- Comp-neuro - lists.cnsorg.org

High performance environment for collaborative neuroscience research
by Ted Carnevale Feb. 28, 2016

Feb. 28, 2016

Please accept our apologies if you have already received a similar message from another source-- Dear colleague: We are trying to gauge the interest among the neuroscience community in a collaborative environment that provides secure data storage and sharing, combined with high performance computing resources like those offered by NSG*. We would greatly appreciate your participation in this survey https://docs.google.com/forms/d/1vY7xXaeXFDb63EbgmgvQ7ZbUNpIopvh6UuTpwYeDmz… which will take about 10 minutes to complete. Please feel free to bring this to the attention of your collaborators or students who might also be interested. Ted Carnevale, Neuroscience Department, Yale University Amit Majumdar, San Diego Supercomputer Center, UCSD *--NSG is the Neuroscience Gateway https://www.nsgportal.org which provides free supercomputing cycles to neuroscientists for using tools such as NEURON, Brian, GENESIS, MOOSE, NEST, PyNN, and FreeSurfer.

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ICANN 2016 Barcelona - EXTENSION of the Last Call for contributions
by Antonio Javier Pons Rivero Feb. 28, 2016

Feb. 28, 2016

*EXTENSION of t**he **Last Call**for Oral Presentation, Poster Presentation and/or Full **P**aper Contribution* *www.icann2016.org* *ICANN 2016 * 25th Annual Conference on Artificial Neural Networks BarcelonaTech (UPC), Barcelona, Spain 6 - 9 September 2016* Special event*: ENNS 25th Anniversary ============================================================ /The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2016 the Universitat Politècnica de Catalunya (BarcelonaTech) will organis//e the 25th ICANN Conference from //the //6th to //the //9th //of //September 2016 in Barcelona, Spain, in collaboration with the Universit//at//Pompeu Fabra (UPF)./ *INVITED KEYNOTE SPEAKERS* 1. *Wlodek Duch *(Nicolaus Copernicus University, Torun, Poland) 2. *Erkki Oja *(Aalto University, Helsinki, Finland) 3. *Joaquin Fuster *(University of California at Los Angeles, USA) 4. *Murray Shanahan* (Imperial College London, UK) 5. *Günther Palm*(University of Ulm, Germany) 6. *Stephen Coombes *(University of Nottingham, UK) 7. *Etienne Koechlin*(Pierre and Marie Curie University, France) *IMPORTANT DATES* */EXTENDED Submission of abstracts and papers: /**1 April 2016 **//EXTENDED /Submission of /**/d/**/emonstration proposals: /**1 April 2016 */Notification of acceptance:/8 May 2016 /Camera-ready paper and registration: /15 May 2016 /Conference dates:/6-9 September 2016 *CONFERENCE TOPICS* ICANN 2016 will feature the main tracks /Brain Inspired Computing/ and /Machine Learning Research/, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: * Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. * Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. * Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *** CONFERENCE REGISTRATION FEE**S* Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim to fully implement the academicnot-for-profit policy. Undergraduate students (Bachelor and Master level): 90 EUR PhD Students: 200 EUR Regular delegates: 250 EUR *ENNS members have a reduction of 40 EUR* Students can apply for ENNS funded travel grants to attend (see the conference website). *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2016 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and with a 2-hour presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of a maximum length of 8 pages.Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract. The abstracts will be published all together in a proceedings section without an author index. In case of programme constraints the priority will be given to original contributions accompanied by a full paper submission. Submission of communications will be online. More details are available on the conference website (http://icann2016.org/index.php/contributors/submission) *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awardees will be presented during the final ceremony. *ORGANISATION** General Chair:*/ Antonio J. Pons Rivero/(UPC Barcelona, Spain)* Local**co-Chairs:* /Jordi Garcia-Ojalvo/(UPF Barcelona, Spain), /Paul Verschure/(UPF Barcelona, Spain) *Organising Committee Chairs:*/ Daniel Malagarriga/(UPC Barcelona, Spain), /Lara Escuain/(UPC Barcelona, Spain), /Caroline Kleinheny/(ENNS Lausanne, Switzerland) *Honorary Chair: *Alessandro E. P. Villa * Communication* *Chair:*/ Paolo Masulli/(ENNS Lausanne, Switzerland) *********************************************** Antonio J. Pons Rivero General Chair of ICANN 2016 Terrassa School of Industrial and Aeronautical Engineering (ETSEIAT) Nonlinear dynamics, nonlinear optics and lasers Group BarcelonaTech (UPC) Edifici GAIA Rbla. Sant Nebridi, 22 08222 Terrassa, Spain Caroline Kleinheny Secretary of the European Neural Network Society University of Lausanne Internef 137k, Quartier UNIL Dorigny 1015 Lausanne, Switzerland ***********************************************

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CNS*2016 Abstract Deadline extension to March 6, 2016
by Tam, Nicoladie Feb. 27, 2016

Feb. 27, 2016

Abstract Deadline extension to March 6, 2016 This is one and only extension of the abstract submission CNS*2016 Call for Abstracts Organization for Computational Neurosciences (OCNS) 25th Annual Meeting Jeju, South Korea July 2-7, 2016 The main meeting (July 3-5) will be preceded by a day of tutorials (July 2) and followed by two days of workshops (July 6-7). Invited Keynote Speakers: * Nicolas Brunel, University of Chicago, USA * Alain Destexhe, CNRS, France * Mitsuo Kawato, Advanced Telecommunications Research Institute (ATR), Japan * Tatyana Sharpee, Salk Institute, USA Abstract submission<https://ocns.memberclicks.net/cns-2016-abstract-submission> deadline extension: March 6, 2016, 11 pm, Pacific Time, USA Travel award<http://www.cnsorg.org/cns-2016-travel-awards> application deadline extension: March 6, 2016 Apply for membership<http://www.cnsorg.org/join-ocns> by March 1, 2016 to ensure the member registration rate for your abstract submission Workshop proposals<http://www.cnsorg.org/cns-2016-call-for-workshops> are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit: http://www.cnsorg.org/cns-2016

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Postdoctoral position in Multisensory perception and action at New York University Abu Dhabi
by Robert Volcic Feb. 26, 2016

Feb. 26, 2016

The Psychology Department at New York University Abu Dhabi is inviting applications for a fully funded postdoctoral associate position in the area of Psychology with interests in human perceptual and motor systems. The postdoctoral associate will work under the supervision of Dr. Robert Volcic (http://volcic.github.io) and will carry out behavioral studies on human multisensory perception (mainly vision and touch) and action (reaching and grasping). The lab will be equipped with a state of the art system for 3D visualization, a head tracking system, and a motion capture system for monitoring reaching and grasping movements. Moreover, the postdoctoral associate will have access to an eye movement tracker, and to fMRI and EEG facilities. Applicants must hold (or be close to completing) a Ph.D. in Psychology, Cognitive Science, Neuroscience, Biology, or related fields. Prior experience in vision/haptic/motor research is important as is programming efficiency. Applications will be accepted immediately and will be considered on a rolling basis. Please visit our website at http://nyuad.nyu.edu/about/careers/faculty-positions.html for instructions and information on how to apply. To be considered, all applicants must submit a cover letter, a curriculum vitae with full publication list, a statement of research interests, representative publications, expected date of availability, and names of two referees, all in PDF format. If you have any questions, please e-mail robert.volcic(a)nyu.edu. The preferred start date is September 1st, 2016. A later start date is possible based on the needs of the applicant. The duration of employment is for two years with the possibility to renew. This position is based in Abu Dhabi (U.A.E.). The terms of employment are competitive and include housing and other benefits. About NYUAD: New York University has established itself as a Global Network University, a multi-site, organically connected network encompassing key global cities and idea capitals. The network has three foundational degree-granting campuses: New York, Abu Dhabi, and Shanghai, complimented by a network of eleven research and study-away sites across five continents. Faculty and students will circulate within this global network in pursuit of common research interests and the promotion of cross-cultural and interdisciplinary solutions for problems both local and global. Entering its sixth year, NYU Abu Dhabi has recruited a cohort of faculty who are at once distinguished in their research and teaching. Our students are drawn from around the world and surpass all traditional recruitment benchmarks, both US and global. NYU Abu Dhabi’s highly selective liberal arts enterprise is complimented by an institute for advanced research, sponsoring cutting-edge projects across the Arts, Humanities, Social Sciences, Sciences, and Engineering. EOE/Minorities/Females/Vet/Disabled

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CoSMo 2016 registration open
by Gunnar Blohm Feb. 26, 2016

Feb. 26, 2016

*Sixth Annual Computational Sensory-Motor Neuroscience Summer School (CoSMo 2016)* University of Minnesota, Minneapolis, MN, USA July 31 - August 14, 2016 We would like to invite you to join us for the sixth annual Computational Sensory-Motor Neuroscience Summer School. The course is about experimental, computational and medical aspects of sensory-motor neuroscience with a focus on active learning. Covered topics include multi-sensory integration, motor learning & control, computational methods, sensory-motor transformations and neural coding / decoding. An important focus is on doing research as opposed to just hearing about it. Each teaching module will take up two days with morning lecture sessions. Afternoon sessions involve hands-on Matlab programming, simulation and data-analysis. Newly acquired computational tools can also be applied in 2-week evening group research projects. The course is aimed at students and post-doctoral fellows from diverse backgrounds including Life Sciences, Psychology, Computer Science, Physics, Mathematics and Engineering. Basic knowledge in calculus, linear algebra and Matlab is expected. Enrollment will be limited to 40 trainees. *Application deadline: Apr 11, 2016* For more information and to apply, please go to <http://www.compneurosci.com/CoSMo/>http://www.compneurosci.com/CoSMo/ Scholarship information and the application form can be found here: http://www.compneurosci.com/CoSMo/application.html The school is co-organized by Drs Gunnar Blohm, Paul Schrater, and Konrad Körding. This year, it receives funding from the NIH through a Brain Initiative R25 grant and from The Brain Canada Foundation. -- ------------------------------------------------------- Dr. Gunnar BLOHM Associate Professor in Computational Neuroscience Association for Canadian Neuroinformatics and Computational Neuroscience (CNCN) Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen’s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

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Neuroimaging Data Analyst Position at the University of Illinois at Chicago (Summer/Fall 2016)
by Sylvia Morelli Feb. 25, 2016

Feb. 25, 2016

Drs. Sylvia Morelli and K. Luan Phan are considering applications for a neuroimaging data analyst to work jointly in the Empathy and Social Connection Lab (http://www.morellilab.com/ <http://www.morellilab.com/>) and the Mood and Anxiety Disorders Research Program (http://www.psych.uic.edu/research/mood-and-anxiety-disorders-research-progr… <http://www.psych.uic.edu/research/mood-and-anxiety-disorders-research-progr…>) at University of Illinois at Chicago. The data analyst will have the opportunity to analyze several data sets related to social cognitive affective neuroscience (e.g., empathy, social networks, reward learning, decision-making, emotional processing and regulation, fear learning and extinction) in healthy and psychiatric populations (e.g., anxiety and depression), as well as pharmacotherapy and psychotherapy treatment response. The analyst will implement the latest approaches developing in the field of imaging neuroscience — including but not limited to pattern classification, prospective prediction, machine learning, effective connectivity, connectomics/graph theory, computational modeling – and train others (faculty, postdocs, graduate students) on conventional and new analysis techniques. The position will involve analyzing data across multiple modalities including self-report, behavior, psychophysiology (SCR, startle), EEG/ERP, DTI, structural MRI and functional MRI – at single-unit and integrated levels. The data analyst will work amongst diverse investigators across disciplines (e.g., neuroscience, psychology, psychiatry). Successful applicants will have a Masters- or PhD-level degree in neuroscience, psychology, computer science, statistics/biostatistics or mathematics and/or a record of extensive experience in analyzing structural and functional MRI data. Applicants should also be fluent in SPM (or AFNI/BrainVoyager), statistical packages (e.g., Matlab and R), and programming languages (e.g., Unix). Excellent communication (verbal and written) and organizational skills are required. The position will be fully funded for at least 2 years with the potential for a longer-term position. We will review applications beginning March 1, until the position is filled. Applicants should send a CV, a statement describing their qualifications for the position and relevant experience, and the names of 2-3 references that may be contacted for a recommendation to Dr. Morelli (smorelli(a)uic.edu <mailto:smorelli@uic.edu>) and Dr. Phan (klphan(a)psych.uic.edu <mailto:klphan@psych.uic.edu>).

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2 Postdoc positions in modeling dendritic integration and synaptic plasticity
by Walter Senn Feb. 25, 2016

Feb. 25, 2016

Dear Colleagues, dear all, We are inviting applications for 2 postdoc positions (for at least 2 years, earliest start April 1, 2016) in computational neuroscience at the University of Bern, Switzerland. Our research is devoted to models of synaptic plasticity and dendritic integration that serve as a computational paradigm for learning in neuronal networks. We have recently suggested to consider “Learning by the dendritic prediction of somatic spiking” (Neuron 2014) that assigns an intrinsic computational task to neurons and dendrites. This concept will be extended by including dendritic nonlinearities and considering networks of such neuronal prediction elements. The 2 positions are: 1) Postdoc for modeling dendritic integration. We have shown how the error-backpropagation algorithm translates to a dendritic tree that displays NMDA-spikes in individual dendritic branches (PLoS Comp Biol 2016). Along these ideas a biophysical model of dendritic integration will be worked out that makes also contact to Bayesian integration. 2) Postdoc for modeling synaptic plasticity and learning in networks. The neurons as intrinsic prediction elements will be connected to form a network that mimics various learning tasks and that is particularly suited for imitation learning. You will profit from generous travel funding and from collaborations in- and outside the Human Brain Project, and you will also enjoy the beautiful city and surrounding of Switzerland’s capital. Ideal candidates have a strong background in computational neuroscience and machine learning. Please send CV, letter of motivation, and publication list by March 11 to Walter Senn (senn(a)pyl.unibe.ch) and Sabine Herzog (herzog(a)pyl.unibe.ch) With best wishes Walter Senn PS: For recent work of our group see http://www.physio.unibe.ch/~senn/neuroscience.aspx

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Call for Applications: Paul J. Salem Postdoctoral Scholars in Computational Brain Science – Brown Institute for Brain Science
by Michael J Frank Feb. 25, 2016

Feb. 25, 2016

The Brown Institute for Brain Science Initiative for Computation in Brain and Mind <http://compneuro.clps.brown.edu> is seeking applicants for the Paul J. Salem Postdoctoral Scholarships in Brain Science. The postdoctoral scholars will lead an exciting new project at the interface between machine learning and neuroscience. In particular, we are looking for computational neuroscientists interested in the application and development of novel machine learning methods for the analysis of neural recordings. Candidates are expected to have a solid background in modern machine learning and signal processing as well as demonstrated interest in experimental neuroscience. In addition, to conducting primary research with large neural data sets, candidates will be involved in the mentoring of students, and the organization of workshops. Candidates are expected to interact closely with the Neurotechnology group within the Brain Institute. The initial appointment is for 12 months with the potential to renew. The salary is competitive. The start date is negotiable although funding is available now. Research group: *The Initiative for Computation in Brain and Mind (ICBM;* <http://compneuro.clps.brown.edu>http://compneuro.clps.brown.edu) which began Fall 2013 within the Brown Institute for Brain Science, creates an exciting intellectual environment that fosters synergistic collaborations across departments. Groups affiliated with the initiative work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. ICBM has 16 core computational faculty (http://compneuro.clps.brown.edu/people/) spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. Computational neuroscience tools at Brown have been applied in projects including brain-machine control of robotic arms in paralyzed humans; models of visual systems in biological organisms and their innovative application for classifying animal behavioral patterns; predicting and quantifying effects of genetics, disease, medications, and brain stimulation on motor and cognitive function; identification of the source of neural rhythms and their roles in sensorimotor function; development of fundamental theories of brain plasticity, and learning; state-of-the art models of machine learning and reinforcement learning in computer science. The Brown Institute for Brain Science (BIBS) advances multidisciplinary research, technology development, and training in the brain sciences. BIBS unites more than 100 faculty from departments across Brown, spanning basic and clinical departments, and physical and biological sciences. BIBS creates opportunities and essential support to advance interdisciplinary research efforts among these groups including training funds to support interdisciplinary scholarship and research. Requirements: Candidates must have received their PhDs within 3 years of the application deadline, and will work under the supervision of faculty members at Brown University who are affiliated with the Initiative for Computation in Brain and Mind. They must have a strong background in computational neuroscience and machine learning, with a track record of relevant publications at top venues (such as NIPS or ICML). Excellent programming skills are required (C/C++/Matlab/Python). Application: Please send your applications by email to cbm-info(a)brown.edu. Please include a brief statement of interests, a curriculum vitae, a list of publications and 2-3 letters of reference (addressed directly to cbm-info(a)brown.edu) There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. ------------------------------ Michael J Frank, PhD, Professor Laboratory for Neural Computation and Cognition Brown University http://ski.clps.brown.edu (401)-863-6872

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[IEEE ICCI*CC'16:] RE: IEEE ICCI*CC'16 Update
by Yingxu Wang Feb. 24, 2016

Feb. 24, 2016

Dear Colleague, The 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'16) will be held at Stanford University, CA, USA during Aug. 22-23, 2016 (http://www.ucalgary.ca/icci_cc/iccicc-16) The IEEE ICCI*CC series is a flagship conference of its field sponsored by IEEE Computer, Computational Intelligence, and SMC Societies. It forms a transdisciplinary field that studies the internal information processing mechanisms of the brain, the underlying abstract intelligence (aI) theories and denotational mathematics, and their engineering applications in cognitive computing, computational intelligence, and cognitive systems. Paper submission is via Easy Chair at: https://www.easychair.org/conferences/?conf=iccicc2016. Submission deadline is approaching on Feb. 29, 2016. Special session papers may get a grace period by coordination of the session chairs. The conference will be featured by a number of keynote speeches that highlight the cutting-edge theories and novel technologies for cognitive systems and computational intelligence inspired by the brain such as: a) Natural Language Understanding vs. Natural Language Precisiation Prof. Lotfi A. Zadeh, UC Berkeley, USA b) Hebbian Learning and the LMS Algorithm Prof. Bernard Widrow, Stanford \university, USA c) Deep Learning and Deep Thinking by Cognitive Robots and Computational Intelligent Systems Prof. Yingxu Wang, University of Calgary, Canada You are welcome to submit a paper to IEEE ICCI*CC'16 or to organize a special session related to the theme of the conference. The Proceedings of ICCI*CC'16 will be published by IEEE CS Press and indexed by EI, DBLP, and IEEE eXplore. Selected papers from the proceedings will be published in leading international journals and IEEE transactions. We look forward to having an opportunity to meet you at IEEE ICCI*CC'16. Best regards, Prof. Yingxu Wang IEEE ICCI*CC'16 Co-Chair _______________________________________________ This message was sent to all subscribers of ieeeicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: ieeeicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

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1st Call for Abstracts: the 8th Int'l Workshop on Guided Self-Organization (GSO-2016, Cancun, Mexico, 7 July 2016)
by Joseph Lizier Feb. 24, 2016

Feb. 24, 2016

Dear All, This is an announcement and Call for Abstracts for the Eighth International Workshop on Guided Self-Organization (GSO-2016) to be held on July 7, 2016 at ALIFE XV in Cancun, Mexico: http://guided-self.org/gso8/ The GSO Workshop will bring together invited experts and researchers in self-organizing systems, with particular emphasis on the information- and network-theoretic foundations of GSO and the information dynamics of complex systems. The following topics are of special interest: information-theoretic measures of complexity, nonlinear dynamics, complex networks, information-driven self-organization (IDSO), applications of GSO to complex networks, distributed computation, machine learning, swarm intelligence, bio-inspired systems, computational neuroscience, systems biology, cooperative and modular robotics, etc. Submissions to the workshop are extended abstracts (one page). If interested in participating, please send an extended abstract (by May 29, 2016) by email to: prokopenko.mikhail(a)gmail.com The notifications are expected by June 10, 2016. Authors of accepted submissions will present the content to the workshop. We expect that selected papers of GSO-2016 will be published in a special issue (research topic) of Frontiers of Robotics and AI, or Artificial Life journals. Please consult above website for more information. Best wishes, Mikhail Prokopenko Carlos Gershenson Daniel Polani <apologies for possible cross-posting>

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