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Open postdoctoral position in computational neuroscience+machine learning+statistics
by Turaga, Srinivas C Feb. 2, 2016

Feb. 2, 2016

The Turaga Lab is looking for an exceptional postdoctoral researcher, for research at the intersection of machine learning and neuroscience. https://www.janelia.org/lab/turaga-lab —— About the lab —— With recent technological advances in 3d electron microscopy, optogenetics and large-scale chronic in vivo neural imaging, it is now possible to measure and perturb the activity of large populations of neurons, and to map their connectivity. These new data can be used understand how the structure of a neural circuit gives rise to its function. Our lab develops machine learning algorithms to map neural connectivity, and statistical models to characterize neural activity and to relate activity to connectivity. We have pioneered the use of deep-learning based machine learning algorithms to map neural connectivity from 3d electron microscopic images of brain tissue, and we are now working to improve these methods. This involves solving interesting new problems in structured prediction, active learning and unsupervised learning at an unprecedented scale (imagine working with labeled training datasets with 10^9 examples in a 10^6 dimensional feature space and wanting to achieve accuracies of 99.999%!). We are developing novel statistical methods for the analysis of large-scale calcium imaging datasets, and medium-scale connectome datasets, in order to help understand the latent structure of neural activity and neural connectivity. Our ultimate goal is build models combining large-scale activity measurements with structural connectomes in order to relate neural activity to neural connectivity with statistical and mechanistic models. —— About the institute —— HHMI's Janelia Research Campus is a unique, world-class research community near Washington, D.C. dedicated to understanding the function of neural circuits and developing synergistic imaging technology. Our highly collaborative structure is designed to support interdisciplinary work in small lab groups. We seek candidates who are comfortable with risk and are able to think independently to develop novel approaches. —— Applying —— Applicants should have a strong quantitative background with degrees or expertise in machine learning, computational neuroscience, applied mathematics, physics or related discipline. Excellent collaborative programming skills in Python, C/C++, Java or similar languages are essential. To apply, please send me a CV and names and addresses of 2-3 references by email. I will also be attending Cosyne 2016 in Salt Lake City from Feb 25-28 and will be happy to meet you there. Srini Turaga, Group Leader turagas(a)janelia.hhmi.org https://www.janelia.org/lab/turaga-lab Howard Hughes Medical Institute / Janelia Research Campus 19700 Helix Drive, Ashburn VA 20147 Office: +1 (571) 209 4131 Fax: +1 (571) 209 4939

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PhD Position: Modelling Gait in People with Parkinsons Disease, University of Exeter
by Tsaneva-Atanasova, Krasimira Feb. 2, 2016

Feb. 2, 2016

Based within the EPSRC Centre for Predictive Modelling in Healthcare, a £2M initiative bringing together mathematicians, statisticians and clinicians, you will work on a project aiming to develop a data-driven mathematical modeling framework in order to study gait impairments in patients with Parkinson’s under the supervision of Prof Krasimira Tsaneva-Atanasova. 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 biomechanics and/or neuroscience is a plus. Please apply using the following link: http://www.exeter.ac.uk/studying/funding/award/?id=2057 Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298 ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent http://www.euromov.eu/alterego/homepage

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***INDIN 2016 special session: Cognitive computing for Cyber Physical Systems ***
by Evgeny Osipov Feb. 2, 2016

Feb. 2, 2016

Dear colleagues, Sorry for a possible cross-posting Please consider to submit your publication to special session “Biologically-Inspired Cognitive Architectures in Dependable Cyber-Physical Systems” on IEEE INDIN 2016 >> EXTENDED (FINAL) DEADLINE FEBRUARY 29, 2016 << >> LINK FOR SUBMISSION: http://vps.ieee-ies.org/submit-cgi-bin/authorlogin.pl?event=INDIN16 << >> Choose “SS Biologically Inspired Cognitive Architectures in Dependable Cyber-Physical Systems” as Technical Track when submitting your contribution. << IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS INDIN’16 18-21 JULY 2016, FUTUROSCOPE-POITIERS, FRANCE Special Session on “Biologically-Inspired Cognitive Architectures in Dependable Cyber-Physical Systems” Organized by IEEE Industrial Electronic Society. Technical Committee on Industrial Informatics. Sub-Committee on Bio-inspired industrial informatics Principal Organizer: Prof. Evgeny Osipov, Luleå University of Technology ———————————————————— INDIN 2016 (http://ieee-indin2016.sciencesconf.org/) is an IEEE International Conference on Industrial Informatics will be held on 18-23 July 2016, Futuroscope-Poitiers, France. The conference is sponsored by IEEE Industrial Electronics Society and Pprime Institute, Futuroscope-Poitiers, France. The proceedings are indexed by the Web of Science. Note that good quality papers may be considered for publication in IEEE Transactions on Industrial Informatics subject to further rounds of review. ———————————————————— Call for Papers Traditional computing architectures are designed to produce reliable systems with specifiable behaviours and properties. Their major strengths come from easiness of inspection, maintenance, interoperability, and reuse. However, all modern computing systems operate based on strict assumptions about their environments, thus are too inflexible to react to changing demands. In critical environments such as industrial automation, smart grids and dependable cyber-physical systems in general, this inflexibility results in serious in many cases life-critical errors. Alternative computing architectures, which greatly borrow their functionality from the versatility and efficiency of systems developed by nature, are known as biologically-inspired cognitive computing architectures (BICA). Traditionally these architectures find their applications in areas like natural language processing, image and speech processing. Very little attention so far was paid at exploring their applicability in the context of dependable industrial systems. This special session solicits contributions exploring diverse applications of BICA architectures for enriching intelligent functionality of industrial systems. Topics of interest include, but are not limited to: • Associative memory based reasoning • Combined machine learning / BICA solutions • Neural networks in cognitive computing architectures • Cognitive architectures for continuous signal processing • Cognitive fault detection and system identification • Cognitive and hybrid automatic control • Cognitive wireless communications • Symbiosis of cognitive and Von-Neumann computing architectures • Novel application areas and use-cases for BICA architectures in CPS and IoT. • BICA empowered software engineering • Spiking Neural Networks interfacing BICA architectures. Industrial usecases. -- Prof. Evgeny Osipov Dependable Communication and Computation Systems Department of Computer Science Electrical and Space Engineering Luleå University of Technology Tel. +46 920 49 15 78 Web. https://sites.google.com/site/evgenyosipov/

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Ph.D. and PostDoctoral positions on High-Performance Brain Simulations
by C. Strydis Feb. 2, 2016

Feb. 2, 2016

Dear all, Please find below new job postings in the field of High-Performance Brain Simulations https://www.hipeac.net/jobs/9011/one-phd-position-and-one-postdoctoral-posi… Please direct all queries and applications to: c.strydis(a)erasmusmc.nl Lab job listings at: www.erasmusbrainproject.com/index.php/workopen/positions Kind regards, Christos Strydis -- ============================== Christos Strydis, Ph.D. Assistant Professor Neuroscience Department Erasmus Medical Center Wytemaweg 80 (12th floor) Office Ee1210a 3015 CN Rotterdam Tel: +31 - 10 - 70 - 43294 Fax: +31 - 10 - 70 - 44734 E-mail: C.Strydis(a)erasmusmc.nl Web: www.erasmusbrainproject.com/index.php/strydis ==============================

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Postdoctoral position in computational neuroscience in New York
by Ruben Coen Cagli Feb. 1, 2016

Feb. 1, 2016

Postdoctoral position in the Coen-Cagli Laboratory Albert Einstein College of Medicine, New York, NY Start date August 2016 or later We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the laboratory of Ruben Coen-Cagli - Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (AECOM) in New York City (https://sites.google.com/site/rubencoencagli/<https://sites.google.com/site/rubencoencagli/>). Our lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images; models of selectivity and variability in large cortical populations; the behavioral consequences of neuronal variability; and uncertainty in visual and auditory perception. We combine theories of probabilistic neural coding, tools from computer vision and machine learning, eye-tracking experiments, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics. The lab features state of the art computing and eye-tracking facilities. Close interaction and collaboration with other members of the department is anticipated. Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research. Prior experience should include areas such as computational neuroscience, machine learning, computer vision, or statistics. Applicants should have a keen interest in interdisciplinary approaches to biological and neural systems. AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the AECOM, including benefits and housing for postdocs, can be found at https://www.einstein.yu.edu/research/belfer-institute/ The position starts in or after August 2016, and is funded for several years, with an initial one year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine, Inc. is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. ----------------- Ruben Coen-Cagli will be available at Cosyne to meet with candidates.

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Postdoctoral position in Computational Neuroscience at NYU-Shanghai
by Sukbin Lim Feb. 1, 2016

Feb. 1, 2016

Multiple postdoctoral positions are available in Sukbin Lim's lab at NYU-Shanghai as part of NYU’s global network and the NYU-ECNU Institute of Brain and Cognitive Science (https://shanghai.nyu.edu/research/brain) The overarching goal of our lab is to understand network interactions and dynamics in neuronal systems. In particular, our work is focused on investigating network mechanisms and synaptic plasticity for higher cognitive functions such as learning and memory. More information on the research can be found at http://shanghai.nyu.edu/research/brain/faculty/Sukbin-Lim. Environment: Institute of Brain and Cognitive Science at NYU-Shanghai is a multidisciplinary and collaborative research environment. Candidates will be encouraged to collaborate with experimental and computational groups at NYU and NYU-Shanghai, and will have the opportunities to spend time at NYU in New York in case of a collaboration between Shanghai and New York. The initial appointment is for 1 year, renewable up to 3 years subject to progress and globally competitive compensations will be provided. To Apply: Qualified applicants are expected to hold a PhD by the start date of the position in computational and theoretical neuroscience, or related discipline with a strong quantitative training in Mathematics, Physics, Computer Sciences and Engineering. Strong programming skills (e.g., Python, MATLAB or C/C++) and experience in modeling networks/complex systems will be highly valued. Knowledge of Neuroscience would be a plus. Applications will be reviewed until the position is filled. To be considered, please send a curriculum vitae, short research statement and the names and contact information of two references to *sukbin.lim(a)**nyu.edu <xinying.cai(a)nyu.edu>*.

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CfP: SASO 2016 - IEEE International Conference on Self-Adaptive and Self-Organizing Systems, September 12-16, Augsburg, Germany
by newsletter Jan. 31, 2016

Jan. 31, 2016

************************************************************************* CALL FOR PAPERS Tenth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016) Augsburg, Germany; 12-16 September 2016 http://uni-augsburg.de/saso2016 @SASO2016Conf ************************************************************************* Part of FAS* - Foundation and Applications of Self* Computing Conferences Co-located with: The International Conference on Cloud and Autonomic Computing (ICCAC 2016) http://iccac2016.se.rit.edu ------------------- Aims and Scope ------------------- The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks, and services based on self-adaptation and self-organization. The complexity of current and emerging networks, software, and services, especially when dealing with dynamics in the environment and problem domain, has led the software engineering, distributed systems, and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing such computing systems. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. They form the basis for many other self-* properties, such as self-configuration, self-healing, or self-optimization. Systems exhibiting such properties are often referred to as self-* systems. The tenth edition of the SASO conference embraces the inter-disciplinary nature and the scientific, empirical, and application dimensions of self-* systems and welcomes novel results on both self-adaptive and self-organizing systems research. The topics of interest include, but are not limited to: - Systems theory: theoretical frameworks and models; biologically- and socially-inspired paradigms; inter-operation of self-* mechanisms; - Systems techniques: techniques to specify and analyze self-* systems, like statistical physics, machine learning, multi-agent systems, or other novel techniques; - Systems engineering: reusable mechanisms, design patterns, architectures, methodologies; software and middleware development frameworks and methods, platforms and toolkits; hardware; self-* materials; governance of self-* systems, emergent behavior in self-* systems; - System properties: robustness, resilience, and stability; emergence; computational awareness and self-awareness; reflection; anti-fragility; - Cyber-physical and socio-technical systems: human factors and visualization; self-* social computers; crowdsourcing and collective awareness; human-in-the-loop; - Data-driven approaches: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage behavior of complex systems; - Education: experience reports; curricula; innovative course concepts; methodological aspects of self-* systems education; - Ethics and Humanities in self-* systems; - Applications and experiences with self-* systems in any of the following domains: + Smart-*: application of self-* principles to smart-grids, smart-cities, smart-environments, smart-vehicles + Industrial automation: embedded self-* systems, adaptive industrial plants, smart industries (Industry 4.0) + Transportation: autonomous vehicles, coordination between vehicles, pedestrians, and infrastructure, and traffic optimization + Unmanned systems: aerial vehicles, undersea vehicles, other robotic platforms + Internet of Things: challenges, applications, and benefits; self-* for network management, self-* applied to Cybersecurity We are looking for contributions that present novel theoretical or experimental results, novel design patterns, mechanisms, system architectures, frameworks or tools, or practical approaches and experiences in building or deploying real-world systems and applications. Contributions contrasting different approaches for engineering a given family of systems, or demonstrating the applicability of a certain approach for different systems, are equally encouraged. Likewise, papers describing substantial innovation or insights in the use and communication of self-* systems in the classroom are welcome. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. -------------------- Important Dates -------------------- Abstract submission: May 2, 2016 Paper submission: May 9, 2016 Rebuttal phase: June 16-20, 2016 Notification: June 23, 2016 Camera ready copy due: July 5, 2016 Conference: September 12-16, 2016 ---------------------------- Submission Instructions ---------------------------- Submissions can be up to 10 pages, formatted according to the standard IEEE Computer Society Press proceedings style guide, and submitted electronically in PDF format. Please register as authors and submit your papers using the SASO 2016 conference management system https://easychair.org/conferences/?conf=saso2016. The proceedings will be published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. Note that a separate Call for Poster and Demo Submissions will also be issued. As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We also highlight IEEE’s policies regarding plagiarism and self-plagiarism (http://www.ieee.org/publications_standards/publications/rights/ID_Plagiaris…) --------------------- Review Criteria --------------------- Papers should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. Both theoretical and empirical contributions should be highlighted, substantiated by formal analysis, simulation, experimental evaluations, comparative studies, and so on. Appropriate references must be made to related work. Because SASO is a cross-disciplinary conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Authors are also encouraged to submit papers describing applications. Application papers should provide an indication of the real world relevance of the problem that is solved, including a description of the deployment domain, and some form of evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome, especially if they highlight insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the SASO community. All submissions will be rigorously peer reviewed and evaluated on the basis of the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality. ------------------------------- Conference General Chair ------------------------------- Wolfgang Reif University of Augsburg, DE -------------------- Program Chairs -------------------- Giacomo Cabri, University of Modena and Reggio Emilia, IT Gauthier Picard, École Nationale Supérieure des Mines de Saint-Étienne, FR Niranjan Suri, Florida Institute of Human and Machine Cognition, FL, USA

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Postdoc position in large-scale neural modeling -- Eliasmith lab
by Peter Blouw Jan. 31, 2016

Jan. 31, 2016

In brief, the Eliasmith lab at the Centre for Theoretical Neuroscience has a position available for a 2-year postdoc. The focus is on large-scale spiking neural models that exhibit interesting behaviors and run on supercomputing infrastructure. "Interesting behaviour" is broadly defined, including vision, motor control, decision making, any variety of learning, audition, language processing, and so on. Full details below: *SOSCIP/IBM Canada Post-Doctoral Fellow (PDF) Research Scientist* Launched in 2012, SOSCIP was founded by seven Ontario universities and IBM Canada Limited as a collaborative research consortium, with a mandate to bring together academic researchers and small- and medium-sized companies to drive innovation using state-of-the-art advanced computing and big data analytics technologies, commercial outcomes for social and economic development in Ontario. New investments from IBM Canada and other stakeholders have enabled SOSCIP to expand its computing platforms and resources to increase capacity and add new members. With the addition of our three new academic partners, membership in the consortium has more than doubled over the last two years to 16 organizations. The IBM Canada Research & Development Centre is expanding, and we are seeking a post-doctoral fellow who has a PhD in Theoretical or Computational Neuroscience or a related field, with strong programming skills and experience in high-performance computing environments. This role will support a research project led by Dr. Chris Eliasmith in the Centre for Theoretical Neuroscience at the University of Waterloo. Dr. Eliasmith's lab constructs state-of-the-art, large-scale, neuron-level models of a wide variety of behaviours, recently publishing what remains the world's largest functional brain model, Spaun, in Science. These models are simulated in the software Nengo, which is able to run models on a wide variety of hardware platforms, or 'backends', including neuromorphic hardware. Recently, a backend for BlueGene/Q has been developed, allowing Nengo models, including Spaun, to run on the supercomputers housed at SOSCIP. The successful candidate will focus on scaling up models, including Spaun, to take full advantage of these hardware resources. Scaling will include developing theory and implementation of new behaviours, as well as increasing the biological fidelity of Nengo models. A strong publication record, with demonstrated applications of neural-level models to behaviour (e.g. vision, motor control, memory, decision making, etc.), neuron-level compartmental modeling, various applications of learning (deep learning, reinforcement learning, STDP, etc.), and large-scale modeling are greatly desired. Familiarity with Python, MPI, and Javascript would be beneficial. Education and Experience - PhD in Theoretical or Computational Neuroscience, or a related field - strong programming skills and experience in high-performance computing environments - experience working as part of a research team Work Location: Waterloo, Ontario Term of Contract: 2-years maximum IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Okinawa/OIST Computational Neuroscience Course 2016: one week left to apply
by Erik De Schutter Jan. 29, 2016

Jan. 29, 2016

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2016 Methods, Neurons, Networks and Behaviors June 13 - June 30, 2016 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 13th through June 30th, 2016 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 4 - February 5, 2016. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Erik De Schutter (OIST) • Sophie Deneve (École Normale Supérieure, France) • Kenji Doya (OIST) • Chris Eliasmith (University of Waterloo, Canada) • Tomoki Fukai (RIKEN BSI, Japan) • Michael Häusser (University College London, UK) • Yukiyasu Kamitani (ATR & Kyoto University, Japan) • Etienne Koechlin (École Normale Supérieure, France) • Bernd Kuhn (OIST) • Stefan Mihalas (Allen Institute for Brain Science, USA) • Partha Mitra (Cold Spring Harbor, USA) • Astrid Prinz (Emory University, USA) • John Rinzel (New York University, USA) • Yoko Yazaki-Sugiyama (OIST)

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Conference announcement: "The neuroscience of decision-making"
by Paul Cisek Jan. 28, 2016

Jan. 28, 2016

38th International Symposium of the GRSNC The neuroscience of decision-making May 2-3, 2016 Université de Montréal WEBSITE: <http://www.grsnc.umontreal.ca/38s/> http://www.grsnc.umontreal.ca/38s/ PROGRAM: <http://www.grsnc.umontreal.ca/38s/prog_e.html> http://www.grsnc.umontreal.ca/38s/prog_e.html REGISTRATION: <http://appl.grsnc.umontreal.ca/en/symposium/38s/registration.cfm> http://appl.grsnc.umontreal.ca/en/symposium/38s/registration.cfm POSTER: <http://www.grsnc.umontreal.ca/38s/38s_poster.pdf> http://www.grsnc.umontreal.ca/38s/38s_poster.pdf We are pleased to announce the 38th symposium of the Groupe de Recherche sur le Système Nerveux Central (GRSNC) which is entitled "The neurosciences of decision-making". This symposium will be held on May 2-3, 2016 at the Université de Montréal, Pavillon 3200 Jean-Brillant, room B-2245 and the organizers are Drs Paul Cisek (UdeM), Alain Dagher (McGill), Lesley Fellows (McGill), John Kalaska (UdeM) et Peter Shizgal (Concordia). Research on the neural bases of decision-making has experienced a rapid growth in the last 20 years. It addresses a great diversity of questions, ranging from how animals weigh the costs and benefits of different actions to what goes wrong when humans exhibit maladaptive behavior, such as in addiction. In this symposium, we will discuss cutting-edge research on this topic, reviewing the progress that has been made and addressing the central open questions facing this rapidly developing field. In planning the sessions, we have paid particular attention to issues that stretch from the most basic neuroscience all the way to clinical applications. We will highlight converging evidence from the full range of neuroscientific methods applied in this field, considered within a diversity of conceptual frameworks. There will be four sessions of presentations by invited speakers from around the world as well as two contributed poster sessions. The presentations are regrouped in for sessions: * Brain representations of value: Common or multiple (Chairperson: Peter Shizgal) * Encoding and learning values: Neural and computational mechanisms (Chairperson: Alain Dagher) * Decision in the wild (Chairperson: John Kalaska) * Diseases and deviances (Chairperson: Lesley Fellows) Lecturers: Joshua D. Berke, Thomas Boraud, Paul Cisek, Alain Dagher, Peter Dayan, Nathaniel Daw, Lesley Fellows, J. Randall Flanagan, Michael J. Frank, Karl Friston, Hugh Garavan, Paul W. Glimcher, Joseph Kable, Elizabeth A. Murray, Michael L. Platt, David Redish, Michael N. Shadlen, Peter Shizgal, Daphna Shohamy and Jonathan D. Wallis. Submissions are invited for poster presentations. The deadline for submission is March 31, 2016 We would appreciate if you could forward this message to colleagues and students. Manon Dumas for the organizing committee Groupe de recherche sur le système nerveux central (GRSNC) Université de Montréal Département de neurosciences Pavillon Paul-G.-Desmarais, bureau 4115 Courriel: <mailto:m.dumas@umontreal.ca> m.dumas(a)umontreal.ca Téléphone: (514) 343-6366 Télécopieur: (514) 343-6113

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Research Internship position at Numenta
by Subutai Ahmad Jan. 28, 2016

Jan. 28, 2016

RESEARCH INTERNSHIP POSITION IN COMPUTATIONAL NEUROSCIENCE AND MACHINE LEARNING NUMENTA, Inc. About Numenta: Numenta was founded in 2005 and is a leader in the emerging field of machine intelligence. Its biologically inspired technology is based on a detailed and evolving theory of the neocortex first described in co-founder Jeff Hawkins’ book, On Intelligence. The current technology can be applied to anomaly detection in servers and applications, human behavior, and geo-spatial tracking data. Numenta is focused on understanding the computational principles behind the cortex in detail, and implementing practical systems that operate on those principles. NuPIC, Numenta's open source code base, is one of the top three most active machine learning projects on Github. For more details, please see www.numenta.com Job description: The Research Group at Numenta is looking for outstanding MS or PhD students or other research scientists for a paid internship during the Spring, Summer or Fall 2016. We are looking for candidates with expertise in Machine Learning, Computational Neuroscience and/or Natural Language Processing. Preference given to candidates with experience in one or more of the following areas: sequence learning, natural language processing, neuron modeling, and computational models of cortex. Numenta's interns will get exposure to all aspects of Hierarchical Temporal Memory (HTM) learning algorithms, participate in leading edge research in computational neuroscience, and get full clearance to publish their work and research source code. The internship commitment is for 3 to 4 months full time (longer appointments up to one year may be possible). We are located in Silicon Valley (Redwood City, CA). What you can expect to learn and how you might contribute: - The challenges of designing and implementing detailed models of cortical function that can be applied to real-world problems - Gain experience solving hard problems in domains such as natural language processing, streaming analytics, sensorimotor inference, and/or reinforcement learning - Participate in designing functional models of Layers 2/3, 4, 5, and 6, thalamocortical circuits, feedback circuits, and sensorimotor processing - Learn how to contribute to a top open source project, and improve your software engineering skills - Obtain a detailed understanding of Hierarchical Temporal Memory Desired qualifications: - Currently enrolled in a PhD program, or a recent PhD graduate, or equivalent research experience - Strong research background in machine learning or machine intelligence - Strong research background in computational neuroscience - Excellent algorithmic problem solving skills, and the ability to implement solutions in Python, C/C++, Java, etc. - Established track record of publications in leading peer reviewed conferences and journals - Excellent programming skills - Working knowledge of HTM algorithms a plus - Excellent written and verbal communication skills, and the ability to work in a team oriented environment - A belief that the best way to build intelligent machines is to understand the cortex How to apply: Qualified applicants should send the following to interns(a)numenta.com: - Cover letter describing their specific interest in Numenta. Please include any relevant experience with HTM algorithms or NuPIC. - Resume or CV, including list of relevant courses and published papers. Numenta is an equal opportunity employer supporting workforce diversity. IMPORTANT NOTE: Numenta is unable to consider internship applications from international researchers unless they are US Citizens, hold a Green Card, or are currently enrolled in a US University and eligible for OPT.

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Postdocs integrated into the Human brain Project – specifically data-driven modeling at the subcellular or network levels, or tool development/support
by Jeanette Hällgren Kotaleski Jan. 28, 2016

Jan. 28, 2016

Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting postdocs to be working within the Human Brain Project. 1) Postdoc/application expert – specifically development of brain modeling tools: Specifically for the current position software applications providing user-friendly interface to cellular-level modelling tools will be developed, supported and used. These will include an optimization framework (for fitting electrical models of neurons to their observed electrical behaviour) and also a morphology pipeline (the tool used to analyse and validate neuron morphologies). More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… 2) Postdoc in computational systems (neuro)biology – specifically synaptic plasticity and neuromodulation: Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic signaling will be done. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… 3) Postdoc in brain simulations - specifically motor control and selection of behaviour: Specifically for the position, modeling of motor control and learning with basal ganglia as important components will be done. The modeling tools are mainly Nest and Neuron. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… All the best, Jeanette Hellgren Kotaleski Prof, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm

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Master in Brain and Cognition focus on Computational Neuroscience
by Ruben Moreno Bote Jan. 28, 2016

Jan. 28, 2016

Master in Brain and Cognition focus on Computational Neuroscience, Barcelona, Spain. Call for applicants. The Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona Spain (http://www.upf.edu/mbc/) opens the rolling application period (deadline is 26th of June 2016). The core of the master's programme is composed of the research groups at UPF's Center for Brain and Cognition (http://cbc.upf.edu) In this email, we emphasize the possibility of participation of outstanding candidates with strong quantitative background, such as physics, mathematics or machine learning eager to learn about computational neuroscience. Candidates with these backgrounds could perform research activity with the following experts in computational neuroscience: Gustavo Deco (http://cns.upf.edu/) Albert Compte (http://complab.fcrb.es/complab/pres) Rubén Moreno-Bote (https://portal.upf.edu/web/ruben-moreno-bote) Overall, the groups participating at the Master are directed by renowned scientists in areas such as computational neuroscience, cognitive neuroscience, psycholinguistics, vision, multisensory perception, human development and comparative cognition https://www.upf.edu/mbc/who_are_we2.html . Students will be exposed to the ongoing research projects at the Center for Brain and Cognition and will be integrated in one of its main research lines, where they will conduct original research for their final project. Please visit the Master’s web page or contact mbc(a)upf.edu for further information. Scientific-related questions such as fit of quantitative backgrounds can be consulted to Rubén Moreno-Bote, ruben.moreno(a)upf.edu -- Rubén Moreno Bote Serra Húnter Professor Dept. of Information and Communication Technologies University Pompeu Fabra La Nau building, office 51017 08018 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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Computational & Cognitive Neuroscience Summer School, in Shanghai
by Murray, John Jan. 28, 2016

Jan. 28, 2016

We are pleased to announce the 6th Computational and Cognitive Neuroscience (CCN) Summer School which will take place July 9-27, 2016, on the campus of NYU-Shanghai in Shanghai, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and other countries in the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental background are welcomed. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation, microcircuits and large-scale systems, to normative theoretical approach. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information is available on the CCN official website: www.ccnss.org<http://www.ccnss.org> Applications are being accepted now through the Cold Spring Harbor Asia website: http://www.csh-asia.org/2016meetings/s-cosyne16.html The application deadline is March 15. Organizers: - Xiao-Jing Wang (New York University) - Zach Mainen (Champalimaud Neuroscience Program) - Si Wu (Beijing Normal University) - Eric DeWitt (Champalimaud Neuroscience Program) - John D. Murray (Yale University) Lecturers: - Yang Dan (University of California, Berkeley) - Gustavo Deco (Universitat Pompeu Fabra) - Stanislas Dehaene (College de France) - Bob Desimone (Massachusetts Institute of Technology) - Michael Hausser (University College London) - Quentin Huys (University of Zurich) - Razvan Pascanu (Google) - Philip Sabes (University of California, San Francisco) - Mariano Sigman (Universidad Torcuato Di Tella) - Mike Shadlen (Columbia University) - Misha Tsodyks (Weizmann Institute) - Daniel Yamins (Stanford University) Feel free to direct any questions to: john.murray(a)yale.edu<mailto:john.murray@yale.edu>

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Postdoctoral research position at the University of Houston
by Kresimir Josic Jan. 27, 2016

Jan. 27, 2016

We are looking for a postdoctoral associate with a background in applied mathematics and/or computational neuroscience. The successful applicant will work with Krešimir Josić at the University of Houston and Zack Kilpatrick at the University of Colorado at Boulder. The goal of the project is to use linear response theory and its extensions to predict how patterns of activity and structure of neuronal networks co-evolve. This is a collaborative project with Brent Doiron (Pitt) and Eric Shea-Brown (UW, Seattle). This position is expected to run September 1, 2016 through August 31, 2018. Interested applicants can apply online at at the University of Houston jobs website: https://jobs.uh.edu/postings/28856 <https://jobs.uh.edu/postings/28856> Please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)math.uh.edu <mailto:zpkilpat@math.uh.edu>) if you have any questions. The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation, gender identity or gender expression.

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4th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2016)
by Daniel Wójcik Jan. 27, 2016

Jan. 27, 2016

4th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2016) Understanding neurons, cognition and behavior through neuroinformatics Place: Nencki Institute of Experimental Biology, and Faculty of Physics, University of Warsaw Warsaw, Poland Time: June 15-18, 2016 More information and applications at http://bit.do/bnni2016 Important dates: 21 February 2016 Application deadline 13 March 2016 Acceptance notification 15-18 June 2016 Summer School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2016 to be held at the Nencki Institute of Experimental Biology and the Faculty of Physics of the University of Warsaw. The course is interdisciplinary and covers modeling at different levels of organization of the brain, analysis of neural data, brain atlases, and other aspects of neuroinformatics. The course combines lectures, tutorials and computer exercises. This summer school is the fourth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, BNNI 2014 in Tampere, BNNI 2015 in Tartu). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in natural and life sciences, from physics, chemistry, mathematics, computer science, informatics and information technology, to biology, medicine, and psychology, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain are required to benefit from the school. Faculty includes Piotr Durka, University of Warsaw, Warsaw, Poland Gaute Einevoll, Norwegian University of Life Sciences, Aas, Norway Bruce Graham, University of Stirling, United Kingdom Marja-Leena Linne, Tampere University of Technology, Finland Szymon Łęski, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Ausra Saudargiene, Vytautas Magnus University, Kaunas, Lithuania Eleni Vasilaki, University of Sheffield, Sheffield, United Kingdom Daniel Wójcik, Nencki Institute of Experimental Biology, Warsaw, Poland Jarosław Żygierewicz, University of Warsaw, Warsaw, Poland Venue The lectures will be held at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences and the computer classes in the Faculty of Physics of the University of Warsaw. The two buildings are next to each other, they are located at the center of Ochota campus, encompassing a number of university departments and research institutes. Practical arrangements There is a small tuition fee of 100 euros. The organizers will provide teaching, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. Small financial support is available for those without funding. Inexpensive lodging for all the students will be organized. The course is supported by the IBRO-PERC committee, University of Warsaw, and the Nencki Institute We are looking forward to welcome you at the BNNI 2016 in Warsaw, Poland! -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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Announcement of job opening: Scientist (postdoctoral) position on analysis of Electron Microscopy datasets
by Nuno da Costa Jan. 26, 2016

Jan. 26, 2016

Dear Sir/Madam I would like to announce the following job opening in computational neuroscience mailing list POSITION SUMMARY We are seeking a neuroscientist to lead the effort in image processing , reconstruction and analysis of large scale Electron Microscopy datasets. The scientist will be an essential member of the Neural Coding team studying the relationship between neural circuits and neural dynamics by combining in vivo functional imaging with ex vivo state of the art Electron Microscopy. JOB RESPONSIBILITIES · Collaborate with others to develop a scalable and high throughput image processing pipeline for peta-scale Electron Microscopy datasets. · Collaborate with others to develop a workflow for morphological reconstruction of Electron Microscopy datasets. · Work closely with a team of anatomists, physiologists, theoreticians and modelers to analyze and interpret the relationship between structure and function in cortical networks. · Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS AND REQUIREMENTS · PhD in Computer Science, Neuroscience, Physics, Biology or related scientific field. (Required) · Excellent programming skills (Required) · A strong interest in understanding neuroanatomy and functional connectivity. (Required) · Experience with large scale datasets. (Preferred) · Experience with Electron Microscopy. (Preferred) Many thanks Nuno Nuno Macarico da Costa Assistant Investigator T: 206.548.8437 [cid:5047F5CE-4C9A-45E6-A13D-A46F96F5F6E6] www.alleninstitute.org<http://www.alleninstitute.org/>

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Sense 2 Synapse Conference, Saturday April 16, The Rockefeller University, New York City
by Christoph Kirst Jan. 26, 2016

Jan. 26, 2016

Dear all, *Sense 2 Synapse* is back and is going to be held on *Saturday, April 16* at *The Rockefeller University,**New York City*, Carson Family Auditorium this year Our confirmed keynote speakers are: *Jeffrey Holt (Harvard University) Vanessa Ruta (Rockefeller University) Anthony Zador (Cold Spring Harbor Laboratory) Mike Shadlen (Columbia University)* Sense to Synapse is an annual conference for scientists working on the biology of sensory transduction, subsequent neural processing and perception. Primary target audience are scientists from New York-tristate area (New York, New Jersey and Connecticut), but the event is open to everyone interested in sensory systems. Please save the date; registration will open soon on sense2synapse.com <http://sense2synapse.com>. Give a short talk, present a poster, or just come to network with other scientists. As usual we will have great food, coffee and science. Information on last years event can be found here: http://sense2synapse.com/html/about.html. We hope to see you there! Christoph Krist Tobias Bartsch Gonzalo Otazu (Organizing committee S2S 2016)

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Re: [Comp-neuro] Postdoctoral Position using High-Density Electrophysiology in Behaving Primates
by Nicho Jan. 26, 2016

Jan. 26, 2016

*Postdoctoral Position in Multi-Electrode Cortical Recording and Stimulation in Behaving Primates* A postdoctoral position is available in 2016 to investigate the neural basis of visuo-motor behavior.This project involves high density multi-electrode array recordings and stimulation from motor and premotor cortical sites in monkeys performing complex reaching and grasping movements.Experiments seek to investigate spatio-temporal patterning in single unit and local field potential activity that encodes different aspects of these movements.These experiments also seek to develop decoding algorithms for possible application in brain-machine interfaces.Facilities include a fully equipped electrophysiological laboratory with three 128-channel acquisition systems, a two-link exoskeletal robot, and a camera-based, motion capture system.Expertise in multi-electrode, behavioral electrophysiology is preferred.A strong mathematical, computational, or engineering background is also desirable.Applicants should send a CV and names and addresses of two or three references to Dr. Nicholas Hatsopoulos, Department of Organismal Biology & Anatomy, University of Chicago, 1027 East 57^th Street, Chicago, IL 60637 or by e-mail to nicho(a)uchicago.edu <mailto:nicho@uchicago.edu>.

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Postdoc position - human intracranial electrophysiology
by Brett Foster Jan. 25, 2016

Jan. 25, 2016

Postdoctoral position in human intracranial electrophysiology and memory – Department of Neurosurgery, Baylor College of Medicine (Houston). We invite applicants for a postdoctoral research position at Baylor College of Medicine in Houston, focused on studying human episodic memory using intracranial recordings. Specifically, the project will focus on tracking cortical dynamics during the encoding and retrieval of visual stimuli by combining human electrocorticography (ECoG) measurements with multivariate statistical techniques (e.g. machine learning). Applicants should have a PhD in cognitive/computational neuroscience with prior training in the recording and analysis of electrophysiological data. The successful applicant will have expertise in programming time series analysis and multivariate statistics (e.g. matlab/python/r). Previous experience with human intracranial data is ideal but not essential. The successful applicant will also have excellent standards of written English, and data presentation, as shown through previously published work. The position is available from June 2016, for an initial appointment of one year, with renewal subject to review. Salary will be consistent with NIH standards and level of experience. Applications will be accepted until the position is filled. Applicants should send a letter of interest, CV, and 2-3 letters of reference (all pdf) to Dr. Brett Foster: brett.l.foster(a)gmail.com Baylor College of Medicine is an Equal Opportunity, Affirmative Action and Equal Access Employer.

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ANNPR 2016: Call for Papers
by Dr. Schwenker Jan. 25, 2016

Jan. 25, 2016

**** Please apologize cross-postings. Call for Papers IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2016) September 28-30, 2016 Ulm University, Ulm, Germany ANNPR 2016 invites papers that present original work in areas of neural networks, machine learning and pattern recognition, focusing on both theoretical and applied aspects. Topics of interest include, but not limited to: Methodological Issues - Supervised learning - Unsupervised learning - Combination of supervised and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Kernel methods - Deep architectures Applications in Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimension reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics Important Dates Paper submission: May 4, 2016 Notification of acceptance: June 22, 2016 Camera ready due: July 6, 2016 Workshop: September 28-30, 2016 General Chairs Friedhelm Schwenker, Ulm University, Germany Hazem Abbas, German University of Cairo, Egypt Neamat El Gayar, Cairo University, Egypt Edmondo Trentin, University of Siena, Italy For more information, please visit us: http://neuro.informatik.uni-ulm.de/ANNPR2016/ -- Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Two fully funded PhD positions in Computational Neuroscience at Georgia State University
by Yaroslav Molkov Jan. 25, 2016

Jan. 25, 2016

Two fully funded doctoral student positions in computational neuroscience for the duration of up to four years with very competitive compensation are available in the Department of Mathematics and Statistics at Georgia State University. The successful candidates will work with Dr. Yaroslav Molkov and his collaborators on a number of projects including neural control of breathing and locomotion, motor control, body temperature control, etc. For more details, see https://sites.google.com/site/ymolkov/home. The University: http://www.gsu.edu Georgia State University is the Southeast's leading urban research institution. It is on the list of the top 100 public universities for doctoral degrees awarded. More than 250 fields of study are offered through some 55 accredited degree programs at the bachelor's, master’s, specialist and doctoral levels. Our student body is the best qualified and most diverse in our history. More than 40,000 students are seeking degrees at Georgia State, and more than 28,000 of them are on campus each semester. Students come to our campus from every county in Georgia, every state in the nation and 160 countries. The campus is located in the heart of downtown Atlanta. The Department: http://mathstat.gsu.edu Currently, the department has twenty seven tenured or tenure-track faculty members, fourteen lecturers and academic professionals, and about eighty graduate students. The Department’s faculty members are very active in research and publication. They regularly publish in top-ranked journals, more than 1/3 of the research faculty members are supported by various federally funded grants, and several members have been serving on editorial boards of journals. They have been directing PhD dissertations and MS theses within the department, joint with other departments of the College of Arts and Sciences, and in conjunction with other universities. Please apply at http://cas.gsu.edu/graduate-studies/admissions/ For additional information, contact Dr. Molkov or Dr. Florian Enescu, Graduate Director, Tel: (404) 413-6442, Email: fenescu(a)gsu.edu. ================================= Yaroslav Molkov, PhD Associate Professor Department of Mathematics & Statistics Georgia State University 30 Pryor St SW, Atlanta, GA 30303, Room 722 Phone: (404) 413-6422 Email: ymolkov(a)gsu.edu

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Real World Eye Tracking Course
by Durant, Szonya Jan. 25, 2016

Jan. 25, 2016

Real World Eye Tracking Course An introductory course to using eye tracking in real world situations Organized jointly by Acuity Intelligence Ltd. and Dept. of Psychology, Royal Holloway, University of London Systems used in mini-projects: Tobii Glasses 2, TX300, SMI eye tracking glasses Software used: Tobii Studio, Tobii Glasses 2 software, SMI iView, BeGaze Further possible system demonstrations: Ergoners Dikabils, EyeLink Course outline: https://www.royalholloway.ac.uk/psychology/documents/pdf/course-outline.pdf<https://www.royalholloway..ac.uk/psychology/documents/pdf/course-outline.pdf> Further details: https://www.royalholloway.ac.uk/psychology/documents/pdf/further-details.pdf Course dates: 9.30am 25 April - 5.30pm 26 April 2016 Department of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, United Kingdom Prices: Industry £800, HEI staff £400, Postgraduate students £80 (participants can be based in any country) Deadline for registration: 1 Feb 2016 Link for registration: http://onlinestore.rhul.ac.uk/browse/category.asp?compid=1&modid=1&catid=643<http://onlinestore..rhul.ac.uk/browse/category.asp?compid=1&modid=1&catid=6…> Contact: sales(a)acuity-intelligence.com<mailto:sales@acuity-intelligence..com> ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522 ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Announcing: Computational Approaches to Memory and Plasticity summer course, July 2016
by U.S.Bhalla Jan. 25, 2016

Jan. 25, 2016

CAMP@Bangalore 2016 will run from 1 July to 16 July 2016. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. There is a special emphasis on multiscale phenomena in learning and memory: How do molecular, electrical, and network levels of computation come together to give memory? The course will start with remedial tutorials on neuroscience / math / programming and then work upwards from sub-cellular electrical and chemical signaling in neurons, and onward to micro-circuits and networks. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Last date for applications: 21 February 2016. Instructors include: Tomoki Fukai, (RIKEN BRAIN SCIENCE INSTITUTE, Japan) Alain Destexhe (CNRS, France) Misha Tsodyks (Weizmann Institute, Israel) Upinder Bhalla (NCBS, Bangalore) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Arvind Kumar (KTH, Stockholm) Sumantra Chattarji (NCBS, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Raghav Rajan (Indian Institute of Science Education and Research, Pune) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore)

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Postdoctoral position in computational neuroscience at Harvard
by Jan Drugowitsch Jan. 25, 2016

Jan. 25, 2016

*Postdoctoral position in the Drugowitsch Lab in computational neuroscience* *Location*: Harvard Medical School, Boston, MA *Start*: May 2016 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School ( http://neuro.hms.harvard.edu/people/faculty/jan-drugowitsch) The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. The candidate is expected to perform research related to these topics. Close interaction and collaboration with other members of the department is anticipated. Candidates should have a strong analytical background (e.g., computational neuroscience, physics, mathematics, engineering, etc.) and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Previous experience should include sufficient programming skills to run numerical simulations, Bayesian methods, and expertise in the analysis of dynamical systems. The position starts in or after May 2016, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch(a)hms.harvard.edu. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Jan Drugowitsch will be available at the Cosyne conference and workshops for question about the position.

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