- Comp-neuro - lists.cnsorg.org

faculty position

by Canavier, Carmen C.

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…

March 17, 2017

Cajal Course in Computational Neuroscience: Deadline March 27

by Jakob Macke

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

March 17, 2017

PhD position in Computational Neuroscience, Ruben Moreno-Bote Lab, Barcelona, Spain

by Ruben Moreno Bote

*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

March 17, 2017

MIT-SENIOR UNITY 3D ENGINEER AND PROJECT LEAD

by Christopher Shay

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

March 15, 2017

IARPA MICrONS Technical Supervisor Position (Washington, DC)

by Alyssa Picchini Schaffer

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.

March 15, 2017

Bernstein Network Information Booth at 12th Göttingen Meeting of the German Neuroscience Society (NWG)

by Kerstin Schwarzwaelder

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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

March 15, 2017

PhD in Computational Neuroscience at the University of Exeter (fully funded)

by James Rankin

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

March 15, 2017

Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2017

by Kerstin Schwarzwaelder

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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

March 14, 2017

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

by Christoph Kirst

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

March 14, 2017

deadline for International Conference on Cognitive Modeling/Society for Mathematical Psychology extended

by Marieke van Vugt RUG

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

March 14, 2017