- Comp-neuro - lists.cnsorg.org

Postdoc EEG data analysis and source modeling

by Thomas Knoesche

The Research & Development Unit „MEG and Cortical Networks“ at the Max-Planck-Institute for Human Cognitive and Brain Science at Leipzig offers a position as POSTDOCTORAL RESEARCHER in the area of Medical Signal Processing and Biophysical Modelling. The research project aims at the development of fast and effective processing techniques for EEG data. The task of the successful applicant will be to develop methods for artefact identification and correction, spatial interpolation and source reconstruction. The successful applicant holds a PhD degree in informatics, mathematics, physics, biomedical engineering, electrical engineering or similar. Experience with the measurement and analysis of brain signals is an advantage, but not essential. A keen interest in the biological foundations of cognition should be present. Decent programming skills are of importance. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. The position is available for 2 years. Payment is according to the German scale TVöD 13. The selection procedure starts as the applications come in. Please send your application by email, citing the code number "PD 14" to: PD Dr.habil. Thomas R. Knösche Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A, 04103 Leipzig, Germany [phone: +49 341 9940-2619] [email: knoesche(a)cbs.mpg.de]

April 29, 2014

Fully funded PhD position in the Neural Computation Lab Italian Institute of Technology

by Stefano Panzeri

I have an open fully funded PhD position in computational neuroscience in my laboratory at the Italian Institute of Technology in Trento. Stipend, tuition fees and research expenses of the successful candidate will be fully covered by the Italian Institute of Technology. The topic of investigation is how neuronal populations encode and exchange sensory information. The successful candidate will begin the PhD in November 2014 and will be registered with the Doctoral Programme at the University of Trento (ranked 1 st in Italy according to the Times Higher Education). All PhD courses are given in English, and the working language of the research institute is English. The selection requires a Master level degree (Laurea Magistrale or equivalent), a certifiable B2 level of English (or BA/BS/MA/MSc done entirely in English), and a proposed research project. There are no constraints on nationality for the applicants. *The deadline for applications is* *Tuesday May 13, 2014 at 4:00 p.m Italian Time.* Please visit the Doctoral Programme’s website http://www.unitn.it/en/drcimec/10140/admission-doctoral-school-cognitive-an… for information pertaining to the timeline of the application process and for a link to the actual online application. Note that the candidates will have to apply for the topic “computational neuroscience” (see http://www.unitn.it/en/drcimec/32957/30th-cycle-topics-2014-call) and submit with application a brief summary of the proposed research project applicants will submit. This brief document should be intended as a description of the candidate’s research interests within computational neuroscience rather than a detailed research project. Interested candidates are strongly encouraged to write to me ( stefano.panzeri(a)iit.it) as soon as possible attaching their CV to discuss the application further. However, applications will be formally considered only if submitted through the above official link of the University of Trento PhD selection programme. Regards Stefano Panzeri Research Professor Italian Institute of Technology Neural Computation Laboratory – Rovereto (Trento) Italy http://cncs.iit.it/people/iit-unitn-neural-computation/senior-researcher/st… http://cncs.iit.it/research-labs/neural-computation.html

April 29, 2014

NEURON Summer Course openings

by Ted Carnevale

Space is still available in the NEURON Summer Course, but you'll have to act quickly to make sure you qualify for the early registration rates. NEURON Fundamentals June 21-24 This addresses all aspects of using NEURON to model individual neurons, and also introduces parallel simulation and the fundamentals of modeling networks. Parallel Simulation with NEURON June 25-26 This is for users who are already familiar with NEURON and need to create models that will run on parallel hardware. Apply by Friday, May 9, and pay only $1050 for the Fundamentals course $650 for the Parallel Simulation course $1600 for both Registration fees for applications received after May 9 are $1200 for Fundamentals $750 for Parallel Simulation $1800 for both These fees cover handout materials plus food and housing on the campus of UC San Diego. Registration is limited, and the registration deadline is Friday, May 30, 2014. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/courses --Ted

April 28, 2014

INNS Request for nominations: Hebb, Helmholtz, Gabor, and Young Investigator awards

by Schmidhuber Juergen

The International Neural Network Society's Awards Program is established to recognize individuals who have made outstanding contributions in the field of Neural Networks. Up to three awards, at most one in each category, of up to $1,000 ($500 cash award plus up to $500 travel award), are presented annually to senior, highly accomplished researchers for outstanding contributions made in the field of Neural Networks. The Hebb, Helmholtz and Gabor Awards: - The Hebb Award - recognizes achievement in biological learning. - The Helmholtz Award - recognizes achievement in sensation/perception. - The Gabor Award - recognizes achievement in engineering/application. - Young Investigator Awards: Up to two awards of $500 each are presented annually to individuals with no more than five years postdoctoral experience and who are under forty years of age, for significant contributions in the field of Neural Networks. Nominations: 1. The Awards Committee should receive nominations of no more than two pages in length, specifying: - The award category (Hebb, Helmholtz, Gabor, or Young Investigator) for which the candidate is being nominated. - The reasons for which the nominee should be considered for the award. - A list of at least five of the nominee's important and published papers. 2. The curriculum vitae of both the nominee and the nominator must be included with the nomination, including the name, address, position/title, phone, fax, and e-mail address for both the nominee and nominator. 3. The nominator must be an INNS member in good standing. Nominees do not have to be INNS members. If an award recipient is not an INNS member, they shall receive a free one-year INNS membership. 4. Nominators may not nominate themselves or their family members. 5. Individuals may not receive the same INNS Award more than once All nominations will be considered by the Awards Committee and selected ones forwarded to the INNS Board of Governors, along with the Committee's recommendations for award recipients. Voting shall be performed by the entire BoG. The INNS Award Committee members must be INNS Governors in the year that they are appointed. The 2014 Committee consists of Prof. Jürgen Schmidhuber, Prof. Leonid Perlovsky, and Prof. Hava Siegelmann. Please email the 2015 nominations along with their attachments directly to the chair of the Awards Committee at juergen(a)idsia.ch, with a copy to the Secretary of the Society at bill(a)billhowell.ca by June 1, 2014. Please use the following subject line in the email: INNS award nomination. Please find additional information here: http://www.inns.org/awards Jürgen Schmidhuber http://www.idsia.ch/~juergen/

April 28, 2014

CFA: Two postdoctoral positions in mathematical modeling and machine learning for collective behavior

by Kristiaan Pelckmans

CFA: Two postdoctoral positions in mathematical modeling and machine learning for collective behavior Dear all, We have openings for two postdocs on our project for relating social behavior to brain morphology. A full description of the applications can be found at http://www.uu.se/en/jobs/jobs-detail-page/?positionId=36625 Best, -Kristiaan Pelckmans

April 28, 2014

Post-doc (or PhD student) in Computational and Cognitive Neuroscience

by Pieter Roelfsema

Post-doc (or PhD student) in Computational and Cognitive Neuroscience - What is the role of the cortical layers? A post-doc (or PhD student) position is available to study computational models about the roles of the different layers of the cerebral cortex in the Vision & Cognition group (head Pieter Roelfsema) at the Netherlands Institute for Neuroscience in Amsterdam. What roles do the different cortical layers play in visual processing? This project, funded by the Human Brain Project, aims to build computational models for the unique contributions of the different cortical layers to perceptual processing. We recently discovered that the cortical layers have different roles in visual perception (Self et al., Curr. Biol, 2013). We now wish to understand this subdivision of labor by making models of the layers and the interactions between them that take place in the visual cortex during perception. The candidate will have close interactions with researchers addressing laminar processing with high-field fMRI. The successful applicant will have a solid computational background and an interest in cognitive neuroscience, preferably affinity with neuroimaging, and good programming skills. Appointment: The position involves a temporary appointment for 2-4 years. To apply, please send application letter, CV and two letters of recommendation to: Tini Eikelboom The Netherlands Institute for Neuroscience Meibergdreef 47 1105 BA Amsterdam, The Netherlands Telephone: +31-20-5664587 E-mail: t.eikelboom(a)nin.knaw.nl<mailto:t.eikelboom@nin.knaw.nl>

April 28, 2014

Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing

by Jörg Lücke

The Machine Learning research group at the University of Oldenburg, Germany, is seeking to fill Two PhD Research Positions and one (postdoctoral) Research Associate Position All positions are part of the Machine Learning group which develops learning and inference technology for sensory data. We pursue basic research, develop new technology, and apply our approaches to different tasks. Our research hereby combines modern probabilistic data descriptions, modern computer technology and insights from the neurosciences. We contribute to the improvement of current methods for computer hearing, pattern recognition and computer vision as well as to the understanding of biological and artificial intelligence. Research will be conducted in close collaboration with leading international and national research labs. Our research field can be considered as part of the Data Sciences, Computational Sciences, or Big Data approaches (to name some terms recently used in the media). Salary levels of the positions are based on the TV-L scale of the German public sector (Öffentlicher Dienst). After the deduction of health insurance, pension tax and other taxes, the salary for the PhD positions amounts to approximately 1600 EUR per month, and to about 2000 EUR per month for the (postdoctoral) Research Associate Position. Depending on the experience of the candidates, the salary can be higher. But please note that the only definite sources for all information on the positions including salary, job description and application/selection procedure are the central websites of the University of Oldenburg. For the PhD positions see: http://www.uni-oldenburg.de/stellen/?stelle=63323 For the postdoc position see: http://www.uni-oldenburg.de/stellen/?stelle=63322 Depending on the skills and interests of the candidates, the research focus will be on the development of new probabilistic learning algorithms and/or their applications to high-dimensional sensory data. Projects can emphasize basic research for general purpose learning and pattern recognition, or applications of algorithms to specific tasks. Candidates for the PhD positions have to hold a Master degree in Physics, Computer Science, Mathematics or a closely related subject (at the latest at the time when the contract is signed). Analytical/mathematical skills and programming skills (e.g. python, matlab, C++) are required for all candidates. Experiences with Machine Learning algorithms are desirable. Experiences with acoustic data, other types of sensory data, and an interest in the neurosciences are a plus but are not strictly required. The candidates for the (postdoctoral) Research Associate position have to hold a Master degree or (preferably) a PhD/Doctoral degree in Physics, Computer Science, Mathematics or a closely related subject (alternatively, a statement can be provided that a PhD/Doctoral degree will be issued when the position is taken or shortly thereafter). Analytical/mathematical skills, programming skills, and experience with Machine Learning algorithms are required. Experiences with acoustic data, other types of sensory data, and an interest in the neurosciences are a plus but are not strictly required. The (postdoctoral) Research Associate position is suitable for part-time work. All positions can be filled immediately and are available for initially two years with an option for extension. The appointed researchers will be part of a very new working environment. The research group is currently established through a strategic investment into Machine Learning technology at Oldenburg. The group is located in a new building, and the Cluster of Excellence Hearing4all is part of the German Excellence Initiative which funds top-tier research in Germany. The cluster comprises many interdisciplinary research groups that are currently set up or that are extended. As a consequence, many new PhD, postdoc and faculty positions allow for interesting collaboration opportunities and provide an attractive scientific and social environment. The city of Oldenburg is one of Germany's cities with the highest rated living quality, it is close to the North See and near to the cities of Bremen and Hamburg. For more information about the Machine Learning research group visit: http://www.uni-oldenburg.de/ml/ For more information about the Cluster of Excellence Hearing4all visit: http://hearing4all.eu/EN/ The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply. According to § 21 III NHG (legislation governing Higher Education in Lower Saxony) preference will be given to female candidates in cases of equal qualification. Handicapped applicants will be given preference if equally qualified. Please send your application including the usual documents (including contact details for reference letters) preferably electronically (PDF) to Jörg Lücke <joerg.luecke(a)uni-oldenburg.de> or per mail to: Carl von Ossietzky Universität Oldenburg, Fakultät VI, Machine Learning, z.Hd. Frau Jennifer Köllner, 26111 Oldenburg, Germany. Please use “Research Position (PhD)” as subject line for applications to the PhD positions, and “Research Associate Position (postdoc)” for applications to the (postdoctoral) Research Associate position. The application deadline is 15 June 2014. Applications received after this date are not guaranteed to enter the selection process. -- Jörg Lücke (PhD) Associate Professor Machine Learning Lab and Cluster of Excellence Hearing4all Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uni-oldenburg.de/ml

April 27, 2014

BCBT2014 summer school

by BCBT, Bústia Compartida

*Barcelona Cognition, Brain and Technology Summer School (BCBT2014)* University Pompeu Fabra, Barcelona, Spain. September 1-12, 2014 http://bcbt.upf.edu/bcbt14/ Join us for the annual *"Barcelona Cognition, Brain and Technology summer school - BCBT2014 *" (see* http://bcbt.upf.edu/bcbt14 <http://bcbt.upf.edu/bcbt14>*) to be held from September 1-12, 2014 in Barcelona Spain. The BCBT summer school is part of a series of events organized by the Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*) and is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. This is the 7th year of BCBT, which has ran with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures are available online (see *http://csnetwork.eu/ <http://csnetwork.eu/>*) as well as the CSN *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of "BIO-ICT convergence", "Brain Inspired ICT", "Cognitive systems-robotics". BCBT will offer up to 30 student slots for the practical workshops while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are presentations in the morning, usually 2, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2014 edition we plan a *1st week* of the school addressing *Evolutionary and Developmental aspects of nervous systems and behavior*(*Session 1*, 1-5 Sept*)*, while the *2nd week* will include presentations aimed at the investigation of *Core Brain Systems* with emphasis on the basal ganglia (*Session 2*, 8-9 Sept) followed by roadmapping sessions (*Session 3*, 10-11 Sept). Friday 12 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: August 2nd, 2014* For more information, and to apply, please go to http://bcbt.upf.edu/bcbt14/home BCBT2014 is supported by the Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). and is co-organized by Paul Verschure (BCBT Chair) SPECS, University Pompeu Fabra Barcelona, ES Tony Prescott (BCBT Co-Chair) University of Sheffield, UK Leah Krubizer (BCBT Co-Chair) UC Davis, CA, USA Anna Mura (BCBT Co-Chair) SPECS, University Pompeu Fabra Barcelona, ES

April 25, 2014

Invitation to NeuroFutures Summit - Seattle, June 16-18, 2014.

by Rad Roberts

We are pleased to invite you to the 2014 NeuroFutures Summit. Who/what/why: The NeuroFutures Summit will bring together research, industry, and clinical thought leaders to explore how innovations in neuromodulation, brain mapping, neuroimaging, computational neuroscience, and brain computer interfaces will transform our understanding of neural systems and enable life-changing medical treatments. Participants will learn the state of the art, present and discuss their work, and interact with neurotechnology leaders in a small conference setting. The abstract deadline for poster presenters is May 16th, 2014. Over thirty speakers are confirmed. See agenda below. When: Public lecture 6-8pm June 16th followed by the technical conference on June 17th and 18th, 2014. Where: Hotel Deca and the University of Washington, Seattle, WA. Website: Visit www.neurofutures.us to learn more. We hope you can join us. Sincerely, The organizers: Rad Roberts, Center for Sensorimotor Neural Engineering, University of Washington, Dan Rizzuto, Allen Institute for Brain Science, Bill Rooney, Oregon Health and Science University, and Bobby Heagerty, Oregon Health and Science University. NeuroFutures Summit Agenda June 16th- 18th, 2014 University of Washington, Seattle, WA <http://www.neurofutures.us> www.neurofutures.us Monday, June 16th, 6pm - 8pm Public lecture: The Brain on Circuit Training: Finding and Fixing Misfiring Neural Circuitry. A presentation by Dr. Andres Lozano with an interactive discussion moderated by David Heil. Tuesday, June 17th Functional Mapping Informs BCI and Neuromodulation Innovations Richard Buxton, UCSD, Kim Burchiel, OHSU, Richard Andersen, Caltech Measuring, Mapping, and Modifying Cognitive Function. Justin Sanchez, DARPA, Tom Grabowski, U of Washington, Brian Kopell, Mt. Sinai Hospital. Lunch, posters, informal discussion. Structure and Target Selection in Neuromodulation Chris Kroenke, OHSU, Andres Lozano, U of Toronto, David Newell, Swedish Neuroscience Institute. Mining Shared Neural Data Sets Magali Haas, Orion Bionetworks, Julie Harris, Allen Institute for Brain Science, Mike Hawrylycz, Allen Institute for Brain Science, Paul Fearn, Fred Hutchinson Cancer Research Center. Northwest NeuroNeighborhood Resources and Partnering Opportunities I. Bart Keogh, Radia Inc., Rajesh Rao, U of Washington, John Henson, Swedish Neuroscience Institute. Evening reception at the Burke Museum of Natural History and Culture. Wednesday, June 18th The Past, Present, and Future of Closed-loop Neuromodulation. Milton Morris, Cyberonics, Eberhard Fetz, U of Washington, Tim Denison, Medtronic. Ryder Gwinn, Swedish Neuroscience Institute. De-coding Commands and Learning Modes in the Motor Cortex. Chet Moritz, U of Washington, Jeff Ojemann, U of Washington, Adrienne Fairhall, U of Washington. Neurotechnology Development and Brain Mapping: A Virtuous Cycle Ed Lein, AIBS, Craig Forest, Georgia Institute of Technology. Northwest NeuroNeighborhood Resources and Partnering Opportunities II. Norman Beauchamp, U of Washington. Bob Wilcox, Viket Medical. Lunch, posters, informal discussion. Generating and Handling Large Neural Data Sets. Hanchuan Peng, Allen Institute for Brain Science, Tim Blanche, Allen Institute for Brain Science, Bing Brunton, U of Washington, Matt Reynolds, U of Washington. Neural engineering approaches for hearing, sight, and memory prostheses. Adrian KC Lee, U of Washington, Josh Jacobs, Drexel University

April 25, 2014

Reminder: Abstract submission closes April 27 for Neuroinformatics 2014

by Malin Sandström

Welcome to the 7th INCF Congress of Neuroinformatics in Leiden, the Netherlands, August 25 - 27, 2014 Neuroinformatics 2014 includes keynote lectures (Margarita Behrens, Mitya Chklovskii, Daniel Choquet, Ila Fiete, Michael Milham, and Felix Schürmann), workshops, and a special symposium on population-based neuroimaging, hosted by the INCF Netherlands Node. The last day to submit your abstract is April 27, submit it here: http://www.neuroinformatics2014.org/abstracts Registration is open at http://www.neuroinformatics2014.org/registration Watch the NI2014 promo video: http://www.youtube.com/watch?v=aEudq3SOwK0 We kindly ask that you print and display the congress poster at your institution: it's available for download at http://www.neuroinformatics2014.org/documents/a0_poster_nov_2013 We're looking forward to seeing you in August! -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

April 25, 2014