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Call for participation Neural Synchronization Frontiers Topic
by GUEVARA ERRA RAMON MARIANO Oct. 28, 2015

Oct. 28, 2015

Dear potential authors on the comp-neuro mailing list, This is a call for participation at a special issue (Frontiers Topic) on neural synchronization, that we are currently editing: 'Large-scale neural synchronization and coordinated dynamics: a foundational approach' Web site: http://journal.frontiersin.org/researchtopic/4079/large-scale-neural-synchr… Description: A fundamental question in neuroscience is how segregation and integration of information takes place by the temporal coordination of differentiated, specialized brain areas. Neural synchronization is often invoked as a mechanism of coordinated activity, and in the last ten years there has been a great effort to understand its significance, to clarify its physiological and computational roles and its relationship with brain rhythms and abnormal brain functioning (as in epilepsy or Parkinson’s disease). But in a broader sense, synchronization is an old concept, arising from the studies of oscillators in non-linear dynamics. It is indeed a widespread phenomenon, reflecting the coupling between self-oscillating units. However, the association between coupling and coordinated activity is not completely understood in the context of brain dynamics, most critically when this relationship is extended to large networks of interacting neurons. What do we mean when we use the term ‘synchronization’ in neuroscience? How can we measure physical coupling when real experiments can only tell us about temporal statistical correlation? Can we freely use concepts from oscillation theory to describe brain dynamics? In this Research Topic we welcome contributions from different backgrounds and perspectives to promote a deeper understanding of the relationship between neural synchronization and physical coupling between neuronal networks, and its implications for functional connectivity in the normal and the pathological brain. This topic will include, among others, contributions with the following themes: 1) Foundations of large-scale neural synchronization, based on physical theories of oscillation. 2) The computational role and metabolic cost of neural synchronization, and its relation to brain rhythms. 3) Behavioral and cognitive consequences of oscillatory activity in the human brain. 4) Synthesis and state-of-the-art on measuring neural synchronization in experimental settings. 5) Recent methods for the reconstruction of connectivity in oscillatory networks. 6) Applications of the concept of neural coupling and oscillatory activity in a medical setting, such as monitoring and control of neural synchronization in brain pathologies affecting coordination dynamics. Looking forward to have your contributions.Those interested please write to Ramon Guevara (guevara.erra(a)gamil.com) Best wishes, Ramon Guevara Erra University Paris Descartes, Paris, France Jose Luis Perez Velazquez Hospital for Sick Children and University of Toronto, Toronto, Canada

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PhD position: theoretical and computational neuroscience
by K Tsaneva-Atanasova Oct. 28, 2015

Oct. 28, 2015

PhD position in Modelling spine calcium dynamics: implications for synaptic plasticity ----------------------------------------------------------- Based within the EPSRC Centre for Predictive Modelling in Healthcare at the University of Exeter, a £2M initiative bringing together mathematicians, statisticians and clinicians, you will work on a project aiming to investigate the mechanisms and hence understand the regulation of calcium transient dynamics shown to be a critical trigger for synaptic plasticity in dendritic spines. In order to do this we will develop and analyse three-dimensional mathematical models using finite element methods. Therefore I am looking for candidates trained in quantitative fields whose interest has turned to the study of synaptic plasticity and calcium dynamics. This project is one of a number that are in competition for funding from the South West Biosciences Doctoral Training Partnership (SWBio DTP). The SWBio DTP is a BBSRC-funded PhD training programme in the biosciences, delivered by a consortium comprising the Universities of Bristol (lead), Bath, Cardiff and Exeter and Rothamsted Research. The SWBio DTP projects are designed to provide outstanding interdisciplinary training in a range of topics in World-Class Bioscience, underpinned by training in mathematics and complexity science. Each project is supervised by an interdisciplinary team of academic staff and will follow a structured training 4 year PhD model. In particular the project on "Modelling spine calcium dynamics: implications for synaptic plasticity" stems form a long-standing collaboration between Prof Krasimira Tsaneva-Atanasova (main supervisor, Exeter) and Dr Jack Mellor (co-supervisor, Bristol http://www.bris.ac.uk/synaptic/people/66711/) To Apply: Candidates with strong quantitative training (e.g. a BSc or MSc in Physics, Mathematics, Computational Neuroscience, Computer Science, or Engineering) and evidence of scientific achievement are invited to apply. Knowledge of neuroscience is a plus. Please apply using the following link: http://www.exeter.ac.uk/studying/funding/award/?id=1977 ----------------------------------------------------------- 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 web: http://emps.exeter.ac.uk/mathematics/staff/kt298 ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent http://www.euromov.eu/alterego/homepage

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PhD/Postdoctoral Position at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany
by Filip Sobczak Oct. 28, 2015

Oct. 28, 2015

*PhD/Postdoctoral Position at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany * The Department of High-field Magnetic Resonance at the Max Plank Institute for Biological Cybernetics in Tübingen is offering one PhD position and one postdoctoral fellow position under the supervision of Dr. Xin Yu (Group Leader at MPI for Biological Cybernetics). This position is open until filled. *Research Description*: Understand and learn to control the brain circuits underlying critical brain states, such as coma or arousal. Potential assignments: a. build up the multi-modal platform to monitor the brain states of rat coma models, e.g. implementing the MRI/EEG/calcium recording methods for global brain state verification. b. target specific nuclei with deep brain optogenetic stimulation methods, potentially involved in developing real-time biofeedback controlling schemes. Experience with signal processing and programming is highly desired*. *The candidates should bear a certain experience or strong interest on brain functional imaging, e.g. task-based BOLD fMRI. The Max Plank Institute for Biological Cybernetics is located in Tübingen, Germany. The High-field Magnetic Resonance Department is equipped with the 3T, 9.4T human MR scanner and 14.1T animal Bruker MR Scanner. The Max Planck Society is an affirmative action/equal opportunity employer, and encourages applications from qualified women and minority candidates. Please send your CV (in English) to Dr. Yu if interested. Contact info: Dr. Xin Yu Research Group leader Max-Planck Institute for Biological Cybernetics Spemannstrasse 41 72076 Tübingen Germany E-mail: xin.yu(a)tuebingen.mpg.de; phone: 49 7071 601-740 Dr. Yu has published seminal papers on small animal high field MRI in *Nature Neuroscience, Nature Methods, Neuron, PNAS, NeuroImage* etc.

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2nd Monash Brain Function Workshop --- Multi-modal approaches to understand brain functions
by Naotsugu Tsuchiya Oct. 28, 2015

Oct. 28, 2015

2nd Monash Brain Function Workshop --- Multi-modal approaches to understand brain functions *- Deadline for poster abstracts and early registration: 15 Nov 2015* *- Registration - http://ecommerce.med.monash.edu.au/product.asp?pID=626&cID=2 <http://ecommerce.med.monash.edu.au/product.asp?pID=626&cID=2> * *Date:* Dec 14 (Mon) 2015 *Venue:* Auditorium, Monash Biomedical imaging, 770 Blackburn Rd, Clayton *Overview* The goal of this workshop is to offer an opportunity for neuroscientists from different backgrounds to interact and exchange ideas. Specifically, we encourage participation of neuroscientists who are interested in understanding neural systems involved in perception and behaviour, and those who combine multiple methodologies, such as electrophysiology, advanced signal processing, computational modelling and cognitive neuroscience. Registration: $50 AUD ($25 AUD for students & postdocs or those who are affiliated with ARC Centre of Excellence for Integrative Brain Function) Organizers: Nao Tsuchiya, Nic Price, Alex Fornito, Jeroen van Boxtel, Gary Egan (Monash University) Contact: for questions about this event, please contact Nao Tsuchiya ( naotsugu.tsuchiya(a)monash.edu) Keynote Speakers: Peter Dayan (computational neuroscience, - UCL, UK) Zhaoping Li (computational neuroscience, psychophysics - UCL, UK) *Speakers:* 1. Lucy Palmer (Florey Institute, Neurophysiology) 2. Andrew Zalesky (University of Melbourne, Neuroimaging/Connectome) 3. Masafumi Oizumi (RIKEN BSI, Japan & Monash University, Computational Neuroscience) 4. Peter Bossarts (University of Melbourne, Neuroeconomics) 5. Pascal Molenberghs (Monash University, Social Neuroscience) 6. Jennifer Windt (Monash University, Philosophy/Cognitive Neuroscience) or 7. Maureen Hagan (Monash University, physiology, Neurophysiology) Supported by Australian Research Council Centre of Excellence for Integrative Brain Function. -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage 1. ARC Future Fellow 2. Associate Professor - School of Psychological Sciences, Faculty of Biomedical and Psychological Sciences, Monash University - Monash Institute of Cognitive and Clinical Neurosciences, Monash University http://med.monash.edu.au/psych/email-sig/miccn-email-sig.jpg <http://www.monash.edu/neuro-institute/> orcid.org/0000-0003-4216-8701

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4 Year Lecturer Position at QUT Across Robotics, Neuroscience and Computer Vision
by Michael Milford Oct. 28, 2015

Oct. 28, 2015

We have a 4 year Lecturer Position available at QUT to work closely with my research group at the boundary between robotics, neuroscience and computer vision, developing Frankenstein models of visual and spatial intelligence that combine the best performing and best understood parts of human, animal and insect brains. Here's the ad: http://tinyurl.com/nzdujv3 Some of the highlights: * You'll get to push the boundaries of our understanding of the brain and how we can model it to create new technologies and capabilities for robotics and AI * Minimize that start-up lag: you'll land in the middle of a large research group and have the opportunity to immediately get involved in the supervision of several PhD students working in the area - in fact, your ability to effectively lead and supervise PhD students is critical to this role * Tap into collaborations with some of the world's top roboticists, neuroscientists and computer vision researchers at leading international institutions including David Cox at Harvard University, Michael Hasselmo at Boston University, Andrew Davison at Imperial College London, Barbara Webb at Edinburgh University and many more. * Get access to top local researchers and major projects including the $19,000,000 Australian Centre for Robotic Vision, the $676,000 project this position is associated with, as well as multiple other projects including a $3,000,000 Strategic Investment in Farm Robotics. * You'll have the opportunity to teach into some of the most fun, engaging and fulfilling robotics-related units at our university. Videos of some of the units we teach can be found at https://youtu.be/FBEINbpovBE and https://youtu.be/_2mp98Sk6fQ. * Work in the heart of Brisbane, a modern bustling city of 2 million people, located near to amazing beaches and vast swathes of untouched wilderness. If you love hiking / running / cycling / swimming / surfing / parasailing, you can find it here. Catch a short flight and you're on the Great Barrier Reef or in the Barossa Valley. * Be immersed in a large, very successful and sociable robotics group of more than a hundred academics, postdocs and students, in a brand new building space. Here's the ad again: http://tinyurl.com/nzdujv3 Best regards, Michael Michael Milford Associate Professor | ARC Future Fellow | Microsoft Faculty Fellow | Chief Investigator, Australian Centre for Robotic Vision Australian Centre for Robotic Vision | Electrical Engineering and Computer Science School Science and Engineering Faculty | Queensland University of Technology [banner_tedxqut]<https://www.youtube.com/watch?v=m_U7qIjvMJw> S Block, Room S1110, Gardens Point Campus ph 3138 9969 | email michael.milford(a)qut.edu.au<mailto:c.degroot@qut.edu.au> CRICOS No 00213J More information available at: https://wiki.qut.edu.au/display/cyphy/Michael+Milford Google Scholar Profile: http://scholar.google.com/citations?user=TDSmCKgAAAAJ&hl=en MilfordRobotics Youtube Channel: https://www.youtube.com/user/milfordrobotics * Highlighted Publications * * Review of Robotics and Biological Navigation Principles- "Principles of goal-directed spatial robot navigation in biomimetic models", Philosophical Transactions of the Royal Society B, link http://rstb.royalsocietypublishing.org/content/369/1655/20130484 * Visual Place Recognition Under Extreme Perceptual Change - "SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights", International Conference on Robotics and Automation, link http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6224623 * Navigating without GPS, using only a web camera - "Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System", IEEE Transactions on Robotics, link http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4627450 * Continual mapping and navigation over a 2 week office delivery robot experiment - "Persistent Navigation and Mapping using a Biologically Inspired SLAM System", International Journal of Robotics Research, http://ijr.sagepub.com/content/29/9/1131.abstract * Combining robotics, neuroscience and animal navigation to manage uncertainty when navigating - "Solving Navigational Uncertainty Using Grid Cells on Robots", PLoS Computational Biology, http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000995

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CORRECTION: Neural network modelling of motor control: 30 week postdoctoral position in New Zealand
by Alistair Knott Oct. 28, 2015

Oct. 28, 2015

We are seeking applications for a short-term postdoctoral researcher, to develop a neural network model of the learning and execution of actions that move an effector or controlled target object along a prespecified trajectory. The project will focus on movements that bring an agent’s hand into a goal location, or that transport an object carried by the hand to a goal place: for instance, the kinds of movement described by the sentences ‘John put his hand on the table’ or ‘Mary put the cup onto the table’. In such actions, there is evidence that the controlled object’s trajectory is defined in a coordinate system centred on the environment: for instance, that the hand or the cup moves in a relatively straight line in Cartesian space in simple point-to-point actions (see e.g. Cisek, 2005). The focus of the project is to model the mechanism that learns to map motor actions, defined in motor coordinates, onto environment-centred trajectories. The modelling work will contribute to an ongoing project modelling the interface between sensorimotor mechanisms and natural language, and will extend an existing model of the learning and control of motor actions. Cisek, P (2005). Neural representations of motor plans, desired trajectories, and controlled objects. Cognitive Processes 6:15–24. The fixed-term position is for 30 weeks, starting in February or March 2016, on the Postdoctoral Fellow salary scale ($74,046 per annum). It is based at the Department of Computer Science at the University of Otago in New Zealand, under the supervision of Assoc. Prof. Alistair Knott. The department has an active neural networks programme with five academic staff working in this area, and two more working in related areas of computer vision. If you have questions about the project, please contact Alistair Knott (alik(a)cs.otago.ac.nz) See here for more information about this position, including details about how to apply. The deadline for applications is November 22nd 2015. Otago University is in Dunedin, a university town on the South-East coast of New Zealand's South Island. Dunedin sits on a spectacular harbour, with unspoiled beaches for wildlife and surfing, and lies within a few hours' drive of Queenstown and Wanaka in the Southern Alps.

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Postdoctoral position: theoretical and computational neuroscience (Fiete group)
by Ila Fiete Oct. 27, 2015

Oct. 27, 2015

Postdoctoral position in Theoretical and Computational Neuroscience ----------------------------------------------------------- The neural coding and dynamics group at the University of Texas at Austin, led by Ila Fiete, has an open postdoctoral position. We are looking for candidates trained in quantitative fields whose interest has turned to the study of neural circuits. Interests in the group range from cortical codes to short-term memory, circuit dynamics that underlie non-trivial cognitive computations, the effects of noise on neural computation, error-correcting codes, spatial navigation, quantitative data analysis, and the self-organization of circuits through unsupervised and reinforcement learning. For more information, please visit http://clm.utexas.edu/fietelab/. The initial appointment will be for 1 year with a possibility of extension for a total of 3 years. Environment: The Center for Learning and Memory and the Institute for Neuroscience at the University of Texas at Austin consist of an energetic mix of junior and senior faculty who use imaging, electrophysiology, molecular biology, biochemistry, genetics, psychology, physics, and computer science techniques to study the brain. UT Austin has top-ranked programs in computer science, engineering, non-linear dynamical systems, mathematics and the sciences, and the Fiete group enjoys collaborative interactions with members from several of these departments. Austin is the 11th-largest and 1st fastest-growing US city, home to a high density of technology and Fortune 500 corporations. It supports a thriving live-music scene, extensive outdoor facilities for sports and a year-round climate conducive to their pursuit. To Apply: Candidates with strong quantitative training (e.g. a Ph.D. or expected Ph.D. in Physics, Mathematics, Computational Neuroscience, Computer Science, or Engineering by the start date of the position) and evidence of scientific achievement are invited to apply. Knowledge of neuroscience is a plus. Please send 1) a CV or resume, 2) a statement of past research, 3) a statement of future research interests/plans, and 4) arrange for 3 letters of recommendation to be directly sent by the writers to ilafiete(a)mail.clm.utexas.edu <mailto:ilafiete@mail.clm.utexas.edu>. Application review will begin immediately and continue until the position is filled; applications received by November 15 are guaranteed to receive full consideration.

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tenure track position in Stochastic Processes & Applications at Tufts
by Borgers, Christoph Oct. 27, 2015

Oct. 27, 2015

This is not a position in computational neuroscience, but may be a good match for some subscribers to this list. Christoph Börgers Tufts University, Department of Mathematics Probability, Stochastic Processes, and their Applications Tenure Track Assistant Professor Applications are invited for a tenure-track Assistant Professorship, to begin July 1, 2016. A Ph.D. in Mathematics, Applied Mathematics, or a closely related field; promise of strong teaching; and evidence of strong research are required. A research focus on Probability, Stochastic Processes, and their applications is required. Experience in areas of research of specific interest to departmental members, such as stochastic differential equations or uncertainty quantification, is a plus. The successful candidate will be expected to interact with other researchers in the department, to have a desire and willingness to collaborate with Tufts researchers outside the department, and to teach four courses a year, which may include our upper level/graduate courses in probability, statistics, and real analysis. Applicants should submit a cover letter that includes short statements on the focus of their research as well as their ability and interest in collaborating with Tufts researchers both inside and outside the department, a curriculum vitae, a research statement, and a teaching statement. These documents should be submitted electronically through http://www.mathjobs.org<http://www.mathjobs.org/>. In addition, applicants should arrange for three letters of recommendation to be submitted electronically on their behalf through http://www.mathjobs.org<http://www.mathjobs.org/>. If a recommender cannot submit online, we will also accept signed PDF attachments sent to Misha.Kilmer(a)tufts.edu<mailto:Misha.Kilmer@tufts.edu> or paper letters mailed to the Probability/Stochastic Processes Search Committee Chair, Department of Mathematics, Bromfield-Pearson Hall, Tufts University, Medford, MA 02155. Review of applications will begin on December 1, 2015, and will continue until the position is filled. Tufts University is an Affirmative Action/Equal Opportunity employer. We are committed to increasing the diversity of our faculty. Members of underrepresented groups are strongly encouraged to apply.

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Post-Doc Opening in Biosignal Analysis for Assistive Technologies
by Giacinto Barresi Oct. 27, 2015

Oct. 27, 2015

===> Post-Doc Opening in Biosignal Analysis for Assistive Technologies Info: http://iit.it/en/openings/research-departments/advanced-robotics-openings/3… The Biomedical Robotics Lab at the Department of Advanced Robotics (ADVR) at Istituto Italiano di Tecnologia (IIT), (http://www.iit.it/en/advr-labs/biomedical-robotics-lab-new.html ), an English-speaking research Institute, is looking for a highly motivated, full-time postdoctoral research fellow to work in the area of biosignal analysis for assistive technologies. This position is dedicated to research and development of novel solutions for the processing and analysis of biosignals in the context of the project TEEP-SLA, funding by Fondazione Roma. This is a new project that proposes the creation of novel assistive technologies for ALS (Amyotrophic Lateral Sclerosis) patients. We are especially looking into satisfying the patients’ social interaction and communication needs with innovative patient interfaces and associated robotic technologies. We are looking for an outstanding scientist with a PhD in biomedical engineering, robotics, or other fields related to brain-computer interfaces or biomedical signal processing. The successful candidate will mainly focus on EEG signal processing techniques for BCI, but the work shall also consider the contribution of other indices of patient internal conditions (like temperature and skin conductance) as integrative sources of information for interaction with technological devices. The scientist will work in a multidisciplinary team including roboticists, biomedical engineers, interaction researchers and healthcare professionals. Field studies (involving patients, their relatives, and healthcare professionals) will be an integral part of the work, serving both to refine system specifications and to assess new technologies. This research will advance the state of the art in biosignal analysis for BCIs, enabling greatly enhanced patient experience during the use of assistive communication and social interaction systems. The position includes theoretical and hands-on research, supervision of PhD students, and support with the general activities of the lab. Desired qualifications: - PhD degree in biomedical engineering, robotics, or related fields. - Experience in biosignal analysis, preferably EEG signal processing for BCI applications. - Excellent publication record in biomedical signal processing. - Experience with tools for real-time data acquisition and online feature extraction. - Experience with machine learning techniques. - Experience interfacing computer systems and technological (e.g. robotic) devices. - Strong interest in assistive technologies and in field studies. - Creativity and proactive attitude. - Strong communication and English language skills (written and spoken) - Independent and persistent personality, strong team player The salary will depend on qualifications and experience and will include additional health benefits. To apply, please send electronically (1) your detailed CV with list of publications, (2) university transcripts, (3) your best first-author paper, (4) a cover letter outlining motivation and statement of research interests/plan and (5) contact information of at least two references to leonardo.mattos(a)iit.it by November 15th, 2015 stating “TEEP-SLA Post-Doc” in the subject of the e-mail. Only complete applications will be evaluated. Please note that this position is contingent on the signature of the relevant Grant agreement. Istituto Italiano di Tecnologia (IIT), with its headquarters in Genova, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy’s technological competitiveness. The institute offers state-of-the-art equipment and a top-level interdisciplinary research environment focused on robotics and computer vision, neuroscience, drug discovery, nanoscience and technology. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art. 7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Info: http://iit.it/en/openings/research-departments/advanced-robotics-openings/3… Giacinto Barresi, PhD Research Fellow Biomedical Robotics Laboratory Advanced Robotics (ADVR) Department Istituto Italiano di Tecnologia (IIT) Via Morego, 30 16163 Genova (Italy) Mobile: +39 331 9835396 Email: giacinto.barresi(a)iit.it Webpage: http://www.iit.it/en/people/giacinto-barresi

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Deadline extension: FUTURE COMPUTING 2016 || March 20 - 24, 2016 - Rome, Italy
by Cristina Pascual Oct. 27, 2015

Oct. 27, 2015

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - FUTURE COMPUTING 2016, The Eighth International Conference on Future Computational Technologies and Applications The submission deadline is November 17, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== FUTURE COMPUTING 2016 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS FUTURE COMPUTING 2016, The Eighth International Conference on Future Computational Technologies and Applications General page: http://www.iaria.org/conferences2016/FUTURECOMPUTING16.html Submission page: http://www.iaria.org/conferences2016/SubmitFUTURECOMPUTING16.html Events schedule: March 20 - 24, 2016 - Rome, Italy Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: November 17, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html FUTURE COMPUTING 2016 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2016/CfPFUTURECOMPUTING16.html ============================================================ Special sessions: Special sessions on "Memristor-based Computation and Technologies" Special sessions on "Quantum Computing" General tracks Computational intelligence strategies Cognitive computing; Intelligent computation; Ambient computing; Unconventional computing; Indeterminist computing; Adaptive computation; Autonomic computation; Computation under uncertainty; Chaotic computation; Intentional computing; Anticipative computing; Evolutionary computing Mechanism-oriented computing Spatial computation; Elastic computing; Human-centered computing; Embedded computing; Entertainment computing; Time-sensitive/temporal computing; Soft computing (fuzzy logic, neural computing, evolutionary computation, machine learning, and probabilistic reasoning + belief networks, + chaos theory + learning theory) Large-scale computing strategies Distributed computing; Parallel computing; Macro- and micro-computing; Activity-based computing; Data intensive computing; Resource-constraint computing; Grid computing; Cloud computing; Cluster computing; On-demand computing; Ubiquitous/pervasive computing; Memristor Computing; Unconventional computing; Evolutionary computing Computing technologies Quantum computing; Optical computing; DNA (genetic) computing; Molecular computing; Reversible computing; Billiard Ball computing; Neuronal computing; Magnetic computing; Gloopware computing; Moldy computing; Water wave-based computing; Graphene-based computing Quantum Computing Quantum computing models; Quantum complexity theory; Qubits; Non-deterministic and Probabilistic Computers; Quantum algorithms; Quantum computational operations; Scalable quantum computing; Quantum teleportation; Quantum cryptography; Quantum simulation; Quantum decoherence; Quantum gravity; Physical implementation of quantum computers Technology-oriented computing Peer-to-Peer computing; Mobile computing; Sensor-based computing; Wireless computing; Trusted computing; Financial computing; Genetic computation ------------------------ FUTURE COMPUTING 2016 Committee: http://www.iaria.org/conferences2016/ComFUTURECOMPUTING16.html ========================

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Comp-neuro: Postdoc/Assistant Professor & visiting professor positions
by Maro Machizawa Oct. 27, 2015

Oct. 27, 2015

Dear potential applicants on the Comp-neuro mailing list, Please see below for an announcement for: A position of postdoc/assistant professor (research) and visiting opportunities for associate/full professors at the Center for KANSEI Innovation at Hiroshima University, Japan. Looking forward to hearing from motivated candidates. Best Wishes, --- The Center for KANSEI Innovation, newly launched in 2013 at the Hiroshima University (one of top ten Japanese universities), is seeking computational/mathematical neuroscientists from overseas. Under the new, exciting scheme of government-funded project, COI STREAM, our mission is to innovate research developments foreseeing 10 years in the future. The center’s mission is to drive radical innovation on KANSEI— a Japanese term corresponding to emergent properties of our feelings, sensations, or emotions that are expressed and embedded in our complex neural and physiological responses. One of our primary missions is to create brain emotion interfaces, which is to bridge mental gaps amongst people, enriching our mental quality of life. The center is fully equipped with our own MRI scanner (Siemens Verio 3T) with EEG, eye-tracker, TMS, and tACS/tDCS facilities, as well as several physiological-measurement equipments, plus a shared access to an MEG facility. Full-time research lecturer (assistant professor)/Postdoc: The successful candidate for the full-time positions has expertise in mathematical models on data collected from multimodal environment (i.e., fMRI and EEG as well as various physiological responses). Expertise in machine learning, computational engineering, and/or brain computer interface is necessary. High interpersonal skills are expected as well to interact with a large group of talented, interdisciplinary colleagues from universities and industries with various backgrounds in a friendly, open-minded environment. Contract will be updated annually. The position is available now. Visiting professor (on sabbatical): We are also seeking visiting professors on a sabbatical with background including but not limited to computational/mathematical neurosciences. Expertise in other fields related to neuroscience and engineering are welcome. A period to visit is negotiable, but until year 2020. For both positions, salaries are depending on your experiences and a regulation set by the Hiroshima University Faculty Members employed under annual salary system. About Hiroshima: The center is located at the heart of a beautiful city of Hiroshima, which is the biggest city around the Chugoku region on the main island in Japan. Hiroshima is well known for its fruitful resources for activities, nature, and high-quality cuisines. Our website: http://coikansei.hiroshima-u.ac.jp/en/ For more details, or to apply (with your CV), send an email to: recruit(a)coikansei.hiroshima-u.ac.jp --- Maro Machizawa, PhD (Neurology) Assistant Professor Dept. Psychiatry & Neurosciences Center for KANSEI Innovation TEL: +81(0)82-257-1722; FAX: +81(0)82-257-1723

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CfP: ICLR 2016 - Conference Track (updated)
by Hugo Larochelle Oct. 26, 2015

Oct. 26, 2015

Update: Submissions and the review process, with a single round of reviewing, will again this year be supported by CMT rather than OpenReview.net<http://OpenReview.net>. We hope to use OpenReview.net<http://OpenReview.net> in the near future. ------------------------------------------------------------------- 4th International Conference on Learning Representations (ICLR 2016) ------------------------------------------------------------------- Website: http://www.iclr.cc/ Submission deadline for title and abstract: November 12th, 2:00pm Pacific Standard Time, 2015 Submission deadline for arXiv paper ID: November 19th, 2:00pm Pacific Standard Time, 2015 Location: Caribe Hilton, San Juan, Puerto Rico, May 2-4, 2016 Overview -------- It is well understood that the performance of machine learning methods is heavily dependent on the choice of data representation (or features) on which they are applied. The rapidly developing field of representation learning is concerned with questions surrounding how we can best learn meaningful and useful representations of data. We take a broad view of the field, and include in it topics such as deep learning and feature learning, metric learning, kernel learning, compositional models, non-linear structured prediction, and issues regarding non-convex optimization. Despite the importance of representation learning to machine learning and to application areas such as vision, speech, audio and NLP, there was no venue for researchers who share a common interest in this topic. The goal of ICLR has been to help fill this void. A non-exhaustive list of relevant topics: - unsupervised, semi-supervised, and supervised representation learning - metric learning and kernel learning - dimensionality expansion - sparse modeling - hierarchical models - optimization for representation learning - learning representations of outputs or states - implementation issues, parallelization, software platforms, hardware - applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other field The program will include keynote presentations from invited speakers, oral presentations, and posters. As usual, ICLR will feature two tracks: a Conference Track and a Workshop Track. However, this year, conference and workshop submissions will be reviewed separately, in two different periods. This call for paper is thus only for conference contributions. Workshop submissions will be received a few months before the conference and be subject to a lighter review. A future call for papers will be sent with more details on the Workshop Track. Note that some of the submitted papers that are not accepted to the Conference Track will be invited to be presented under the Workshop Track. ICLR Submission Instructions ---------------------------- 1. By November 12th (2:00pm Pacific Standard Time) authors are asked to submit through CMT the title, abstract, author list, subject areas and a draft of their paper: https://cmt.research.microsoft.com/ICLR2016Conference/ 2. Then, as soon as possible, authors must post on arXiv their submission: http://arxiv.org<http://arxiv.org/> . 3. Finally, by November 19th (2:00pm Pacific Standard Time), authors must update their submission in CMT with the arXiv ID of their finalized paper. They must also update their PDF submission within CMT. Note that there can be up to 3 days of delay between sending a manuscript on arXiv and receiving your arXiv ID. It is thus important to post your submission on arXiv early. Note also that you can always update your submission on arXiv later on. Submissions without an arXiv ID after November 19th will be automatically removed from CMT. For more information on paper preparation, including the mandatory style files, please see http://www.iclr.cc/ . Submission deadline: November 12th (2:00pm Pacific Standard Time) for title, abstract and preliminary draft, November 19th (2:00pm Pacific Standard Time) for arXiv ID and final submission PDF. Notes: i. Regarding the conference submission's 6-9 page limits, these are really meant as guidelines and will not be strictly enforced. For example, figures should not be shrunk to illegible size to fit within the page limit. However, in order to ensure a reasonable workload for our reviewers, papers that go beyond the 9 pages should be formatted to include a 9 page submission, with supplementary material appended at the end of the manuscript and clearly marked as an appendix, which will be optionally reviewed. ii. Paper revisions will be permitted, and in fact are encouraged, in response to comments from and discussions with the reviewers (see "An Open Reviewing Paradigm" below). An Open Reviewing Paradigm -------------------------- 1. Submissions to ICLR are posted on arXiv prior to being submitted to the conference. 2. Authors submit their paper to the ICLR conference track via the CMT ICLR 2016 conference track website. 3. After the authors have submitted their papers via CMT, the ICLR program committee designates anonymous reviewers as usual. 4. The submitted reviews are published without the name of the reviewer, but with an indication that they are the designated reviews. 5. Anyone can openly (non-anonymously) write and publish comments on the paper. Anyone can ask the program chairs for permission to become an anonymous designated reviewer (open bidding). The program chairs have ultimate control over the publication of each anonymous review. Open commenters will have to use their real names. 6. Authors can post comments in response to reviews and comments. They can revise the paper as many times as they want, possibly citing some of the reviews. Reviewers are expected to revise their reviews in light of paper revisions. 7. The review calendar includes a generous amount of time for discussion between the authors, anonymous reviewers, and open commentators. The goal is to improve the quality of the final submissions. 8. The ICLR program and area chairs will consider all submitted papers, comments, and reviews and will decide which papers are to be presented in the conference track, which will be invited to be presented in the workshop track, and which will not appear at ICLR. 9. Papers that are presented in the workshop track or are not accepted will be considered non-archival, and may be submitted elsewhere (modified or not), although the ICLR site will maintain the reviews, the comments, and the links to the arXiv versions. Organizers ---------- Yoshua Bengio, Université de Montreal, General Chair Yann LeCun, New York University and Facebook, General Chair Hugo Larochelle, Twitter and Université de Sherbrooke, Senior Program Chair Brian Kingsbury, IBM Watson Group, Program Chair Samy Bengio, Google, Program Chair Contact ------- The organizers can be contacted at iclr2016.programchairs(a)gmail.com<mailto:iclr2016.programchairs@gmail.com>

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PDF Job: Computational Modeling of Neural Population Dynamics
by Andrew Pruszynski Oct. 26, 2015

Oct. 26, 2015

Postdoctoral Fellow: Computational Modeling of Neural Population Dynamics We are looking for one full-time postdoctoral fellow for a collaborative project between Dr. Andrew Pruszynski, Dr. Jörn Diedrichsen and Dr. Martinez-Trujillo. This position offers the unique opportunity to analyze and model data from both multi-unit electrophysiological recordings and high-resolution functional imaging studies. The project is primarily computational in nature, involving multivariate analysis and modeling of large-scale neural networks during sensory-motor, decision, and navigation tasks. Our labs use a broad range of methods, including single-unit and multi-unit recordings, behavioural experiments, high-resolution functional imaging at 7T, and computational modelling. Applicants must have a strong mathematical and/or technical background and should have previous publications in computational neuroscience broadly defined. Our laboratories are located at the Brain and Mind Institute and Robarts Research Institute, both at Western University in London, Ontario, Canada. Systems and cognitive neuroscience are key areas of research strength at Western University with more than 25 Principal Investigators and nearly 200 trainees. A PhD degree in neuroscience, psychology, computer science, engineering, kinesiology, or related fields is required. Annual salary depends on the level of experience but will be no less than $42,000. Initial appointments will be for a period of 1 year, with possibility for renewal. Further inquiries and applications including a CV and a statement of research interest should be sent by email to: andrew.pruszynski(a)uwo.ca. Applications will be reviewed on a rolling basis until the position is filled.

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10 Open PhD Positions in Frankfurt, Germany: International Max Planck Research School for Neural Circuits
by Jochen Triesch Oct. 25, 2015

Oct. 25, 2015

Call for Applications IMPRS for Neural Circuits The International Max Planck Research School (IMPRS) for Neural Circuits was funded in 2011 by the Max Planck Society and offers ten positions every year for excellent students holding a relevant Master´s or Bachelor´s degree to perform research resulting in a PhD. The program is taught in English. All positions are completely funded by the school and/or participating Labs. The common focus of the IMPRS for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method. In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community (see website for participating Faculty members). Students will participate in a tailor-made educational program including research rotations and neuroscience classes but also in trainings in transferable skills. We welcome excellent students to apply to the program. Till January 15, 2016, it will be possible to apply for a position starting in the Fall of 2015. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt (March 2016). Shortly after the symposium, the students will receive a letter with an offer or rejection. More information can be found on our website www.imprs.brain.mpg.de. Please send an email to Dr. Arjan Vink, arjan.vink(a)brain.mpg.de, if you have more specific questions. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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[INNS-BigData 2016] Call for Papers
by Teng Teck Hou Oct. 25, 2015

Oct. 25, 2015

[Apologies for cross-postings] ########################################### The INNS Big Data conference 2016 October 23-25, 2016, Thessaloniki, Greece CALL FOR PAPERS ########################################### Homepage: http://www.innsbigdata.org ########################################### Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can't easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. This type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used on stored big data. Neural network technologies thus can become significant components of big data analytics platforms and this inaugural INNS Conference on Big Data will begin that collaborative adventure with big data and other learning technologies. Thus the aim of this conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). Awards ########################################################### * Best papers will be selected and awarded as follows: - Best regular paper - Best student paper * This will be based on a combination of reviewers' comments, presentations and importance and quality judged by a panel. * Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be commemorated by a certificate. ########################################################### Important Dates ########################################################### Special Session Proposals February 15, 2016 Tutorials and Workshops Proposals February 15, 2016 Paper Submission March 21, 2016 Paper Decision Notification May 16, 2016 Camera Ready Submission of papers June 13, 2016 ########################################################### Co-Sponsors * International Neural Network Society (INNS) * Springer Plenary Speakers * Francesco Bonchi, Yahoo Research Labs and ISI, Italy * Piotr Mirowski, Google DeepMind, London, UK * Hany Choueri, The Chief Data Scientist, Bank of England, UK (tbc) Advisory Board * Walter Freeman, University of California, Berkeley, USA * Ali Minai, University of Cincinnati, USA * Danil Prokhorov, Toyota Tech Center * Theodore Trafalis, University of Oklahoma, USA * Kumar Venayagamoorthy, Clemson University, USA * Bernard Widrow, Stanford University, USA General Chairs * Plamen Angelov, Lancaster University, UK * Yannis Manolopoulos, Aristotle University, Greece PC Chairs * Lazaros Iliadias, Democritus University, Greece * Asim Roy, Arizona State University, Tempe, USA * Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil Special Sessions Chairs * Alessandro Ghio, University of Genoa, Italy * Irwin King, Chinese University of Hong Kong, China Tutorials/Workshops Chair * Nikola Kasabov, Auckland Universitty of Technology, New Zealand * Bernardete Ribeiro, University of Coimbra, Portugal Poster Session Chairs * Yi Lu Murphy, University of Michigan-Dearborn, USA * Liang Zhao, University of Sao Paulo, Brazil Awards Chair * Araceli Sanchis de Miguel, Carlos III University, Spain Competitions Chair Adel Alimi, University of Sfax, Tunisia Panel Chair * Leonid Perlovsky, Harvard University, Boston, USA Sponsors/Exhibit Chairs * James Dankert, BAE Systems, USA * Rosemary Paradis, Lockheed Martin, USA Publication Chairs * Danilo Mandic, Imperial College, London, UK * Mariette Awad, American University of Beirut, Lebanon International Liaison * De-Shuang Huang, Tongji University, Shanghai, China * Petia Georgieva, University of Aveiro, Portugal Publicity Chairs, * Teng Teck Hou, Singapore Management University, Singapore * Simone Scardapane, The Sapienza University of Rome, Italy * Jose Antonio Iglesias Martinez, Carlos III University, Spain Paper Submission and Publication ########################################################### * Original works submitted as a regular paper limited to a maximum of 10 pages in Springer format will be published in the proceedings to be available electronically as a Springer book to download for delegates. * It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. * At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. ########################################################### Topics and Areas include, but not limited to: * Autonomous, online, incremental learning - theory, algorithms and applications in big data * High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data * Scalable algorithms for big data * Learning algorithms for high-velocity streaming data * Big data streams analytics * Deep neural network learning * Machine vision and big data * Brain-machine interfaces and big data * Cognitive modeling and big data * Embodied robotics and big data * Fuzzy systems and big data * Evolutionary systems and big data * Evolving systems for big data analytics * Neuromorphic hardware for scalable machine learning * Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.) * Big data and collective intelligence/collaborative learning * Big data and hybrid systems * Big data and self-aware systems * Big Data and infrastructure * Big data analytics and healthcare/medical applications * Big data analytics and energy systems/smart grids * Big data analytics and transportation systems * Big data analytics in large sensor networks * Big data and machine learning in computational biology, bioinformatics * Recommendation systems/collaborative filtering for big data * Big data visualization * Online multimedia/ stream/ text analytics * Link and graph mining * Big data and cloud computing, large scale stream processing on the cloud

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MIT postdoc position in AI/neuroscience/physics
by Max Tegmark Oct. 25, 2015

Oct. 25, 2015

The MIT Physics Department invites applications for a postdoctoral research position to work with Professor Max Tegmark on the physics of cognitive systems, in close collaboration with Tomaso Poggio, Edward Boyden and others associated with the Center for Brains, Minds & Machines (https://cbmm.mit.edu/about/people) Research interests at the interface of theoretical physics, computational neuroscience and artificial intelligence are a strong plus. Candidates interested in exploring ways to test theories with the state-of-the-art data we are measuring here are particularly welcome. Applicants should upload a curriculum vitae, a list of publications, a brief description of research interests and goals at https://academicjobsonline.org/ajo/jobs/6492 and should arrange for three letters of recommendation to be uploaded to this site by December 1, 2015. 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 Affirmative Action/Equal Opportunity employer committed to diversity and inclusion.

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2x Post-Doctoral Positions (Faisal Lab @ Imperial College London)
by Faisal, Aldo A Oct. 23, 2015

Oct. 23, 2015

Dear Colleagues We are looking to hire two 3-year PostDoctoral Research Fellows in the areas of computational neuroscience, eye movements & motor control with the opportunity of translating their basic research into immediately useful clinical applications for movement impaired citizens. The projects focus on two core areas of our lab: 1. action intention decoding from natural eye movements (and translation into control of robotic manipulators with spinal cord injury patients). 2. quantifying natural sensory and movement statistics of humans in daily life using our wearable technology to capture 70% of sensory input and 90% of movement output in people's life. and characterise these in terms of hierarchical structure of behaviour and sparse coding of movement. The ideal backgrounds for these Research Fellowships are computational neuroscience or computational motor control. The hardware and translation aspects for these projects are being custom-developed for the Research Fellows by our industry partners. Similarly, work with patients is supported by our clinical partners. Our Brain & Behaviour Laboratory is truly multi-disciplinary, dynamic and co-located between the Department of Bioengineering and the Department of Computing at Imperial College in the centre of London. Out of 5 post-docs and research fellows we sponsored in the past, 3 are now in faculty (UCL, Imperial) or research group leader positions in industry (Toshiba Research Labs). http://www.jobs.ac.uk/job/AME198/research-associate/ The positions will be advertised till filled. regards Aldo --- Aldo Faisal Director Brain & Behaviour Lab Dept. of Bioengineering & Dept. of Computing Imperial College London and MRC Clinical Sciences Centre London www.FaisalLab.org

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postdoctoral position (Pillow lab @ Princeton)
by Jonathan Pillow Oct. 22, 2015

Oct. 22, 2015

Postdoctoral position in Statistical & Computational Neuroscience ----------------------------------------------------------------------------------------- A postdoctoral position in computational and statistical neuroscience is available in the lab of Jonathan Pillow at Princeton University. The Pillow lab's research focuses on the statistical modeling of neural data and of information processing in neural populations. Current research projects include: - point process regression models for neural encoding - latent variable models of neural population activity - statistical methods for high-dimensional data (fMRI, spike sorting, Ca-imaging) - active learning methods for adaptive closed-loop experiments - Bayesian models of perception and behavior - models of sensory coding and decision-making The Pillow lab develops statistical models and methods for characterizing statistical structure underlying neural activity. We collaborate closely with a variety of experimental labs in order to use these methods to study information processing in the nervous system. For more information, please visit: http://pillowlab.princeton.edu/ Environment ---------- The Pillow lab is located in the Princeton Neuroscience Institute, and is affiliated with the Center for Statistics and Machine Learning and the department of Psychology. Princeton has a vigorous and rapidly growing neuroscience community, with an energetic mix of junior and senior faculty who use imaging, electrophysiology, genetics, psychology, statistics, and computer science techniques to study the brain. Princeton has excellent programs in engineering, mathematics, machine learning. To Apply -------- Applicants should have a Ph.D. in a quantitative discipline (eg, Neuroscience, Engineering, Computer Science, Statistics, Mathematics, Physics) by the time they start the position. Desired qualifications include familiarity with Bayesian statistical methods and/or probabilistic models of neural data, and experience with programming in Matlab, Python, or other languages. Applicants should have creativity, independence, enthusiasm for research, and a high level of mathematical expertise. Applicants should submit: (1) 1-2 page research statement (2) a current CV (3) the names and contact details of 2-3 references. Inquiries and applications may be addressed by email to Jonathan Pillow ( pillow(a)princeton.edu) Application review will begin November 1 and continue until the position is filled.

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All-Level Faculty Positions in Interdisciplinary Research in Computer Vision, Neurally-inspired Computing and Data Science
by Ralf Haefner Oct. 21, 2015

Oct. 21, 2015

All-Level Faculty Positions in Interdisciplinary Research in Data Science The University of Rochester has made data science the centerpiece of its 5-year strategic plan, committing to 20 new faculty lines in diverse areas, a new building, and the establishment of the Goergen Institute for Data Science. We are currently seeking applicants for tenure track or tenured positions in interdisciplinary research areas within data science. This search complements department-specific searches in data science currently underway. The interdisciplinary search focuses on recruiting candidates who are excited about engaging in collaborative research that connects advances in computational models and methods to the humanities, sciences, or medicine. Successful candidates will receive a primary appointment in one of the departments supporting the search, and a secondary appointment in at least one other department. Departments and programs supporting this search include Biomedical Engineering, Brain & Cognitive Sciences, Computer and Electrical Engineering, Computer Science, Digital Media Studies (a program of Art & Art History, English, and History), Linguistics, and Political Science. Potential cross-appointments with the School of Medicine and Dentistry will also be considered. Focus areas for this year’s interdisciplinary search are: ● Neurally-inspired Computing: Research in artificial neural networks, including the fundamental theory of deep learning, practical applications to tasks such as perception, or as a tool for modeling and understanding biological neural networks. ● Computer Vision and Image Analysis: Research in the theory and applications of computational methods of image or video understanding, with a particular interest in applications to biomedicine or the humanities. ● Computational Linguistics: Research in the theory or applications of natural language processing, with a particular interest in applications to linguistics, the social sciences, or the humanities. Apply online at: https://www.rochester.edu/faculty-recruiting <https://www.rochester.edu/faculty-recruiting>. Direct questions about the search (but not applications) to michelle.vogl(a)rochester.edu <mailto:michelle.vogl@rochester.edu>. For more information about the Goergen Institute for Data Science, visit http://www.rochester.edu/data-science <http://www.rochester.edu/data-science>. Applicants should hold a PhD and will be required to supply a set of refereed scholarly publications, names of references, and research and teaching statements. The application will ask applicants to select a set of disciplines most relevant to their research area. Review of applications at any rank will begin immediately and continue until the positions are filled. For full consideration, applications should be completed by January 15th, 2016. The University of Rochester is a private, Tier I research institution located in western New York State. It consistently ranks among the top 30 institutions, both public and private, in federal funding for research and development. The university has made substantial investments in computing infrastructure through the Center for Integrated Research Computing (CIRC) and the Health Sciences Center for Computational Innovation (HSCCI). The university includes the Eastman School of Music and the University of Rochester Medical Center, a major medical school, research center, and hospital system. The greater Rochester area is home to over a million people, including 80,000 students who attend the 8 colleges and universities in the region. The University of Rochester has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education. The University is an Equal Opportunity Employer.

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Post-Doctoral position in brain imaging – University of Geneva
by Narly Golestani Oct. 21, 2015

Oct. 21, 2015

Applications are invited for a Post-Doctoral position in the Brain and Language Lab (www.brainandlanguagelab.org<http://www.brainandlanguagelab.org/>) at the University of Geneva. The position is for 2 years (or more), and will be at the new Biotech Campus (http://www.campusbiotech.ch/en/) Candidates should have a degree in Cognitive Neuroscience, Biomedical Engineering, Computational Neuroscience or a related field, and should have solid experience in brain imaging data analysis, computational modelling, pattern recognition, machine learning, statistics and programming. The projects will involve the use and development of computational morphometry and of computational modeling to study auditory cortex structure and function in healthy individuals, in experts and in individuals with dyslexia. The salary is competitive, starting salary at ~ 69, 000 CHF/year (~81, 000 CHF/year as of August 2016) depending on experience. The position is available immediately, and applications will be considered until the position is filled. Informal inquiries can be addressed to Narly Golestani (Narly.Golestani(a)unige.ch) Applications including a CV, a statement of research interests, and the names and full contact details of three referees should be sent to: Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch>.

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Faculty position in Cognitive Science/Computational Modelling - University of Sheffield
by Tom Stafford Oct. 21, 2015

Oct. 21, 2015

*Chair/Reader/Senior Lecturer or Lecturer in Cognitive Science/Computational Modelling * Department of Psychology, University of Sheffield, UK Closing Date *24th November 2015* The Department of Psychology is looking for an outstanding scholar (at any level of seniority) in the area of Cognitive Science and Computational Modelling, to enhance its world-leading research portfolio in cognitive, computational and systems neuroscience and in brain-based robotics and its emerging activities in high volume data processing, online behavioural measurement, and virtual and mixed-reality systems. You should have a PhD (or equivalent qualification) in a relevant discipline, have an excellent publication record for your career stage/level and be able to evidence of the ability or potential to attract independent research funding. The ability to organize and carry out teaching, supervision and research training to a high standard is also essential. You will join a vibrant department, which is amongst the largest in the UK, which importantly has been consistently ranked as one of the outstanding research departments in all seven UK Research Assessment Exercises to date. We have one of the largest centres of postgraduate psychology research in the country and were ranked 7th in the UK for research income in the ESRC’s 2011 Psychology International Benchmarking exercise. The post is available from 1 April 2016. *For* further details visit: http://www.sheffield.ac.uk/jobs Job reference: UOS011888 For informal enquiries please contact Tony Prescott <https://www.sheffield.ac.uk/psychology/staff/academic/tony-prescott> ( t.j.prescott(a)sheffield.ac.uk) or Paul Overton <https://www.shef.ac.uk/psychology/staff/academic/paul-overton1> ( p.g.overton(a)sheffield.ac.uk) *About the University* Sheffield University <http://www.shef.ac.uk> is a World Top 100 University and home to 25,000 of the brightest students in the world. Twenty-four per cent of our students come from outside the UK. Our graduates and former staff include five Nobel Prize winners, an Olympic gold medallist and Britain’s first female astronaut. The Department of Psychology <http://www.sheffield.ac.uk/psychology/> at Sheffield is among the largest in the UK and has been consistently ranked as one of the outstanding research departments in all seven UK Research Assessment Exercises to date. For example, over 80% of our department’s research was classed as internationally excellent or world leading in the 2014 Research Excellent Framework (REF). The Department occupies a purpose-built 5-floor building (with annexes), which is being fully refurbished next year following considerable capital investment (~£10M) by the University. Facilities include a child development laboratory, high-density ERP and EEG (128 electrode) systems, and a virtual reality suite. The Department also occupies modern office and laboratory facilities at (i) the University's central neuroscience facility, which is fully equipped for state-of-the-art in vivo and in vitro neuroscience and behavioural testing, and includes a small-bore 7T fMRI facility; and (ii) Sheffield Robotics <http://www.sheffieldrobotics.ac.uk>, an interdisciplinary research institute equipped with an engineering workshop, robot platforms including the iCub humanoid, a human-robot interaction laboratory, and a motion capture suite. Across the University the department also actively participates in Insigneo <http://insigneo.org>, the Institute for in Silico Medicine, through its activities in digital organism models; and in the Centre for Assistive Technology and Connected Healthcare <http://www.catch.org.uk> (CATCH) through collaborative research on assistive technologies including companion robots. -- Tom Stafford http://www.tomstafford.staff.shef.ac.uk/ Lecturer in Psychology and Cognitive Science Department of Psychology, University of Sheffield Western Bank, Sheffield, S10 2TP, UK Room 2.24 Tel +44 (0) 114 22 26620 t.stafford(a)shef.ac.uk Office Hour: Thursdays 2pm-3pm during Semester (except reading week) NOTES FOR UNDERGRADUATE STUDENTS: please read this before emailing me http://tomstafford.staff.shef.ac.uk/email.htm ---------------------------------------------------------------

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Postdoctoral positions at the interface of algebraic topology and theoretical neuroscience at Penn State.
by Vladimir Itskov Oct. 20, 2015

Oct. 20, 2015

Applicants are invited for postdoctoral positions at the interface of theoretical neuroscience and algebraic topology or applied algebra. An ideal candidate is a mathematics Ph.D. with background in areas such as algebraic topology, geometry, commutative algebra, or combinatorics. Prior familiarity with neuroscience is not required, but interest in learning the relevant background is expected. The postdoctoral fellow will engage in the development of novel mathematical methods for understanding neural coding and neural networks. To apply for this position, please submit your application via the mathjobs.org website in response to the job ad http://www.mathjobs.org/jobs/jobs/7575 The closing date for applications is November 15, 2015. See also http://sites.psu.edu/mathneurolab/ for more information.

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Two faculty positions in applied mathematics -- Northwestern University
by William L. Kath Oct. 20, 2015

Oct. 20, 2015

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 to begin in September 2016. 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. We are seeking candidates who can enhance the breadth of research activities of the department. Candidates in all areas of applied mathematics are encouraged to apply. Areas of particular interest include, but are not limited to, (i) stochastic modeling of physical, biological or financial systems and (ii) scientific computing. 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. The application should be submitted online at: https://facultysearch.mccormick.northwestern.edu/apply/index/NzM= 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: 2016 Faculty Search). Review of applications will begin November 1, 2015, and will continue until the positions are 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. Hiring is contingent upon eligibility to work in the United States. For further information, see: http://www.mccormick.northwestern.edu/applied-math/. -- 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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2-year Postdoctoral Fellowship in Computational Neuroimaging of Flexible Visual Processing in Amsterdam.
by Tomas Knapen Oct. 20, 2015

Oct. 20, 2015

2-year Postdoctoral Fellowship in Computational Neuroimaging of Flexible Visual Processing in Amsterdam. We are seeking an enthusiastic postdoctoral fellow with excellent qualifications for a 7T functional imaging project. In this project, we will investigate how expectations and attention influence visual processing and perception in normal observers and expert meditators. A main ingredient of the project is a detailed mapping of retinotopic brain areas by constructing forward models based on convolutional neural networks <https://en.wikipedia.org/wiki/Convolutional_neural_network>. Therefore, we will consider applicants with strong quantitative skills from fields such as neuroscience, cognitive science, psychology, physics, mathematics, and engineering. Experience with functional imaging, programming, data analysis, machine learning and computational modelling would be advantageous but not required. This is an interdisciplinary collaborative project between cognitive neuroscience groups at the two universities in Amsterdam (Vrije Universiteit (VU) & Universiteit van Amsterdam (UvA)), funded through ABMP <http://www.abmp.eu/calls/>. The research will be supervised by Tomas Knapen <http://tknapen.github.io/> (VU), Heleen Slagter <http://www.heleenslagter.com/> (UvA) & Steven Scholte <http://www.cognitiveneuroscience.nl/index.php?p=502247> (UvA) in a dynamic research environment. The successful applicant will be stationed at the VU and imaging will be performed on the new 7T scanner at the Amsterdam Spinoza Center <http://www.spinozacentre.nl/>. The appointment will be for one year, with potential for a one-year renewal contingent on positive evaluation. Salary will be commensurate with experience, according to the Dutch universities’ collective labour agreement <http://www.vsnu.nl/en_GB/CAO>. Applications may be submitted by email to tknapen(a)gmail.com <mailto:tknapen@gmail.com>, with ABMP application in the subject line. Send an application letter, CV, and arrange for up to 3 letters of recommendation to be sent with the applicant’s name in the subject line. Applications will be considered from the 1st of November, continuing until the position is filled. Starting date is flexible, preferably around January 2016. Best Regards, Tomas Knapen Tomas Knapen Assistant Professor @ Vrije Universiteit Amsterdam - Cognitive Psychology <http://www.vupsy.nl/> Contact tknapen(a)gmail.com <mailto:tknapen@gmail.com> || +31 6 34091812 Web Lab website <http://tknapen.github.io/> || GitHub profile <https://github.com/tknapen>

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PhD studies in Computational Neuroscience and Neural Engineering at the University of Washington
by Adrienne Fairhall Oct. 20, 2015

Oct. 20, 2015

PhD studies in Computational Neuroscience and Neural Engineering at the University of Washington The University of Washington has a rich, active and highly collaborative community of researchers in systems and computational neuroscience (http://compneuro.washington.edu/) and neural engineering (http://uwin.washington.edu ). The University of Washington is a vibrant research university with a beautiful campus in a spectacular urban setting, with an ERC Center in Sensorimotor Neural Engineering (http://www.csne-erc.org/) the UW Institute for Neuroengineering, close connections to the local tech industry and the Allen Institute for Brain Science. UW is also a major data sciences center with interdisciplinary interactions coordinated through the eSciences Institute (http://escience.washington.edu) The city is a short distance from wilderness and outstanding summer and winter outdoor adventure. While faculty advisors belong to a wide range of different departments, researchers come together regularly for seminars, journal clubs and a yearly retreat. A common set of graduate courses in computational neuroscience and neural engineering allows students to interact across departments. Many student funding opportunities exist through multiple training grants, UWIN, Data Sciences and the CSNE. Doctoral programs encourage collaborative research projects across departmental boundaries, but admissions and first-year course work and formal requirements are handled by graduate programs individually. Students interested in this area should apply to the program that best fits their background, interests and career goals. Relevant programs, websites and application deadlines include: Neuroscience, http://depts.washington.edu/behneuro/ , Dec 1 Bioengineering, http://depts.washington.edu/bioe/, Dec 1 Computer Science and Engineering, www.cs.washington.edu/, Dec 15 Applied Mathematics, www.amath.washington.edu/, Jan 15 Speech and Hearing, http://depts.washington.edu/sphsc/, Feb 15 Biological Physics, Structure and Design, http://depts.washington.edu/bpsd/, Dec 1 Biology, www.biology.washington.edu/, Dec 1 Psychology, http://web.psych.washington.edu/, Dec 1 Faculty include: Wyeth Bair (Neuro, CSE): Computer modeling of visual cortical circuits Geoff Boynton (Neuro, Psychology): Functional imaging of vision Michael Buice (Applied Math (Affiliate), Allen Institute): Analysis of coding and computation in mouse cortex Beth Buffalo (Neuro): Navigation and memory in primates Bing Brunton (Biology and Data Sciences): High dimensional neural data Howard Chizeck (CSE): Performance metrics for neural interfaces Tom Daniel (Neuro, Biology): Sensorimotor integration and flight control Horacio de la Iglesia (Neuro, Biology): Circadian rhythms Emily Fox (Statistics, CS): Statistical modeling of connectivity and time series Marcel den Nijs (Physics): Statistical mechanics of brain function Adrienne Fairhall (Neuro, BPSD, Physics): Adaptive neural coding and sensorimotor integration Eb Fetz (Neuro): Motor control and brain-computer interfaces Ione Fine (Neuro, Psychology): Human visual psychophysics and imaging David Gire (Neuro, Psychology): Mammalian olfaction Bertil Hille (Neuro, BPSD): Biophysics of neuronal signal transduction Greg Horwitz (Neuro): Cortical color processing Nathan Kutz (A Math): Nonlinear dynamics and dimensionality reduction Adrian KC Lee (Neuro, Speech and Hearing): Auditory scene analysis with imaging Stefan Mihalas (Applied Math (Affiliate), Allen Institute): Analysis and modeling of cortical networks Chet Moritz (Neuro, Rehabilitation Medicine): Neural prosthetics Sheri Mizumori (Neuro, Psychology): Neurobiology of decisions, learning, and memory Bill Moody (Neuro, Biology): Cortical development Scott Murray (Neuro, Psychology): Visual neuroimaging Jay Neitz (Neuro): Color vision Jeff Ojemann (Neuro, Neurology): Human neural function and neuroprosthetics Anitha Pasupathy (Neuro): Neurobiology of visual shape processing David Perkel (Neuro): Neural mechanisms of vocal learning Steve Perlmutter (Neuro): Motor control Chantal Prat (Neuro, Speech and hearing): Auditory processing Nino Ramirez (Neuro): Neural control of rhythmic activity Rajesh Rao (Neuro, CSE): Computational modeling and brain-computer interfaces Fred Rieke (Neuro, Physics, BPSD): Sensory signal processing in the retina Jeff Riffell (Neuro, Biology): Neuroecology and chemosensation Ed Rubel (Neuro): Development of the auditory system Jay Rubinstein (Neuro, Bioengineering): Biophysics and engineering of cochlear implants Eric Shea-Brown (Neuro, A Math): Nonlinear dynamics in neural computation and coding Bill Spain (Neuro): Biophysics of neuronal computation Kat Steele (Mec Eng): Human movement Emo Todorov (Neuro, A Math, CSE): Optimal motor control

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Ph.D. or Post-doctoral position in Interactive Grounded Language Learning & Understanding
by Jean Rouat Oct. 20, 2015

Oct. 20, 2015

Ph.D. or Post-doctoral position in Interactive Grounded Language Learning & Understanding We have an open position in U. Sherbrooke, Québec, Canada, for a PhD (3 years) student or potentially a post-doctoral student (2 years and half) in an international CHIST-ERA european project IGLU (Interactive Grounded Language Understanding) that comprises 7 research labs from Sweden, France, Belgium, Spain and Canada. The IGLU project is very challenging and the objective is to design and implement an intelligent agent that acquires language understanding through learning and grounded interaction with the environment. The candidate will be involved in language knowledge representation and acquisition of new words in relation with the user intentionality. He/She will be in interaction with the other labs in Europe. We are seeking a candidate with background in computational neuroscience and machine learning with emphasis on speech/auditory processing & modelling, predictive coding, graphical statistical models and stochastic signal processing. The candidate needs proficiency in programming (C/C++, matlab, python). Candidates from physics, mathematics, computer science and engineering will be considered as long as they show strong interests in brain sciences and machine learning. The candidate will be a member of the Neurocomputational and Intelligent Signal Processing research group (NECOTIS) that conducts research in anthropomorphic signal processing in Sherbrooke and in electrophysiology in Montreal (collaboration with Univ. de Montreal). During his/her PhD studies in Sherbrooke/Montréal, the candidate should be ready to travel to Europe depending on the needs of the project. Interested candidates should send one pdf file that comprises a letter of motivation, a detailed CV and email addresses of at least two references to Prof. Jean Rouat, jean.rouat(a)usherbrooke.ca. Located in Canada, in the Province of Quebec, the Université de Sherbrooke is a French-speaking institution that offers an opportunity to benefit from an academic education that is recognized and valued around the world. The Université de Sherbrooke is situated in the southern part of Quebec, 150 km from Montréal, 220 km from Québec City and approximately 40 km from the USA's border. Applications will be considered until the position is filled. Tentative starting date is January 2016. Interviews can be conducted at SFN 2015, Chicago and NIPS 2015, Montréal, please drop me a message if you are at SFN. ----------------------------------------------- Jean Rouat, Prof. Université de Sherbrooke Université de Montréal Member of the centre for Interdisciplinary research Professeur titulaire, Professeur associé in Music Media and Technology NECOTIS: Computational Neurosciences Vision, neuroscience Lab McGill Schulich School of Music and Intelligent Signal Processing FAS- Sciences biologiques 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 90 avenue Vincent-d’Indy Montreal, Qc, 2500 boul. de l'université Montréal, Qc, Canada, H3A 1E3 Sherbrooke, Québec Canada, H3C 3J7 Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://bio.umontreal.ca/repertoire-departement/vue/rouat-jean/ http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca

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Faculty Position with Research Interest in Neuroscience, Bilkent University, Department of Electrical and Electronics Engineering
by Tolga Cukur Oct. 19, 2015

Oct. 19, 2015

The Department of Electrical and Electronics Engineering at Bilkent University seeks highly qualified applicants for full-time faculty positions in the general area of neuroscience at the ranks of Assistant, Associate, and Full Professor effective September 2015. Recently, Bilkent University declared Neuroscience as one of its research priority areas. Construction of the Bilkent Brain Research Center is ongoing and planned to be completed in early 2016. The center will house a 3 Tesla whole-body MRI scanner with advanced functional and morphological MRI capabilities; 1.5 Tesla whole-body and 7 Tesla small animal MRI systems are also planned. In addition, small-animal and zebra fish facilities will be formed as an extension of the existing animal facilities of the Department of Molecular Biology and Genetics. A psychophysics lab, wet-labs for neurobiology and neuroimmunology will be established. This facility will be home for the interdisciplinary Neuroscience M.S. and Ph.D. programs. The Department of Electrical and Electronics Engineering already has five faculty members affiliated with the Center and seeks to expand its presence in this area by recruiting new faculty who will complement and enhance the collaborative interdisciplinary research environment at the Center. The Center will provide extensive opportunities for collaboration with the Bilkent Departments of Psychology and Molecular Biology and Genetics, as well as The National Magnetic Resonance Research Center (UMRAM) and The Institute of Materials Science and Nanotechnology (UNAM). Candidates are sought with a PhD degree in in electrical and electronics engineering or closely related discipline and a proven track record of research in the field of neuroscience and related disciplines. Applicants for the associate and full professorship ranks are expected to have proven leadership qualifications as well. Areas of particular interest include, but are not limited to, brain-machine interfaces, neural prosthetics, neurorobotics, neuromorphic systems, computational neuroscience, and neuroinformatics. Bilkent University is an equal opportunity employer with an international body of faculty and students. Teaching is in English. Faculty salary is competitive. Benefits include a comprehensive health insurance package and on-campus housing. To apply, please visit the web page http://app.bilkent.edu.tr/ee/. The application folder must include a CV, Research Statement, Teaching Statement, and names of three references. Applications will be reviewed as they are received and the review will continue until the positions are filled.

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Fully-funded PhD position in Computational Neuroscience at the Vision Institute, Paris, France
by angelo.arleo＠inserm.fr Oct. 17, 2015

Oct. 17, 2015

PHD POSITION IN COMPUTATIONAL NEUROSCIENCE AT THE INSTITUTE OF VISION, PARIS, FRANCE Job description Applications are invited for one PhD position at the Aging in Vision and Action laboratory, Institute of Vision (University Pierre & Marie Curie Sorbonne Universities, INSERM CNRS, Paris, France). The PhD student will model visual-based spatial cognitive functions. She/he will build a spatial learning model based on spiking neural networks accounting for existing knowledge on the neural substrates of spatial memory and navigation in animals and humans. She/he will use this model to study the impact of healthy visual aging on neural coding and adaptation mechanisms mediating spatial orientation and navigation. The PhD student will work hand-in-hand with experimentalists in our laboratory. This project will be carried under the supervision of Angelo Arleo & Denis Sheynikhovich (Institute of Vision, Paris, France). Requirements Applicants should have a strong quantitative background (physics, engineering, computer science, applied mathematics), and a keen interest in reverse-engineering the brain. Knowledge on computational neuroscience, machine learning, image processing and programming languages (Matlab, C or Python) are a plus. The successful candidate is expected to work in an interdisciplinary environment with collaborations with biologists, theoreticians and clinicians. She/he will be awarded a 3-year PhD fellowship from the University Pierre and Marie Curie Sorbonne Universities. Working environment and laboratory The Institute of Vision is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology. The Institute of Vision includes multidisciplinary research groups, which share state-of-the-art platforms for human and animal experimentation. It also harbors a clinical investigation center, which fosters truly translational research activity. More information can be found online. The Aging in Vision and Action laboratory aims at evaluating and understanding the functional aspects of the degeneration mechanisms related to visual aging. This research has the potential to produce fundamental knowledge suited for opening to assistive technological developments and rehabilitation solutions. The faculty members of the Aging in Vision and Action laboratory are specialized in visual psychophysics, neurobiology of spatial orientation, neural coding, neurocomputational modeling, and clinical evaluation. The group has access to a wide range of state-of-the-art platforms including eye trackers, motion capture rooms, virtual reality environments, brain imaging, artificial street labs and home labs. How to apply Candidates should send a single pdf file containing a motivation letter, a full CV, and names and contact information of at least two referees, to angelo.arleo(a)inserm.fr. Short listed candidates will be contacted for an interview (either face-to-face or via videoconference). For further inquiries, please contact Angelo Arleo, angelo.arleo(a)inserm.fr, phone: +33 (0)1 53 46 26 52. Best regards, Angelo Arleo Institute of Vision, Aging in Vision and Action Lab, CNRS - INSERM - University Pierre&Marie Curie, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr; angelo.arleo(a)upmc.fr

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Postdoctoral opportunities in London and Stockholm
by Harris, Kenneth Oct. 16, 2015

Oct. 16, 2015

Dear Computational Neuroscientists, I would like to advertise three postdoctoral jobs at the interface of computational, systems, and molecular neuroscience. These positions form part of a new collaboration between UCL, University of Oxford, and the Karolinska Institute. The aim of this project is to understand the great diversity of cell types present in cortex, and their roles in cortical circuits and in the resulting computations. While the three positions require diverse skill sets, all offer the opportunity to work as part of a closely integrated, multidisciplinary team focused on solving one of the most important challenges in current neuroscience. Further details about the project can be found at https://www.ucl.ac.uk/cortexlab/neuromics. Position 1: Molecular analysis of cortical tissue The successful applicant will apply novel multiplexed RNA analysis techniques to cortical tissue, to characterize the molecular fingerprints of distinct cortical cell types. This position would suit a scientist with experience of molecular biology, as well as strong knowledge and interest in systems neuroscience. Prior experience of in situ RNA methods would be beneficial but is not essential for outstanding applicants. The successful applicant will be based initially in Stockholm to learn and refine the novel molecular techniques to be used, and will then move to London to apply them to tissue previously studied in vivo two-photon calcium imaging. Position 2: In vivo recording The successful applicant will use two-photon microscopy with genetically encoded calcium sensors to record from large neuronal populations in subjects performing behavioral tasks, which will then be subjected to post-hoc molecular analysis. In addition to experimental recordings, this position will involve computational work to analyze the large amount of data produced by these experiments. This position would suit a scientist with experience of experimental neurophysiology as well as strong quantitative/computational skills. Prior experience with two-photon microscopy would be beneficial but is not essential for outstanding applicants. The position will be based in London. Position 3: Computational analysis and modeling The successful applicant will develop new computational methods to process the large amounts of data arising from these experiments, and to use it to build computational models of cortical circuit interactions. The data arising from the project is diverse, consisting of images, video, and high-dimensional gene expression vectors. Analysis of this unique data set will require a combination of techniques including digital image processing, machine learning, as well as neural circuit modeling. The position would suit a candidate with a background in computational neuroscience, theoretical physics, computer science, mathematics, or engineering. Prior experience with digital image processing and machine learning techniques would be beneficial but is not essential for outstanding applicants. The position will be based in London. To apply for one of the positions, go to http://www.ucl.ac.uk/hr/jobs, click "Current employment opportunities at UCL", and enter Reference number 1501576 (molecular), 1503273 (recording), or 1503434 (computational). For an informal discussion, please send a CV to kenneth.harris(a)ucl.ac.uk<mailto:kenneth.harris@ucl.ac.uk>. The closing date for applications is November 8th, 2015. --------------------- Kenneth D. Harris Professor of Quantitative Neuroscience Institute of Neurology, Department of Neuroscience, Physiology, and Pharmacology University College London 21 University Street London WC1E 6DE Phone: +44 (0) 20 3108 2410

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Reminder: CFP: MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner
by Irina Rish Oct. 16, 2015

Oct. 16, 2015

Call for Papers MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mliniworkshop2015/ December 11-12, 2015, Montreal, Quebec, Canada Submission deadline: Monday, October 19th, 2015 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this two-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 19, 2015 - paper submission - October 30, 2015 - notification of acceptance/rejection - December 11-12, 2015 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Moritz Grosse-Wentrup (Max Plank Institute for Intelligent Systems) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (University of California, Berkeley)

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Aspects of Neuroscience 2015 - invitation for the conference
by Daniel Borek Oct. 15, 2015

Oct. 15, 2015

Dear Friends, On behalf of the Board of the Neurobiology Student Scientific Association operating at the Faculty of Biology of the University of Warsaw we would like to invite you to *the 5th **International Conference " Aspects of Neuroscience" *that will be held in Warsaw, Poland, from *November 27th to 29th 2015*. As in the following years, this time the Conference also consists of poster and report symposia. November symposia will be devoted to: *Neurobiology, Cognitive Neuroscience, **Clinical Neuroscience* and* Neuroinformatics*. Each of the thematic symposium will be preceded by a lecture delivered by one of the guests, a specialist of a given domain. This year we will have privilege to host such outstanding neuroscientists as *Prof. Gaute Einevoll, Prof. Fernando H. Lopes da Silva, Dr. Tor Stensola, Prof. Wojciech Maksymowicz, Dr. Esha Massand* and *Prof. Peter de Weerd.* The conference is intended for students, doctoral students and research workers related to neuroscience. The student lectures will take place simultaneously in two rooms, in *basic *and *extended* version. The basic session provides an opportunity to present theoretical and review talks for the students who do not conduct their own research yet. We would like the conference to gather academics with different background and level of expertise, who share the common passion for neuroscience. Language of conference is English. *Active registration for the conference is open till November 1st .* More information about conference and the whole Project: www.neuronauka.org/eng Find us on facebook: https://www.facebook.com/AspectsOfNeuroscience?fref=ts Yours sincerely, Daniel Borek Neurobiology Student Scientific Association at the University of Warsaw Organizing Committee of the International Conference of Students and Young Scientists "The Aspects of Neuroscience"

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fully funded PhD position on modelling distraction & mind-wandering at University of Groningen
by Marieke van Vugt RUG Oct. 15, 2015

Oct. 15, 2015

Dear colleagues, Prof. Niels Taatgen and myself have a joint PhD position available in the Cognitive Modelling group at the University of Groningen, in a project working on models of distraction and mind-wandering. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… <http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=…> Job description The main aim of the project is to investigate when, how, and why we become distracted, and how cognitive training may reduce our tendency to become distracted. In particular, this project will look at different types of distraction (such as rumination) and different circumstances that induce distraction (e.g. cat videos). The PhD student will create models of these different types of distraction, and make predictions of how those affect performance on cognitive tasks. These predictions will be tested in behavioural experiments. The final component of the PhD involves using a novel cognitive modeling framework developed in our group to predict what training methods should reduce distraction, and to test those predictions in cognitive training studies. Qualifications A successful candidate has a master's degree in Cognitive Neuroscience, Cognitive Science, Experimental Psychology, Artificial Intelligence or a related field, experience in cognitive modeling, and has programming skills in MATLAB, C, or Python. Conditions of employment The University of Groningen offers a salary of € 2,125 gross per month in the first year up to a maximum of € 2,717 (salary scale PhD students Dutch University) gross per month in the final year. The appointment is for a period of four years, which should be finished with a PhD examination. The fulltime appointment is temporary for 1 year with the perspective of prolongation for another 3 years. After nine months, an evaluation will take place of the feasibility of successful completion of the PhD thesis within the next three years. A training programme within the Graduate School of Science is part of the agreement. You and your supervisor will make up a plan for additional education and supervising that is specific to your needs. Starting date: as soon as possible. How to apply Send a cover letter (with professional goals and a statement of interest), a curriculum vitae and two letters of recommendation (PDF format) to the job application portal until 29 October / before 30 October 2015 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website). Although applications received after the deadline may be considered. Unsolicited marketing is not appreciated. Information For information you can contact: • Dr Marieke van Vugt, m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> http://www.ai.rug.nl/~mkvanvugt/ <http://www.ai.rug.nl/~mkvanvugt/> Dr. Niels Taatgen n.a.taatgen(a)rug.nl <mailto:n.a.taatgen@rug.nl> http://www.ai.rug.nl/~niels/ <http://www.ai.rug.nl/~niels/> -------------------------------------------------------------------- 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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BSCS Systems Neuroscience study abroad program at SfN
by Érdi Péter Oct. 15, 2015

Oct. 15, 2015

BSCS Systems Neuroscience: a study abroad summer program in Budapest for undergraduates in systems neuroscience, computational neuroscience, neurodynamics (http://sysneuro-semester.org/) will exhibit at the SfN Meeting 2015 (Booth #2167). Come and visit us! Kind regards, Péter Érdi General Director

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Fellowships in Theoretical and Computational Neuroscience at the University of Pennsylvania
by Vijay Balasubramanian Oct. 14, 2015

Oct. 14, 2015

*Postdoctoral Fellowships with the Computational Neuroscience Initiative **at the University of Pennsylvania* The Computational Neuroscience Initiative (CNI) of the University of Pennsylvania seeks exceptional candidates for a CNI Postdoctoral Fellowship. Candidates with strong quantitative skills from a variety of fields including neuroscience, cognitive science, psychology, physics, mathematics, and engineering will be considered. The selected Fellow will join an inter-disciplinary research environment in historic Philadelphia. CNI Fellows will be encouraged to foster collaborative research between multiple labs. The CNI supports interdisciplinary and collaborative research at the frontier of knowledge about the brain, behavior, and the mind. We focus on systems-level approaches that integrate theory and computation with experiment. Our members include faculty, post-docs, and students from multiple programs and departments at Penn. Our research and training spans the three major elements of the field of Computational Neuroscience: 1) Theory – understanding the brain as an information-processing machine; 2) Experiments – providing quantitative methods to aid in the design, implementation, analysis, and interpretation of empirical studies that probe all levels of brain function, from molecules to behavior; and 3) Applications – including robotics, brain-machine interfaces, and new clinical tools. For more information about the CNI, please visit our website at https://cni.upenn.edu. Applications may be submitted by email to compneuro(a)sas.upenn.edu, and should consist of a CV and a cover letter stating the candidate's research experience and reasons for applying to this Fellowship. Please arrange for up to three letters of recommendation to be sent to the same email address with the candidate's name in the subject line. Review of applications will begin on November 15 and continue on a rolling basis until the positions are filled. The University of Pennsylvania values diversity and seeks talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu) Vijay Balasubramanian, Director David Brainard, Co-Director Joshua Gold, Co-Director

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faculty position in applied mathematics at IUPUI
by Leonid Rubchinsky Oct. 14, 2015

Oct. 14, 2015

Our department has an opening in applied mathematics and computational neuroscientists/mathematical biologist are encouraged to apply: The Department of Mathematical Sciences at IUPUI invites applications for an Assistant or Associate Professor in applied mathematics to begin August 1, 2016. Responsibilities include teaching six courses over the first two years, with at least one course each term, and then four courses a year regularly, maintaining a strong research program, publishing the results of the research, and customary student advising and departmental and university service. The Department has a strong research faculty, many funded research projects and close collaboration with other departments within the School of Science and the Indiana University School of Medicine. Qualifications: Applicants must have an earned doctorate in the mathematical sciences or related areas, a strong research program and be able to teach effectively at the undergraduate and graduate levels. A successful candidate at the Assistant Professor level will be expected to develop and maintain an active, externally-funded research program. Applicants at the Associate Professor level must have a record of significant research accomplishments and external funding. Tenure may be offered to a successful senior candidate, depending on the candidate's qualifications and achievements. The successful candidate will be expected to maintain an active, externally-funded research program. How to Apply: A complete application must include: a letter of interest, curriculum vitae, statements on research plans and teaching philosophy, and a) for an Assistant Professor applicant three letters of recommendation, b) for an Associate Professor applicant, please provide the names of six references. Applications should be submitted electronically via the American Mathematical Society's MathJobs website (https://www.mathjobs.org/jobs/jobs/7582) the position ID is 7582. Screening of completed applications will begin on November 1, 2015, and will continue until all approved positions are filled. *********************** Leonid Rubchinsky, PhD Associate Professor Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202 leo(a)math.iupui.edu <mailto:leo@math.iupui.edu> http://www.math.iupui.edu/~leo 317-274-9745 317-274-3460 (fax) ***********************

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 14, 2015

Oct. 14, 2015

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] • André A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. • Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. • Roozbeh Kiani - Vision and decision-making. • Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making. • Tony Movshon - Vision and visual development. • Bijan Pesaran - Neuronal dynamics and decision making. • Alex Reyes - Functional interactions of neurons in a network. • John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. • Robert Shapley - Visual physiology and perception. • Eero Simoncelli - Computational vision and audition. • Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] • Gyorgy Buzsaki - Rhythms in neural networks. • Dmitry Rinberg - Sensory information processing in the behaving animal. • Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] • Todd Gureckis - Memory, learning, and decision processes. • David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. • Michael Landy - Computational approaches to vision. • Laurence Maloney - Mathematical approaches to psychology and neuroscience. • Gary Marcus - Origins of the human mind. • Denis Pelli - Visual object recognition. • Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 18 December ) [http://math.nyu.edu/degree/phd/] • David Cai - Nonlinear stochastic behavior in physical and biological systems. • David McLaughlin - Nonlinear wave equations, computational visual neuroscience. • Aaditya Rangan - computational neurobiology, numerical analysis. • Charles Peskin - Mathematical biology. • Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. • Daniel Tranchina - Information processing in the retina. • Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/web/Research/Areas/graphicsvisionui.html] • Davi Geiger - Computational vision and learning. • Yann LeCun - machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://econ.as.nyu.edu/page/phd] • Andrew Caplin - Economic theory, neurobiology of decision. • Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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1st CfP: CMN'16, Seventh International Workshop on Computational Models of Narrative (7 March 2016 / 11-13 July 2016)
by Ben Miller Oct. 14, 2015

Oct. 14, 2015

* ---FIRST CALL FOR PAPERS--- Seventh International Workshop on Computational Models of Narrative (CMN'16) Advancing the Science of Narrative Special Focus: Computational Narrative and the Humanities a satellite workshop of: Digital Humanities 2016 (DH2016) 11-13 July 2016 Kraków, Poland http://narrative.csail.mit.edu/cmn16/ ---IMPORTANT DATES--- 7 March 2016. Submission deadline. 11 April 2016. Notification of acceptance. 16 May 2016. Final Camera Ready Versions Due. 11-13 July 2016. CMN’16. 11-16 July 2016. DH2016. ---WORKSHOP AIMS--- The workshop series, Computational Models of Narrative (CMN) is dedicated to advancing the computationally-grounded scientific study of narrative. Now in its seventh iteration, the workshop has a tradition of crossing academic borders and bringing together researchers from different disciplines on a common object of study. Narrative provides a model for organizing and communicating experience, knowledge, and culture. Investigations of narrative operations in textual, aural, and visual media have been systematically pursued in the humanities since before the early structural linguistics and folklorist inspired work of the Russian Formalists, and in the computing sciences since before the early cognitive science inspired work on scripts and frames. Research continues on computational approaches across the humanities and sciences. In order to appreciate the various domains and approaches connected to the computationally enabled study of narratives and narrative theory, it is becoming increasingly clear that research in this area requires engagement from many communities of interest. Peer-reviewed full proceedings from CMN’13, ‘14, and ‘15 are each available in the OpenAccess Series in Informatics (OASIcs) published by Schloss Dagstuhl; peer-reviewed proceedings from CMN’11 and CMN’12 were published by AAAI and LREC, respectively. ---SPECIAL FOCUS: COMPUTATIONAL NARRATIVE AND THE HUMANITIES--- This inter-disciplinary workshop will be an appropriate venue for papers addressing fundamental topics and questions regarding narrative. Papers should be relevant to the computational modeling, and scientific or humanistic understanding of narrative. The workshop will have a special focus on how the computational modeling, analysis, or generation of narrative has affected approaches in the humanities for studying and generating narrative in or across textual, aural, or visual media. Possible themes could connect to the representation of narrative, connections between cognition and narrative or knowledge representation and narrative, the use of heuristics to handle complexity, incorporation of insights about human thinking, the use of narrative to organize information in the humanities, the relationship between top-down and bottom-up approaches for narrative understanding, or how narrative is seen to function differently depending upon the medium. Regardless of its topic, reported work should provide insight of use to the scientific understanding or computational modeling of narratives. Discussing technological applications or motivations is not prohibited, but is not required. We accept both finished research and more tentative exploratory work. We invite and encourage submissions either as full papers or position papers, through the workshop's EasyChair website:https://easychair.org/conferences/?conf=cmn16 We also invite you to submit an abstract soon so that we can gauge the number of submissions we can expect. (Submitting an abstract is possible without submitting the full paper at the same time.) Full papers should contain original research and have to fit within 16 pages; position papers can report on work-in-progress, research plans or projects and have to fit within four pages plus one page of references. Illustrative Topics and Questions - How can computational narratives be studied from a humanities point of view? - Are generative models of narrative texts, movies or video games possible, desirable, and useful? - What comprises the set of possible narrative arcs? Is there such a set? How many possible story lines are there? - Is narrative structure universal, or are there systematic differences in narratives from different cultures? - How are narratives affected by the media used to convey them? - What aspects of cross-linguistic work has narrative research neglected? - What opportunities are there for narrative analysis across languages? - What makes narrative different from a list of events or facts? - How do conceptions and models of spatiality or temporality influence narrative and narrative theory? - What are the details of the relationship between narrative and language, image, or sound? - How is narrative knowledge captured and represented? - How are narratives indexed and retrieved? Is there a universal scheme for encoding episodic information? - What shared resources are required for the computational study of narrative? What should a “Story Bank” contain? - What shared resources and tools are available, or how can already-extant resources be adapted to the study of narrative? - What are appropriate formal or computational representations for narrative? - How should we evaluate computational and formal models of narrative? - Can narrative be subsumed by current models of higher-level cognition, or does it require new approaches? - How do narratives mediate our cognitive experiences, or affect our cognitive abilities? - How can narrative systems be applied to problem-solving? - How far are we from a theory of narrative adaptation across media? ---ORGANIZING COMMITTEE--- - Antonio Lieto (University of Turin, Italy) - Ben Miller (Georgia State University, USA) - Rémi Ronfard (Inria, LJK, University of Grenoble, France) - Stephen Ware (University of New Orleans, USA) - Mark A. Finlayson (Florida International University, USA) ---PROGRAM COMMITTEE--- David Elson, Columbia University & Google Floris Bex, Utrecht University Rossana Damiano, University of Turin Kerstin Dautenhahn, University of Hertfordshire Pablo Gervás, Complutense University of Madrid Andrew Gordon, ICT Livia Polanyi, LDM Associates Marie-Laure Ryan, University of Colorado Boulder Tim Tangherlini, UCLA Mariet Theune, University of Twente Atif Waraich, Manchester Metropolitan University Mehul Bhatt, University of Bremen Emmett Tomai, University of Texas-Pan American Neil Cohn, UCSD Inderjeet Mani, Yahoo Labs Loizos Michael, Open University of Cyprus Chris Meister, Hamburg University Fritz Breithaupt, Indiana University Benedikt Löwe, Universität Hamburg *

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Funded PhD Positions Available
by Steven Bressler Oct. 14, 2015

Oct. 14, 2015

PHD POSITIONS IN COMPLEX SYSTEMS & BRAIN SCIENCES CENTER FOR COMPLEX SYSTEMS & BRAIN SCIENCES FLORIDA ATLANTIC UNIVERSITY Applications are currently being accepted for funded PhD training in Complex Systems & Brain Sciences. The aim of this 5-year graduate program is to train scientists to perform cutting-edge brain research that combines computational modeling, laboratory biology, and medical imaging. Students learn how this combination can yield powerful insights into the operation of the human brain as a complex dynamical system. Individuals with undergraduate degrees in any pertinent discipline are invited to apply. The program offers multi-year stipends and tuition remission. Our students learn to fully participate in multi-disciplinary approaches to brain research. Past graduates have pursued careers at academic institutions such as Harvard, Brown, Emory, NYU, the Salk Institute, and the Neurosciences Institute, at private industry companies such as IBM and Mathworks, and at research institutions such as NIH, US Air Force, NASA, and NRL. Research opportunities are available using behavioral, computational, and neuroscientific methods. Research projects will focus on approaches to understanding the brain as a complex system, with possible concentrations in areas such as computational neuroscience, cognitive neuroscience, systems neuroscience, neurorobotics, molecular neurobiology, cellular physiology, and neuronal regeneration. A new 3T scanner and multi-channel EEG recording systems will be available for neuroimaging research. Opportunities also exist for research collaborations with the new Marcus Neuroscience Institute at Boca Raton Regional Hospital (BRRH). Desirable qualifications include: * training in neuroscience * training in cognitive science * training in complexity, network science, or graph theory * quantitative training in physics, mathematics, computer science, or related fields * programming experience (Matlab, C/C++, python, R) * English speaking and writing skills FACULTY Elan Barenholtz: Psychophysical and computational approaches to visual and multisensory perception and recognition. Janet Blanks: Gene therapy, retinal degeneration, neuroprotection in the retina, mammalian retinal development and differentiation. Steven Bressler: Cognitive neurodynamics: cognitive dynamics in large-scale cortical networks. Armin Fuchs: Analysis of large scale brain activity patterns and combining noninvasive recording technologies, i.e. EEG, MEG and functional MRI. Howard Hock: Mechanisms for detection of motion information serving different perceptual functions; role of global-to-local feedback in formation of global motion patterns; computational models for motion detection and perception of bistable motion; motion mechanisms spared by cortical brain damage; motion percepts diagnostic for perceptual grouping of object surfaces. Sang Hong: Color vision, motion processing, visual awareness, facial expression perception, and multi-sensory integration using psychophysical, eye-tracking, and fMRI methodologies. Scott Kelso: Mechanisms of self-organization underlying the coordination of brain and behavior. Howard Prentice: Ischemic adaptations, neurodegenerative disease, brain anoxia, mitochondrial dysfunction and aging processes. Wen Shen: Electrophysiology of channels and receptors, transporters in neurodevelopment and adult system, signal transduction in retinal circuits. Summer Sheremata: Visual short-term memory and attention. Robert Stackman: Neurobiology of learning and memory, spatial navigation, brain representations of space, mouse models of Alzheimer's disease. Emmanuelle Tognoli: EEG coordination dynamics of human behavior: large-scale integration within and between brains. Robert Vertes: Neurophysiology/neuroanatomy. Functional organization of the brainstem and its role in controlling activity of the forebrain. Jang Wu: Neurotransmitters and neurological disorders. Qualified students are encouraged to apply to the program by following the instructions at the Center for Complex Systems & Brain Sciences web site ( http://www.ccs.fau.edu/) Applications should be submitted by February 15, 2016. The Center for Complex Systems & Brain Sciences at Florida Atlantic University is located in Boca Raton, situated between West Palm Beach and Fort Lauderdale, with easy access to the rich cultural life of the Miami-Dade metropolitan area. Steven L Bressler, PhD Interim Director and Professor Center for Complex Systems & Brain Sciences Florida Atlantic University

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INCF at SfN: community tool demos in our both #2114
by Malin Sandström Oct. 14, 2015

Oct. 14, 2015

Dear all, This year in Chicago, you are very welcome to come and visit INCF in *booth #2114*, located in the funders row. Are you working on an interesting project, or looking for new collaborators? Come by and talk to us, and bring a colleague! Our booth has a comfortable sofa perfect for short spontaneous meetings. As usual, we host *demos of community tools* in our booth, Sunday through Tuesday. Interested in model discovery with *SenseLab* and *NeuroElectro*, or in the latest developments of *OpenWorm*? Do you want to get started on collaborative model development with *Open Source Brain?* Meet them and many others in our booth on Oct 18-20 (full schedule below). On *Sunday October 18*, you can meet us at: * the SfN-sponsored *neuroinformatics social* (room N229, 18:45-20:45), with presentations by Tom Insel and Sean Hill, chaired by David Kennedy from NITRC and with representation from NIF and INCF. * or get an introduction to the *Neurodata Without Borders *data format at the Fairmont Chicago (Ambassador room, 18:30-->). And on *Tuesday October 20*, we will of course be at the SfN-sponsored computational neuroscience social (Room N139, 18:45-20:45). More details on our SfN webpage https://incf.org/community/sfn2015 or in our special edition SfN Newsletter http://eepurl.com/bClxYf See you in Chicago! Best regards, Malin Sandström on behalf of the INCF Secretariat TOOL DEMOS OCTOBER 18-20 IN BOOTH 2114 ------------------------------------------------------------------- *Sunday* 9:30-11:15 Sharing neuroimaging results with NIDM 11:15-13:00 NIX: Versatile file format for consistent data organization and sharing 13:30-15:15 J-Node live demos 15:15-17:00 NeuroVault.org: A web-based repository for collecting and sharing unthresholded statistical maps of the human brain *Monday* 9:30-11:15 The CARMEN Portal. What it is, what has been learned 11:15-13:00 CENTER-TBI data capture and analysis platform 13:30-15:15 Microcircuit cell types, connectomics, and model discovery usingSenseLab andNeuroElectro 15:15-17:00 OpenWorm: An open science approach to computational neuroscience *Tuesday* 9:30-11:15 TimeLapseReg: An ImageJ plugin for drift correction of video sequences in time lapse microscopy 11:15-13:00 Collaborative model development on Open Source Brain 13:30-15:15 Research Resource ID's and annotating the web 15:15-17:00 KnowledgeSpace demo -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Visit the Bernstein Network at booth #2033 at SfN 2015 for your next career step in Computational Neuroscience
by Mareike Kardinal Oct. 14, 2015

Oct. 14, 2015

Dear all, what´s your next career step? *The Bernstein Network Computational Neuroscience will exhibit at the SfN Meeting 2015*. Please find us at the "Neuroscience in Germany" booth #2033. * *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 #2033!* Best regards, Mareike Kardinal -- Dr. Mareike Kardinal Bernstein Network Computational Neuroscience Press & Public Relations Officer, Bernstein Coordination Site (BCOS) Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg, Germany phone: +49-761-203-9593 mareike.kardinal(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany

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[SfN] Computational Neuroscience Social at SfN on Tuesday, October 20
by viola Oct. 13, 2015

Oct. 13, 2015

Dear Colleagues, We write to call your attention to the upcoming computational neuroscience social at the SfN in Chicago next week. ** Join us for an evening with elegant models, great spirits, networking theories, and billions of action potentials! Reunite with old friends, make new ones, mingle with top researchers and special guests, and learn about upcoming CompNeuro events. Everyone is welcome! Special Guests John Beggs, Surya Ganguli, Maria Geffen, Julijana Gjorgjieva, Mark Goldman, Gabrielle Gutierrez, Andreea Lazar, Wolfgang Maass, Eve Marder, Cian O’Donnell, Armen Stepanyants, Jonathan Victor and Fred Wolf We are pleased to announce a special honoring of Yuan Liu and Dennis Glanzman, who have been supportive of the computational neuroscience community and meetings for many years. ** Please feel welcome to advertise your summer schools, conferences, tool boxes, journals, associations, or jobs in the field of computational neuroscience in the form of flyers or posters (sugg. max A3, for jobs max A4, poster boards provided), and/or have a representative available for informal discussion. Location: McCormick Place, Room N139 Time: Tuesday, October 20, 6:45-8:45 PM ** Hope to see you in Chicago! Timothy O’Leary Viola Priesemann --- Dr. Timothy O’Leary Volen Center for Complex Systems Brandeis University http://blogs.brandeis.edu/marderlab/members/dr-timothy-oleary/ Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization Göttingen, Germany http://www.nld.ds.mpg.de/people/priesemann

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[jobs] 3 PhD positions in neural language robotics
by Stefan Wermter Oct. 13, 2015

Oct. 13, 2015

The Knowledge Technology Research Group at the University of Hamburg invites applications for three Early Stage Researchers (ESR) within the Marie Sklodowska-Curie European Training Network "SECURE" - Safety Enables Cooperation in Uncertain Robotic Environments. Research area: The general area is knowledge technology, intelligent systems and artificial intelligence, in particular neural networks and natural language processing for safe cognitive robots. There are three research positions (3 PhD studentships called Early Stage Researcher positions - ESR) which will be filled in the context of cognitive robots (Darwin-OP/Nao/Nicu/iCub or related). The ESR focus on the following topics: ESR A: A neuro-probabilistic robot interaction model for learning and inferring safe actions ESR B: A self-organising neural model for prosodic recognition and threat sound localisation ESR C: A deep neural learning model to identify dangerous situations through spoken language The positions commence on 1.1.2016 or as soon as the position can be filled. The term is fixed to three years. They are remunerated at the salary level in accordance with the regulations for the Early Stage Researcher (ESR) in EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN) (http://ec.europa.eu/research/participants/portal/doc/call/h2020/common/1617…) and are fulltime positions (39h/week). Tasks: Duties include academic services in the project named above. Research associates can also pursue research and further academic qualifications. Requirements: A university degree in a relevant subject. In particular, at least an MSc or equivalent in Artificial Intelligence, Computer Science or Engineering with a focus on Intelligent Computing is required. Excellent programming skills (Python, C++ etc.) are needed and a background in at least one of neural networks/natural language processing/robotics would be needed for these positions. The posts involve traveling within Europe. Each PhD student will be expected to spend secondments at other European partner sites. According to EU mobility rules, the ESR researchers must not have resided or carried out their main activity (work, studies, etc.) in Germany for longer than 12 months in the 3 years immediately prior to their recruitment. Early-Stage Researchers are defined as those who are, at the time of selection, in the first four years (full-time equivalent) of their research careers. The University aims to increase the number of women in research and teaching and explicitly encourages women to apply. Equally qualified female applicants will receive preference in accordance with Hamburgs Higher Education Act (HmbHG). Severely disabled applicants will receive preference over equally qualified non-disabled applicants. Additional Info on the European Training Network SECURE: SECURE is a new Marie Sklodowska-Curie European Training Network (ETN) with the primary aim to train a new generation of researchers on safe cognitive robot concepts for human work and living spaces on the most advanced humanoid robot platforms available in Europe. The Early-Stage Research (ESR) fellows will be trained for a PhD through an innovative concept of project-based learning and constructivist learning in supervised peer networks where they will gain experience from an intersectoral programme involving universities, research institutes, large and SME companies from public and private sectors. The training domain will integrate multidisciplinary concepts from the fields of cognitive human-robot interaction, computer science and intelligent robotics where a new approach of integrating principles of embodiment, situation and interaction will be pursued to address future challenges for safe human-robot environments. In case of questions, please contact Prof. Dr. Stefan Wermter, Head of Knowledge Technology or consult our website at https://www.informatik.uni-hamburg.de/wtm/. Applications should include an application letter, full curriculum vitae, best publication if applicable, copies of degree certificate(s) and transcripts. The application deadline is 1.11.2015. Please email applications in a single pdf file to: Ms Katja Koesters, katja.koesters(a)informatik.uni-hamburg.de *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science, WTM, Building F University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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Four faculty positions in applied statistics and stochastics
by Robert Rosenbaum Oct. 13, 2015

Oct. 13, 2015

The Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame is seeking applications for four faculty positions, three in applied statistics and one in applied stochastics. Ideally, two of the statistics positions will be at the post-tenure level (associate or full professor) and the remainder will be tenure track (assistant professor). The department is highly supportive of collaborative research and encourages applications from computational neuroscientists. Feel free to contact me (Robert.Rosenbaum(a)nd.edu) with general questions about the department, etc. Applicants for the post-tenure job are invited to contact the chair, Andrew Sommese (sommese(a)nd.edu) The department will begin reviewing applications on Nov 1, so please apply soon if interested. For more information and to apply, see here for statistics: http://apply.interfolio.com/30595 and here for stochastics: http://apply.interfolio.com/30609 — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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Postdoc position in Computational Brain Modelling at Ulster University UK
by McDaid, Liam Oct. 13, 2015

Oct. 13, 2015

Applications are invited for the post of Research Associate (RA) in Computational Brain Modelling (Ref: 1503308) based at the Intelligent Systems Research Center, Ulster University, UK. The RA post is for a 3½ year duration and is part of a collaborative project funded by the EPSRC: our partners are the Department of Electronics, University of York. The RA post holder will be part of a team that aims to develop a brain-inspired self-repairing algorithm and subsequently map this self-repairing algorithm to robotic hardware at the University of York. At Ulster we have previously shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons and how this interaction can oversee a repair strategy in the paper "On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks" (http://tinyurl.com/qbsusnn) The RA post will focus on the development of a computational model that captures the interactions between neurons and astrocytes, and hence the repair process, and will interact with other team members to translate the self-repair strategy to hardware computing systems and robot controllers based at the University of York. The RA post is fixed-term based at Ulster University and is active from November 2015 until March 2019. The closing date for applications is the 11th November 2015. Further information in relation to the post can be found on the following link: http://tinyurl.com/ocm8pvf or you can contact Prof. Liam McDaid at lj.mcdaid(a)ulster.ac.uk<mailto:lj.mcdaid@ulster.ac.uk> We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> Hard copy applications can be obtained by telephoning +4428 7012 4072 ________________________________ 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 in cognitive auditory neuroscience at Imperial College London
by Tobias Reichenbach Oct. 12, 2015

Oct. 12, 2015

Applications are invited for a Research Associate (Postdoc) to work on an exciting project in auditory cognitive neuroscience at Imperial College London. The successful candidate will join the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach) The project involves collaboration with clinical collaborators at Imperial College, and is further embedded in the Centre for Neurotechnology at Imperial College (http://www3.imperial.ac.uk/neurotechnology) The project's goal is to develop experimental paradigms and associated data analytics to extract electrophysiological correlates from the brainstem and the cortex in response to speech. Electrophysiological responses will be obtained from auditory-brainstem recordings (ABR) and from electroencephalography (EEG). The developed methods will then be employed to compare differences in neural responses to speech in healthy people and in people with different cognitive impairments. Applicants should have a PhD in physical sciences, engineering, neuroscience or computing with experience in signal processing as well as neuroimaging. For an informal discussion please contact Dr Tobias Reichenbach (email: reichenbach(a)imperial.ac.uk <mailto:a.kedgley@imperial.ac.uk>; telephone: +44 (0)20 759 46370). Our preferred method of application is online via the Imperial College website at www.imperial.ac.uk/employment where you will find a job description and person specification for this post. Please select "Job Search", then enter the job title or vacancy reference number EN20150333FH into "Keywords". Complete and upload an application form as directed. Should you have any queries please contact Allan Nyunt at a.nyunt(a)imperial.ac.uk <mailto:a.nyunt@imperial.ac.uk> ------------------------------------------- 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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v6.2 of NeuroMorpho.Org released 6 October, 2015
by NeuroMorpho Administrator Oct. 11, 2015

Oct. 11, 2015

Dear colleagues, We're pleased to announce the October 6, 2015 release of Version 6.2 of NeuroMorpho.Org<http://neuromorpho.org/>, including 2160 additional reconstructions from 21 new archives and intriguing species such as Bottlenose dolphin, Chimpanzee, Clouded leopard, Giraffe, Humpback whale, Locust, Manatee, Minke whale, Pouched lamprey, and Siberian tiger. As many as 58 papers were published using data downloaded from NeuroMorpho.Org in the first six month of 2015 alone. NeuroMorpho.Org Neuron Morphology Read more...<http://neuromorpho.org/> The repository now contains 34,082 neurons from 165 labs<http://neuromorpho.org/neuroMorpho/about.jsp>. Please visit the What's new page<http://neuromorpho.org/neuroMorpho/WIN.jsp> for details on the added data and other updates. The literature coverage database was also updated to include publications through September 2015. We are continuously grateful to all the data contributors<http://neuromorpho.org/neuroMorpho/acknowl.jsp#DC> who freely share their hard-won tracings with the community. We appreciate any and all feedback and comments. Our apologies if you receive multiple versions of this message through x-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/neuroMorpho/acknowl.jsp#NMO>

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6th Annual GDR Multielectrode meeting: Registration and submissions are open!
by Blaise Yvert Oct. 10, 2015

Oct. 10, 2015

Dear Colleagues, It is our pleasure to announce that registration and abstract submissions are now open for the 6th annual meeting of the GDR Multielectrode that will be held in Grenoble (minischool) and Autrans (conference) on January 5-8, 2016. You will find the preliminary program and all useful informations and instructions to register at the following address : http://gdr2904grenoble.sciencesconf.org/ Please don't hesitate to spread the word around you to make this event as rich as possible. Several companies will present their products, and we particularly thank Blackrock Microsystems, Atlas Neuroengineering, and g.Tec for their strong support. Important notes: 1) The language of the meeting is English 2) Deadline for registration and abstract submission is November 15, 2015 3) There are mostly double rooms and only extremely few single rooms available onsite for participant housing, so please choose a single room only if really necessary - thank you so much for your understanding! 4) We plan to organize several practical hands-on sessions in parallel for the second half of the minischool, please let us know which one you would be interested in. 5) This year, a special demo session will be held on Friday 8 afternoon, so you can submit an abstract for this session if you would like to demo a software or a hardware 6) Bus transportation will be available to go from Grenoble to Autrans and back. We plan to propose 2 buses to go back to Grenoble on Friday afternoon at two different times, please specify which one you would prefer. 7) Finally, we have planed a time for an outdoor activityon Thursday 6th afternoon (snow equipment provided). If we have snow, a biathlon initiative will be organized. Please let us know if you would be interested to participate, given that it will be free and will not require any special skiing skills, so everyone can participate! Looking forward welcoming you in the Alps, Best regards, Blaise on behalf of the whole organizing committee. -- Blaise Yvert. Inserm Research Director Clinatec Laboratory UA01 Biomedical Research Center Edmond J Safra CEA-INSERM-UJF-CHU Grenoble Minatec Campus 17 rue des Martyrs 38054 Grenoble cedex 09 Tel. +33 4 38 78 91 38 / +33 6 32 88 75 90 Fax. +33 4 38 78 53 55 http://www.clinatec.fr (under construction)

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Physics of Neural Systems at the 2016 March Meeting of American Physical Society, Baltimore, MD, March 14-18
by Nemenman, Ilya Oct. 10, 2015

Oct. 10, 2015

Dear Colleagues: The 2016 American Physical Society (APS) March meeting (March 14-18, 2016; Baltimore, MD) will again emphasize “Physics of Neural Systems” in its program. We expect multiple sessions resulting from this focus topic, addressing recent advances in understanding of the structure and the dynamics of neural circuits responsible for sensing, memory, and motor output. Invited and Focus sessions of relevance to neuroscientists will include, among others, 1. Large Scale Neuroscience Projects 2. Theoretical physics and networks of real neurons 3. Inference in Biophysics 4. Principles of Cell-to-Cell communication 5. Brain Morphology and Mechanics: From Cortex Folding to Neuronal Growth to Compression Stiffening 6. Robophysics: physics meets robotics 7. Physics of sensorimotor neural circuits 8. Neural control of behavior 9. Maximum entropy models: a promising link between statistical physics, inference, and biology 10. Critical transitions in biological systems Some of the invited speakers include: Vijay Balasubramanian (U Pennsylvania) William Bialek (Princeton U) Gwyneth Card (Janelia Farm) David van Essen (Washington U, St. Loius) Adrienne Fairhall (U Washington) Surya Ganguli (Stanford U) Mark Goldman (UC Davis) Alexei Koulakov (CSHL) Thierry Mora (ENS) Stephanie Palmer (U Chicago) Hanchuan Peng (Allen Institute) Terry Sejnowski (Salk Institute) Naftali Tishby (Hebrew U) Gasper Tkacik (IST Austria) and others. We are now accepting abstract submissions for contributed talks on a broad range of topics on the intersection of physics and neuroscience, such as quantitative experimental protocols, modeling of neural dynamics, analysis of collective computation in neural circuits, and others. March meeting abstract submission website: http://www.aps.org/meetings/march/scientific/index.cfm Abstract submission deadline: November 6, 2015, 5:00pm EST APS March meeting is the largest physics meeting in the world, attracting about 10,000 physicists. At the meeting, the APS Division of Biological Physics supports one of the largest and scientifically diverse programs on the interface of physics and biology, from molecular and cellular biophysics, to computational neuroscience and population dynamics, featuring typically more than 600 talks every year. We are looking forward to receiving your abstracts. If you have any questions about neuroscience at the March Meeting, please don’t hesitate to contact Ilya Nemenman (ilya.nemenman(a)emory.edu) Sincerely, Ilya Nemenman Associate Professor of Physics and Biology Emory University, Atlanta, GA and Chair-elect, Division of Biological Physics (DBIO) American Physical Society (APS) http://nemenmanlab.org ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Senior Research Technician Post (EEG) at University of Cambridge
by Dr V Leong Oct. 9, 2015

Oct. 9, 2015

------------------------------------------- Senior Research Technician (Part-Time, EEG) ------------------------------------------- An exciting opportunity has arisen for a Senior Research Technician to be part of an ambitious and pioneering experimental research programme on mother-infant brain-to-brain synchrony. You will join a dynamic new infant neuroimaging lab headed by Dr Victoria Leong in the Department of Psychology, University of Cambridge. Your primary responsibility will be to set up, optimise and maintain a new state-of-the art, mobile (wireless) dual-EEG system for simultaneous neuroimaging of adults and infants in a naturalistic setting. You will provide day-to-day technical support to members of the research team, and you will also be required to provide assistance during EEG experimental sessions with mothers and infants. The lab has a strong focus on methods development and new technologies. Consequently, we seek an individual with a sound technical background and attention to detail, as well as an interest in methodological innovation. You will have at least an HNC or equivalent level qualification in a biomedical or engineering subject. Previous experience of working in a biomedical or biosciences laboratory is preferred. Practical experience of using EEG with adults and/or children is highly desired. The salary for this post will be £27,057-£32,277 pro rata, and appointment will be on a part-time basis (0.5 FTE) for 1.5 years. The closing date for applications is 1 Nov 2015. Interviews will be held during the week of 9 Nov 2015, and the post will begin on 4th Jan 2016 or as soon as possible thereafter. Informal enquiries may be directed to Dr Victoria Leong (vvec2(a)cam.ac.uk) For more details or to apply, please refer to http://www.jobs.cam.ac.uk/job/8329/

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Postdoctoral Position in Computational Neuroscience at Indiana University
by Eduardo J. Izquierdo Oct. 9, 2015

Oct. 9, 2015

Dear Colleagues, We are happy to announce that we are in the process of hiring a postdoctoral scientist interested in developing and analyzing integrated neuromechanical models of behavior at Indiana University. We would greatly appreciate if you could forward the attached ad to anyone who might be interested, or suggest suitable candidates. Sincerely, Eduardo J. Izquierdo Randall D. Beer Postdoctoral Position in Computational Neuroscience, Indiana University, Bloomington Applications are invited for a post-doctoral in Computational Neuroscience. The position will be available in Spring 2016, but the starting date is flexible. The initial appointment will be for one year, with the possibility of renewal for a second year. The successful candidate will be working with Professors Eduardo Izquierdo and Randall Beer to construct and analyze integrated neuromechanical models of behavior in the nematode worm C. elegans. The ideal candidate will have completed their doctoral studies, and should have expertise in modeling and computational neuroscience. Experience in parameter optimization algorithms, dynamical systems theory, and information theory would be preferred but not necessary. Strongest consideration will be given to applications received before December 31, 2015; however, applications will be considered until the position is filled. Interested candidates should review the application requirements and submit their applications at https://indiana.peopleadmin.com/postings/1962. Questions regarding the position can be directed to Professors Eduardo Izquierdo or Randall Beer at Cognitive Science Program, Indiana University, 1900 East 10th St., 819 Eigenmann, Bloomington, Indiana 47406-7512 or, by email, edizquie(a)indiana.edu or rdbeer(a)indiana.edu. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. Applications from women and minority group members are especially encouraged.

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Three faculty positions in Computational/Theoretical Neuroscience at the University of Texas at Austin
by Ila Fiete Oct. 9, 2015

Oct. 9, 2015

--------------------------------------------------------------------------------------- Three faculty positions in Computational/Theoretical Neuroscience at the University of Texas at Austin --------------------------------------------------------------------------------------- Announcing three tenure-track faculty positions in Computational and Theoretical Neuroscience and related fields at the University of Texas at Austin. The first position will be joint between the Departments of Neuroscience and Mathematics, the second will be joint between Neuroscience and Computer Science, and the third will be in the Department of Psychology. Please see the advertisements below for more details about the positions and how to apply. Applications are currently being accepted. Please disseminate this announcement broadly and please encourage colleagues ready to begin independent faculty positions to apply. ------------------------------------- ***Faculty Position in Computational/Theoretical Neuroscience and Mathematics* The Departments of Neuroscience and Mathematics at the University of Texas at Austin are currently inviting applications for a full-time tenure-track appointment at the Assistant Professor level. We seek a creative and original thinker in mathematical neuroscience. Areas of interest include but are not limited to dynamical models of networks and circuits; statistical methods in neuroscience; computational algebraic topology applied to neural systems; neural network theory; stochastic analysis of neural dynamics; probabilistic combinatorics; coding and information theory of neural systems; data analytics and machine learning approaches. This search is part of a cluster of planned faculty hires in Computational and Theoretical Neuroscience at the University of Texas at Austin. The successful candidate will lead a vigorous program of extramurally funded independent research and contribute to an environment of diversity in higher education through research, teaching, and service. She or he will have joint membership in both departments and the option to join various multi-disciplinary research centers on campus. *Applicant Instructions: *Interested applicants with a Ph.D. or equivalent, two or more years of post-graduate experience, and a record of research excellence in mathematical neuroscienceshould submit 1) a letter of interest, 2) a current curriculum vita, 3) three key scholarly publications, 4) a statement of research interests and vision, and 5) a teaching statement with evidence of excellence in teaching to <https://www.mathjobs.org/jobs/jobs/7538>https://www.mathjobs.org/jobs/jobs/7538. In addition, applicants must arrange to have at least three letters of reference submitted directly to the same website. Applications will be reviewed starting November 5, 2015, and will continue to be reviewed until the position is filled. Women and minorities are especially encouraged to apply. UT Austin is responsive to the needs of dual career couples and espouses family-friendly policies (http://www.utexas.edu/provost/policies/family/) Inquires related to this search may be directed to Kathleen Pantalion (<mailto:kpantalion@mail.clm.utexas.edu>kpantalion(a)mail.clm.utexas.edu) Ila Fiete (<mailto:ilafiete@mail.clm.utexas.edu>ilafiete(a)mail.clm.utexas.edu) or Bill Beckner (<mailto:beckner@math.utexas.edu>beckner(a)math.utexas.edu) ------------------------------------- *Faculty Position in Computational/Theoretical Neuroscience and Computer Science* ** The Departments of Neuroscience and Computer Science at the University of Texas at Austin are currently inviting applications for a full-time appointment at the Assistant Professor level. We seek a leader in computational and theoretical neuroscience. Areas of interest include, but are not limited to: graph and network theory of neural networks; information and complexity theory in neural systems; computational modeling, computational geometry, the theory of stochastic processes, and coding theory applied to neuroscience; statistics, data mining, machine learning, graphical modeling androbotics applied to or inspired by neuroscience. This search is part of a cluster of planned faculty hires in Computational and Theoretical Neuroscience at the University of Texas at Austin. The successful candidate will lead an outstanding program of extramurally funded independent research and contribute to an environment of diversity in higher education through research, teaching, and service. She or he will have joint membership in both departments and the option to join various multi-disciplinary research centers on campus. *Applicant Instructions: *Interested applicants with a Ph.D. or equivalent, two or more years of post-graduate experience, and a record of research excellence in computational and theoretical neuroscienceshould submit 1) a letter of interest, 2) a curriculum vita, 3) three key scholarly publications, 4) a statement of research interests and vision, and 5) a teaching statement with evidence of excellence in teaching. In addition, applicants must arrange for at least three letters of reference. To submit your application, go to <http://services.cs.utexas.edu/recruit/faculty/applicant/>http://services.cs.utexas.edu/recruit/faculty/applicant/. Applications will be reviewed starting November 5, 2015, and will continue to be reviewed until the position is filled. Women and minorities are especially encouraged to apply. UT Austin is responsive to the needs of dual career couples and espouses family-friendly policies (<http://www.utexas.edu/provost/policies/family/>http://www.utexas.edu/provost/policies/family/) Inquiries about the application may be directed to faculty-search(a)cs.utexas.edu <mailto:faculty-search@cs.utexas.edu>, or you may contact Kathleen Pantalion (<mailto:kpantalion@mail.clm.utexas.edu>kpantalion(a)mail.clm.utexas.edu) Ila Fiete (<mailto:ilafiete@mail.clm.utexas.edu>ilafiete(a)mail.clm.utexas.edu) or William Press (<mailto:wpress@cs.utexas.edu>wpress(a)cs.utexas.edu) ------------------------------------- *Faculty Position in the Computational Neuroscience of Perception and/or Action* The Center for Perceptual Systems at The University of Texas at Austin is currently inviting applications for a full-time appointment at the Assistant Professor level. The expected employment date is September 1, 2016. We are particularly interested in candidates who will be able to establish a strong research program in the computational and experimental science of perception or perception and action. Candidates must have a Ph.D. or equivalent from an accredited institution and a demonstrated ability to pursue an independent research program. The successful candidate will hold an appointment in an appropriate university department (e.g., Psychology, Neuroscience, Computer Science, Integrative Biology), will be expected to develop and maintain an extramurally funded research program, will be expected to participate in teaching activities at both the graduate and undergraduate levels, and will exhibit a commitment to service. For more information about the Center for Perceptual Systems see http://www.utexas.edu/cola/centers/cps/. (FRD: 6267) *Applicant Instructions:* Interested applicants should submit a letter of interest, current curriculum vita, representative scholarly publications, statement of research interests, evidence of excellence in teaching to: apply.interfolio.com/30070. You should also have a minimum of three referees submit letters of recommendation to: apply.interfolio.com/30070. Applications will be considered beginning November 1, 2015 and will continue to be reviewed until the position has been filled. Proof of conferred degree and a background check will be conducted on selected applicants. Position funding is pending final budgetary approval. Questions can be directed to the chair of the search committee, Dr. Wilson Geisler at w.geisler(a)utexas.edu. The University of Texas at Austin and the Department of Psychology strongly value multiculturalism and diversity.** -- Ila Fiete Associate Professor Department of Neuroscience | Center for Learning and Memory The University of Texas at Austin http://clm.utexas.edu/fietelab/

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Joint Harvard-IIT postdoctoral position in computational neuroscience (Harvey and Panzeri Labs)
by Stefano Panzeri Oct. 9, 2015

Oct. 9, 2015

Dear all, We will very soon open a new postdoctoral position in computational neuroscience in collaboration between the labs of Chris Harvey at Harvard Medical School (Boston) and of Stefano Panzeri at the Italian Institute of Technology (Rovereto, Italy). The post will be available from beginning of 2016 and is expected to be filled within the next couple of months. This postdoctoral position will be to work on neural population coding. The successful candidate will develop new analytical methods to study how populations of neurons encode sensory information and how this information is used to produce decisions. The candidate will apply these methods to large-scale recordings of neurons in sensory areas and posterior parietal cortex using calcium imaging methods in behaving rodents that navigate in a virtual reality environment. The successful candidate will work in Chris Harvey’s Lab at Harvard ( http://harveylab.hms.harvard.edu) and will have the opportunity to visit Panzeri’s lab (http://www.iit.it/en/people/stefano-panzeri.html) on a regular basis for scientific collaborations. Interested applicants should contact both Chris Harvey ( harvey(a)hms.harvard.edu) and Stefano Panzeri (stefano.panzeri(a)iit.it) by email, emailing their CV with the inquiry. Chris Harvey will be willing to meet prospective candidates at the SFN conference. For recent papers relevant to this postdoctoral opportunity, applicants are invited to consult the following articles: Harvey, C.D. et al. (2012) Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature 484, 62–68 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Panzeri, S, et al (2015) Neural population coding: combining insights from microscopic and mass signals, Trends in Cognitive Sciences 19: 162-172 Regards, Chris Harvey and Stefano Panzeri harvey(a)hms.harvard.edu stefano.panzeri(a)iit.it

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Postdoctoral Research Fellow - Magnetoencephalographic imaging of dissociative anaesthetic action
by David Liley Oct. 9, 2015

Oct. 9, 2015

Postdoctoral Research Fellow - Magnetoencephalographic imaging of dissociative anaesthetic action The Brain Dynamics Unit within the Brain and Psychological Research Centre at Swinburne University of Technology, in collaboration with the Universities of Michigan, Pennsylvania and Washington in St Louis, and supported financially by the James S McDonnell Foundation, is looking for a motivated and capable Postdoctoral Research Fellow to work on the functional neuroimaging of anaesthetic action. The planned project, to be performed in collaboration with physician anaesthesiologists, will involve the administration of the dissociative anaesthetic agents xenon (a noble gas) and nitrous oxide ('laughing gas') to healthy participants while simultaneous MEG and EEG is recorded. The induced changes in the functional architecture of the recorded electromagnetic activity will then be characterised using a range of existing and to be developed information theoretic, graph theoretic and non-linear methods. Attempts to account for any induced changes in terms of mean field/mass action models of brain electrical activity will also be investigated. The dissociative anaesthetic agents are of particular interest because they are reported to increase activity in the brain in addition to targeting glutamatergic neurotransmitter systems implicated in the pathogenesis of a number of psychiatric and neurological disorders. The position is intended for someone with substantial experience in recording MEG and the attendant source level analysis techniques (minimum norm, beamforming) in addition to possessing the requisite experience in existing and emerging methods used to estimate functional and effective brain connectivities from MEG and EEG data. Interested applicants should have a strong background in any of the following disciplines: theoretical physics, mathematics, biomedical or electrical engineering or quantitative biology. A first class honours degree or equivalent is required with proficiency in more than one of the following: C, Fortran, Python or Matlab in addition to substantial working knowledge of one or more of the following: FieldTrip, MNE, NutMEG, EEGlab, Brainstorm or SPM. Researchers in the unit, led by Prof David Liley, have developed a physiologically motivated theory of the dynamical genesis of the electroencephalogram (EEG). The model accounts for the rhythms of the human EEG and predicts their alteration by a range of pharmaceutical agents, in particular that of anaesthetic and sedative agents. Numerical solutions of the model's coupled set of non-linear partial differential equations have revealed spatio-temporal structures similar to those observed in experiment. It is hoped that this model can contribute to our understanding of how anaesthetic agents modulate brain activity. The Brain Dynamics group is part of the Brain and Psychological Sciences Research Centre (BPsyC), a vibrant, multi-disciplinary team of researchers whose expertise spans several different fields that include physics, psychology, psychophysiology, biophysics and the neurosciences. The BPsyC has among the most comprehensive suite of functional neuroimaging facilities available in Australia. These facilities include a 306 channel Elekta TRIUX MEG system, a Siemens 3T TIM Trio MRI and multiple high density EEG systems. Initial appointment will be for a period of 3 years at a salary level of no less than A6 (currently AUD 76,531) plus 17% superannuation. Interested applicants should email Prof. David T. J. Liley at dliley(at)swin.edu.au. Prof David T. J. Liley Brain Dynamics Brain and Psychological Sciences Research Centre Swinburne University of Technology Burwood Road Hawthorn 3122 Victoria Australia --------------------------- Prof David Liley Brain and Psychological Sciences Research Centre Swinburne University of Technology P.O. Box 218 Hawthorn VIC 3122 Australia ph: +61 3 9214 8812<tel:%2B61%203%209214%208812>

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Post doc research staff positions at HRL Laboratories in Malibu, CA
by Pilly, Praveen K Oct. 9, 2015

Oct. 9, 2015

The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories (www.hrl.com<http://www.hrl.com>) is looking for two exceptional postdocs to join a world-class team aiming to build revolutionary non-invasive stimulation systems that can accelerate skill acquisition and boost learning and memory for the general population. Successful candidates will work alongside leading scientists and engineers across the US and Europe. This project will be a very collaborative and inter-disciplinary effort. We are specifically looking for individuals with expertise in one or more of the following topics: neural statistical modeling, high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, closed-loop transcranial stimulation, brain-machine interfaces, and computational neuroscience. One individual will be tasked with developing, implementing, and validating real-time pattern recognition algorithms for decoding high-density EEG signals to inform non-invasive stimulation for memory enhancement. The other individual will be responsible for developing, implementing, and validating statistical and computational models that can interpret natural as well as stimulation-modulated brain activity at multiple time points to predict future behavioral performance in realistic memory tasks. Knowledge of declarative and/or procedural memory systems and sleep consolidation is desired, but not strictly required. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply. These are post-doctoral positions with an initial appointment for one year and renewal contingent upon satisfactory performance. The Information and Systems Sciences Laboratory conducts groundbreaking research in three thrust areas: Complex Networks, Cyber-Physical Resilience and Brain-Machine Intelligence. 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 Brain-Machine Intelligence 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. Interested candidates are requested to apply on line at HRL's website (http://www.hrl.com/careers/cars_jobs.html) Due to the large number of resumes that we receive from various sources, HRL has chosen to only accept employment inquiries submitted through our website. Please contact Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) for any questions related to this job opportunity. Applications will be accepted and reviewed until the positions are filled. https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba… https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba… -- Praveen K. Pilly, Ph.D. Research Staff Member Center for Neural and Emergent Systems Information and Systems Sciences Laboratory HRL Laboratories Email: pkpilly(a)hrl.com<mailto:pkpilly@hrl.com> Tel: 310-317-5492

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Neuroscience Graduate Group at the University of Pennsylvania
by Joshua Gold Oct. 8, 2015

Oct. 8, 2015

The Neuroscience Graduate Group (NGG) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2015. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and growing community of scholars in this field, including: Vijay Balasubramanian, Department of Physics Danielle S Bassett, Department of Bioengineering David H Brainard, Department of Psychology Maja Bucan, Department of Genetics Johannes Burge, Department of Psychology Alice S Chen-Plotkin, Department of Neurology Brian Chow, Department of Bioengineering Yale E Cohen, Department of Otorhinolaryngology Diego Contreras, Department of Neuroscience Christopher M Fang-Yen, Department of Bioengineering Maria Neimark Geffen, Department of Otorhinolaryngology Joshua I Gold, Department of Neuroscience John B Hogenesch, Department of Pharmacology Joseph W Kable, Department of Psychology Michael J Kahana, Department of Psychology Max Kelz, Department of Anesthesiology Brian Litt, Departments of Neurology and Bioengineering Joel D Mainland, Department of Neuroscience Javier F Medina, Department of Psychology Nicole C Rust, Department of Psychology Robert G Smith, Department of Neuroscience Alan A Stocker, Department of Psychology Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups. The application deadline for the NGG is December 1, 2014. For more details please see our website: http://www.med.upenn.edu/ngg/app_info.shtml ----- Joshua Gold University of Pennsylvania Department of Neuroscience 116 Johnson Pavilion 3610 Hamilton Walk Philadelphia, PA 19104-6074 office phone: 215-746-0028 lab phone: 215-746-0168 e-mail: jigold(a)mail.med.upenn.edu http://www.med.upenn.edu/goldlab

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PhD position in computational neuroscience. 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'. Bournemouth University-IDIBAPS
by Emili Balaguer-Ballester Oct. 8, 2015

Oct. 8, 2015

PhD position in computational neuroscience. 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'. Bournemouth University-IDIBAPS. A PhD position is available in 3-years fully-funded project "Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions"; based at Bournemouth University (UK) and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.htm, University of Barcelona, Spain). Do we have analysis tools for a reliable identification of the dynamical processes underlying decision-making? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, to reconstruct in detail neural dynamics generating cognitive decisions is a major challenge for current methodologies. This would be a highly significant advance; for instance the identification of stable dynamical patterns of activity in hippocampus deserved to win the last Nobel Prize. The aim of the project is to develop innovative approaches designed for the identification of metastable dynamics underlying cognitive decisions. We aim for the fusion of statistical learning approaches to pattern discovery with methods for identifying neural attractor dynamics and neurocomputational modelling. The novel approach will reconstruct neural dynamics during tasks specifically designed at Sanchez-Vives Lab in rodents and in human subjects at the Bournemouth EEG lab. The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU and at the cortical networks lab; embedded in the renowned systems neuroscience network in Barcelona. Applicants holding a degree in Physics, Computer Science, Engineering, Mathematics or similar disciplines are welcome. Interest or previous training in neuroscience and machine learning, as well master qualifications in these subjects, laboratory experience and a strong mathematical background would be very welcome. The researcher would be based at the Faculty of Science, Bournemouth University, and work with Dr Balaguer-Ballester at the Computational Neuroscience laboratory (http://dec.bournemouth.ac.uk/staff/ebb) and would spend prolonged periods of time in the Cortical Networks Lab (http://www.sanchez-vives.org/ IDIBAPS, Barcelona) led by Prof. Maria Victoria Sanchez-Vives; providing an outstanding opportunity to gain a diverse experience of both neuro-computational and experimental approaches. For more information and for applying please visit https://research.bournemouth.ac.uk/pgr/funded-phd-studentships-in-the-facul… For further details please do not hesitate to contact me: eb-ballester(a)bournemouth.ac.uk; twitter: @emilibalball . Kind regards Emili BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

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Postdoctoral positions in theoretical biophysics at Emory University
by Nemenman, Ilya Oct. 8, 2015

Oct. 8, 2015

Dear Colleagues, We’re happy to announce that the we are in the process of hiring multiple postdoctoral scientists for the newly-formed theoretical biophysics cluster at Emory University. If you could forward the attached ad to anyone who might be interested, or suggest suitable candidates, it would be greatly appreciated. Sincerely, Gordon Berman Ilya Nemenman Daniel Weissman ---------------------- Postdoctoral Positions: Theoretical Biological Physics at Emory University Applications are invited for multiple Postdoctoral Scientist positions in the new theoretical biophysics cluster at Emory University. The groups of Professors Gordon Berman, Ilya Nemenman, and Daniel Weissman constitute the core of the cluster, and additional members include groups within the Departments of Physics, Biology, Chemistry, and Biomedical Engineering, amongst others across Emory. The cluster studies a wide range of questions at the interface of physics and biology, with particular focus on modeling and quantifying behavior, collective information processing in neural and cellular systems, and evolutionary dynamics. A successful applicant will have a PhD and a strong publication record in theoretical physics, quantitative biology, computational neuroscience, or a related field. We are particularly interested in candidates with a track record of scientific creativity and independent thinking. Review of applications will begin immediately and will continue until the positions are filled. Please send your CV, a brief description of your research experience and interests, and a list of three references to q-bio-jobs(a)listserv.emory.edu. <mailto:q-bio-jobs@listserv.emory.edu> Emory University is one of the world’s leading research universities, with top-ranked programs in Population Biology Ecology and Evolution, Computational Neuroscience, Biomedical Engineering, and Biophysics. The outstanding School of Medicine and Rollins School of Public Health and the nearby Georgia Institute of Technology provide ample opportunities for collaborations. The hired postdoctoral scientists will benefit from unique resources available at Emory, such as the Center for Disease Control, located on Emory Campus, and the Yerkes Primate Research Center. Emory is located within a leafy neighborhood in the heart of Atlanta, a major cultural center and transportation hub, which offers high quality of life. Emory University is an AA/EEO employer. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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PhD opportunities in Computational Neuroscience
by Claudia Clopath Oct. 7, 2015

Oct. 7, 2015

Computational Neuroscience Laboratory Headed by Dr. Claudia *Clopath* Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented PhD student, interested in working in the field of computational neuroscience, specifically addressing questions of *learning and memory*. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. Demonstrated programming skills are a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called *synaptic plasticity*. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PhD candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. They will have the opportunity to collaborate with experimental laboratories, which study connectivity changes and behavioural learning. Candidates should be EU nationals. ----------------- The lab:----------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at *Imperial College London*, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/lab/index.html <http://www.bg.ic.ac.uk/research/c.clopath/> ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV (mentioning that they are EU nationals) to clopathlab.imperial(a)gmail.com, with the subject containing 'PHD2016'. In addition, candidates should organize two letters of references to be sent to clopathlab.imperial(a)gmail.com. The application *deadline is **Oct 25th* (both for the application as well as for the two letters of references). Skype Interviews will be held on the Oct 29th. ----------------- Funding:----------------- The candidate will apply to an Imperial College PhD scholarship. Deadline for funding application is on Nov 12. More information can be found at: <http://www3.imperial.ac.uk/researchstrategy/funding/phdscholarships> <http://www3.imperial.ac.uk/studentfinance/prospectivepgstudents/phdscholars…> http://www3.imperial.ac.uk/studentfinance/prospectivepgstudents/phdscholars…

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo Oct. 7, 2015

Oct. 7, 2015

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY: Applications for NIH-funded 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 and biophysical models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with intractable epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related recent 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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PhD Position in Deep Learning & Visual Neuroscience
by Paul Zhutovsky Oct. 7, 2015

Oct. 7, 2015

Hi there, we at EyeQuant, a visual neuroscience / machine learning startup based in Berlin have teamed up with a Marie Curie training network to offer a fully salaried PhD candidate position at the rapidly advancing intersection of Deep Learning, Computer Vision and Visual Neuroscience, starting as soon as possible. This is a really unique opportunity to obtain a PhD through a prestigious programme while working with and at a successful technology software startup, enabling you to simultaneously advance your career prospects both inside and outside of academia. Your supervisor and PI will be neuroscientist and EyeQuant co-founder Prof. Dr. Peter König, who is the Director of the Institute of Cognitive Science and Head of the Neurobiopsychology Lab at the University of Osnabrück, Germany. You will be based in EyeQuant’s Berlin HQ, with regular trips to our Lab in Osnabrück. You can find more details and next steps here: http://www.eyequant.com/#!/jobs#phd-candidate-research-engineer Please note that in order to be eligible for the MARIE SKŁODOWSKA-CURIE grant, you must not have carried out your main research activity for more than 12 months in Germany in the previous 36 months.

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Tenure Track Faculty Position in Theoretical Condensed Matter and Biological Physics
by Stepanyants, Armen Oct. 6, 2015

Oct. 6, 2015

The Department of Physics at Northeastern University invites applications for an Assistant or Associate Professor level tenure track position in theoretical condensed matter and biological physics to begin Fall 2016. This is a broad search covering all forefront areas of theoretical and computational condensed matter and biological physics. Candidates are expected to teach effectively both undergraduate and graduate physics courses, and establish an independent externally funded research program. The successful applicant is expected to have a PhD in Physics, although closely related areas will also be considered. Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University, and an E-Verify Employer. Applications from minorities, women and persons with disabilities are particularly welcome. Application materials submitted online at https://neu.peopleadmin.com/postings/38431 should include a cover letter, curriculum vitae, research and teaching statements, and names and e-mail addresses of four references. The deadline for receipt of all application materials, including the reference letters, is January 15, 2016. The position will, however, remain open until a suitable candidate is selected.

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COSYNE 2016: Abstract submission is open, Workshop proposal deadline on Oct 31
by Tomas Hromadka Oct. 6, 2015

Oct. 6, 2015

==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 01, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open! Abstract submission deadline: 13 November 2015 Workshop proposal deadline: 31 October 2015 The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. MAIN MEETING The main meeting is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. WORKSHOPS The workshops feature in-depth discussion of current topics of interest, in a small group setting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at www.cosyne.org) Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. CONFIRMED SPEAKERS: Blaise Aguera y Arcas (Google) Marisa Carrasco (NYU) Edward Chang (UCSF) Greg DeAngelis (Rochester) Mark Goldman (UC Davis) Sonja Hofer (Basel) Richard Mooney (Duke) Mala Murthy (Princeton) Peggy Series (Edinburgh) Reza Shadmehr (Johns Hopkins) Paul Smolensky (Johns Hopkins) Leslie Vosshall (Rockefeller) Xiao-Jing Wang (NYU) ORGANIZING COMMITTEE: General Chairs: Maria Geffen (U Penn) and Konrad Körding (Northwestern) Program Chairs: Megan Carey (Champalimaud) and Emilio Salinas (Wake Forest) Workshop Chairs: Claudia Clopath (Imperial College) and Alfonso Renart (Champalimaud) Publicity Chair: Xaq Pitkow (Rice) EXECUTIVE COMMITTEE: Anne Churchland (CSHL) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT cosyne.meeting [at] gmail.com

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Postdoctoral Position in Robust Intelligence / Theoretical Neuroscience
by Stepanyants, Armen Oct. 5, 2015

Oct. 5, 2015

The Center for Interdisciplinary Research on Complex Systems and the Department of Physics at Northeastern University, Boston, invite applicants for a postdoctoral position in Robust Intelligence / Theoretical Neuroscience to begin in the fall of 2015. The successful candidate will work on an AIR FORCE sponsored project to create a theoretical framework for the analysis of the effects of learning and robust memory storage on synaptic connectivity in local cortical networks. Applicants should have a Ph.D. in computational neuroscience, physics, mathematics, or related quantitative disciplines. Track record of experience in computational neuroscience, as well as excellent theoretical and computational skills are required. Knowledge of machine learning, replica/cavity theory from statistical physics, cortical neuroanatomy and connectivity is preferred. To apply, please send (1) a CV, including a list of publications, (2) a summary of prior research accomplishments, and (3) names and contact information of three reference providers by email to Prof. Armen Stepanyants, a.stepanyants(a)neu.edu<mailto:a.stepanyants@neu.edu>. The position is available immediately, and applications will be accepted until the position is filled. The initial appointment is for one year with the possibility of renewal on a yearly basis. Northeastern is an Equal Opportunity/Affirmative Action Title IX Employer. More information can be found at the Neurogeometry Lab website, www.neurogeometry.net<http://www.neurogeometry.net>. Armen Stepanyants Associate Professor Department of Physics and Center for Interdisciplinary Research on Complex Systems Northeastern University 110 Forsyth St., Boston, MA 02115 Phone: (617) 373-2944 Fax: (617) 373-2943 http://www.neurogeometry.net/

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PhD position in Zurich
by Jean-Pascal Pfister Oct. 5, 2015

Oct. 5, 2015

Applications are invited for one PhD student position at the University of Zurich. The position is funded by a SystemsX grant from the Swiss National Science Foundation. The project is entitled "Baysian learning of quantal parameters at single synapse resolution", and involves both experimentation and theory. Most models of synaptic transmission assume that all synapses between two neurons are identical. However, there is experimental evidence for significant heterogeneity in synaptic transmission between synapses. The major goal of this project is the development of an approach that allows for quantification of functional synaptic parameters incorporating single synapse heterogeneity. Half of the project will be devoted to experiments (electrophysiological and optophysiological investigation of synaptic transmission at Drosophila synapses), while the second part will involve modeling (Bayesian learning). The PhD student will be co-supervised by Prof. Martin Müller (Institute of Molecular Life Sciences, University of Zurich) and by Prof. Jean-Pascal Pfister (Institute of Neuroinformatics, ETH and University of Zurich). Both institutes offer ideal environments for performing theory-driven experiments due to the presence of many theoretical and experimental labs. The candidate should hold a Master degree/Diplom in Physics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have prior experience in an experimental lab, a very strong mathematical background, and good programming skills. The applicant should submit a CV, a statement of research interests, marks obtained for the Master/Diploma, and the abstract of the Master/Diploma thesis in electronic format to Jean-Pascal Pfister (jpfister(a)ini.uzh.ch <mailto:jpfister@ini.uzh.ch>) or Martin Müller (Martin.Mueller(a)imls.uzh.ch <mailto:Martin.Mueller@imls.uzh.ch>). In addition, two referees should directly send a letter of recommendation by email. The position is offered for a period of three years, starting on the 1st of January 2016. Salary scale is provided by the Swiss National Science Foundation (www.snf.ch <http://www.snf.ch/>). Deadline for application is the 30th of October 2015 or until the position is filled. +++ Martin Mueller SNSF Assistant Professor Institute of Molecular Life Sciences University of Zurich Y55-K78 Winterthurerstrasse 190 8057 Zurich Switzerland www.imls.uzh.ch/mueller.html <http://www.imls.uzh.ch/mueller.html> www.neuroscience.ethz.ch/research/molecular_cellular/mueller <http://www.neuroscience.ethz.ch/research/molecular_cellular/mueller> +++ Jean-Pascal Pfister SNSF Assistant Professor Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister <http://www.ini.uzh.ch/~jpfister> www.neuroscience.ethz.ch/research/computation_modeling/pfister <http://www.neuroscience.ethz.ch/research/computation_modeling/pfister>

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NIPS Workshop on Modelling and Inference for Dynamics on Complex Interaction Networks
by Yasser Roudi Oct. 5, 2015

Oct. 5, 2015

We invite contributions to the workshop on Modelling and Inference for Dynamics on Complex Interaction Networks Friday 11 December 2015 Palais des Congrès de Montréal, Montréal, Canada Submissions of both contributed talks and posters are welcome. Please email an abstract of up to 1 page (PDF preferred) to peter....(a)kcl.ac.uk <> by 30 October 2015 and indicate your preference for talk or poster. We will get back to you with decisions on acceptance of submissions by mid-November. Further information on the workshop theme, invited speakers etc can be found below or at http://www.netadis.eu/ <http://www.netadis.eu/> (go to "NIPS 2015" tab). Please distribute to any researchers that might be interested in participating. Many thanks, Manfred Opper, Yasser Roudi and Peter Sollich --------------------------------------------- INVITED SPEAKERS and indicative topics • Jose Bento Ayres Pereira, Boston College – learning networks of stochastic differential equations • Mathias Bethge, MPI Tübingen – dynamics of generalized linear models • Alfredo Braunstein, Polictecnico di Torino – inference problems for irreversible stochastic epidemic models • Ramon Grima, University of Edinburgh – approximate solutions of Fokker-Planck equations, Feynman system size expansion • Andrea Montanari, Stanford – to be confirmed • Federico Ricci-Tersenghi, “La Sapienza” University, Roma – cross-correlations to infer delay structure then interactions • Graham Taylor, University of Guelph – deep learning in dynamical networks ORGANIZERS Prof Manfred Opper (Technische Universitaet Berlin, Germany), Prof Yasser Roudi (NTNU, Trondheim, Norway), Prof Peter Sollich (King’s College London, UK) CONTACT Prof Peter Sollich: peter....(a)kcl.ac.uk <> ABSTRACT Inference and learning on large graphical models, i.e. large systems of simple probabilistic units linked by a complex network of interactions, is a classical topic in machine learning. Such systems are also an active research topic in the field of statistical physics. The main interaction between statistical physics and machine has so far been in the area of analysing data sets without explicit temporal structure. Here methods of equilibrium statistical physics, developed for studying Boltzmann distributions on networks of nodes with e.g. pairwise interactions, are closely related to graphical model inference techniques; accordingly there has been much cross-fertilization leading to both conceptual insights and more efficient algorithms. Models can be learned from recorded experimental or other empirical data, but even when samples come from e.g. a time series this aspect of the data is typically ignored. More recently, interest has shifted towards dynamical models. This shift has occurred for two main reasons: * Most of the interesting systems for which statistical analysis techniques are required, e.g. networks of biological neurons, gene regulatory networks, protein-protein interaction networks, stock markets, exhibit very rich temporal or spatiotemporal dynamics; if this is ignored by focusing on stationary distributions alone this can lead to the loss of a significant amount of interesting information and possibly even qualitatively wrong conclusions. * Current technological breakthroughs in collecting data from the complex systems referred to above are yielding ever increasing temporal resolution. This in turn allows in depth analyses of the fundamental temporal aspects of the function of the system, if combined with strong theoretical methods. It is widely accepted that these dynamical aspects are crucial for understanding the function of biological and financial systems, warranting the development of techniques for studying them. In the past, the fields of machine learning and statistical physics have cross-fertilised each other significantly. E.g. the establishment of the relation between loopy belief propagation, message passing algorithms and the Bethe free energy formulation has stimulated a large amount of research in approximation techniques for inference and the corresponding equilibrium analysis of disordered systems in statistical physics. It is the goal of the proposed workshop to bring together researchers from the fields of machine learning and statistical physics in order to discuss the new challenges originating from dynamical data. Such data are modelled using a variety of approaches such as dynamic belief networks, continuous time analogues of these – as often used for disordered spin systems in statistical physics –, coupled stochastic differential equations for continuous random variables etc. The workshop will provide a forum for exploring possible synergies between the inference and learning approaches developed for the various models. The experience from joint advances in the equilibrium domain suggests that there is much unexplored scope for progress on dynamical data. Possible topics to be addressed will be: Inference on state dynamics: – efficient approximation of dynamics on a given network, filtering, smoothing – inference with hidden nodes – existing methods including dynamical belief propagation & expectation propagation, variational approximations, mean-field and Plefka approximations; relations between these, advantages, drawbacks – alternative approaches Learning model/network parameters: – with/without hidden nodes Learning network structure: – going beyond correlation information

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PhD positions in Marie-Curie European Training Network (Synaptic Dysfunction in Alzheimer Disease)
by Tomas Hromadka Oct. 2, 2015

Oct. 2, 2015

A Marie Sklodowska Curie Actions sponsored European Training Network in Synaptic Dysfunction in Alzheimer Disease (SyDAD) is seeking 15 PhD students. ============ www.sydad.eu ============ RESEARCH SCHOOL SyDAD is an interdisciplinary PhD programme including an innovative research programme with cutting edge methodology, an excellent training programme, international exchanges and a translational and collaborative orientation. AIMS 1. To foster a new generation of researchers with an innovative mind-set and full understanding of the requirements of academia, pharmaceutical companies, the clinics and the societal challenges. 2. To, through a collaborative research programme, elucidate how the different pathways underlying synaptic dysfunction in Alzheimer Disease (AD) relate to each other, to identify novel pharmaceutical targets and to elaborate a drug discovery platform. THE DOCTORAL EDUCATION PROJECTS AND THE DUTIES OF THE STUDENT The doctoral students will use biochemical, cell biological, electrophysiological and in vivo methods as well as clinical material. The network has access to a wide repertoire of cutting-edge methodology including super-resolution microscopy, mass spectrometry, in vivo electrophysiology and optogenetics. The doctoral students will be seconded to other sites of the network during shorter periods to best utilize the resources of the network and participate in a common training programme at the different sites of the network. PROJECTS For more information about the projects, please see the SyDAD web site www.sydad.eu Karolinska Institutet, Stockholm, Sweden ESR 10: Targeting Cholesterol homeostasis and synaptic maturation. Contact: angel.cedazo-minguez(a)ki.se ESR 11: Synaptic proteome and Aβ interactome in AD brain and mouse models. Contact: susanne.frykman(a)ki.se ESR 13: EEG as a functional central biomarker in AD. Contact: vesna.jelic(a)ki.se ESR 14: Mitochondria stabilisers and synaptic function in AD. Contact: maria.ankarcrona(a)ki.se Apply to the projects at Karolinska Institutet at http://ki.se/en/about/jobs-at-karolinska-institutet University of Bordeaux, France ESR 2: Role of APP in presynaptic mechanisms. Contact: gael.barthet(a)u-bordeaux.fr ESR 7: Mitochondrial dysfunction in relation to synaptic function in mouse models of Alzheimer’s disease. Contact: Sandrine Pouvreau sandrine.pouvreau(a)u-bordeaux.fr ESR 12: Plasticity of local hippocampal circuits in mouse models of Alzheimer's disease: relation with episodic memory encoding. Contact: christophe.mulle(a)u-bordeaux.fr Apply to the projects at University of Bordeaux by e-mail: christophe.mulle(a)u-bordeaux.fr University of Milano, Italy ESR 1: Linking actin-dependent dendritic spine remodelling and ADAM10 activity in AD: the role of CAP2. Contact: monica.diluca(a)unimi.it ESR 9: A spine to nucleus signalling pathway in Alzheimer's disease. Contact: fabrizio.gardoni(a)unimi.it ESR 15: Development of cell permeable peptides capable of increasing ADAM10 activity. Contact: monica.diluca(a)unimi.it Apply to the projects at University of Milano by e-mail: monica.diluca(a)unimi.it and fabrizio.gardoni(a)unimi.it Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany ESR 3: Cascade linking Aß and tau-dependent toxicity to synapse loss. Contact: Mandelkow(a)dzne.de ESR 4: Loss-of-function genetic screening using CRISPR/Cas9. Contact: Daniele.Bano(a)dzne.de ESR 8. Synaptic plasticity and calcium remodelling. Contact: office-nicotera(a)dzne.de Apply to the projects at DZNE by e-mail: application(a)dzne.de Janssen Pharmaceuticals, Beerse, Belgium ESR 6: The roles of physiological and pathophysiological tau in synapse function and morphology. Contact: jpitaalm(a)ITS.JNJ.com Apply for the Janssen position here: http://jobs.jnj.com/s/u3z0MT Axon Neuroscience, Bratislava, Slovakia ESR 5: Rescue of truncated Tau-mediated synaptic dysfunction in vivo. Contact: novak(a)axon-neuroscience.eu For further information on the application process at Axon Neuroscience, please contact novak(a)axon-neuroscience.eu ENTRY REQUIREMENTS The entry requirements for each participating university will apply. ENTRY REQUIREMENTS OF MARIE SKLODOWSKA-CURIE ACTIONS The applicant should be a postgraduate researcher in the first four years (full-time equivalent) of their research activity, including the period of research training, who has not been awarded a doctoral degree. NOTE! Mobility rule: The researcher must not have resided or carried out his/her main activity (work, studies, etc) in the country of his/her host organisation for more than 12 months in the 3 years immediately prior to his/her recruitment. SKILLS AND PERSONAL QUALITIES - The applicants should have a genuine interest and solid education in Neuroscience at a master level or equivalent. - The applicants should have excellent practical skills in performing laboratory work. For specific requirements for the different projects, please contact the respective supervisor. - The applicants should have substantial experience in performing independent research projects, e g a Master thesis project - The applicants should have good collaborative skills and be open-minded. - The applicants should show good proficiency in written and spoken English equivalent to TOEFL or IELTS. APPLICATION PROCESS An application must contain the following documents in English: - A personal letter and curriculum vitae including references - A list of potential other project(s) within the SyDAD network the applicant applies for in prioritised order. - A copy of degree certificates and associated certificates. DEADLINE OF APPLICATION October 25th 2015

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Open-rank Tenure-track Position in (Computational) Neuroscience
by Erik De Schutter Oct. 1, 2015

Oct. 1, 2015

The Okinawa Institute of Science and Technology [OIST] Graduate University (http://www.oist.jp <http://www.oist.jp/>) invites applications for a faculty position in neuroscience. OIST emphasizes interdisciplinary research and teaching. Current faculty covers multiple disciplines in biology, chemistry, mathematics and physics; including a strong presence in experimental and theoretical neuroscience. Appointments can be made as Assistant Professor (tenure track), Associate Professor (tenured) or Professor (tenured). This is part of a plan to hire 50 new faculty members by 2023. We seek applicants with outstanding scholarship, creativity, and interdisciplinary interests. Further information and details of the application procedure may be accessed at https://groups.oist.jp/facultypositions <https://groups.oist.jp/facultypositions> Inquiries should be directed to Professor Ken Peach, Dean of Faculty Affairs, faculty-recruiting(a)oist.jp <mailto:faculty-recruiting@oist.jp> Applications should be made online before 15th November 2015. OIST is a new, English-language graduate university offering a world-class research environment and has an international research community with faculty, students and staff from over 50 countries. Faculty receives research budgets and has access to top of the line equipment. The campus is located on a beautiful, subtropical island in Okinawa, Japan. OIST Graduate University is an equal opportunity educator and employer committed to increasing the diversity of its faculty, students and staff by having proactive policies in place. We provide a family-friendly working environment, including a bilingual child development center on campus. Applications from women and other underrepresented groups are strongly encouraged. See https:// <https://groups.oist.jp/ged>groups.oist.jp/ged <https://groups.oist.jp/ged>.

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Up to five (5) tenure-track faculty positions in Brain and Cognitive Sciences @ MIT
by Kate White Sept. 30, 2015

Sept. 30, 2015

The Department of Brain & Cognitive Sciences (BCS) (http://bcs.mit.edu) at MIT is looking to hire up to five (5) tenure-track faculty at the assistant professor level. Affiliations with the Picower Institute for Learning & Memory and the McGovern Institute for Brain Research are possible. We are most excited about candidates who work in one or more of the following four (4) areas: i. Computational and theoretical approaches to neuroscience and cognition. Possible areas of focus include but are not limited to: statistics and data science, neural circuits, neural population representations and transformations, and cognitive processes. Candidates with the ability to build bridges across empirical domains are especially attractive. An affiliation with Electrical Engineering and Computer Science (EECS), the Computer Science and Artificial Intelligence Laboratory (CSAIL), Institute for Data, Systems, and Society (IDSS), or other allied departments is possible. ii. Systems neuroscience in non-human animals. The ideal candidate would be driven by computational questions and ideas from human cognition, with the goal of reverse-engineering the underlying neural representations and processes using tools that allow access to multiple brain regions. iii. Cognitive neuroscience in humans, especially if the candidate's work bridges levels of analysis using a variety of methods including MRI, MEG, fMRI, theoretical modeling, genetics and reverse engineering approaches. iv. Human cognition using behavioral methods, especially in the areas of language and/or cognitive development. Successful applicants are expected to develop and lead independent, internationally competitive research programs and to share in our commitment to excellence in undergraduate and graduate education by teaching courses and mentoring graduate and undergraduate students. PhD must be completed by start day of employment and some postdoctoral training is preferred. Please submit application materials - cover letter, CV, statement of research and teaching interests and representative reprints - online at http://academicjobsonline.org/ajo/jobs/5972. Please state research area in cover letter. To help direct the application, applicants should indicate which of the four areas listed above is their main research area by answering the mandatory questions included in the application. In addition, please arrange to have three letters of recommendation submitted online. All application materials are due by midnight (EST) on October 31, 2015. MIT is an affirmative action employer, and we encourage applications from women and underrepresented minorities. Best regards, Kate White Human Resources Administrator MIT - Department of Brain and Cognitive Sciences (BCS) 77 Massachusetts Ave., Bldg 46-2005A Cambridge, MA 02139 Phone: 617-253-5749 E-mail: kowhite(a)mit.edu<mailto:kowhite@mit.edu>

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Research Fellow Position in Mathematical Modelling and Feedback Control of Neural Systems
by David Grayden Sept. 29, 2015

Sept. 29, 2015

Research Fellow Position in Mathematical Modelling and Feedback Control of Neural Systems Research Fellow Grade 2 (Level B) NeuroEngineering Laboratory, Department of Electrical & Electronic Engineering The University of Melbourne Australia We seek a highly motivated person with expertise in neuroengineering, neural modelling, and control theory. The primary aim of this project is to devise and validate mathematical models of neural circuits and to developed closed-loop control algorithms for those circuits. In particular, the project will use experimental observations to derive and test transfer functions of afferent and efferent nerve activity for closed- loop control of inflammatory bowel disease. The mathematical modelling objective will run alongside physiological experiments to derive the transfer functions that constitute the most important aspects of the system. The research fellow will contribute to all aspects of the project, including the development of the transfer functions and the development of closed-loop control algorithms. This will involve working with physiologists to obtain the necessary neural and network parameters, constructing neuron models that match biological data, developing the control models and analysing their behaviour and parameter dependence, and implementing the algorithms to assess their effect. The person may also co-supervise PhD, MPhil and Master of Engineering students. The position is available for two years, renewable for a further two years depending on funding availability. More information and applications here: http://jobs.unimelb.edu.au/caw/en/job/886547/research-fellow Close date: 13 Oct 2015 Regards, David Professor David B. Grayden Director, Biomedical Engineering Dept of Electrical & Electronic Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia [cid:image001.jpg@01D0FB55.848428B0] This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

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2nd CFP Advanced Research on Biologically Inspired Cognitive Architecture
by Prof. Dr. Jordi Vallverdú Sept. 29, 2015

Sept. 29, 2015

*2nd Call for papers:* *"Advanced Research on Biologically Inspired Cognitive Architecture"(http://www.igi-global.com/publish/call-for-papers/call-details/1900 <http://www.igi-global.com/publish/call-for-papers/call-details/1900>). To be relased in July 2016, by IGI Global. * *Deadline: January 2016.* *Anthropic Oriented Computing (AOC) lies at the intersection among sociology, neuroscience, philosophy, anthropology, psychology, and computer science. We want to establish a new domain of the Anthropic-centric oriented computing merging and attract attention of wide audience for the inter/cross/trans- disciplinary areas and approaches such as field of a: philosophy, sociology, psychology, anthropology, neurophysiology and computer science. This way we aim at initiating the discussion on the Anthropo-centric -oriented computing with several specialists from different domains of the cognitive and social sciences. To gain broader view on the problems and tackled from different angles of perspective on Artificial Consciousness, and AGI and group/crowd dynamics.* *Recommended topics include, but are not limited to:* · *Affective cognitive architectures* · *Emotional computer interface* · *Situated and embodied cognition* · *Crowdcasting, Crowdsourcing, Crowdsensing* · *Swarm cognition (swarm intelligence + distributed cognition = swarm cognition)* · *Neuro-biologically inspired systems for AI* · *Philosophical aspects of Artificial consciousness* · *Computational Psychological aspects of Affective computation* · *Computational Neuroscientific aspects of Affective computation* · *Decision making and Artificial Consciousness* · *Volunteer computing* · *Social computing* · *Collective intelligence* · *Crowd agents* · *Agent crowdmap* · *Theory-based inference* · *Logic and graphical models* · *Causal reasoning and counterfactuals* · *Foundational and technical questions in bridging logical and probabilistic models* *Inquiries: Jordi Vallverdú, jordi.vallverdu(a)uab.cat <jordi.vallverdu(a)uab.cat> * Prof. Dr. Jordi Vallverdú, B. Phil, B. Mus, M.Sci, Ph.D. Room B7/104, Philosophy Dept. UAB 08193 Bellaterra (BCN) CATALONIA ------------------- FULL CV/Publications: https://uab.academia.edu/JordiVallverdu <https://uab.academia.edu/JordiVallverd%C3%BA> ORCID: http://orcid.org/0000-0001-9975-7780 ResearcherID: http://www.researcherid.com/rid/K-5536-2014 Researchgate: https://www.researchgate.net/profile/Jordi_Vallverdu

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Post-doctoral position in cognitive neuroscience of learning
by Christopher Honey Sept. 29, 2015

Sept. 29, 2015

A joint postdoctoral position is available in the labs of Amy Finn, Katherine Duncan, and Christopher Honey in the Department of Psychology at the University of Toronto. We are seeking a colleague who is interested in understanding how the human brain learns new sequential structure and how this changes with development. This unique collaboration will use computational modeling and neuroimaging to characterize the roles that subcortical learning and memory systems play in the development of statistical learning. The ideal candidate will have experience in cognitive neuroscience, strong quantitative training and an interest in systems of learning and memory as well as their development. The University of Toronto, typically ranked as one of the world's top 20 research universities, is located in downtown Toronto. The city is one of the most liveable and cosmopolitan cities in the world, and has a vibrant academic and biomedical community. This full-time position with benefits is fully funded for two years with an initial appointment of one year. There is also the possibility of extending the position beyond the first two funded years by applying for outside fellowships, such as the Canadian Institute of Health Research Fellowships, which are open to international trainees. The start date is flexible. Applicants should submit a CV, brief research statement, relevant publications, and contact details for two academic references to the addresses below. Please see the posting on the Psychology Department website ( http://home.psych.utoronto.ca/Assets/Psych+Digital+Assets/Psychology/Psych+… Employment+Opportunities/pdf.pdf), and contact any address below for more information. Contact Details Amy Finn: finn(a)psych.utoronto.ca, finnlandlab.org Katherine Duncan: duncan(a)psych.utoronto.ca , duncanlab.org Christopher Honey: honey(a)psych.utoronto.ca , honeylab.org

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Tenure Track Faculty Position in Biological Physics
by Ralf Haefner Sept. 29, 2015

Sept. 29, 2015

The Department of Physics and Astronomy at the University of Rochester invites applications for a tenure-track faculty position in Biological Physics. Applicants in both theoretical and experimental areas will be considered. Applicants should have a Ph.D., an outstanding record of research, and a commitment to excellence in teaching at both the undergraduate and the graduate level. The position is anticipated to be at the Assistant Professor level, however applicants at a more senior level will also be considered. We are especially interested in candidates whose research interests might leverage the University's recent strategic initiative in Interdisciplinary Data Science. However strong applications in any area of biological physics are encouraged. Each candidate should submit a letter of application, a curriculum vita including a list of publications, and a description of research and teaching plans. The candidate should arrange for four letters of recommendation to be sent in support of their application. Further instructions for applying to this search may be found at: https://www.rochester.edu/faculty-recruiting <https://www.rochester.edu/faculty-recruiting> To receive the fullest consideration, applicants are encouraged to apply by November 15. Review of applications will continue until the position is filled. The University of Rochester has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education. The University of Rochester is an Equal Opportunity/Affirmative Action employer and encourages applicants from members of minority groups and women. All applications are considered without regard to race, sex, religious or national origin. Salary will be competitive. EOE Minorities / Females / Protected Veterans / Disabled

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Multiple postdocs and RA positions in artificial consciousness based upon the integrated information theory
by Ryota Kanai Sept. 28, 2015

Sept. 28, 2015

Advertisement: 4 Postdoctoral and/or RA positions at Araya Brain Imaging, Tokyo, Japan. Four postdoctoral positions (or RA positions) are available to work on a JST (Japan Science and Technology) funded CREST research project on “Towards constructing artificial consciousness based on the integrated information theory (IIT)” (PIs: Kanai, Kawanabe and Maekawa, Co-PIs: Tsuchiya and Oizumi), which will run for 5.5 years from Oct 2015. The initial appointment will be for one year, with renewal based upon satisfactory performance and evaluation. Salary will be commensurate with experience. We are looking for young researchers (i.e., RAs, late-stage candidates for MSc or PhD degrees, or postdoctoral fellows) whose main research interest is the neuronal basis of consciousness, artificial intelligence, and/or the integrated information theory (IIT) of consciousness. There are 4 main projects: 1. Evolving artificial intelligent systems in complex game environments 2. Constructing systems with flexible sensory, cognitive and motor capability using deep neural networks (DNN) 3. Evaluation of integrated information in artificial systems 4. Empirical tests of IIT in real neural systems You will be employed at Araya Brain Imaging (CEO: Kanai) in Japan for all projects, but the actual location of work depends on the project. Projects 1 and 2 will mainly take place within Araya Brain Imaging in Tokyo, Japan, whereas Projects 3 and 4 will be conducted at Monash University, Australia. All projects will be supervised by Ryota Kanai (Araya), Naotsugu Tsuchiya (Monash) and Masafumi Oizumi (Monash and RIKEN, Japan). Researchers in all projects are expected to travel between Japan and Australia frequently (at least twice a year) to maximise interactions within the team. For each project, the exact requirement for experience and skills differ, but excellent programming and mathematical skills (especially familiarity in advanced statistics, machine learning and information theory) will be essential in all projects. Research Assistants are expected to learn those skills upon appointment. Excellence in written and oral English communication skills, as supported by objective publication recorded, is essential for postdoctoral applicants. Most importantly the enthusiasm to solve consciousness is mandatory. Araya Brain Imaging is a rapidly growing start-up located in Tokyo. While being a private company, our priority is the quality in research that drives innovation in neurotechnology. Many of the Araya members have been trained abroad (UK and US) and we are aiming to build an international hub for artificial consciousness. www.araya.org/eng Monash University, one of the eight top universities in Australia (G8), is forming a strong cluster of consciousness researchers, ranging from philosophers, neurophysiologists, and psychologists with excellent cognitive neuroscience tools available (simultaneous EEG & fMRI experiments and EEG/TMS & fMRI experiments at Monash Brain Imaging facility, which hosts a research-only MRI scanner, EEG, TMS and eye tracking. http://mbi.monash.edu.au/) Interested candidates are encouraged to send a CV, statement of research accomplishments and interests, PDF copies of representative publications, and contact information for 2 reference letters to: Please contact Yoshiko Tan (postdoc(a)araya.org) for questions and application. Application review will begin immediately and continue until the positions are filled. Best wishes, Ryota Kanai CEO of Araya Brain Imaging

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10th European Conference on Mathematical and Theoretical Biology
by Stephen Coombes Sept. 28, 2015

Sept. 28, 2015

========== ECMTB/SMB 2016 - www.ecmtb2016.org<http://www.ecmtb2016.org> ========== ========== Call for Minisymposium proposals - deadline, 18 Dec 2015 ========== 10th European Conference on Mathematical and Theoretical Biology The joint meeting of the European Society for Mathematical and Theoretical Biology (ESMTB) and the annual meeting of the Society for Mathematical Biology (SMB) will be held in Nottingham, 11-15 July 2016. We now invite proposals for minisymposia at the interface of mathematics and biology, including all areas of the life and medical sciences. Minisymposia will be held in two-hour blocks, consisting of 4 talks of 30 minutes each (including time for questions and changing speakers). Please fill in the form at www.ecmtb2016.org/submissions/<http://www.ecmtb2016.org/submissions/> to submit your minisymposium proposal. Following submission, the minisymposium proposer will receive a unique link which they should forward to each speaker, in order to register and submit their individual abstracts. Minisymposium proposers are encouraged to consider geographical and gender diversity when selecting speakers. Submission of abstracts for contributed talks and posters will open in due course, with a deadline of 14 Feb 2016. Please note: The first submission associated with your email address will create a user account, and a password will be emailed to that email address. Each registered user may make a maximum of two submissions to ECMTB 2016 (one as a minisymposium organiser; one for a minisymposium talk, contributed talk or poster). =========== Confirmed plenary speakers include: ============ Ruth Baker (University of Oxford, UK) Sander van Doorn (University of Groningen, Netherlands) Julia Gog (University of Cambridge, UK) Leah Keshet (University of British Columbia, Canada) Johan van de Koppel (Royal Netherlands Institute for Sea Research) Hisashi Ohtsuki (Kanagawa, Japan) Johan Paulsson (Harvard University, USA) and John Rinzel (NYU, USA) - SMB Winfree Prize lecture ========== ========== ========== ========== ========== best wishes, Markus Owen (Chair of the Local Organising Committee, ECMTB/SMB 2016) Local Organising Committee: Markus Owen, Daniele Avitabile, Leah Band, Bindi Brook, Stephen Coombes, Etienne Farcot, John King, Reuben O'Dea, Ruediger Thul, Jonathan Wattis Scientific Committee: Linda Allen, Ellen Baake, Jim Cushing, Andreas Deutsch, Odo Diekmann, Susanne Ditlevsen, Stephen Eglen, Amina Eladdadi, Yoh Iwasa, Eva Kisdi, Santiago Schnell, Artie Sherman, Jonathan Sherratt, Vitaly Volpert This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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4th Winter Q-Bio Mtg in HAWAII Feb. 2016 ***Abstract submission deadline NOV. 10, 2015***
by Santamaria, Cookie Sept. 28, 2015

Sept. 28, 2015

THE FOURTH ANNUAL WINTER Q-BIO MEETING Quantitative Biology on the Hawaiian Islands February 15-18, 2016 http://w-qbio.org/ The Winter q-bio meeting brings together scientists and engineers who are interested in all areas of q-bio. Technology is driving revolutionary changes in biology. Systems Biology has arisen as the deduction of interaction networks from -omics data generated in the wake of remarkable technological achievements. Likewise, DNA synthesis technologies are driving the development of Synthetic Biology, whereby engineered circuitry and even entire genomes can be reconstituted from chemical building blocks. These two emerging areas have catalyzed the growth of Quantitative Biology, whereby the central goal is the deduction of quantitative principles that can be used to construct predictive models for biological phenomena. The venue for 2016 is the Sheraton Waikiki<http://www.sheraton-waikiki.com/>, which is located in Honolulu, on the island of Oahu. The resort is known for its breathtaking oceanfront views, a first-of-its-kind recently opened "Superpool" and many award-winning dining venues. This year we will select contributed talks from the submitted abstracts to be presented with the invited talks during the plenary sessions. Contributed talks will also be selected for parallel breakout sessions that commence in the late afternoon. 2016 CONFIRMED SPEAKERS: Nathalie Balaban — Hebrew University Karen Carniol — Cell Hana El-Samad — UCSF James Ferrell — Stanford Justin Gallivan — DARPA Susan Golden — UCSD Jeff Hasty — UCSD Evonne Kaplan-Liss — Stony Brook Jennifer Lippincott-Schwartz — NIH X. Shirley Liu — Harvard Katie Pollard — UCSF Bryan Ray — Science Jonathan Weissman — UCSF Lingchong You — Duke CONFERENCE ORGANIZERS: Jeff Hasty, University of California, San Diego Galit Lahav, Harvard University Wendell Lim, University of California, San Francisco Gurol Suel, University of California, San Diego Olga Troyanskaya, Princeton & Simons Center for Data Analysis Lev Tsimring, University of California, San Diego ***REGISTRATION OPENS SOON! *** Registration fee covers conference venue, registration reception, banquet, coffee & snacks. EARLY BIRD REGISTRATION ($700 / $475 Student) DEADLINE: Sunday, December 20, 2015 REGULAR REGISTRATION ($800 / $575 Student) DEADLINE: Sunday, January 31, 2016 LATE REGISTRATION ($875 / $650 Student) After Sunday, January 31, 2016 REGISTRATION WILL BE AVAILABLE AT: http://w-qbio.org/ HOTEL: A block of rooms has been reserved for registered conference participants at the Sheraton Waikiki<http://www.sheraton-waikiki.com/> at a negotiated rate starting at $229 per night plus tax. We have also reserved a block of rooms at the Sheraton Princess Kaiulani<http://www.princess-kaiulani.com/> (just one block east and across the street from the Sheraton Waikiki) at a negotiated rate starting at $160 per night plus tax. The rooms will be available soon on a first-come, first-served basis, so book early! CONTRIBUTED TALKS: If you wish to present your work at the conference, either as an oral talk or a poster, you must submit an abstract through the conference website by the November 10th deadline. Abstract guidelines and submission information at: http://www.w-qbio.org/submit-abstract/ ABSTRACT DEADLINE: Tuesday, November 10, 2015 Abstract guidelines and submission information at: http://www.w-qbio.org/submit-abstract/ We encourage you to forward this message to any colleagues who may be interested in taking part in this exciting event. Questions should be emailed to: coordinator(a)w-qbio.org<mailto:coordinator@w-qbio.org> SPONSORED BY: ACS Synthetic Biology UC San Diego BioCircuits Institute and the San Diego Center for Systems Biology UC San Diego Divisions of Biological Sciences, Physical Sciences, q-bio, and Engineering

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Release of NEST 2.8.0
by Jochen Martin Eppler Sept. 27, 2015

Sept. 27, 2015

Dear NEST users, NEST 2.8.0 is distributed under the GNU General Public License version 2 (or later). This version marks the completion of our development efforts during the HBP ramp up phase and consists of 290 repository checkins by 25 developers since 2.6.0. The most notable changes are: * The new connection framework introduced in NEST 2.6.0 can now handle parameter arrays for the 'all-to-all' and 'one-to-one' rules. * A new propagator for integrate-and-fire neurons correctly handles the case where membrane and synapse time constants are similar or the same. * Better documentation and much extended examples for PyNEST improve the discoverability of NEST's features. All users are encouraged to upgrade and adapt their simulation scripts to the changes in the user interface at this point in time to benefit from the improvements in the new version. For a full list of changes and download links, see https://github.com/nest/nest-simulator/releases/tag/v2.8.0 IMPORTANT: some of the defaults in NEST changed. You might have to adapt your scripts accordingly. See the release notes for details. Best regards, Jochen! -- Dr. Jochen Martin Eppler Phone: +49 2461 61-9471 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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: Software Developer in Neuroinformatics
by Thomas Wachtler Sept. 26, 2015

Sept. 26, 2015

At the German Neuroinformatics Node (G-Node, http://www.g-node.org) Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field challenge large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods, including tools and formats for data annotation, management, and sharing. G-Node is funded by the Federal Ministry of Education and Research (BMBF) and is part of the Bernstein Network Computational Neuroscience (http://nncn.de) and national node of the International Neuroinformatics Coordinating Facility (INCF, http://incf.org) The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks include contributing to the development and enhancement of G-Node formats, tools and services (http://www.g-node.org/tools-and-services, https://github.com/G-Node) working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions. Candidates should have excellent programming skills, preferably in Python and C++ or Java, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in fields of relevance, such as semantic web technologies, relational databases, web development, scientific software and analysis, experimental or computational neuroscience, would be beneficial. The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension. Individuals with disabilities will be given preference in case of equal qualification. Applications by women are specifically encouraged. Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled. Applications should be sent, preferably as single pdf file by email, to Thomas Wachtler <wachtler(a)bio.lmu.de> -- Dr. Thomas Wachtler <wachtler(a)bio.lmu.de> Scientific Director German Neuroinformatics Node Department Biology II Ludwig-Maximilians-Universität München Grosshaderner Str. 2 82152 Planegg-Martinsried Germany

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Postdoctoral Position in Brain Mapping / Computational Neuroscience
by Stepanyants, Armen Sept. 25, 2015

Sept. 25, 2015

The Neurogeometry Lab of Prof. Armen Stepanyants at the Department of Physics, in collaboration with the BIG-DATAbase group of Prof. Mirek Riedewald at the College of Computer and Information Science, Northeastern University, Boston, invite applicants for a postdoctoral position in Brain Mapping / Computational Neuroscience to begin in the fall of 2015. The successful candidate will work on an NIH sponsored project to develop algorithms and software tools for large-scale automated reconstruction of neurons from stacks of light microscopy images. Applicants should have a Ph.D. in mathematics, physics, electrical engineering, computer science, or related quantitative disciplines. Track record of experience in image processing, as well as excellent programming skills in Java and MatLab are essential. Knowledge of computer vision and machine learning algorithms is a plus. To apply, please send (1) a CV, including a list of publications, (2) a summary of prior research accomplishments, and (3) names and contact information of three reference providers by email to Prof. Armen Stepanyants, a.stepanyants(a)neu.edu<mailto:a.stepanyants@neu.edu>. The position is available immediately, and applications will be accepted until the position is filled. The initial appointment is for one year with the possibility of renewal on a yearly basis. Northeastern is an Equal Opportunity/Affirmative Action Title IX Employer. More information can be found at the Neurogeometry Lab website, www.neurogeometry.net<http://www.neurogeometry.net>. Armen Stepanyants Associate Professor Department of Physics and Center for Interdisciplinary Research on Complex Systems Northeastern University 110 Forsyth St., Boston, MA 02115 Phone: (617) 373-2944 Fax: (617) 373-2943 http://www.neurogeometry.net/

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News for Brain States: Characterization and Neuromodulation by DBS‏
by neuro girl Sept. 25, 2015

Sept. 25, 2015

****News for Brain States: Characterization and Neuromodulation by DBS**** Abstract submission ends Sunday, September 27, 2015 at midnight EST. Registration is now open but space is limited. Please register now to secure your spot. Registration includes breakfast, coffee breaks and lunch. Information for submission and registration can be found at http://bit.ly/1JVElkf and https://dbs.veomed.net/. The Brain States: Characterization and Neuromodulation by DBS conference will take place on November 11-13, 2015 in Cologne, Germany. This is an interdisciplinary meeting with leading experts in academia and medicine who will present physiological, computational and clinical approaches to the brain dynamics and brain mechanics of complex functional networks in the brain. Transformations of the neurodynamic operations of the brain between the normal to the pathological state will be explored using multivariate data analysis (EEG, MEG, DBS, etc…). Special attention will be given to next-generation approaches which allow the collaboration of clinical practice and science to advance the field from principles of organization to the causal control of function. ********************************************************************************* Brain States: Characterization and Neuromodulation by DBS November 11-13, 2015 Cologne, Germany ******************************************************************************** We are proud to present a unique combination of internationally renowned speakers in an intimate setting which encourages open discussion. You are cordially invited to participate. Confirmed Speakers: Hagai Bergman (Hebrew University of Jerusalem) Peter Brown (University of Oxford) Stephan Chabardes (University Hospital Grenoble) Alain Destexhe (CNRS) Emad N. Eskandar (Massachusetts General Hospital-Harvard Medical School) Martijn Figee (University of Amsterdam) John J. Foxe (Albert Einstein College of Medicine) Marc Goodfellow (University of Exeter) Anthony A. Grace (University of Pittsburgh) Rowshanak Hashemiyoon (University Hospital of Cologne) Jens Haueisen (Technische Universität Ilmenau) Viktor Jirsa (Aix-Marseille Université /CNRS) Jens Kuhn (University Hospital Cologne) Klaus Lehnertz (University of Bonn) Andres Lozano (University of Toronto) Cameron McIntyre (Case Western Reserve University) Christoph M. Michel (University of Geneva) Urs Ribary (Simon Fraser University) Günter Schiepek (Paracelsus Medical University) Wolf Singer (Max Planck Institute for Brain Research) Dimitri van de Ville (University of Geneva) Veerle Visser-Vandewalle (University Hospital of Cologne) Jürgen Voges (Otto-von-Guericke-University Magdeburg) Looking forward to seeing you in Cologne! With kind regards, Row Hashemiyoon Rowshanak Hashemiyoon, PhD Chief, Behavioral Neurophysiology and Computational Neuroscience Klinik für Stereotaxie und Funktionelle Neurochirurgie Universitätsklinikum Köln Kerpener Str. 62 D - 50937 Köln Email: row.hashemiyoon(a)uk-koeln.de http://www.uk-koeln.de/de/stereotaxie

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Gatsby Computational Neuroscience Unit, PhD Programme
by Peter Dayan Sept. 24, 2015

Sept. 24, 2015

Gatsby Computational Neuroscience Unit, University College London 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel methods, and applications of these to the analysis of perceptual processing, neural data, machine vision and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a building, and Biosciences, Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and Statistics, the cross-faculty Centre for Computational Statistics and Machine Learning, and also with other UK and overseas universities. The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning. All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. We will review applications as soon as they are complete (including a CV, statement of research interests and letters from three referees) until the positions are filled. Early application is thus advised. Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html

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Call for applications: travel grants for advanced PhD students, the 2016 ELSC Annual Retreat
by Yoram Burak Sept. 24, 2015

Sept. 24, 2015

Dear Colleagues, Please distribute this to graduate students who might be interested. Sincerely, Yoram Burak --- The 2016 ELSC Annual Retreat January 24-26, Kibbutz Ein Gedi, Israel The Edmond and Lily Safra Center for Brain Sciences at the Hebrew University offers competitive scholarships to support the travel and accommodation of 20 outstanding advanced international Ph.D. students to present their work in our annual retreat. These scholarship are offered for the first time this year. ELSC is a multidisciplinary neuroscience center. Our retreat thus covers the whole spectrum of brain research, including computational, molecular, cognitive, and systems neuroscience. The ELSC retreat is an optimal venue for advanced Ph.D. students to present their work and receive expert feedback. The program includes talks by our advanced graduate students, and plenary speakers: Fred Wolf (MPI for Dynamics and Self Organization, Göttingen), Ilana Witten (Princeton University), and Serge Domoulin (Utrecht University). Candidates are requested to send their CV, a letter of intent, and a recommendation letter to BRAIN(a)ELSC.huji.ac.il by November 1st, 2015. Awardees will be announced no later than November 15th. See also: http://elsc.huji.ac.il/content/travel-grants-elsc-retreat ---

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Three postdoctoral positions in computational and systems olfactory neuroscience in Pittsburgh
by Nathan Urban Sept. 23, 2015

Sept. 23, 2015

Drs. Bard Ermentrout and Nathan Urban of the University of Pittsburgh, (Departments of Mathematics and Neurobiology) and the Center for the Neural Basis of Cognition invite applications for three postdoctoral positions for a NSF-funded BRAIN initiative project focused on the experimental and computational analysis of odor-driven navigation. (See NSF press release: http://www.nsf.gov/news/news_summ.jsp?cntn_id=136333&org=NSF&from=news and http://www.nsf.gov/awardsearch/showAward?AWD_ID=1555862&HistoricalAwards=fa… ) This three year project involves investigators at six institutions and is focused on analysis of how olfactory cues are used to guide navigation behavior in a number of species. Both behavioral strategies and brain mechanisms will be evaluated. The Pittsburgh group will combine experimental and computational approaches and will integrate detailed measurement and analysis of mouse behavior with simultaneous measurements of neural activity. We seek candidates with expertise in: Neurophysiology especially in vivo recording Automated behavioral analysis Computational models of brain networks The successful candidate will have a PhD or equivalent degree in neuroscience, applied math, engineering, computer science or a related discipline. Successful candidates will have a track record of publications and experience in experimental and/or computational neuroscience. Postdocs will be expected to participate in ongoing collaborations with other groups in Pittsburgh and in other locations, especially the other members of this project team. Postdocs in the lab will have the opportunity to present their work at national and international meetings and to take advantage of many opportunities for professional development.. Applicants can contact Dr. Urban via e-mail at nurban(a)pitt.edu and/ or Dr Ermentrout at bard(a)pitt.edu and should apply via: *https://goo.gl/HkhtY5 <https://goo.gl/HkhtY5>.Nathan Urban, Ph.D.Vice Provost for Special Projects829 Cathedral of LearningProfessor and Associate Chair - Department of Neurobiologyhttp://www.neurobio.pitt.edu/ <http://www.neurobio.pitt.edu/>Co-Director Center for the Neural basis of Cognitionwww.cnbc.cmu.edu <http://www.cnbc.cmu.edu/>Associate Director Pittsburgh Brain Institutehttp://www.braininstitute.pitt.edu/ <http://www.braininstitute.pitt.edu/>E1440 BSTWR200 Lothrop StreetUniversity of PittsburghPittsburgh, PA 15213Phone: 412-648-3396nurban(a)pitt.edu <nurban(a)pitt.edu> *

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Postdoc position in Computational Neuroscience
by Curtu, Rodica Sept. 23, 2015

Sept. 23, 2015

Postdoctoral Position in Computational Neuroscience Position Description: A postdoctoral position in Computational Neuroscience is available in the Human Brain Research Laboratory at The University of Iowa (HBRL; http://www.healthcare.uiowa.edu/Labs/hbrl-neurosurgery/index.html) The appointment is funded through the Mathematics Department but the work will be conducted in the HBRL. The initial appointment is for 12 months, renewable for another year subject to satisfactory progress, and potentially longer depending on funding. The position is available immediately and the salary is commensurate with experience. The postdoctoral scholar will work under the guidance of Dr. Rodica Curtu (Mathematics) and Dr. Kirill Nourski (Neurosurgery) on a project studying the neural mechanisms of auditory perceptual representation and perceptual switching (http://homepage.math.uiowa.edu/~rcurtu and http://www.medicine.uiowa.edu/dept_primary_apr.aspx?appointment=Neurosurger… ).The project involves collection of human electrocorticography (ECoG) recordings, signal processing and modern data-driven analytics, and dynamical systems modeling. HBRL is a multidisciplinary and collaborative research environment administered by the Department of Neurosurgery at the University of Iowa, College of Medicine. The lab covers a broad range of research interests in auditory processing, neuroeconomics, sensory-motor integration, and visual processing. The Department of Mathematics has an active, vibrant Mathematical Biology/Computational Neuroscience research group with established interdisciplinary collaborations both within and outside the University of Iowa. Qualifications: The successful candidate should have a PhD or equivalent degree in Neuroscience, Cognitive Sciences, Applied Mathematics, Computer Science, Biomedical Engineering, Electrical Engineering, or a related discipline. Applicants should have substantial expertise with at least one programming language (preferably Matlab) and be able to conduct research both independently and as part of a team. Good written and oral communications skills are required. Knowledge in signal processing and/or dynamical systems is highly desirable. Particularly, experience in modeling complex neural systems or experience in analyzing data from large-scale electrophysiological recordings will be appreciated. Evidence of research productivity is also considered an asset. How to apply: Complete application forms should be submitted at https://jobs.uiowa.edu/postdoc/view/2459 (jobs.uiowa.edu; requisition # 2459), and include: 1) a CV including education, research experience and a list of publications 2) a 1-2 page statement of prior research experience and accomplishments 3) a 1-2 page statement of future research interests and objectives 4) the names and contact information of 2 individuals who can provide reference letters. For questions, applicants can write to: Dr. Curtu at rodica-curtu(a)uiowa.edu or Dr. Nourski at kirill-nourski(a)uiowa.edu The University of Iowa is an equal opportunity/affirmative action employer.

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CFP: FLAIRS 2016 , Key Largo, Florida
by bisant＠umbc.edu Sept. 22, 2015

Sept. 22, 2015

CALL FOR PAPERS FLAIRS 2016, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Key Largo, Florida http://www.flairs-29.info/ Paper submission deadline: November 16, 2015. Notifications: January 18, 2016. Camera ready version due: February 22, 2016. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 16, 2015. For FLAIRS-29, the 2016 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-29.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate the Data Mining special track for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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Interdisciplinary Postdoctoral Position in Neurodegeneration
by Sharmila Venugopal Sept. 22, 2015

Sept. 22, 2015

Amyotrophic Lateral Sclerosis Postdoctoral Research Position Department of Integrated Biology and Physiology, UCLA A two year Postdoctoral position is available to study the changes in synaptic and membrane properties in brainstem sensory neurons, interneurons and motoneurons in a mouse model of amyotrophic lateral sclerosis (ALS). We use methods that include electrophysiology, pharmacology, molecular biology and computational modeling to understand the mechanisms underlying the disease process. The successful applicant should have a solid background and publication record in using brain slice patch-clamp methodology and be willing to collaborate with an interdisciplinary team. Please send your CV and 1-2 references to: Dr. Sharmila Venugopal (vsharmila(a)g.ucla.edu <https://mail.mednet.ucla.edu/owa/redir.aspx?SURL=Cp9PAbfQ8hjH3yo9m6P6kT5EHJ…>) Department of Integrated Biology and Physiology University of California Los Angeles

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Postdoctoral positions in computational Neuroscience -- Poirazi lab, Crete
by Yiota Poirazi Sept. 22, 2015

Sept. 22, 2015

Could you please advertise these postdoctoral positions in my lab through the NeuroInfo-Comp-Neuro mailing list*?* Thank you very much in advance, Yiota Poirazi ---------------------------------------------------------------------------- *Description:* We are looking for highly motivated candidates to fill 1-2 postdoctoral positions in the laboratory of Panayiota Poirazi at IMBB-FORTH in Crete, Greece. The positions are funded by the ERC starting grant dEMORY, whose goal is to characterize the role of dendrites in learning and memory processes so as to formulate a unifying theory regarding their contribution in memory formation across brain regions and abstraction levels. This will be achieved via the development of computational models at different abstraction levels in the hippocampus the prefrontal cortex and the amygdala. By manipulating the biophysical, anatomical and plasticity properties of dendrites and tracking the effect on memory, the project aims to infer the key rules by which these thin structures shape mnemonic processes. These rules will then form the basis for deducing theoretical abstractions of trainable neurons with dendrites.The project has been running since 2012 and has already produced a number of outcomes, which can be found at the following web sites: www.demory.gr <http://www.demory.gr>, www.dendrites.gr <http://www.dendrites.gr> *Qualifications:* The ideal candidate should have expertise in computational neuroscience, preferably but not necessarily in biophysical modelling, and a deep interest in neural/dendritic computations, learning and memory. *To apply: **_ Application deadline: October 20^th , 2015 (applications will be continuously screened until the positions are filled)._* The position(s) will be available for 2 years, as of November 1st, 2015.*_ _*Salary: 28,000-36,000 Euro (including benefits), depending on experience and career stage. Candidates should send a *resume and two (2) reference letters* to *poirazi[at]imbb.forth.gr*. If possible, recommendations should be sent by the referees. *__* *__* <http://www.dendrites.gr>*THE POIRAZI LAB* The Computational Biology Laboratory <http://www.imbb.forth.gr/people/poirazi/>at IMBB-FORTH performs research that is at the forefront of Computational Neuroscience and places special emphasis on understanding the role of dendrites in information processing and storage. Outcomes of the lab have significantly influenced the field of dendritic computations by providing key predictions that were later verified experimentally. For her contributions to Neuroscience Dr. Poirazi received several awards including the EMBO Young Investigator award, two Marie Curie fellowships, a Starting Grant from the European Research Council (ERC), membership to the Young Academy of Europe and the Young Scientist Community of the World Economic Forum etc. Yiota Poirazi is currently the Chair of FENS-Kavli Network of excellence, a prestigious network of 30 outstanding Neuroscientists whose goal is to shape the future of Neuroscience in Europe and beyond. -- Panayiota Poirazi, Ph.D. Director of Research Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385 GR 711 10 Heraklion, Crete, GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr http://www.dendrites.gr Chair, FENS-Kavli Network of Excellence http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/

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International Symposium on Prediction and Decision Making 2015
by Kenji Doya Sept. 22, 2015

Sept. 22, 2015

We are pleased to announce the second International Symposium on Prediction and Decision Making. The program and abstracts are available from the web site: https://groups.oist.jp/ncu/international-symposium-prediction-and-decision-… Poster abstract deadline: September 30th Registration deadline: October 16th **** International Symposium on Prediction and Decision Making 2015 Date: October 31st - November 1st (Sat-Sun), 2015 Venue: Koshiba Hall, The University of Tokyo Special Lecture: Wolfram Schultz (University of Cambridge) Neural Circuit for Decision Making: Robert Malenka (Standord University) Anatol Kreitzer (University of California,San Francisco) Bernard Balleine (University of Sydney) Catharine Winstanley (University of British Columbia) Katsuyuki Kaneda (Kanazawa University) Takayuki Teramoto (Kyushu University) Social and Affective Decision Making: Toshio Yamagishi (Tamagawa University) John O’Doherty (California Institute of Technology) Masahiko Haruno (NICT CiNet) Satoshi Umeda (Keio University) Takafumi Minamimoto (National Institute of Radiological Sciences) Hitoshi Okamoto (RIKEN) Model-based Decision Making: Nathaniel Daw (New york University) Masamichi Sakagami (Tamagawa University) A.David Redish (University of Minnesota) David Foster (Johns Hopkins University) Sophie Deneve (ENS) Akihiro Funamizu (OIST) Yu Ohmura (Hokkaido University) Akio Namiki (Chiba University) Computational Psychiatry: Read Montague (Virginia Tech) Mitsuo Kawato (ATR) Mathias Pessiglione (ICM Brain & Spine Institute) Michael J. Frank (Brown University) Hidehiko Takahashi (Kyoto University) Sponsored by Prediction and Decision Making Project, MEXT. http://decisions.jp/english ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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ECML PKDD 2016 call for journal track papers
by Olana Missura Sept. 21, 2015

Sept. 21, 2015

We invite submissions for the journal track of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2016. The conference provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning, data mining, and knowledge discovery. The conference will take place in Riva Del Garda, Italy, September 19-23, 2016. This edition will feature a full day of plenary presentations---for papers of general interest to the whole community---and two days of parallel sessions. All accepted papers will be presented both orally and as posters. What papers are eligible for the journal track? Papers on all topics related to machine learning, knowledge discovery, and data mining are invited. However, given the special nature of the journal track, only papers that satisfy the quality criteria of journal papers and at the same time lend themselves to conference talks will be considered. This implies that journal versions of previously published conference papers, or survey papers will not be considered for the special issue. Papers that do not fall into the eligible category may be rejected without formal reviews but can of course be resubmitted as regular papers. Authors are encouraged to adhere to the best practices of Reproducible Research (RR), by making available data and software tools for reproducing the results reported in their papers. For the sake of persistence and proper authorship attribution, we require the use of standard repository hosting services such as http://dataverse.org, http://mldata.org, http://openml.org, etc. for data sets, and http://mloss.org, https://bitbucket.org, https://github.com, etc. for source code. Authors who submit their work to the special ECMLPKDD issues of the journals commit themselves to present their results at the ECMLPKDD 2016 conference in case of acceptance. How to submit? To submit to this track, authors have to make a journal submission to either the Springer Data Mining and Knowledge Discovery journal or the Springer Machine Learning journal, and indicate that the submission is for the “ECMLPKDD 2016" special issue. It is recommended that submitted papers do not exceed 20 pages including references and appendices, formatted in the Springer journal slyle (svjour3,smallcondensed). This is a soft limit, but if a submission exceeds the limit, please provide a brief justification regarding the length in the cover letter. Authors are required to include a cover letter containing a short summary of their contribution (2 pages max), where they address the following questions: 1. What is the main claim of the paper? Why is this an important contribution to the machine learning/data mining literature? 2. What is the evidence provided to support claims? Be precise. 3. What papers by other authors make the most closely related contributions, and how is the paper related to them? 4. Who are the most appropriate reviewers for the paper? Authors are encouraged to suggest up to four candidate reviewers (especially if external to the Guest Editorial Board), including a brief motivation for each suggestion. What is the reviewing process? The journal track allows continuous submissions from the end of September 2015 to March 2016. We expect two cutoffs per month on which we distribute papers to reviewers with the first one being the 27th of September 2015 and the last one being the 30th of March 2016. For papers accepted without revisions we strive for a turn around time of two months. This means that we should be able to include all of those submissions in the special issue. However, in the last years there has often been the need for revisions and we therefore recommend to submit papers as early as possible. Contact You can contact the Journal Track Chairs at jt_chairs(a)ecmlpkdd2016.org.

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CFP 1st International Conference on Complex Information Systems - COMPLEXIS 2016
by Calendar Sites Sept. 21, 2015

Sept. 21, 2015

CALL FOR PAPERS 1st International Conference on Complex Information Systems COMPLEXIS 2016 Website: www.complexis.org April 22 24, 2016 Rome, Italy <http://www.complexis.org/Glossary.aspx#RP> <http://www.complexis.org/Glossary.aspx#RP> Regular Papers Paper Submission: December 1, 2015 Authors Notification: January 28, 2016 Camera Ready and Registration: February 12, 2016 <http://www.complexis.org/Glossary.aspx#PP> <http://www.complexis.org/Glossary.aspx#PP> Position Papers Paper Submission: January 5, 2016 Authors Notification: February 5, 2016 Camera Ready and Registration: February 19, 2016 Workshops Workshop Proposal: November 9, 2015 Special Sessions Special Session Proposal: November 18, 2015 Tutorials, Demos and Panel Proposals December 14, 2015 Sponsored by: INSTICC Institute for Systems and Technologies of Information, Control and Communication INSTICC is Member of: OMG Object Management Group FIPA - The Foundation for Intelligent Physical Agents WfMC Workflow Management Coalition Logistics Partner: SCITEVENTS Science and Technology Events COMPLEXIS The International Conference on Complex Information Systems, aims at becoming a yearly meeting place for presenting and discussing innovative views on all aspects of Complex Information Systems, in different areas such as Informatics, Telecommunications, Computational Intelligence, Biology, Biomedical Engineering and Social Sciences. Information is pervasive in many areas of human activity perhaps all and complexity is a characteristic of current Exabyte-sized, highly connected and hyper dimensional, information systems. COMPLEXIS 2016 is expected to provide an overview of the state of the art as well as upcoming trends, and to promote discussion about the potential of new methodologies, technologies and application areas of complex information systems, in the academic and corporate world. KEYNOTE LECTURES <http://www.complexis.org/KeynoteSpeakers.aspx#1> Peter Sloot, University of Amsterdam, Netherlands; Complexity Institute Singapore, Singapore; ITMO St. Petersburg, Russian Federation PUBLICATIONS All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is a member of CrossRef ( <http://www.crossref.org/> http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the <http://www.scitepress.org/DigitalLibrary/Default.aspx> SCITEPRESS Digital Library . A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of <http://www.ronpub.com/index.php/journals/ojbd> Open Journal of Big Data (OJBD) . A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of <http://www.igi-global.com/journal/international-journal-organizational-coll ective-intelligence/1140> International Journal of Organizational and Collective Intelligence. A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of <http://www.journals.elsevier.com/future-generation-computer-systems/> Future Generation Computer Systems Journal. A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a <http://www.journals.elsevier.com/journal-of-network-and-computer-applicatio ns/> Journal of Network and Computer Application. The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. AWARDS The awards will be announced and bestowed at the conference closing session. Please check the website for further information: http://www.complexis.org/BestPaperAward.aspx COMPLEXIS CONFERENCE CHAIR Victor Chang, Leeds Beckett University, United Kingdom PROGRAM CO-CHAIRS Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain Oleg Gusikhin, Ford Research & Adv. Engineering, United States CONFERENCE AREAS: Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING 2. COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING 3. COMPLEXITY IN COMPUTATIONAL INTELLIGENCE 4. COMPLEXITY IN SOCIAL SCIENCES AREA 1: COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING * Complexity Theory * Chaos Theory and Applications * Quantum Computing * Information and Entropy * Simulation and Modeling * Automation, Control and Robotics * Connected Vehicles * Complex Networks * Internet and the Semantic Web * Big Data Analytics * Usability of Complex Information Systems AREA 2: COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING * Complex Biomedical Systems and Signals * Bioinformatics * Computational Biology * Biological and Biomedical Data Mining * Ontology Engineering * Biomedical Signal Processing * Biomedical Imaging and Data Visualization * Health Systems Complexity * Artificial Life * Population Models AREA 3: COMPLEXITY IN COMPUTATIONAL INTELLIGENCE * Complex Adaptive Systems * Evolutionary Computing * Neuro-fuzzy Systems * Self-Organizing Systems * Deep Learning * Non-Linear Dynamics * Decision Making under Uncertainty * Knowledge-Based Systems * Intelligent Multi-agent Systems AREA 4: COMPLEXITY IN SOCIAL SCIENCES * Social Networks * Linguistic and Cognitive Systems * Complexity Management * Data-Driven Models * Visualization * Cultural Models * Multi-Agent Systems * Economic Complexity * Information Systems * Security, Privacy and Trust PROGRAM COMMITTEE <http://www.complexis.org/ProgramCommittee.aspx> http://www.complexis.org/ProgramCommittee.aspx Please check further details at the conference website: http://www.complexis.org/ COMPLEXIS Secretariat Address: Av. D. Manuel I, 27A, 2º esq. 2910-595 Setúbal - Portugal Tel.: +351 265 520 184 Fax: +351 265 520 186 e-mail: <mailto:%20complexis.secretariat@insticc.org> complexis.secretariat(a)insticc.org

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Faculty Position in Biophysics including Neurophysics
by Ralf Wessel Sept. 18, 2015

Sept. 18, 2015

Biological/Biomedical Physics The Department of Physics in the School of Arts and Sciences announces a tenure-track faculty opening at the assistant professor level in Experimental Biological/Biomedical Physics. We are seeking a candidate who will enhance activities within the Physics Department and develop connections with other Arts and Sciences, Engineering School, and Medical School Departments. The duties of the position will include, but are not limited to, teaching and advising students, conducting original research and publishing the results, and participating in departmental and university service. A PhD in Physics or in a closely related field is required, along with an undergraduate degree in Physics and the ability to teach a range of traditional undergraduate physics courses in addition to specialized courses. Candidates are sought who have highly visible research achievements and who have a strong aptitude for teaching and mentoring students at the undergraduate and graduate levels. The appointment will begin Fall 2016. Information on our department can be found at http://www.physics.wustl.edu. Applications should consist of the following: cover letter, current resume including publication record, statement of research interests and plans (up to 5 pages), statement of teaching interests and approach (up to 3 pages), and names and complete contact information (including email addresses) of three references. Application materials must be submitted electronically by email as a single file in editable (e.g. not password protected) PDF format to biophysicssearch(a)physics.wustl.edu. For full consideration applications should be submitted on or before November 1, 2015. -- **************************************************** Ralf Wessel, Associate Professor of Physics Washington University in St. Louis http://www.physics.wustl.edu/people/wessel_ralf http://neuroscience.wustl.edu/ ****************************************************

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Re: [Comp-neuro] PhD Position - Florida International University
by Jorge Riera Diaz Sept. 18, 2015

Sept. 18, 2015

Could you please advertise this PhD position through the NeuroInf-Comp-Neuro mailing list? Thanks in advance! Jorge _____________________________________________ From: Jorge Riera Diaz Sent: Tuesday, September 15, 2015 11:31 AM To: 'comp-neuro-bounces(a)neuroinf.org' Subject: PhD Position - Florida International University PhD Position Neuronal Mass Dynamics lab (https://nmd.fiu.edu/) Department of Biomedical Engineering, Florida International University Description: We are looking for a highly motivated PhD candidate to investigate the mechanisms underlying the Cortical Spreading Depression (CSD). CSD is a disorder of the brain characterized by a transient but complete loss of neuronal function and a complete breakdown in ionic homeostasis in affected brain areas. This disturbance spreads at speeds of 2-7mm/min across the brain. Despite efforts, the propagative agent the CSD wave remains controversial. Goal: The goal of the current research project is to develop a solid bridge between a comprehensive computational model and intracranial data (i.e. VSDI, LFP/MUA, LDF, and IOS) obtained from rats during induced-CSD propagation. The computational model, consisting of partial differential equations (PDEs) that describe voltage dynamics, electro-diffusion of ions and osmotic water flow in the central nervous system, as well as the numerical algorithm to integrate it, will be developed in collaboration with Dr. Yoichiro Mori at the University of Minnesota. Obtaining experimental data and developing algorithms for statistical inference on certain model parameters will constitute the core of the PhD thesis. Data from this study will be used to evaluate mechanisms and principles underlying the genesis of the LFPs, as well as the nature of the EEG and MEG current sources. Qualifications: The ideal candidate should have an interdisciplinary research background with experience in computational neuroscience, biophysical modeling and MATLAB programming. Background in experimental neurophysiology is desirable. Candidates with a MSc in Neuroscience, Biomedical Engineering, Electrical Engineering, Computational Neuroscience or related field will have preferences. This PhD position is supported by NSF funds. As part of this grant, the PhD student will be able to enjoy Summer Internships at the Department of Mathematics of the University of Minnesota. Position should start on summer 2016. However, there might be chances to expedite the entire recruitment process in order to start PhD-related activities on spring 2016. Stipend: $25,000 Tuition: Waived Don't miss this unique opportunity to perform high quality research surrounded by an excellent tropical environment, with incredible attractions and unexpected wonders in the Miami-Dade County. Extra opportunities are available for those interested in scuba diving and beach-related activities. Please, send your Resume to: 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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Neuroinformatician Blog
by Mohammed Iftekhar Sept. 18, 2015

Sept. 18, 2015

Dear All Neuroinformatician I found Neuroinformatician blog <http://neuroinfos.blogspot.in/p/neuroinformatics-tools.html> i.e http://neuroinfos.blogspot.in/p/neuroinformatics-tools.html which share software ,jobs,events,seminars,conferences,videos and many more resources which is use full for all Neuroscience professional scientist.I found this is very much use full for neuroscience group . so I am sharing the link with all neuroscience community .kindly share this blog information and share information from your side through this blog this can be made popular with the neuroscience professional and make neuroscience research success full. Thanks & Regards -- *Mohammed Iftekhar* *M: 07259699189* *E: iftubip(a)gmail.com <iftubip(a)gmail.com>*

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Academic faculty positions at Imperial College London.
by Simon Schultz Sept. 18, 2015

Sept. 18, 2015

Dear all, There is an open hiring round in the Department of Bioengineering at Imperial College London. I would particularly like to encourage strong applications in translational neurotechnology. New hires would be invited to join the Centre for Neurotechnology (http://www.imperial.ac.uk/neurotechnology) The Centre for Neurotechnology hosts the EPSRC CDT in Neurotechnology for Life and Health (offering at least 12 fully funded 4-year PhD studentships per annum), as well as providing access to state of the art equipment and infrastructure for research at the interface between neuroscience and engineering. Best wishes, Simon Schultz -- Simon R Schultz BSc BE ME(Res) DPhil FIET FRMS Reader in Neurotechnology & Royal Society Industry Fellow Neural Coding Laboratory: http://www.schultzlab.org Department of Bioengineering, Imperial College London South Kensington, London SW7 2AZ, UK Director, Imperial College London Centre for Neurotechnology http://www.imperial.ac.uk/neurotechnology Administrator: Dr Kate Hobson, Phone: +44 207 594 5101 ** *Imperial College London*- Department of Bioengineering *Location:* City Of London *Salary:* £46,410 to £57,020 Per annum *Hours:* Full Time *Contract Type:* Permanent *Placed on:* 17th September 2015 *Closes:* 4th December 2015 *Job Ref:* EN20150321FH ** *Lecturer salary range £46,410 to £51,720 per annum* *Senior Lecturer minimum salary £57,020 per annum* Due to rapid growth and the strategic importance of the discipline of bioengineering at Imperial College London, the Department of Bioengineering wishes to appoint up to three new members of academic staff at Lecturer or Senior Lecturer grade. As part of the development of the Michael Uren Biomedical Engineering Research Hub <http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/newssummary/n…>within one of the areas identified for growth. We are looking for candidates in the following fields of translational Bioengineering; .Neural Engineering; .Regenerative Medicine; .Synthetic Biology; .Musculoskeletal Bioengineering; .Cardiovascular Engineering; .Cancer Technology; and .Magnetic Resonance Imaging as applied to any of the areas above. Candidates should have an advanced degree (PhD or equivalent) in an appropriate science or engineering discipline and will have demonstrated an ability to generate and execute research at an internationally-leading level. Experience of teaching at all levels is also required. For an informal discussion please contact the Head of Department, Professor Anthony Bull: email a.bull(a)imperial.ac.uk or telephone 020 7594 5186. Our preferred method of application is online via our website at the following link: http://www3.imperial.ac.uk/employment(select "Job Search" and enter the job reference no.*EN20150321FH*). Please complete and upload the application form as directed. *As a requirement please submit up to 2 page documentation specifying your Research Vision Statement. Please identify on application which research area your application applies to.* /Imperial Managers lead by example./ <http://www3.imperial.ac.uk/hr/procedures/support/opportunities/expectations> *Interviews will take place during January 2016* /Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people/

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Faculty Positions in Applied Mathematics at Northwestern University
by Hermann Riecke Sept. 17, 2015

Sept. 17, 2015

Northwestern's Department of Engineering Science and Applied Mathematics is seeking to fill two tenure-track faculty positions in Applied Mathematics (starting date Sep 1, 2016). For details, please see http://www.mccormick.northwestern.edu/applied-math/job-opportunities.html Hermann Riecke

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new MATLAB toolbox for Multivariate Transfer Entropy: MuTE
by Alessandro Montalto Sept. 16, 2015

Sept. 16, 2015

Dear all, I am very pleased to announce the availability of my brand new MATLAB toolbox to detect directed dynamical influences among time series. This new open source software implements four entropy estimators in both uniform and non-uniform embedding approaches. MuTE can perform analyses running some or all methods in parallel sessions. The user should only set the parameters related to the kind of analysis and the specific method/s chosen to assess the directed dynamical influences. For further explanations about the methods and how to set MuTE, please visit the website http://mutetoolbox.guru/ where you can also find the link to the paper that describes MuTE and the link to download it at the following address: http://mutetoolbox.guru/downloads/ Subscribe to the newsletter if you want to be kept updated about future updates of MuTE or follow the toolbox improvements through - twitter: https://twitter.com/mutetoolbox - facebook: https://www.facebook.com/mutetoolbox Best regards, Alessandro Montalto

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NEUROMOD: submission deadline extended (final call)
by Jaime Ibánez Pereda Sept. 16, 2015

Sept. 16, 2015

Apologies for multiple postings ************************************************************ Dear colleagues, After numerous requests, the submission deadline for NEUROMOD'2015 has been extended until "September 25, 2015". Below you can find the details of the Symposium. *CALL FOR PAPERS* “Symposium on Neuromodulation-based Approaches for Neural Rehabilitation -NEUROMOD 2015” (http://www.neurotechnix.org/neuromod.aspx) In conjunction with the Neurotechnix conference, November 16-17, 2015, Lisbon. *IMPORTANT DATES:* Paper Submission: Extended to September 25th, 2015 Authors Notification: October 6, 2015 Camera Ready and Registration: October 13, 2015 *DETAILS:* Neuromodulation is a rapidly-growing field, encompassing the application of targeted electrical/chemical/biological stimuli to the nervous system in order to improve function and quality of life. At present, an increasing number of implantable and non-invasive techniques are being proposed and made available to the clinicians, to stimulate CNS plasticity and foster recovery from motor, neurological and psychiatric disorders. Advancing in the field of neuromodulation represents challenges to build accurate neurophysiological models, understanding mechanisms of neuromodulation at cellular and systems levels, defining optimal engineering methodologies, and developing clinical application to treat patients. This session provides an opportunity for researchers/engineers/clinicians to present and discuss novel neurorehabilitation paradigms based on neuromodulation targeted at the spinal and/or supraspinal level. Top quality papers at NEUROMOD will be eligible for inclusion in the post-congress IOP journal of best papers or even for the best-paper award to be presented at the main congress, NEUROTECHNIX. *SUBMISSION GUIDELINES:*Authors should submit either a complete paper or a two-page abstract. The link to upload your contribution is: http://www.neurotechnix.org/NEUROMOD.aspx. *ORGANIZERS*: Stefano Piazza, Neural Rehabilitation Group, CSIC, Spain Jaime Ibáñez, Neural Rehabilitation Group, CSIC, Spain Julian Taylor, HNP Toledo, Spain and Stoke Mandeville Spinal Research, United Kingdom

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Job posting - Research Assistant/Data Analyst | Stanford University School of Medicine
by Manish Saggar Sept. 16, 2015

Sept. 16, 2015

[Apologies for cross-posting] The Center for Interdisciplinary Brain Sciences Research (CIBSR) in the department of Psychiatry at Stanford University School of Medicine is seeking a full-time Research Assistant (Non-Clinical) to help with analyzing large-scale neuroimaging (fMRI/NIRS/EEG) and behavioral datasets from both healthy and patient populations. Responsibilities will include:-Developing software/scripts to implement algorithms for data control, data preprocessing/analysis, database management and coordinating data-sharing initiatives-Developing/running machine learning algorithms to better understand high-dimensional datasets-Assisting in analyzing research data using specific fMRI Neuroimaging programs and/or software (e.g., FSL, AFNI). -Helping with designing and developing novel neuroimaging paradigms for data collection-Collecting new neuroimaging/behavioral data Applicants should have:-B.S. (or higher) in electrical engineering, biomedical engineering, computer science, or other related scientific fields-Strong programming skills in Python, Matlab, or similar languages.-Experience with data science related projects-Prior research experience (preferred)-Experience with UNIX Operating systems (e.g., Linux, Mac OSX) and shell scripting (preferred) General Info: -The applicant will work closely with the team of faculty, post-docs, and research coordinators to track project progress, meet deadlines, anticipate project needs and communicate with project collaborators outside of the lab, train and supervise undergraduate students to assist with data processing, and train other staff as needed. -May require extended or unusual work hours based on research requirements and business needs. Salary and Anticipated Start Date: -Salary is competitive and commensurate with experience/educational qualifications. Anticipated Start Date is immediate. Application details: - Please email Manish Saggar (saggar(a)stanford.edu) to apply, please include a CV including the names of 3 references with your inquiry.

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Research Assistant in Neuro-imaging Technology
by Wong-Lin, Kongfatt Sept. 15, 2015

Sept. 15, 2015

The Functional Brain Mapping (FBM) facility at the Intelligent Systems Research Centre (ISRC), Ulster University, has an available 2-year fixed term Research Assistant in Neuro-imaging Technology post. Duties and responsibilities of the successful postholder will include conducting periodic tests, maintenance of magnetoencephalography (MEG) system, and management of patients while ensuring their safety. S/he will assist with the supervision of health and safety, risk management, and standard operating procedures pertaining to all activities in the FBM facility. Interested applicants are welcomed to apply at: http://www.jobs.ac.uk/job/ALX092/research-assistant-in-neuro-imaging-techno… Please note that the closing date is on the 30th September 2015. All applicants should hold a degree in bio-medical engineering, medical physics, neuroscience, psychology, medicine, biomedical sciences or a closely related discipline, or a higher degree in the same or related subjects. Applicants are expected to be trained in the fundamentals and applications of MEG technology, and have clinical experience in a MEG lab used as part of a neurophysiology clinic. Successful applicants will be based primarily at the FBM facility at the ISRC with opportunities to interact with other related research teams and clinicians. ------ Dr. KongFatt Wong-Lin Intelligent Systems Research Centre, School of Computing and Intelligent Systems, Faculty of Computing and Engineering, Ulster University, UK ________________________________ 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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FINAL Call for Papers (EXTENDED deadline till 1 Oct 2015): 7th International Conference on Brain Inspired Cognitive Systems (BICS), 11-13 Dec 2015, Hefei, China
by Dr Amir Hussain Sept. 15, 2015

Sept. 15, 2015

On popular demand, the paper submission DEADLINE has been EXTENDED till 12:00 GMT, 1ST OCTOBER 2015 - for details, see the BICS'2015 (Final) Call for Papers below (with ISI-SCI journal ONLY conference proceedings!) With apologies for any cross-postings, please help circulate this final CFP to friends and colleagues. Thank you in advance. BICS'2015 CFP website: http://www.cs.stir.ac.uk/events/bics2015/cfp_e.html (ALL papers accepted (after a rigorous peer-review process) for presentation at the Conference will be published in the leading ISI-SCI indexed Springer journal: Cognitive Computation (http://springer.com/12559) as a multi-part Special Issue! - for more details, see the conference website, and below) Introduction to BICS'2015: The seventh 2015 International Conference on Brain Inspired Cognitive Systems (BICS 2015) will be held on December 11-13, 2015, in Hefei, Anhui, China, as a sequel of BICS 2004 - 2013. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2013 was held in Beijing, China, 9-13 June 2013 (http://www.conference123.org/bics2013/) The aim of BICS 2015 is to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art of brain inspired cognitive systems research and applications in diverse fields. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular and timely topics. Proceedings Information: BICS 2015 will be unique in that there will be no conference proceedings. ALL accepted papers will be published (following a rigorous peer review process) in the leading ISI-SCI indexed Springer journal: Cognitive Computation (http://springer.com/12559) as a multi-part Special Issue. Conference Location The conference will be held in Anhui University in Hefei, China. Hefei, formerly known as Hofei, Luzhou, or Luchow, is the capital and largest city of Anhui Province in Eastern China. Hefei Xinqiao International Airport provides scheduled passenger service to major airports in China and international cities as well. Hefei plays an important role in scientific research in China. It has seven national laboratories, second only to Beijing. We would be delighted to welcome you to Hefei in December. For more details on the venue, including travel information, see: http://www.cs.stir.ac.uk/events/bics2015/venue_e.html Important Dates (Final Call for Papers) Full paper submission: EXTENDED TILL 1 October 2015 (1200 GMT) First notification: 31 October 2015 Conference Dates: 11-13 December 2015 Revised/final manuscripts due: 31 December 2015 BICS'2015 Issue Publication Date: early 2016 Paper Submission: All prospective authors are invited to submit full-length papers (10-15 pages maximum) through the online Springer submission system (selecting the BICS2015 Special Issue), with a covering letter indicating the paper is being submitted for BICS'2015 (hhttp://www.editorialmanager.com/cogn/ <http://www.editorialmanager.com/cogn/>) - please indicate the relevant BICS Symposium name (see topics list on the Conference website). The submission of a paper implies that the paper is original and has not been submitted under review or copyright protected elsewhere. The authors of accepted papers will have an opportunity to revise their papers. If the paper is accepted, at least one of the authors listed on the paper (or his/her representative) must attend the conference and present the paper. On behalf of: BICS'2015 General co-Chairs: Professor Amir Hussain (University of Stirling, Scotland, UK) and Professor Bin Luo (Anhui University, China) and BICS'2015 Organizing Committee ( http://www.cs.stir.ac.uk/events/bics2015/committee_e.html ) For any enquiries, please email: ahu(a)cs.stir.ac.uk or luobin(a)ahu.edu.cn -- The University is ranked in the QS World Rankings of the top 5% of universities in the world (QS World University Rankings, 2014) The University of Stirling is a charity registered in Scotland, number SC 011159.

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SECOND CALL FOR PAPERS
by Roman Poznanski Sept. 15, 2015

Sept. 15, 2015

SPECIAL ISSUE ON RETINAL MECHANISMS UNDERLYING MOTION PERCEPTION IN VERTEBRATES JOURNAL OF INTEGRATIVE NEUROSCIENCE This call for papers is dedicated to the work of Vaxim Maximov on the general theme of retinal direction selectivity in vertebrates. All papers are welcome that describes neurophysiology and neural modelling of retinal circuitries underlying motion perception. Some suggestions: 1. Can asymmetry be justified based on anatomical studies showing less inhibitory synapses between SAC and DSGC in the null direction? 2. Is endoplasmic reticulum as a source of calcium heterogeneity underlying DS in SAC? 3. Is calcium bias to somatofugal motion due to intrinsic properties of SAC or is calcium bias in centrifugal motion caused by presynaptic delay in glutamate receptor activation induced calcium? 4. Are SACs are connected asymmetrically to DSGCs: those pointing in the null direction deliver inhibition; those pointing in the preferred direction do not? 5. Is intracellular calcium signal and not the membrane potential (voltage) directionally selective? 6. Direction-selective circuitry in the fish visual system – properties of direction selective units in retina and tectum opticum. 7. Properties of direction selective units in accessory optic systems of lower vertebrates. 8. Modeling of receptive fields of retinal detectors underlying motion perception in fish. Some of the contributing papers for the special issue include: 1. Amane Koizumi, Satoru Moritoh and Roman R. Poznanski (2015) Can heterogeneity of intracellular calcium dynamics underlie directional selectivity in starburst amacrine cells? 2. Ehud Pinsky, Opher Donchin and Ronen Segev (2015) Pharmacological study of direction selectivity in the archer fish retina. 3. Ilija Damjanović (2015) Direction-selective units in goldfish retina and tectum opticum – review and new aspects. 4. Elena M. Maximova, Pavel V. Maximov, Ilija Damjanović, Alexey T. Aliper and Vadim V. Maximov (2015) Color properties of the motion detectors projecting to the goldfish tectum: III. Color-opponent interactions in the receptive field. 5. Vladimir A. Bastakov, Elena Kiseleva, Oleg Yu. Orlov (2015) Direction-selective units in the frog’s nucleus of basal optic root. SUBMISSION 30 September 2015 Contact: Dr. Illija Damjanović, damjanov(a)iitp.ru<mailto:damjanov@iitp.ru> ------- Roman R. Poznanski Professor Laboratory of Biological Modeling The Rockefeller University 1230 York Avenue New York, NY 10065-6399 Office: (212) 327-7646 E-mail: rpoznanski(a)rockefeller.edu http://romanpoznanski.blogspot.com and Chief-Editor, Journal of Integrative Neuroscience http://www.worldscinet.com/jin/mkt/editorial.shtml

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