May 2015 - Comp-neuro - lists.cnsorg.org

15 PhD positions for PACE, an EU funded Innovative Training Network for understanding Perception and Action in Complex Environments
by Laurent Perrinet May 19, 2016

May 19, 2016

Dear colleagues, PACE (Perception and Action in Complex Environments) is an Innovative Training Network funded by the Marie Sklodowska-Curie program of the European Union starting on April 1st, 2015. The network involves 10 academic and private full partners, from 6 European and associated countries (France, Spain, Italy, Netherlands, UK, Israel), plus 5 associated partners (private companies and public organizations). The network gathers a broad range of expertise from experimental psychology, cognitive neurosciences, brain imaging, technology and clinical sciences as well as transferable skills. The PACE network promotes interdisciplinary research and training in the field of human movement sciences with a strong emphasis on perception-action coupling in complex environments. We focus on changes of this coupling across lifespan and in pathological diseases affecting the nervous system. The goal is to train PhD students through collaborative research projects, international courses and workshops. -> 15 PhD positions, starting next fall, are offered across the different network sites. You can find a short description of the proposed PhD projects at the following link: http://www.int.univ-amu.fr/IMG/pdf/PACE_Table_positions.pdf Applications are welcome immediately and until the end of May (but some specific timing constraints may be enforced in some of the partners' sites: please get more information from local contacts). You will find further general information (sections 1 to 3), eligibility and application conditions (section 4) here: http://www.int.univ-amu.fr/-ITN-Marie-Curie-network-PACE Thanks for distributing this announcement to potential candidates, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet

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NEURAL COMPUTATION - April, 2014
by Terry Sejnowski April 24, 2016

April 24, 2016

Neural Computation - Contents -- Volume 26, Number 4 - April 1, 2014 Available online for download now: http://www.mitpressjournals.org/toc/neco/26/4 ----- Article Parametric Inference in the Large Data Limit Using Maximally Informative Models Justin Block Kinney, Gurinder Singh Atwal Letters Input Statistics and Hebbian Crosstalk Effects Anca R. Radulescu Learning Nonlinear Regularities in Natural Images by Modeling the Outer Product of Image Intensities Peng Qi, Xiaolin Hu Dissociable Forms of Repetition Priming: A Computational Model Kirill Makukhin, Scott Bolland Refined Rademacher Chaos Complexity Bounds With Applications to the Multi-Kernel Learning Problem Yunwen Lei, Lixin Ding Large Margin Low Rank Tensor Analysis Guoqiang Zhong, Mohamed Cheriet Large-scale Linear RankSVM Ching-Pei Lee, Chih-Jen Lin ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES USA Others Electronic Only Student/Retired $70 $193 $65 Individual $124 $187 $115 Institution $1,035 $1,098 $926 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders(a)mit.edu ------------

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v5.7 of NeuroMorpho.Org released on 30 May, 2014
by NeuroMorpho Administrator March 10, 2016

March 10, 2016

Version 5.7 of NeuroMorpho.Org was released on 30 May, 2014. The release included 29 new data sets (1341 reconstructions), including from three new animal species (dragonfly, moth, and sheep). The database now contains 11,335 reconstructions from 144 contributing labs. More than 3.2 million reconstructions were downloaded in over 130,000 unique visits from 146 countries. Please visit the What's new<http://neuromorpho.org/neuroMorpho/WIN.jsp> page for details on data included in this release, including new species strains, brain regions, cell types, and experimental conditions. The Acknowledgements <http://neuromorpho.org/neuroMorpho/acknowl.jsp> include details on contributing labs, and the About<http://neuromorpho.org/neuroMorpho/about.jsp> page provides an updated overview of the repository content. A new user-friendly functionality, OntoSearch<http://neuromorpho.org/neuroMorpho/OntoSearch.jsp>, was introduced in this release, enabling more powerful searches of species and strains with automated synonym translation, taxonomical relations, and keyword auto-completion. The literature coverage database was also updated to include publications through March 2014. We are continuously grateful to all the data owners who freely share their data with the community. We always appreciate any and all feedback and comments. Sincerely, The NeuroMorpho.Org team -- Ruchi Parekh, Ph.D. NeuroMorpho.Org Project Lead Postdoctoral Research Fellow Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study MS2A1, George Mason University Fairfax, VA 22030 (USA) Ph - +1-703-993-4382<tel:%2B1-703-993-4382> www.neuromorpho.org<http://www.neuromorpho.org/> nmadmin(a)gmu.edu<mailto:nmadmin@gmu.edu>?

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FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES AT ICTP, TRIESTE ITALY
by Matteo Marsili Jan. 14, 2016

Jan. 14, 2016

FACULTY POSITION IN QUANTITATIVE LIFE SCIENCES AT THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS (ICTP). ICTP is seeking applicants for a new faculty position in its recently established Quantitative Life Sciences (QLS) research section. QLS responds to the theoretical challenges arising from recent advances in large-scale experiments in biology and neurosciences. The successful applicant will play a leading role in establishing the new section, promoting cutting-edge research in quantitative biology and supervising graduate students. Areas of interest include systems biology, biological networks, systems and computational neuroscience. Applicants should have an outstanding international reputation with at least 4 years of scientific research experience. The position, which will start in October 2015, will be at the P3 UNESCO level, with a starting salary of $78100. Other benefits include family allowance, home travel, education grant for dependent children, pension plan and medical insurance. Full details of the position, along with a link to the UNESCO online application, are available on ICTP's employment webpage and at http://www.ictp.it/about-ictp/personnel-office/employment.aspx <http://www.ictp.it/about-ictp/personnel-office/employment.aspx> The deadline is 3 June 2015. For further information please contact ICTP's Personnel Office at personnel_office(a)ictp.it <mailto:personnel_office@ictp.it>. ICTP, based in Trieste, Italy, provides a top class multi-disciplinary research environment in theoretical sciences, with cutting edge research, education and training, and it has been a driving force behind global efforts for the advancement of science in the developing world.

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PhD positions in computational neuroscience
by Dan Goodman Nov. 2, 2015

Nov. 2, 2015

One or more PhD positions in computational neuroscience are available in the Neural Reckoning Group of Dan Goodman at the Department of Electrical and Electronic Engineering, Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas, including neuroinformatics (i.e simulation and analysis of neural data) or sensory neuroscience (e.g. spiking neural models in the auditory system). For more information about the group, including some suggestions for research topics, see http://neural-reckoning.org/openings.html. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial (recently ranked 2nd in the world in the QS world university rankings) and in the many neuroscience groups in London. Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (for more information, see http://www3.imperial.ac.uk/electricalengineering/courses/phd) Funding is available for at least one student, and there are several competitive funding schemes at Imperial which would provide funding for additional students. Also, please forward this message on to any of your students or colleagues with students that you think may be interested. Dan Goodman

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Neuroscience Graduate Group at the University of Pennsylvania
by Joshua Gold Oct. 8, 2015

Oct. 8, 2015

The Neuroscience Graduate Group (NGG) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2015. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and growing community of scholars in this field, including: Vijay Balasubramanian, Department of Physics Danielle S Bassett, Department of Bioengineering David H Brainard, Department of Psychology Maja Bucan, Department of Genetics Johannes Burge, Department of Psychology Alice S Chen-Plotkin, Department of Neurology Brian Chow, Department of Bioengineering Yale E Cohen, Department of Otorhinolaryngology Diego Contreras, Department of Neuroscience Christopher M Fang-Yen, Department of Bioengineering Maria Neimark Geffen, Department of Otorhinolaryngology Joshua I Gold, Department of Neuroscience John B Hogenesch, Department of Pharmacology Joseph W Kable, Department of Psychology Michael J Kahana, Department of Psychology Max Kelz, Department of Anesthesiology Brian Litt, Departments of Neurology and Bioengineering Joel D Mainland, Department of Neuroscience Javier F Medina, Department of Psychology Nicole C Rust, Department of Psychology Robert G Smith, Department of Neuroscience Alan A Stocker, Department of Psychology Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups. The application deadline for the NGG is December 1, 2014. For more details please see our website: http://www.med.upenn.edu/ngg/app_info.shtml ----- Joshua Gold University of Pennsylvania Department of Neuroscience 116 Johnson Pavilion 3610 Hamilton Walk Philadelphia, PA 19104-6074 office phone: 215-746-0028 lab phone: 215-746-0168 e-mail: jigold(a)mail.med.upenn.edu http://www.med.upenn.edu/goldlab

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Gatsby Computational Neuroscience Unit, PhD Programme
by Peter Dayan Sept. 24, 2015

Sept. 24, 2015

Gatsby Computational Neuroscience Unit, University College London 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel methods, and applications of these to the analysis of perceptual processing, neural data, machine vision and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a building, and Biosciences, Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and Statistics, the cross-faculty Centre for Computational Statistics and Machine Learning, and also with other UK and overseas universities. The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning. All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. We will review applications as soon as they are complete (including a CV, statement of research interests and letters from three referees) until the positions are filled. Early application is thus advised. Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html

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PhD studentships in computational neuroscience and machine learning
by Steuber, Volker Aug. 28, 2015

Aug. 28, 2015

Applications are invited for PhD studentships in the Biocomputation Research Group at the Science and Technology Research Institute at the University of Hertfordshire. PhD projects involve the development of computer simulations of neurons and neuronal networks to study information processing in the brain, and/or the application of machine learning techniques to analyse electrophysiological data. More details about our research and a list of potential projects can be found on our homepage (http://homepages.herts.ac.uk/~comqvs/research.html) Applicants should have good computational and numerical skills and an excellent first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Previous experience in neuroscience is not required but would be an advantage. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London. Please contact Dr Volker Steuber (v.steuber @ herts.ac.uk) for informal enquiries. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 9 June 2014.

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Neural Metrics 2.0 : Deadline approaching (June 15th)
by Marcel van Gerven June 5, 2015

June 5, 2015

Neural Metrics 2.0 : Connectomics & Large-Scale Methods The Donders Institute for Brain, Cognition and Behaviour/Radboud University is organizing a summer school on neural metrics with the aim to get participants acquainted with the quantitative analysis of neural organisation and function. In Neural Metrics 2.0 we will build on the success from the previous year, focussing on methods for understanding brain networks such as connectomics as well as large scale and Bayesian methods, with world class speakers, hands-on tutorials, student projects and an interactive debate. The topics covered range from cellular connectomics to human functional connectomics. The course is designed for PhD students and starting postdoctoral researchers working at the interface between cognitive neuroscience and the application of advanced methods. Please consult the Radboud Summer school website (http://www.ru.nl/radboudsummerschool/ <http://www.ru.nl/radboudsummerschool/>) for details on the program, social events and registration. Further details for the Neural Metrics Summer School can be found below and on the website (http://www.ru.nl/radboudsummerschool/courses/brain-behaviour/@972443/neural… <http://www.ru.nl/radboudsummerschool/courses/brain-behaviour/@972443/neural…>). Dates : Monday 10 August - Friday 14 August 2015 (1 week) Application Deadline : 15 June 2015 Course leaders : Bernhard Englitz, Marcel van Gerven, Fleur Zeldenrust, Tansu Celikel Donders Institute for Brain, Cognition and Behaviour & Radboud University Participant profile : This course was developed for PhD students and early postdoctoral researchers working at the interface between cellular and cognitive neuroscience requiring advanced methods of analysis. This includes research in the field of Neuroscience with an MSc in Biology, Computer Science, Psychology, Physics, Al, Mathematics, Engineering or a similar major. Admission requirements : As part of the admission procedure, we ask you to send us your CV and a brief motivation letter in which you explain your interest in our course. Course fee : 600 Euros The course fee includes the registration fee, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities. Accommodation is available for the course participants (additional charges apply). For details please see http://www.ru.nl/radboudsummerschool/practical-matters/housing/ <http://www.ru.nl/radboudsummerschool/practical-matters/housing/> Discounts : • 15% discount for students and PhD candidates from Radboud University and partner universities, Confirmed Speakers (alphabetical): > Misha Ahrens (HHMI, Janelia) > Matthias Bethge (University Tübingen) > Vincent Bonin (VIB, Leuven) > Romain Brette (Institut de la Vision, Paris) > Kevin Briggman (NIH, Bethesda) > Tansu Celikel (Donders Institute, Nijmegen) > Moritz Helmstädter (MPI for Brain Research, Frankfurt) > Henry Kennedy (INSERM, Lyon) > Timm Lochmann (TU Berlin) > David Norris (Donders Institute, Nijmegen) > Rémi Proville (Donders Institute, Nijmegen) > Andrew Reid (FZ Jülich) > Jan Schnupp (Oxford University) > Alessandro Treves (SISSA, Trieste) > Fleur Zeldenrust (Univ. Amsterdam)

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Reminder: NCCD-2015 registration deadline
by pedro goncalves May 31, 2015

May 31, 2015

New early registration deadline: June 4th. The list of oral and poster presentations can be found at http://www.gatsby.ucl.ac.uk/nccd/nccd15/abstracts/ *********************************************************** Neural Coding, Computation and Dynamics (NCCD) August 30 - September 2, 2015 Bilbao, Spain http://www.gatsby.ucl.ac.uk/nccd/nccd15/ The goal of this workshop is to bring together experimentalists and theoreticians who seek to understand how circuit dynamics underlies representation and function in the nervous system, and to foster real discussion. This year the workshop will focus on the interplay between excitation (E) and inhibition (I) in cortical circuits. The balance between E and I, an idea proposed twenty years ago to account for the stochastic nature of cortical activity, has been seminal in the understanding of basic principles of neural network dynamics. We are seeking talks that, building on this paradigm, present recent findings on topics such as neuronal variability and stochastic dynamics, the role of the different subtypes of interneurons, plasticity and structure in EI networks, brain state and network dynamics, etc. The workshop will be limited to about 70 people, the hope being to foster real interaction and discussion. Important dates: May 15: Abstracts due (there will be posters and contributed talks) June 4th: Early registration due Confirmed invited speakers: Dean Buonomano, University of California at Los Angeles Jess Cardin, Yale School of Medicine Sophie Denève, ENS Brent Doiron, University of Pittsburgh Andrea Hasenstaub, UCSF Mike Hausser, UCL Carl Petersen, Ecole Polytechnique Federale de Lausanne Karel Svoboda, Janelia Farm Tim Vogels, University of Oxford Fred Wolf, University of Gottingen Best, Peter Latham Jaime de la Rocha Maneesh Sahani Pedro Goncalves Co-organizers

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