- Comp-neuro - lists.cnsorg.org

Postdoctoral Position in Robust Intelligence / Theoretical Neuroscience
by Stepanyants, Armen Feb. 11, 2016

Feb. 11, 2016

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 available immediately. The successful candidate will work on NSF and AIR FORCE sponsored projects aimed at creating a theoretical framework for the analysis of the effects of learning and robust memory storage on synaptic connectivity in local cortical circuits. 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 statistical physics, machine learning, 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. We offer competitive starting salary, $45-55K/year, and comprehensive benefits package. The initial appointment is for one year with the possibility of renewal on a yearly basis. Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. More information can be found on 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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FINAL CALL FOR WORKSHOP PROPOSALS: VECPAR 2016 - High Performance Computing for Computational Science
by Carlos Ferreira Feb. 10, 2016

Feb. 10, 2016

------------------------------------------------------------------------------------------ CALL FOR WORKSHOP PROPOSALS 12th International Meeting on High-Performance Computing for Computational Science (VECPAR 2016) University of Porto, Porto, Portugal June 27 - 30, 2016 http://vecpar.fe.up.pt/2016/ ------------------------------------------------------------------------------------------- As part of the 12th VECPAR International Meeting on High Performance Computing for Computational Science, we are seeking proposals for affiliated workshops. The workshops should be focused in fresh topics related to parallel and distributed computational science, from theory to practice, where new ideas, subjects, open problems and works on progress can be discussed and explored. The accepted workshops will be held on 1st of July 2016 and may be organized as half- or full-day. IMPORTANT DATES Deadline for workshop proposals: February 15th, 2016 Notification of acceptance: February 19th, 2016 Deadline for paper submission: To be defined by the chairs Author notification: To be defined by the chairs Camera-ready version of papers: May 15th, 2016 PROPOSALS GUIDELINES Workshop title and acronym; Workshop description (150-200 words) to be included in the VECPAR website; Name and short bio of the workshop proponents; A list of the tentative program committee. Responsibilities of the Workshop Chairs: Prepare a dedicated call for papers; Maintain the workshop website; Define the workshop program committee; Select the papers by a peer review process. PROCEEDINGS The papers of the workshops will be published under the Springer LNCS series. The authors may be asked to revise the paper after the conference in order to meet the series requirements. BUDGET VECPAR 2016 will not pay for travel or other arrangements for workshop organizers or any of their invited guests. HOW TO SUBMIT The workshop proposals should be sent by email to the Workshops Chair: João Manuel R. S. Tavares Faculty of Engineering of the University of Porto, Portugal tavares(a)fe.up.pt Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt<http://www.isep.ipp.pt>

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REMINDER: Call for Workshops - Bernstein Conference 2016
by Philipp Hoevel Feb. 10, 2016

Feb. 10, 2016

The Bernstein Network Computational Neuroscience and the Bernstein Center Berlin invite proposals for Satellite Workshops directly preceding the Bernstein Conference 2016 in Berlin. ********************************************************************************** Call for Workshop proposals: Workshops: September 20-21, 2016 Main Bernstein Conference: September 21-23, 2016 Deadline for proposal submission: March 18, 2016 Notification of acceptance: April 22, 2016 Conference Registration starts: May 2, 2016 Early Registration Deadline: July 24, 2016 ********************************************************************************** The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Since 2013, the Bernstein Conference hosts pre-conference workshops, which have developed swiftly into a well-attended event. They supply a stage to debate topical research questions and challenges in Computational Neuroscience and related fields, different points of view and scientific approaches in an informal setting. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged, and formats are expected that foster debate beyond a mere series of talks. SCHEDULE: September 20, 2016, 14:00 - 18:30. September 21, 2016, 9:00 - 12:30. You may apply for either half-day or full-day workshops. WORKSHOP COSTS: The Bernstein Conference does not provide financial support, but workshop organizers and speakers are offered free workshop registration. Organizers get a waiver for the main conference fee. For further information about the conference, please visit the conference website<http://www.bernstein-conference.de>. DETAILS FOR WORKSHOP PROPOSALS: The Workshop Proposal form can be downloaded here: <http://www.nncn.de/de/bernstein-conference/2016/satellite-workshops>. Deadline for submission of Workshop Proposals: March 18, 2016 CONTACT: <bc16_ws(at)bccn-berlin.de> We are looking forward to welcoming you in Berlin! The program committee ------------------------------- Michael Brecht Gustavo Deco Alain Destexhe Sophie Deneve Udo Ernst Adrienne Fairhall Sonja Grün John-Dylan Haynes Andreas Herz Philipp Hövel Richard Kempter Klaus Obermayer Stefan Rotter Susanne Schreiber Henning Sprekeler

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Feb. 15 Application Deadline - 2016 Nengo Summer School
by Peter Blouw Feb. 10, 2016

Feb. 10, 2016

[All details about this school can be found online at http://www.nengo.ca/ summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is inviting applications for our 3rd annual summer school on large-scale brain modeling. This two-week school will teach participants how to use the Nengo software package to build state-of-the-art cognitive and neural models to run in simulation and on neuromorphic hardware. Nengo has been used to build what is currently the world's largest functional brain model, Spaun [1], and provides users with a versatile and powerful environment for designing cognitive and neural systems to run in simulated and real environments. We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals. No specific training in the use of modeling software is required, but we encourage applications from active researchers with a relevant background in psychology, neuroscience, cognitive science, robotics, neuromorphic engineering, computer science, or a related field. For a look at last year's summer school, check out this short video: https://goo.gl/wy4dNC [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://nengo.ca/publications/spaunsciencepaper] ****Application Deadline: February 15, 2016**** *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! *Topics Covered*: Participants will have the opportunity to learn how to: - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with various kinds of neuromorphic hardware (e.g. SpiNNaker) - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more… *Date and Location*: June 5th to June 17th, 2016 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ca/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (pblouw(a)uwaterloo.ca) We look forward to hearing from you!

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DENDRITES 2016, June 18-21, Crete: SECOND CALL FOR ABSTRACTS & REDUCED STUDENT FEES
by Yiota Poirazi Feb. 9, 2016

Feb. 9, 2016

Please post this announcement on the comp-neuro list. many thanks! Yiota Poirazi * ---------------------------------- EMBO Workshop on Dendritic Anatomy, Molecules and Function (DENDRITES 2016)* Heraklion, Crete, Greece June 18-21, 2016 http://dendrites2016.gr/ <http://www.dendrites2016.gr/> info(a)dendrites2016.gr <mailto:info@dendrites.gr> _Organizers:_ Yiota Poirazi, IMBB-FORTH Michael Hausser, UCL * * Matthew Larkum, Humboldt University Dear Colleagues, We are happy to announce *reduced registration fees* for students attending DENDRITES 2016: 150 Euro until March 31st. We would also like to remind you that abstracts for poster and oral presentation *are due by* *February 15th, 2016. * Notifications will be provided by February 29th, 2016. We welcome both experimental and theoretical contributions addressing novel findings, methods or databases related to dendrites that fall into one or more of the following domains: * morphological and functional characterizations, * dendritic integration and compartmentalization, * dendritic channel distribution and their functional implications, * molecular pathways and signaling networks, * RNA trafficking and local protein synthesis, * functional or structural plasticity and homeostasis, * the role of dendrites in complex processes, including learning/memory, neural computations etc. Please note that places are limited and subject to availability. Attendees are highly encouraged to submit abstracts for presentations, since presenters will be given priority for registration. Instructions for on-line submission can be found at http://www.dendrites2016.gr/call-for-papers _Invited speakers (scientific talks): _ Claudia Clopath Daniel Dombeck Casper Hoogenraad Arthur Konnerth Attila Losonczy Judit Makara Rishikesh Narayanan Elly Nedivi Jackie Schiller Erin Schuman Idan Segev Nelson Spruston Greg Stuart _Invited speakers (Career Issues in academia):_ Monica Di Luca, FENS President: "Publication issues: right time for a reality check" Camilla Belone, FENS-Kavli Scholar: "Retention of women in high levels of neuroscience - Perspectives" Emre Yaksi, FENS-Kavli Scholar: "Funding opportunities in Neuroscience: how to write a successful grant proposal" Matthew Larkum: "How to write an influential scientific publication" NOTE: The Workshop takes place on the island of Crete and is followed by the AREADNE 2016 meeting <http://areadne.org/> (June 22-26th, 2016), focusing on Research in Encoding And Decoding of Neural Ensembles, on the neighboring island of Sandorini. DENDRITES 2016 participants are encouraged to consider attending both meetings. On behalf of the organizing committee, Yiota Poirazi -- 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 <tel:+30%202810%20391139> Fax: +30 2810 391101 <tel:+30%202810%20391101> Εmail: poirazi(a)imbb.forth.gr <mailto:poirazi@imbb.forth.gr> http://www.dendrites.gr Chair http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/ -

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Postdoc position in multisensory decision making
by Thomas Otto Feb. 9, 2016

Feb. 9, 2016

A *post-doctoral position* is available in the School of Psychology and Neuroscience at the University of St Andrews. The position is part of a BBSRC funded research project on *multisensory decision making*, which will be carried out in the lab of Dr Thomas Otto. The research involves psychophysical experiments as well as mathematical modelling. The position includes funding for career development. The initial appointment is for one year, funding is available for *up to 3 years*. Start date is 1st May 2016, or as soon as possible thereafter. *Applicants *should have strong interests in our research (www.lclab.wp.st-andrews.ac.uk) and solid experience with psychophysical experiments or mathematical modelling. Strong candidates will have excellent communication skills in English as well as experience of programming (e.g., MATLAB). A PhD in Psychology, Neuroscience, or in a related field is required. Candidates near to completion may also submit applications, indicating the expected date of completion. A more detailed job description can be found online <https://www.vacancies.st-andrews.ac.uk/ViewVacancy.aspx?enc=mEgrBL4XQK0+ld8…> under Further Particulars. Informal enquiries are encouraged and can be made to Dr Thomas Otto, Email: to7(a)st-andrews.ac.uk. *Closing Date*: 4 March 2016 We encourage applicants to apply online at www.vacancies.st-andrews.ac.uk/welcome.aspx, however if you are unable to do this, please call +44 (0)1334 462571 for an application pack. Please quote ref: AR1745MR Applications are particularly welcome from women who are under-represented in Arts posts at the University. You can find out more about Equality and Diversity at https://www.st-andrews.ac.uk.hr.edi/. The University of St Andrews is committed to promoting equality of opportunity for all, which is further demonstrated through its working on the Gender and Race Equality Charters and being awarded the Athena SWAN award for women in science, HR Excellence in Research Award and the LGBT Charter; http://www.st-andrews.ac.uk/hr/edi/diversityawards/. The University of St Andrews is a charity registered in Scotland (No SC013532). -- Dr. Thomas Otto University of St Andrews School of Psychology and Neuroscience St Mary’s Quad, South Street, St Andrews, KY16 9JP, Scotland Phone: +44 (0)1334 462091 http://lclab.wp.st-andrews.ac.uk/

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post-doctoral position in auditory decision-making
by Yale Cohen Feb. 8, 2016

Feb. 8, 2016

The laboratories of Joshua Gold (http://www.med.upenn.edu/goldlab) and Yale Cohen (http://auditoryresearchlaboratory.weebly.com/) at the University of Pennsylvania are seeking highly motivated post-doctoral fellows to participate in a joint research project that tests the contribution of feedback and feedforward connections to auditory decision-making in non-human primates. Candidates should have a PhD. Those with an MD will be considered but only if the candidates have a strong scientific background. A strong candidate will have experience in systems and computational neuroscience; recording and analysis of single- and multi-unit activity and local-field potentials from awake, behaving animals (in particular non-human primates); analysis of behavioral data and electrophysiological data; computational-analysis and programming skills. We are interested in individuals who have a good personality and can interact well with other members of the laboratories. The positions are funded through a joint ONR grant to Cohen and Gold and are available immediately. Salary will be based on experience and the NIH post-doctoral scale. The University of Pennsylvania has an outstanding environment for systems and computational neuroscience. The environment is further enriched by the PIs' ongoing collaborations with other members of the Penn Neuroscience community. For more information or to apply, contact Joshua Gold (jigold at mail.med.upenn.edu) or Yale Cohen (ycohen at mail.med.upenn.edu) Interested applicants should send a CV; a brief statement of research interests; and names of 2-3 referees. -- Yale E. Cohen, Ph.D. Associate Professor Chair, IACUC Department of Otorhinolaryngology:Head and Neck Surgery University of Pennsylvania School of Medicine 3400 Spruce - 5 Ravdin Philadelphia, PA 19104 Office: B50 John Morgan Building E-mail: ycohen(a)mail.med.upenn.edu <mailto:ycohen@mail.med.upenn.edu> Phone: 215 898 7504 FAX: 215 898 9994 URL: http://auditoryresearchlaboratory.weebly.com/ <http://www.med.upenn.edu/auditoryresearchlab/>

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CfP - MLUB 2016 - International Workshop on Machine Learning for Understanding the Brain
by Emre Akbas Feb. 7, 2016

Feb. 7, 2016

Please accept our apologies if you receive multiple copies of this call. 1st International Workshop on Machine Learning for Understanding the Brain, MLUB 2016 June 28-29 2016, Ankara, Turkey http://mlani.ceng.metu.edu.tr/ * Call for papers: International Workshop on Machine Learning for Understanding the Brain (MLUB) welcomes original and unpublished work on theory, systems, algorithms and applications related to Machine Learning and understanding techniques for modeling and analysis of brain in various modalities, such as, fMRI, sMRI, EEG, MEG, fNIRS. The workshop focuses on but is not limited to the following topics: - Learning and inference on neuroimaging data - Cognitive state classification - Functional Connectivity - Sparse Techniques - Multimodal Learning - Multi-Subject Learning - Efficient Algorithms for Large-Scale Data - Brain Network Embedding - Cognitive Computing - Software Simulation of the Brain - Pattern and Object Recognition - Cognitive Machine Learning - Modeling - Vision Models of the Brain - Memory Model of the Brain - Neural Models of the Brain - Visualization - High-Dimensional Neuroimaging Data Visualization - Brain Network Visualization - Network Summarization - Applications - Resting-State Data Analysis - Task-Based Data Analysis - Diagnosis of Diseases - Brain Computer Interface We call for paper contributions with a maximum length of 4 pages (double-column, IEEE style, PDF) for review. Accepted submissions will be assigned to one of the oral sessions. Every accepted submission has to be presented at the workshop by one of the paper's authors. All accepted and presented submissions will be included in the workshop proceedings and will be published by IEEE Xplore. * Important dates: Paper submission deadline: February 26, 2016 Notification of acceptance: March 22, 2016 Camera ready Submission: March 29, 2016 Workshop: June 28-29, 2016 * Keynote talks: Tulay Adali (University of Maryland, Baltimore County) Peter Janssen (KU Leuven) * Executive Committee Fatos T. Yarman Vural (Middle East Technical University) Tulay Adali (University of Maryland, Baltimore County) Enis Cetin (Bilkent University) Haluk Bingol (Bogazici University) Huseyin Boyaci (Bilkent University) * Technical Program Chairs Sinan Kalkan (Middle East Technical University) Emre Akbas (Middle East Technical University) Mete Ozay (Tohoku University) * For more information: http://mlub.ceng.metu.edu.tr/ <http://mlani.ceng.metu.edu.tr/>

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Ph.D. and PostDoctoral positions on High-Performance Brain Simulations
by C. Strydis Feb. 6, 2016

Feb. 6, 2016

Dear all, Please find below new job postings in the field of High-Performance Brain Simulations: Our Computer Engineering group (www.erasmusbrainproject.nl<http://www.erasmusbrainproject.nl>) of the Neuroscience Department of the Erasmus Medical Center, the Netherlands, is conducting research on high-performance, large-scale simulations of the human cerebellum. Depending on the neuronal-network size and the modeling accuracy desired, brain-model simulations can rapidly grow to be become exascale order-of-magnitude applications for HPC platforms. By capitalizing on the long-standing expertise and track record of the Neuroscience Department, the overall objective of the research performed is dual: to re-construct in hardware (‘in silico’) the human cerebellar cortex and – in the process – to develop novel tools for the automatic, seamless and fast simulation of any brain-model ensembles on popular HPC platforms, such as FPGAs, NVidia GP-GPUs, Intel Xeon Phis and Maxeler Dataflow Engines. The selected candidates are expected to work on these topics. This research will be part of the VINEYARD Horizon 2020 EU-funded project (www.vineyard-h2020.eu<http://www.vineyard-h2020.eu>). Erasmus MC is a partner in the HiPEAC European Network of Excellence and an official collaborator in the H2020 Flagship: Human Brain Project (HBP - www.humanbrainproject.eu<http://www.humanbrainproject.eu>). Where HBP works on fully simulating the cerebral cortex, Erasmus MC is adding in accurate simulations of the cerebellar cortex. Collaborative partners are the Delft University of Technology, the Chalmers University of Technology and the National Technical University of Athens. For more details please check the posting here: https://www.hipeac.net/jobs/9011/one-phd-position-and-one-postdoctoral-posi… 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<mailto:C.Strydis@erasmusmc.nl> Web: www.erasmusbrainproject.com/index.php/strydis<http://www.erasmusbrainproject.com/index.php/strydis> ==============================

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Neuro-Inspired Computational Elements Workshop, March 7-9
by Bruno OLSHAUSEN Feb. 6, 2016

Feb. 6, 2016

2016 Neuro-Inspired Computational Elements Workshop March 7-9, 2016 Clark-Kerr Campus, Berkeley, CA http://neuroscience.berkeley.edu/2016-neuro-inspired-computational-elements… *About the meeting* Neuro-inspired Computational Elements (NICE) workshops have been held for the last three years, bringing the very wide ranging scientific disciplines (neuroscience: imaging, theory, algorithms), hardware and applications communities looking for a common ground to accelerate the development of next generation of computing approaches. The key outcome will be the further clarification of the value proposition for neuro-inspired/neuromorphic computing: why and how could these systems deliver the performance and efficiency we seek beyond conventional computing approaches? The concurrent task for the workshop is to identify pathways for building and accelerating the evaluation and development of such systems. *Invited Speakers:* William Dally, NVIDIA Ila Fiete, UT Austin Steve Furber, University of Manchester Surya Ganguli, Stanford Jeff Hawkins, Numenta Bruce Hendrickson, Sandia National Laboratories Giacomo Indiveri, University of Zurich Pentti Kanerva, Redwood Center for Theoretical Neuroscience Amir Khosrowshahi, Nervana Systems David Kirk, Nvidia Christof Koch, Allen Institute for Brain Science Aurel Lazar, Columbia Wolfang Maass, Technische Universität Graz Rajit Manohar, Cornell Dharmendra Modha, IBM Christos Papadimitriou, UC Berkeley Alice Parker, USC Michael Schmuker, University of Sussex Narayan Srinivasa, Intel Winfried Wilcke, IBM *To Register* Please click on the following registration page link https://www.regonline.com/Register/Checkin.aspx?EventID=1749241 If you are interested in presenting at the workshop, we ask that you submit an extended abstract (1 page max pdf) during registration. There is an opportunity to upload your abstract at the bottom of the "personal information" page. After your information is entered you will be asked to pay. The 3 day event costs $275.00 per person, plus processing fees. *Hotel ** book by Sunday, Feb. 7 *** A block of rooms has been reserved at the Claremont Hotel for $219 per night, plus taxes and fees. Please click on this link to make a reservation in the room block: https://aws.passkey.com/event/14424359/owner/14188480/home --------------------------------------- Bruno A. Olshausen Helen Wills Neuroscience Institute & School of Optometry Director, Redwood Center for Theoretical Neuroscience UC Berkeley 575A Evans hall, MC 3198 Berkeley, CA 94720-3198 (510) 642-7250 / 2-7206 (fax) http://redwood.berkeley.edu/bruno

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Summer course in Computational Neuroscience: Vision
by Horwitz Lab Feb. 6, 2016

Feb. 6, 2016

*Summer course* COMPUTATIONAL NEUROSCIENCE: VISION July 11 – July 24, 2016 COLD SPRING HARBOR LABORATORY *Application Deadline: March 31, 2016* Co-organized by Geoff Boynton, Greg Horwitz, and Jonathan Pillow, this course is offered every two years and gives 24 graduate students and postdocs the chance for intensive interchange with a diverse faculty in an intellectually stimulating environment. The goal of the course is to introduce students to the processing of visual information as a model for general issues in systems neuroscience. The emphasis is on approaches with strong theoretical bases. In addition to talks by an international faculty, the course offers ample opportunity to interact with the speakers and to apply the knowledge gained in the course through hands-on projects using Matlab. Please see https://meetings.cshl.edu/courses.aspx?course=C-VISI&year=16 for more information about the course, the faculty, and the application procedure.

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Position available: Doctoral Student in Auditory Neuroscience
by Vollmer, Maike Feb. 5, 2016

Feb. 5, 2016

The Comprehensive Hearing Center (CHC) at the University Hospital of Wuerzburg offers the position of a Doctoral Student in Auditory Neuroscience. The DFG-funded research project (Priority Program 1608) investigates age-dependent effects of unilateral hearing loss on binaural signal processing and tests for neural plasticity and functional recovery using chronic electric stimulation with cochlear implants. The laboratory uses state-of-the art recording techniques across different auditory brain regions in animal models and computational analyses of neural data. In a collaborative team of investigators, corresponding histological and immunohistochemical analyses and modeling of neuronal data are performed. The CHC provides a rich interdisciplinary training environment within one of Germany's largest cochlear implant centers. Candidates can be integrated into the Ph.D. program of the Graduate School of Life Sciences. Applicants should have a Master's degree (M.Sc. or equivalent) in biology, bioengineering, neuroscience or related disciplines and show an interest in the auditory system and electrophysiology. Experience with Matlab and computational/programming skills are a plus. The position is available from April 2016 for three years. Applications from severely handicapped persons with basically similar qualification will be given priority. Women and minorities are encouraged to apply. Applicants should submit a CV, one page statement of research interests, and the name of one referee electronically to: Maike Vollmer, MD PhD Vollmer_M(a)klinik.uni-wuerzburg.de Comprehensive Hearing Center Auditory Neuroscience University Hospital Wuerzburg Josef-Schneider-Strasse 11 97080 Wuerzburg Germany

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PhD student in model-based neuroscience and dynamical systems
by Marieke van Vugt RUG Feb. 4, 2016

Feb. 4, 2016

I am looking for a PhD student to work on a project looking at how computational models of cognition can help to interpret the functional significance of interactions between brain areas. application portal: 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=…> PhD position Model-based neuroscience & dynamical systems (1.0 fte) Organisation Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage the 30,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly an international place of knowledge. Job Description We invite applications for a fully-funded four-year PhD student position in the Data Science and Systems Complexity research theme of the University of Groningen, The Netherlands. This PhD position is a collaboration between the Cognitive Modeling group (Marieke van Vugt, http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt>, Jelmer Borst, http://www.jelmerborst.nl <http://www.jelmerborst.nl/> , and Niels Taatgen (http://www.ai.rug.nl/~niels/ <http://www.ai.rug.nl/~niels/>)), the Discrete Technology & Production Automation group (Ming Cao, http://www.rug.nl/staff/m.cao <http://www.rug.nl/staff/m.cao>) and the Software Engineering group (Mircea Lungu, http://www.rug.nl/staff/m.f.lungu/ <http://www.rug.nl/staff/m.f.lungu/> ). The main aim of the project is to understand how brain areas communicate in the service of information processing. To answer this question, we will combine cognitive models of cognition with a dynamical systems analysis of EEG. We have previously shown that cognitive models can be used to help interpret patterns of interaction between brain oscillations in a specific attention task. This project seeks to extend this approach to other tasks, and to link more generally the stable states and state transitions manifesting in EEG to information processing steps predicted by the model. Eventually we hope to develop a general-purpose “brain-activity parser” that can interpret what the interactions between different brain areas may mean. The position is one of the four new PhD positions embedded in the Data Science and System Complexity initiative and thus the student will have ample opportunity to interact with other PhD students and staff who are interested in pursuing interdisciplinary research on large data and complex systems. Qualifications A successful candidate has a Master's degree in Applied Mathematics, Control Engineering, Computer Science, Artificial Intelligence or a related field, and solid programming skills. Experience in cognitive neuroscience or EEG analysis is a plus. Good communication skills (both verbal and written) in English are a prerequisite. The candidate should be enthusiastic about research, capable of learning new skills, and happy working both independently and in collaboration with other scientists. Conditions of employment The University of Groningen offers a salary of €2.174 gross per month in the first year up to a maximum of € 2.779 gross per month year (salary scale PhD students Dutch Universities) in the final based on a fulltime position (1.0 fte). The appointment is limited to a period of 4 years, which should be finished with a PhD examination. The first year constitutes a probationary period, with an evaluation of the candidate’s performance after nine months. The objective of this evaluation is to establish whether the candidate will be able to finish a PhD thesis in the remaining 3 years. If the performance evaluation is positive, the candidate’s contract will be extended for a total of 4 years. A training program 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. The conditions of employment are available at the University of Groningen website under Human Resources:http://www.rug.nl/about-us/work-with-us/ <http://www.rug.nl/about-us/work-with-us/> Starting date The candidate starts as soon as possible, preferably March 1st. Application You may apply for this position before February 16th Dutch local time by means of the application form (see 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=…>) Apply with a cover letter (with professional goals and a statement of interest), a curriculum vitae and two letters of recommendation (all PDF format). Information Dr. Marieke van Vugt, m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> Unsolicited marketing is not appreciated. -------------------------------------------------------------------- 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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[2nd call for applications] *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; 7 PhD scholarships; deadline March 15, 2015
by Robert Martin Feb. 3, 2016

Feb. 3, 2016

[Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2016* Begin of courses: October 2016 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *6 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/) The *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2015. The *fellowships of 1468 €/month* - with additional children allowances if applicable---will be granted for up to three years. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). ~~~ _For more information_ ... ... come and visit us at the BCCN Berlin: https://www.bccn-berlin.de/Home/Contact/How_to_reach/ ... or browse: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms(a)bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/

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CNS*2016
by Sharon Crook Feb. 2, 2016

Feb. 2, 2016

Organization for Computational Neurosciences (OCNS) CNS*2016 25th Annual Computational Neuroscience Meeting Jeju Island, 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 Mitsuo Kawato, Advanced Telecommunications Research Institute, Japan Tatyana Sharpee, Salk Institute, USA Registration opened on January 13, 2016. Abstract submissions are now being accepted and will close on February 28. Workshop proposals are now being accepted. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2016-jeju ----------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org

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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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