- Comp-neuro - lists.cnsorg.org

NEST 2.10 supports gap junctions and structural plasticity
by Hans Ekkehard Plesser Jan. 5, 2016

Jan. 5, 2016

Dear Colleagues! The NEST Initiative is pleased to announce the release of NEST version 2.10.0. The most notable changes over v2.8.0 are: * Support for simulations of gap junctions (see Jan Hahne et al., 2015) * Framework for structural plasticity (see Markus Butz et al., 2013 and Markus Butz et al., 2014) * Full support for the K computer (just in case you found one under your Christmas tree ;-)) All users are encouraged to upgrade and adapt their simulation scripts to the changes in the user interface at this point in time to benefit from the improvements in the new version. For a full list of changes and download links, see https://github.com/nest/nest-simulator/releases/tag/v2.10.0 Best regards, Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser, Associate Professor Section Head Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.umb.no/~plesser

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Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience
by Tai Sing Lee Jan. 4, 2016

Jan. 4, 2016

Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition in Pittsburgh. The Center for the Neural Basis of Cognition is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Starting in May of 2016, a select group of talented undergraduates will embark on a 10-week residential program that provides intensive, mentored research experiences in computational and theoretical neuroscience. This program is intended for students who wish to pursue a Ph.D. after graduation. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds especially juniors and seniors from colleges and universities that do not have extensive research programs, and students from groups underrepresented in the sciences. Participants must be U.S. citizens or permanent residents. Selected students will receive a stipend and university dormitory housing. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include: faculty research talks, student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. The 2016 program will run from late May through early August, 2016 (precise dates will be announced in March). The final deadline for application is February 16. All participants must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. Students from groups underrepresented in the sciences are encouraged to apply. 2016 uPNC Summer Fellowship Application available here: http://www.cnbc.cmu.edu/images/CNBC_general/upncsummerapplication2016.doc Application can be returned via email or regular mail (see addresses below). In addition to the application, the following items are required for evaluation: A brief (one page) essay about your interest and experience in neural computation. Official transcript from the institution you are attending Two letters from professional references. You should contact your recommenders and ask them to mail or email a letter directly to us. SAT/ACT scores (do NOT have to be official; photocopies are acceptable) Documents should be mailed to: Computational Neuroscience Summer Program Center for the Neural Basis of Cognition Carnegie Mellon University 4400 Fifth Avenue Suite 115 Pittsburgh, PA 15213-2617 CNBC-summer-UG(a)andrew.cmu.edu For more information go to this sites: http://www.cnbc.cmu.edu/summercompneuro

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Request for Information on Neurally-Inspired Computing Principles
by R. Jacob Vogelstein Jan. 4, 2016

Jan. 4, 2016

Hi all, IARPA has just released a new Request for Information (RFI) on "neurally-inspired computing principles," and I'm hopeful that members of this community will submit some interesting whitepapers in response. Note that the RFI is issued solely for information gathering purposes, and does not constitute a formal solicitation for proposals. IARPA anticipates that responses to this RFI will be used to help organize a workshop on this topic at the 2016 Neuro Inspired Computational Elements conference ( http://niceworkshop.org/) and to inform future programs in this technical area. The full text of the announcement is published at https://www.fbo.gov/notices/7ea2ad0e075b31c05a011f2d835392a9; a brief synopsis is presented below. -------- Seventy years ago, John von Neumann found inspiration for the design of the EDVAC in what was then known about the design of the brain. However, despite the early influence of neuroscience on what has become known as the von Neumann architecture, the principles of computing underlying today’s state of the art digital systems deviate substantially from the principles that govern computing in the brain. In particular, whereas mainstream computers rely on synchronous operations, high precision, and clear physical and conceptual separations between storage, data, and logic; the brain relies on asynchronous messaging, low precision storage that is co-localized with processing, and dynamic memory structures that change on both short and long time scales. To understand the potential opportunities and challenges in developing next-generation computers that exploit these and other principles of neural computing, IARPA is seeking information from two groups of experts: (1) computer scientists with experience in designing or building computing systems that rely on the same or similar principles as those employed by the brain; and (2) neuroscientists who have credible ideas for how neural computing principles can offer practical benefits for next-generation computers. Responses to this RFI should clearly and concisely answer the questions posed below (to neuroscientists, computer scientists, or both) in one or more of the four topics described in detail in the full text of this announcement (https://www.fbo.gov/notices/7ea2ad0e075b31c05a011f2d835392a9) Topic 1: Spike-based representations Topic 2: Asynchronous computation Topic 3: Learning Topic 4: Co-local memory storage and computation Responses to this RFI are due no later than 5:00pm Eastern Time on January 29, 2016. IARPA appreciates responses from all capable and qualified sources from within and outside of the US. Inquiries to this RFI must be submitted to dni-iarpa-rfi-16-02(a)iarpa.gov. -- R. Jacob Vogelstein, Ph.D. Program Manager ODNI/IARPA 301-851-7497 (office) http://go.usa.gov/FPPJ

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Postdoc position open in Rutishauser Lab (human single-neurons)
by Ueli Rutishauser Jan. 4, 2016

Jan. 4, 2016

*Postdoctoral fellowship in human intracranial electrophysiology: Cedars-Sinai Medical Center and California Institute of Technology (Los Angeles)* Applications are invited to join a McKnight Endowment Fund for Neuroscience and NSF funded research program investigating the neural mechanisms of learning and memory in humans. The applicant will work on intracranial single-unit recordings from human subjects, investigating questions related to the encoding and retrieval of memory. This will include experimental work with patients (electrophysiology and behavior), data analysis and processing, spike-train analysis, and experimental design. The focus of this position will be on single-neuron recordings from the medial temporal lobe in epilepsy patients to investigate the role of theta-oscillations in coordinating activity and how such coordination relates to memory. The applicant will have access to state-of-the art equipment, facilities and analytical methods and will be part of an established team of investigators at both Cedars-Sinai and the California Institute of Technology (Ueli Rutishauser, Ralph Adolphs, Adam Mamelak), with ample opportunity to learn new techniques and methods. This position is based on the Cedars-Sinai campus. Candidates should have a recent PhD in systems, cognitive, or computational neuroscience with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, statistics and electrophysiology skills are essential. Excellent written and oral English communication skills are required, including the ability to communicate with patients and their families. Individuals with previous human intracranial EEG experience and/or macaque single neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. The position is available as early as March 1st 2016, with a competitive salary commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Applicants must pass background screening and health checks to be able to work with patients. Caltech and Cedars-Sinai Medical Center are equal opportunity employers and women and minorities are encouraged to apply. Interested applicants should send a CV, statement of research accomplishments and interests, copies of 2-3 representative publications and contact information for 2-3 reference letters to Ueli Rutishauser at rutishauseru(a)csmc.edu. Informal inquiries are welcome. All information should be sent in pdf format. Further information about the lab can be found at www.rutishauserlab.org .

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Okinawa/OIST Computational Neuroscience Course 2016: applications open
by Erik De Schutter Jan. 4, 2016

Jan. 4, 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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Fully funded PhD position at the University of Ghent, Belgium
by Daniele Marinazzo Jan. 4, 2016

Jan. 4, 2016

The lab of Daniele Marinazzo (www.ugent.be/~dmarinaz) at the department of Data Analysis, Faculty of Psychology and Pedagogical Sciences of the University of Ghent, Belgium, is looking for a PhD student. The position is fully funded for 4 years by the Research Foundation Flanders (FWO). The research subject involves advanced statistical data analysis of fMRI data. The student will be part of a research group focusing on the development and validation of new methods for the analysis of neuroimaging data, in the framework of a multidisciplinary collaboration with psychologists and clinicians. Both candidates with a technical degree and candidates with a psychology degree but an interest in programming and quantitative analyses are encouraged to apply. Knowledge of at least one programming language (python, matlab, R …) and an interest for multidisciplinary research are required. The University of Gent (www.ugent.be) hosts a vibrant research community and offers excellent facilities to students and employees. The most likely starting date is October 2016 but earlier appointments can be considered. Candidates are invited to send a motivation letter and the names of two referees to Daniele Marinazzo (daniele.marinazzo(a)ugent.be) Informal inquiries and requests for further information are most welcome. -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ http://helpdesk.ugent.be/e-maildisclaimer.php -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ http://helpdesk.ugent.be/e-maildisclaimer.php

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XPPAUT 8.0
by Ermentrout, G Bard Jan. 4, 2016

Jan. 4, 2016

I am happy to announce that the new version of XPPAUT is now available for download at: http://www.math.pitt.edu/~bard/xpp/xpp.html The new version uses the most recent version of AUTO and allows for much better two-parameter continuation of periodic and homoclinic orbits. In addition there are dozens of new command line options and support for CUDA code. -Bard Ermentrout

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Brain, Minds and Machines Summer Course 2016
by Kreiman, Gabriel Jan. 3, 2016

Jan. 3, 2016

What: Brains, Minds and Machines Summer Course When: 08/15/2016 through 09/05/2016 Application Deadline: March 14, 2016 Link to application forms: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=BMM Link to course: http://cbmm.mit.edu/summer-school/2016 The Brains, Minds and Machines Summer Course will be held at MBL, Woods Hole, MA, from August 15, 2016 through September 5, 2016. This course is organized by the MIT-Harvard Center for Brains, Minds, and Machines (CBMM). The goal of this course is to introduce students with a broad range of backgrounds to cross-disciplinary research in Neuroscience, Cognitive Science, and Computer Science. The first half of the course will focus on the intersection between biological and computational aspects of learning and vision. The second half will focus on high-level social cognition and artificial intelligence, as well as audition, speech, and language processing. Lectures will be complemented by student research projects completed under the supervision of CBMM postdocs and faculty. We will also be hosting an Evening Lecture Series, including speakers from both industry and academia, in the fields of neuroscience, computer science, and cognitive science. Past speakers include: Larry Abbott, Columbia University College of Physicians and Surgeons Dorin Comaniciu, Siemens Corporate Technology Amnon Shashua, The Hebrew University of Jerusalem, Mobileye, OrCam Eero Simoncelli, Howard Hughes Medical Institute, New York University 2015 Invited Course Faculty: DiCarlo, Jim, MIT Freiwald, Winrich, Rockefeller University Kanwisher, Nancy, MIT Katz, Boris, MIT Koch, Christof, Allen Institute for Brain Research Kreiman, Gabriel, Children’s Hospital Boston, Harvard Medical School Poggio, Tomaso, MIT Rosasco, Lorenzo, Italian Institute of Technology Saxe, Rebecca, MIT Schulz, Laura, MIT Spelke, Liz, Harvard University Tenenbaum, Joshua, MIT Wilson, Matthew, MIT Winston, Patrick, MIT Please visit our website for more details: http://cbmm.mit.edu/summer-school/2016 This course is recommended for PhD students and Postdocs. The application deadline is March 14, 2016. The online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=BMM Tuition, MBL room & board are provided by an NSF Science and Technology Center award to the Center for Brains, Minds, and Machines, Grant No. CCF-1231216. Gabriel Kreiman klab.tch.harvard.edu Use "9265358979" anywhere in the message body to ensure that your message navigates through anti spam filters

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Two funded PhD and one postdoc position in theoretical neuroscience at the Max Planck Institute for Brain Research
by Gjorgjieva, Julijana Jan. 3, 2016

Jan. 3, 2016

We invite applications for two funded PhD and one postdoctoral research position in our group “Computation in Neural Circuits” at the Max Planck Institute for Brain Research in Frankfurt, Germany. We use mathematical and computational approaches to study how neurons and the connections between them tune their properties during brain development to ensure appropriate network dynamics, and how adult function and behavior emerge from a diversity of mechanisms. We collaborate with experimental research groups internationally, including the US, UK and the Netherlands, and we will benefit from interactions with the strong neuroscience community in Frankfurt. Successful applicants can work on a range of projects including data analysis, theoretical model development and analytical calculations, numerical simulations, and applications to novel datasets from collaborating labs. Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, quantitative biology or related fields) and interest in interdisciplinary research. Background in neuroscience and good programming skills are desirable, but not essential. Postdoc candidates must have (or will soon be awarded) a PhD in the relevant quantitative disciplines. The positions can start as early as June 1, 2016. For more information or an informal discussion, contact Dr Julijana Gjorgjieva at gjorgjieva(a)brandeis.edu To apply for these positions, please submit the following to gjorgjieva(a)brandeis.edu: 1. A curriculum vitae 2. PhD candidates: a short motivation letter Postdoc candidates: a description of research interests 3. Contact details for 2-3 referees 4. If available, a written sample of scientific research, e.g. a manuscript, thesis, or other work product Our institute also hosts the IMPRS graduate school in “Neural Circuits” which currently has an open call for PhD applicants: http://brain.mpg.de/graduate-studies/call.html Julijana Gjorgjieva Max Planck Institute for Brain Research Max-von-Laue-Str 4 60438 Frankfurt/Main, Germany http://www.people.fas.harvard.edu/~gjorgjieva/

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Deadline Approaching: Telluride Neuromorphic Cognition Engineering Workshop 2016 Call for Topics
by Ralph Etienne-Cummings Jan. 2, 2016

Jan. 2, 2016

Call for Topic Area Proposals2016 Neuromorphic Cognition Engineering Workshop *Telluride, Colorado, June 26 –July 16, 2016* *DEADLINE: January 8th, 2016* We are now accepting proposals for Topic Areas in the 2016 Telluride Neuromorphic Cognition Engineering Workshop. We support topics and projects in neuromorphic cognition, particularly those that involve solving challenging ‘everyday’ tasks that incorporate domain-specific knowledge, exploration, prediction, and problem solving. In particular, we are interested in projects that hold promise for addressing Grand Challenge types of problems that do not have strong solutions of any form, neuromorphic or not. These Challenge problems should feature long-duration sensorimotor problems that involve autonomous cognitive decision making. Examples might include tasks such as learning a new language, navigating through an unknown environment to locate an object or reach a desired location, visual and auditory understanding of human actions, adaptively manipulating unknown or complex objects in the service of a task, playing a game requiring inference of hidden information or long-term planning and learning, etc. Proposals related to hardware technologies that aim to bring these capabilities to reality are also encouraged. Topic proposals that aim to solve a particular problem using the multidisciplinary experience of participants will be favored over topics that simply gather a large number of people working within a discipline, or using a single technology, or approach. Topic areas for this summer's Telluride Neuromorphic Cognition Engineering Workshop <http://ine-web.org/> will be chosen from proposals submitted to the organizers. *Topic areas can span a large field; we are looking for leadership in planning activities and inviting good people in a field.* Although past topic areas have tended to be very broad and discipline-oriented (e.g., cognition, audition, vision, robotics, neural interfacing, neuromorphic VLSI, etc.), application-oriented topic areas (e.g., sensor fusion, game-playing robot, object recognition, sound localization, human robot interaction, etc.) are especially desirable. *Topic area leaders will receive housing for themselves and their invitees, and limited travel funds.* Topic area leaders will help to define the field of neuromorphic cognition engineering through the projects they pursue and the people they invite. They shape their topic by inviting speakers and project leaders (the *invitees*) and by initiating topic area project discussions prior to the workshop. Teams of two organizers are required. One of the organizers should be an attendee of a previous Telluride Workshop (in any capacity) and has stayed at the Workshop for at least one week. *Pre-workshop topic area choices and study assignments.* Before the workshop begins, each topic area will be required to prepare and distribute study materials that constitute: 1) an introductory presentation (e.g., pptx, video, review paper) of the fundamental knowledge associated with the topic area that *everyone at the workshop* should be exposed to, and 2) a few critical papers that the participants in the topic area should read before the workshop. The topic area should 3) begin a serious group discussion of the projects (e.g., via Facebook, Skype, email, etc). *The maximum 2-page proposals should include:* 1. Title of topic area. 2. Names of the two topic leaders, their affiliations, and contact information (email addresses). 3. A paragraph explaining the focus and goals of the topic area. 4. A list of possible specific topic area projects. 5. A list of example invitees (up to six names and institutions). No commitments necessary. 6. Any other material that fits within the two-page limit that will help us make a smart choice. *Send your topic area proposal* in pdf or text format to organizers13(a)neuromorphs.net <organizers12(a)neuromorphs.net> with subject line containing "topic area proposal". *Proposals must be received by January 8, 2016*; proposals received after the deadline may still be considered if space is available. *We expect to accept 4-5 topic areas*, each with 5 invitees*.* If your proposal for the topic area is not accepted, we will work with you to see if there is a natural way to include your ideas (and you) into the accepted topic areas. We hope to have significant turn-over each year in the topic areas and leaders to ensure fresh new ideas and participants. See the Institute of Neuromorphic Engineering (www.ine-web.org) for background information on the workshop and neuromorphs.net <https://neuromorphs.net/ws2009/wiki/PastWorkshops> for past workshop wikis. We look forward to your topic proposals! *Deadline: January 8, 2016* *The Workshop Directors:* Cornelia Fermüller <http://www.cfar.umd.edu/~fer/> (University of Maryland), Ralph Etienne-Cummings <http://etienne.ece.jhu.edu/people/ralph/index.html> (Johns Hopkins Univ.) Shih-Chii Liu <https://www.ini.uzh.ch/~shih/> (University of Zurich and ETH Zurich), Timmer Horiuchi <https://www.isr.umd.edu/faculty/horiuchi> (University of Maryland), Katalin Gotthard <http://physiological-sciences.arizona.edu/katalin-gothard> (University of Arizona), Michael Pfeiffer <https://www.ini.uzh.ch/~pfeiffer/index.html> (University of Zurich and ETH Zurich), Francisco Barranco <fbarranco(a)ugr.es> (University of Granada) *Former 2007-2013 Workshop Director:* Tobi Delbruck <https://www.ini.uzh.ch/~tobi/> (University of Zurich and ETH Zurich) -------------------------------------------------------------------------------------------- Ralph Etienne-Cummings, PhD, FIEEE Professor and Chairman Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab Laboratory for Computational Sensing and Robotics The Johns Hopkins University Baltimore, MD [image: cid:image001.png@01CFC064.B58B46A0]

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