with a salary comparable to a 65 % TVL13 position and comes with support for 3 years and direct supervision by the principal investigator. Ideal candidates have a MSc degree in Physics or Mathematics. In any case they must have a strong background in physics and/or computational neuroscience and solid programming skills. Above all, they must have a strong motivation, a sense for responsibility, interest for detailed analysis, and a distinct desire to learn. Fluency in English is required (both written and spoken). If you are interested, please send your complete application by 23th October 2016 by e-mail (see detailed instructions below) to ajanssen(a)neuro.uni-bremen.de. Severely disabled applicants and women with essentially identical and personal suitability will be preferentially selected. Detailed instructions for applicants ===================== Your application must comprise: Motivation letter -------------------- Your 1-2 page essay should reply the following questions: What is your background? In which fields have you worked before and how do you think this can be useful for the present job? What attracts you to the field of neuroscience? Which problem(s) in neuroscience are you most interested in? Which kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and how do you approach a research problem? What are your plans for your future career? Curriculum Vitae --------------------- Send a classical tabular CV with your contact details, your date-of-birth, a current photograph, and all stages of education and employment. List of skills, awards, publications List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. Contact details of two academic references -------------------------------------------------------- One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. Please send your application to ajanssen(a)neuro.uni-bremen.de by 23th October 2016! All documents must be in PDF format and must not be compressed. Combine all documents to a single PDF file or at least name the separate files appropriately. If we find your application interesting, we will let you know within two weeks and potentially ask for more documents.

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2 Available PhD Positions in Artificial Intelligence and Neuro-Cognitive Robotics, Ritsumeikan University, Japan
by Amir Aly Sept. 28, 2016

Sept. 28, 2016

**Apologies for Cross Posting ** *2 Available PhD Positions in Artificial Intelligence and Neuro-Cognitive Robotics at the Emergent Systems Laboratory, Ritsumeikan University, Japan* The Emergent Systems Laboratory [Link <http://www.em.ci.ritsumei.ac.jp/en>] at Ritsumeikan University in Japan (nearby Kyoto) announces 2 available PhD positions in artificial intelligence and neuro-cognitive robotics as a part of the new project: *"*Comparison and Fusion of Artificial Intelligence and Brain Science*"*. The successful PhD candidates will be involved in research about: *Understanding Neural Computation for Double Articulation Analysis Bridging Sensory-motor Information and Natural Language in Human Brain*, under the supervision of Tadahiro Taniguchi (Project Coordinator) [ Link <http://www.tanichu.com/profile>]. *I. Positions Description * Human brain can analyze a two-layer hierarchical structure embedded in speech signal called *double articulation structure* (i.e., speech signal is segmented into words and phonemes in a hierarchical manner). However, the computational process of double articulation analysis in human brain has not been revealed in neuroscience. In artificial intelligence and developmental robotics, we have not developed - yet - a robot that can automatically learn language from human-robot and sensorimotor real-world interactions in an unsupervised manner. This project aims to contribute to : - Understanding the neural mechanism supporting human and robot language acquisition involving double articulation analysis. - Developing unsupervised machine learning methods for building the next-generation communicative robots. - Developing deep learning and Bayesian probabilistic models integrating language, planning, and sensorimotor behaviors. - Investigating theories bridging between deep learning and Bayesian nonparametrics. Each PhD candidate is expected to contribute to a part of the project. *II. Candidate Profile* - Good mathematical background. - English communication skill for daily discussion and writing papers: IELTS 6 (TOEIC 740). - Programming skills in C++, Python, or Matlab for machine learning and intelligent robot. - Applicants are expected to be interested in natural language, language acquisition, and the human cognitive neural system of social behavior. *III. Application* Please send your application to (adm(a)em.ci.ritsumei.ac.jp) no later than *31 October 2016*, including: - List of publications. - Copies of 2 major publications. - Outline of past research (free format). - Motivation letter (free format). - Outline of prospective research (free format). - 2 Reference letters. Further details about the available positions and admission procedures are available on: *PhD Positions in Artificial Intelligence and Neuro-Cognitive Robotics <http://www.em.ci.ritsumei.ac.jp/info/call-for-phd-candidates-research-assis…>* . Ritsumeikan University is a fast growing international research environment with interdisciplinary research areas, and is the biggest private university in the west of Japan. The College of Information Science and Engineering is the biggest college in the field of Information Science in Japan, and the Graduate School is receiving a large number of KAKENHI Japanese governmental research grants. *IV. Related Papers* [1] Tadahiro Taniguchi, Shogo Nagasaka, Ryo Nakashima, Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals, IEEE Transactions on Cognitive and Developmental Systems, Vol. PP (99) .(2016) DOI: 10.1109/TCDS.2016.2550591 [2] Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura, Naoto Iwahashi, Tetsuya Ogata, and Hideki Asoh, Symbol Emergence in Robotics: A Survey, Advanced Robotics, Vol.30, (11-12) pp. 706-728 .(2016) DOI:10.1080/01691864.2016.1164622 ---------------------------------------------- Amir Aly, Ph.D. Postdoctoral Research Associate Emergent Systems Laboratory College of Information Science and Engineering - Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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International Workshop on Computational Psychiatry at KAIST (Sang Wan Lee)
by Sang Wan Lee Sept. 27, 2016

Sept. 27, 2016

We are pleased to host a single day workshop on computational psychiatry, entitled "Computational approaches to understanding memory, learning, decision making, and emotion processing". The brain is an immensely complex system, making it hard to account for the brain's high-level functions, such as cognitive, emotional, and social components. The impairments of these circuits often lead to mental illness. A new approach, dubbed as computational psychiatry, combines experiments with computational modelling to provide the means to prevent psychiatric disorders. This workshop discusses recent advances in applying neuroeconomics, computational neuroscience, artificial intelligence to the study decision making, learning and memory. A deeper insight into these functions is expected to permit development of model-based diagnosis of mental disorders. * List of speakers : Benedetto de Martino (University of Cambridge, UK) Robb Rutledge (University College London, UK) Shinsuke Suzuki (Tohoku University, Japan) Sukbin Lim (New York University Shanghai, China) Sang Wan Lee (KAIST, South Korea) * Date: OCT 5 Wednesday, 2016 * Venue: Dream Hall (1st floor), CHUNG Moon Soul building (E16), KAIST * Program: http://www.aibrainlab.com/cp2016/ (free registration) - Host: Department of Bio and Brain Engineering, KAIST - Organizer: Sang Wan Lee (inquiries: Hana Park, <mailto:hnpark@kaist.ac.kr> hnpark(a)kaist.ac.kr) -- Sang Wan Lee, Ph. D Assistant Professor Laboratory for Brain and Machine Intelligence Department of Bio and Brain Engineering, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea +82-42-350-4334 sangwan(a)kaist.ac.kr <mailto:sangwan@kaist.ac.kr> http://aibrain.kaist.ac.kr

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Two Postdoc Positions in Model-based fMRI and Machine Learning at KAIST (Sang Wan Lee)
by Sang Wan Lee Sept. 27, 2016

Sept. 27, 2016

*Postdoctoral positions in model-based fMRI and machine learning at KAIST* Two postdoctoral positions, funded through Samsung future technology foundation, are immediately available in the Laboratory for Brain and Machine Intelligence, led by Sang Wan Lee, at KAIST (http://aibrain.kaist.ac.kr/openings) The laboratory is affiliated with the department of Bio and Brain Engineering, Brain and Cognitive Engineering program, and KAIST Institute for Health Science and Technology (KIHST). The positions are initially appointed for one year, and may be extended for up to three years. We offer a competitive salary plus benefits. We also provide opportunities for working with our collaborators (refer to our website for more information). The project, AI-human coevolution engine, aims to develop a framework that boosts human learning and inference performance. It requires a combination of model-based neuroimaging techniques and a design of various learning algorithms. Research topics include model-based/model-free reinforcement learning, inductive/deductive/transitive inference, and one-shot learning. Details about the project is confidential, but the research proposal will be outlined during an interview. Qualifications (type1): - PhD in cognitive neuroscience, computational neuroscience, or physics - prior experience in (model-based) fMRI analysis is preferred. Qualifications (type2): - PhD in electrical engineering, computer science, or applied mathematics - strong quantitative background with expertise in machine learning The positions are open until filled. Interested please send a cover letter, a CV and a list of two references to sangwan(a)kaist.ac.kr. Applications will be reviewed on a rolling basis. -- Sang Wan Lee, Ph. D Assistant Professor Laboratory for Brain and Machine Intelligence Department of Bio and Brain Engineering, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea +82-42-350-4334 sangwan(a)kaist.ac.kr <mailto:sangwan@kaist.ac.kr> http://aibrain.kaist.ac.kr

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Faculty Positions in Applied Mathematics at Northwestern University
by William L. Kath Sept. 26, 2016

Sept. 26, 2016

The Department of Engineering Sciences and Applied Mathematics at Northwestern University (http://www.mccormick.northwestern.edu/applied-math/) invites applications for two full-time, tenure-track faculty positions. Hiring will be focused on the assistant professor level, although exceptional applicants at a more senior level will be considered. Requirements include a Ph.D. and demonstrated ability to conduct high-impact interdisciplinary research in applied mathematics. Candidates in all areas are encouraged to apply. We are seeking candidates with strong connections to applications who can enhance the breadth of research activities of the department. Duties involve teaching and research. The application package should include a curriculum vita, a statement of research accomplishments and interests, and a statement of teaching experience and philosophy. Send applications to https://facultysearch.mccormick.northwestern.edu/apply/index/ODg In addition, the applicant should arrange for at least three, but no more than four letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after the names are entered in the online application system. Questions may be sent to esam-facultysearch(a)northwestern.edu (Subject line: 2017 Faculty Search). Review of applications will begin November 15, 2016, and will continue until the positions are filled. For further information, see: http://www.mccormick.northwestern.edu/applied-math/. Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States. -- William L. Kath, Professor Engineering Sciences and Applied Mathematics McCormick School of Engineering, Northwestern University 2145 Sheridan Road, Evanston, IL 60208-3125 Phone: 847-491-8784 Fax: 847-491-2178

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Reminder: deadline (October 1st 2016) approaching for manuscript submission to the Research Topic 'Burst coding: from cell to cognition'
by Fleur Zeldenrust Sept. 26, 2016

Sept. 26, 2016

This is a reminder: The deadline for manuscript submission to the Research Topic below is on Extended Article Submission Deadline: 01 Oct 2016 . Research Topic Title: Burst coding: from cell to cognition Topic Editor(s): Wytse J. Wadman, Fleur Zeldenrust, Bernhard Englitz Hosting Field: Frontiers in Neuroscience Journal: Frontiers in Computational Neuroscience Here are quick links to: - Manuscript guidelines: http://home.frontiersin.org/about/author-guidelines - Online submission: http://frontiersin.org/Computational_Neuroscience/researchtopics/Burst_codi… - List of article types and publishing fees: http://www.frontiersin.org/about/PublishingFees With best regards, Fleur Zeldenrust Guest Associate Editor, Frontiers in Computational Neuroscience Department of Neurophysiology Donders Centre for Neuroscience Faculty of Science, Radboud Universiteit Heyendaalseweg 135, postvak 33 6525 AJ Nijmegen tel +31 24 36 53195 www.frontiersin.org

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Brainhack: Anatomy edition in Paris, 24-26 October 2016
by Anastasia Osoianu Sept. 24, 2016

Sept. 24, 2016

Registration is now open for Brain-anatomy-hack in Paris. Brain-anatomy-hack aims at promoting the interaction between scientists on questions concerning (1) the investigation of brain anatomy based on magnetic resonance imaging or post mortem dissection; (2) the evolution of nervous systems across species; (3) the variability of brain features across healthy participants; (4) the insurgence of brain pathologies. Program Each of the three days will begin with an “Ignite Session” in which speakers will give 15-30 minute talks that will address wide questions in neuroanatomy that would benefit from open, interdisciplinary collaborations. The “Ignite Session” will be followed by a “hack session” and a dynamic set of talks organized by attendees. During the “hack sessions”, participants will be encouraged to work together in small groups on relevant projects. The workshop will culminate on the last day, when participants will have the opportunity to present a brief overview of their project. Participants can bring their own dataset, discuss a project and recruit a team of collaborators on site. Access to free big online databases of MRI images will be also available during the three days, for new creative ideas to be tested. This workshop is also an opportunity to learn methods, develop skills and collaborate with other participants. Participants will be supervised and receive advice on methods from a team of very capable nerds including Roberto Toro, Michel Thiebaut de Schotten, Alexandros Goulas, Julien Lefèvre, Daniel Margulies and Leonardo Cerliani throughout the three days. A constant flow of food and drinks (especially coffee…) will be provided during the conference breaks. We kindly request an online preregistration (70€) in order to cover the expenses for the venue, the equipment and the food/drinks. Deadline is 16th of October 2016. For more information and preliminary schedule visit: http://neuroanatomy.github.io/events/brainhack/ To learn more about Brainhack and previous events: http://brainhack.org/

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Job Posting--Senior Data Analyst--DiCarlo Lab
by Christopher Shay Sept. 23, 2016

Sept. 23, 2016

SENIOR DATA ANALYST Massachusetts Institute of Technology Brain and Cognitive Sciences McGovern Institute for Brain Research Lab of James J. DiCarlo http://dicarlolab.mit.edu/ <http://dicarlolab.mit.edu/> To develop and lead an open science framework for a small, but growing consortium of neuroscience research labs that together aim to build computational models of the brain’s visual processing system. Primary responsibilities are to (i.) develop and perform data packaging and analytics on visual neuroscience and behavioral psychophysics data, (ii.) implement existing and novel computational models of the visual system, and (iii.) build metrics and visualizations that quantitatively compare computational models to experimental data. The candidate will be based at the DiCarlo Lab at McGovern Institute for Brain Research at MIT. He or she will develop and implement standardized data formats, apply computational and statistical tools for data analysis, develop web-based graphical visualization interfaces to display results and present reports/results to the PIs, collaborators, and the research group. The data analyst will also oversee the lab’s local and remote computing hardware resources. REQUIRED: Bachelor’s degree, preferably in Computer Science or Software Engineering; Masters degree in (e.g.) Machine Learning, Statistics, or related field highly desirable; extensive familiarity with and high level of demonstrated competence in Python and Javascript absolutely required; working knowledge of C++ and C# languages highly desirable; minimum of five years’ experience with large-scale data-science activities, including organizing, analyzing, and synthesizing complex datasets to produce readable, informative automated web-based reports; demonstrated competence in modern data visualization tools such as Tableau, R, and D3.js; minimum of two years’ experience with large-scale database design and usage; minimum of two years' experience with building and maintaining a medium-to-large scale web-based application stack; experience with statistical languages/programming packages such as MATLAB (preferred), R, Stata, SPSS, or SAS highly desirable; experience with executing neural network feature extraction procedures on GPUs highly desirable. Demonstrated ability to partner with colleagues; ability to independently manage multiple projects/priorities while meeting changing deadlines, adapt to new technologies, and present information in a clear and cohesive manner; creative problem solving skills; ability to approach tasks with an eye toward efficiency and reproducibility; excellent written and oral communications skills; meticulous attention to detail; and proactive approach to investigative analysis. Experience in academic research, particularly computational neuroscience, is highly desirable. Christopher Shay, PhD Lab Manager DiCarlo Lab McGovern Institute Lab: (617) 452-3261 Fax:(617) 253-0104

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Software Engineer position in modeling at the Allen Institute for Brain Science
by Anton Arkhipov Sept. 23, 2016

Sept. 23, 2016

A new position is open at the Allen Institute for Brain Science: http://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/ 2260-Modeling Analysis and Theory Software Engineer II Please apply at the link above! If you have any questions, please feel free to email antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. Job description. The Modeling, Analysis and Theory group is seeking a Software Engineer to contribute to one of our most crucial efforts - development of software tools for building, simulating, and analyzing models of brain cells and circuits. This individual will design and implement integrated software to enable modeling of brain activity and computations at several levels of resolution - from biophysically detailed to abstract, machine-intelligence-type models. The Software Engineer will be embedded in our Modeling team and will work closely with team members to combine the existing research code with newly designed and developed modules, in order to produce a high-quality modeling software suite for public release and continuous support. Job Responsibilities: * Design, implement, and maintain software for model building, simulation, and analysis/visualization across several modeling approaches using best software engineering practices. * In a team setting, actively participate in algorithm design and software planning and provide thoughtful solutions and alternatives. * Transform complex and high level requirement specifications into software code. * Present design solutions to peers, both within and outside of the Institute. * Manage multiple tasks, set clear priorities, and accomplish tasks with minimal supervision. Basic Qualifications: * BS, MS, or PhD in physical science, math, engineering or computer science discipline. * Strong background in scientific computing; experience in developing scientific modeling software, especially in computational neuroscience, is preferred. Experience with parallel computing is a plus. * At least 5 years of experience with python; familiarity with numpy/scipy. * Familiarity with modern version control systems, such as git. * Experience with Linux is essential; versatility in Windows and Mac platforms is desirable. * Experience in developing, shipping and maintaining robust, data-intensive applications. * Ability to meet aggressive timelines and deliverables in a collaborative environment. Desirable Qualifications: * C/C++ experience. * Graphics and/or data visualization experience. * Some experience in working with relational databases. * Familiarity with SQL. * Experience with maintaining open-source projects.

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postdoctoral position CRM, Barcelona
by Alex Roxin Sept. 22, 2016

Sept. 22, 2016

Dear all, The Computational Neuroscience Group at the Centre de Recerca Matemàtica in Barcelona, Spain is looking for applicants for a two-year postdoctoral position in the framework of the Collaborative Research Program funded by the Caixa Foundation, to foster collaboration between theory and experiment. Project Description: This project involves data analysis from animal experiments, computational modeling and translation of the results to a clinical setting. The candidate will study how cortical, brain stem and spinal cord circuits interact to drive motor function. This will involve analysis and modeling of high-dimensional data from experiments with stimulating electrodes in the motor cortex and spinal cord, and recording electrodes in forelimb muscles of rats, as well as experiments in which the EMG activity of muscles is recorded while the animal is engaged in a reaching and grasping task. In addition, we are initiating a collaboration with the Guttmann Institute for Neurorehabilitation to translate our results to human patients, in order to find a therapy to recover arm/hand function in patients with high spinal cord injuries. The candidate will work in close collaboration with Alex Roxin at the Group for Computational Neuroscience at the CRM and Guillermo Garcia Alias at the Neuroscience Institute at the UAB. Candiate Profile: We are looking for an enthusiastic and scientifically curious researcher with a strong technical background, ideally in mathematics, physics, engineering or related fields. A background in biology or neuroscience is not required. Application Deadline: October 24th. Decision early November. For more information and to apply go to http://www.crm.cat/en/Pages/DetallNoticia.aspx?ItemID=112 best regards, Alex

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