July 2014 - Comp-neuro - lists.cnsorg.org

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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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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New book "Understanding Vision: theory, models, and data"
by Zhaoping Li Feb. 13, 2015

Feb. 13, 2015

This book "Understanding Vision: theory, models, and data" is published by Oxford University Press in May 2014 and, by now, it is available from various online sites and shops worldwide. For more information, go to http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html The book's Table of Contents can be viewed at http://www0.cs.ucl.ac.uk/staff/zhaoping.li/prints/TableOfContents.pdf Teaching and learning support for the book (e.g., ppt files for the figures in the book) is also available and will be updated at http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html . Readership: Computational neuroscientists, visual psychologists/cognitive scientists, Visual neuroscientists/physiologists/anatomists, Researchers in machine vision or computer vision or robot vision The book is written in such a way that vision scientists, unfamiliar with mathematical details, should be able to conceptually follow the theoretical principles and their relationship with physiological, anatomical, and psychological observations, without going through the more mathematical pages. For those with a physical science background, especially those from machine vision, this book serves as an analytical introduction to biological vision. It can be used as a textbook or a reference book in a vision course, or a computational neuroscience course for graduate students or advanced undergraduate students. It is also suitable for self-learning by motivated readers. In addition, for those with a focused interest in just one of the topics in the book, it is feasible to read just the chapter on this topic without having read or fully comprehended the other chapters. In particular, Chapter 2 presents a brief overview of experimental observations on biological vision; Chapter 3 is on encoding of visual inputs, Chapter 5 is on visual attentional selection driven by sensory inputs, and Chapter 6 is on visual perception or decoding. Please let me know if you need more information. best wishes, Li Zhaoping

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2 Post-doc positions on the relation of information and causation (Prof. Giulio Tononi)
by Larissa Albantakis Dec. 17, 2014

Dec. 17, 2014

Up to 2 postdoctoral positions are available at the center for sleep and consciousness science in the laboratory of Dr. Giulio Tononi (University of Wisconsin, Madison), to study the relation of information and causation within the framework of the integrated information theory of consciousness (Balduzzi & Tononi, 2008; Tononi, 2012). Immediate funding is available for a range of projects related to foundational questions regarding the ontological status of information, and its relation to causation, emergence, adaptation, evolution, and consciousness (see detailed scope of work below). Successful candidates will work at the center for sleep and consciousness science, dedicated to a broad range of research problems focused on two neurobiological problems -- the mechanisms and functions of sleep and the neural substrates of consciousness. Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. For at least one of the positions, we explicitely encourage mathematicians to apply. Experience in information theory, complex systems, and an interest in the philosophy of information/causation are a plus. Programming experience is required (knowledge of MATLAB and/or C++ is of advantage). Appointments are renewable from year to year for up to 3 years, starting as soon as possible or until the positions are filled. Post-doc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Giulio Tononi, gtononi(a)wisc.edu. Balduzzi D, Tononi G (2008) Integrated information in discrete dynamical systems: motivation and theoretical framework. /PLoS Comput Biol/ 4:e1000091. Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal emergence shows that macro can beat micro. /PNAS/, /110/(49), 19790--19795. Tononi G (2012) Integrated Information Theory of Consciousness: An Updated Account. /Arch Ital Biol/ 150:56--90. The scope of work will range from: -theoretical development and computational implementation of the notion of intrinsic causal information -causal analysis, including the systematic use of perturbations, counterfactuals, and irreducibility -analysis of complex systems in terms their causal/informational structure -meaning (understanding and control) from the intrinsic perspective of the system -actual causation (causal explanation) -examining similarities and differences between existing notions of information and causation (Shannon information, algorithmic information,...) -defining emergence in terms of the spatio-temporal grain size at which a system of elements achieves a maximum of causal power -evolutionary/adaptive aspects of information/causation including simulations based on small adaptive neural networks (animats), which evolve and adapt to an environment that requires sensitivity to context for survival

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Open Position: Software Developer in Neuroinformatics at LMU Munich
by Thomas Wachtler July 31, 2014

July 31, 2014

At the German Neuroinformatics Node (G-Node, http://www.g-node.org) Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field bring the challenge of large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods. Current developments include a data sharing platform and tools for metadata management and data annotation. G-Node is part of the Bernstein Network Computational Neuroscience (http://nncn.de) is collaborating with the International Neuroinformatics Coordination Facility (INCF, http://incf.org) Secretariat and other INCF National Nodes, and is involved in teaching and training activities. The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks will include contributing to the development and enhancement of G-Node tools and services (http://www.g-node.org/tools-and-services) working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions. Candidates should have excellent programming skills, preferably in Python and C++ or Java, knowledge about relational databases, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in further fields of relevance, such as web development (Javascript, HTML/CSS, web frameworks), semantic web technologies, scientific software and analysis, experimental or computational neuroscience, would be beneficial. The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension. Severely disabled applicants will be given preference in case of equal qualification. Applications by women are specifically encouraged. Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled. Applications should be sent, preferably as pdf file by email, to Thomas Wachtler <wachtler(a)bio.lmu.de> -- Dr. Thomas Wachtler <wachtler(a)bio.lmu.de> Scientific Director German Neuroinformatics Node Department Biology II Ludwig-Maximilians-Universität München Grosshaderner Str. 2 82152 Planegg-Martinsried Germany

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Postdoctoral Position in Computational Motor Control
by Jon Sensinger July 31, 2014

July 31, 2014

A postdoctoral position in computational motor control is available to apply optimal control and computational motor control methods to improve the control, sensory feedback, and outcome measures used in prosthetics. The successful applicant will join an interdisciplinary team at the University of New Brunswick’s Institute of Biomedical Engineering that includes scientists, clinicians, and engineers focused on improving clinically viable prostheses and exoskeleton design and control. He or she will be expected to leverage research from the broader neuroscience research community to develop computational approaches for addressing real-world problems, and will have the opportunity to interact on a daily basis with patients. This collaborative project is performed jointly by the groups of Drs. Jon Sensinger (Institute of Biomedical Engineering, University of New Brunswick, Canada) Levi Hargrove (Center for Bionic Medicine, Rehabilitation Institute of Chicago, USA), and Konrad Kording (Northwestern University, Chicago USA). A layman’s overview of the project is video-scribed here: https://www.youtube.com/watch?v=eEzbuiJi0T0 Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent Matlab programming skills. Previous experience in computational motor control or optimal control is a plus. Interested candidates are encouraged to contact Dr. Sensinger (j.sensinger(a)unb.ca<mailto:j.sensinger@unb.ca>) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Dr. Sensinger will be available to answer questions and discuss this job opportunity with potential candidates at the EMBC 2014 meeting in Chicago, USA (August 27-30). Jon Sensinger, PhD Associate Director, Institute of Biomedical Engineering Associate Professor, Electrical and Computer Engineering University of New Brunswick http://www.ece.unb.ca/jsensing Twitter: @jsensinger LinkedIn: http://www.linkedin.com/pub/jon-sensinger/9a/1b2/a09

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[meetings] ICANN 2014 - Final Program and Call for Participation
by Stefan Wermter July 31, 2014

July 31, 2014

------------------------------------------------------------------- Call for Participation and Conference Program ICANN 2014: 24th Annual Conference on Artificial Neural Networks 15 - 19 September 2014, University of Hamburg, Germany http://icann2014.org/ =================================================================== We invite you to attend the 2014 International Conference on Artificial Neural Networks (ICANN), which is the annual flagship conference of the European Neural Network Society (ENNS). In 2014 the University of Hamburg will organize the 24th ICANN Conference from 15th to 19th September 2014 in Hamburg, Germany. CONFERENCE PROGRAM: The main conference program is now available. The program includes 72 oral presentations, 33 posters and 2 live Demonstrations. http://icann2014.org/program/ REGISTRATION: The ICANN 2014 registration is open. The full registration costs 490 € and 390 € for students. ENNS members pay a reduced rate of 440 €, and 340 € for students. The registration includes access to scientific sessions and plenary talks, coffee breaks during the main conference, welcome event, conference dinner, one copy of the proceedings (USB), one conference bag. Additional tickets for the conference dinner can be purchased for 70 €. http://icann2014.org/registration/ VENUE AND TRANSPORTATION: Hamburg is the second-largest city in Germany, home to over 1.8 million people. Situated at the river Elbe, the port of Hamburg is the second-largest port in Europe. The University of Hamburg is the largest institution for research and education in the north of Germany. The venue of the conference is the ESA building of the University of Hamburg, situated at Edmund-Siemers-Allee near the city centre and easily reachable from Dammtor Railway Station. Hamburg Airport can be reached easily via public transport. ACCOMMODATION: For the accomodation we arranged guaranteed rates for a couple of hotels in Hamburg for ICANN 2014. http://icann2014.org/accommodation/ CHAIRS and ORGANISATION: General Chair: Stefan Wermter (Hamburg, Germany) Program co-Chairs Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President) Wlodzislaw Duch (Torun, Poland, ENNS Past-President) Timo Honkela (Helsinki, Finland) Petia Koprinkova-Hristova (Sofia, Bulgaria) Günther Palm (Ulm, Germany) Cornelius Weber (Hamburg, Germany) Local Organizing Committee Chairs: Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen Jirak, Katja Koesters, Erik Strahl KEYNOTE SPEAKERS: Christopher M. Bishop (Microsoft Research, Cambridge, UK) Jun Tani (KAIST, Daejeon, Republic of Korea) Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain) Yann LeCun (New York University, NY, USA) Barbara Hammer (Bielefeld University, Bielefeld, Germany) Kevin Gurney (University of Sheffield, Sheffield, UK) CONFERENCE TOPICS: ICANN 2014 will feature the main tracks Brain Inspired Computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE WEBSITE: http://www.icann2014.org *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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FINAL CALL for Goettingen's 12th annual comp-neuro summer course. DEADLINE: Aug. 6th.
by Maximilian Puelma Touzel July 29, 2014

July 29, 2014

Final call for applicants to apply to the 12th summer course on COMPUTATIONAL NEUROSCIENCE in Göttingen, Germany September 08th - 12th, 2014 Organized by Agostina Palmigiano, Joscha Liedtke and Maximilian Puelma-Touzel Sponsored by -the Bernstein Centre for Computation Neuroscience, Göttingen -the International Max Planck Research School for the Physics of Biological and Complex Systems -the Goettingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences ______________________________ The course is intended to provide graduate students and young researchers from within and outside of neuroscience with working knowledge of theory and analysis methods used in the field and to acquaint them with recent developments therein. The focus of this year's course is modelling and theory of neuronal ensembles. The course includes tutorials and lectures from the following researchers: * Carl Van Vreesijk, Universite Rene Descartes, Paris, France * Claudia Clopath, Imperial College London, London, England * Srdjan Ostojic, École Normale Supérieure, Paris, France * Gasper Tkacik, Institute of Science and Technology, Vienna, Austria * Alfonso Renart, Champalimaud Centre for the Unknown, Lisbon, Portugal The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. Course language is English. To apply please fill out the application form at: http://www.bccn-goettingen.de/events/cns-course by *August 6, 2014* Best wishes and looking forward to seeing you in Göttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile mptouzel(a)nld.ds.mpg.de www.nld.ds.mpg.de

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Postdoc in computational neuroscience
by Joaquín Navajas July 29, 2014

July 29, 2014

Post doc in computational neuroscience (Centre for Systems Neuroscience - University of Leicester, UK) Spike sorting is the classification of single neurons from extra cellular recordings based on their spike shapes. The main focus of your research will be the study and implementation of optimal spike detection and sorting techniques. For this you will study different techniques to improve the spike detection and sorting results and will then implement these advances in a graphic user interphase and in batch codes to run in matlab. Link for more details: http://www.le.ac.uk/jobs/external/SEN00493_Job_Summary.pdf <https://email.le.ac.uk/owa/redir.aspx?C=6xLmoEDA8kadrrcI2z0-IpKjtXikftEISUM…> Informal enquiries are welcome and should be made to Sue Atkinson, Research Centre Manager, sam45(a)le.ac.uk <https://email.le.ac.uk/owa/redir.aspx?C=RXnrNoZO4k-7v7qrCHbb4FuwAk44fdEIFNi…> or 0116 252 3249

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CNS workshop
by Jonathan Rubin July 29, 2014

July 29, 2014

Dear Comp-Neuro members who are attending the CNS*2014 meeting, We are happy to invite you attend the workshop “Dynamics of Disease States” that will take place on Wednesday, July 30th at the CNS*2014 meeting in Quebec. The workshop will be held in room 2104A and the full program is available at: http://wwwhome.math.utwente.nl/~gilssa/cns2014/?page=program best regards, Stephan van Gils and Jon Rubin

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Columbia+Janelia postdoc positions: zebrafish computational neuroscience and machine learning
by Liam Paninski July 28, 2014

July 28, 2014

Colleagues, Will you please circulate this postdoc ad amongst your students or anyone else who might be interested: http://grossmancenter.columbia.edu/zebrafish.html? Thank you. Liam Paninski ------------------------------------------------------------------------------------------ Postdoctoral position in large-scale computational neuroscience A full-time postdoctoral position is available immediately, jointly between Columbia University's Grossman Center for the Statistics of Mind and HHMI's Janelia Research Campus. The aim is to understand whole-brain activity at the cellular level using large-scale computational methods. The position is co-supervised by Liam Paninski, John Cunningham and Larry Abbott (at Columbia) and Jeremy Freeman and Misha Ahrens (at Janelia Research Campus) and is centered around understanding the dynamics of all neurons in the brain of behaving larval zebrafish. We use light-sheet imaging to record simultaneously from most of the ~10^5 neurons during behavior, and use large-scale cluster computing and machine learning, statistics, and modeling to gain insight into how brain-wide network dynamics underlies behavior. The position will be based at Columbia University and HHMI Janelia Research Campus, and we will encourage applicants to spend time at both campuses. Requirements: Qualifications include primarily a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning, or a related field. Backgrounds in analyzing large neural datasets, modeling complex neural systems, and in cutting-edge machine learning will be particularly valuable. These positions are highly quantitative and highly interdisciplinary; applicants should have a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience. Appointment: The initial appointments will be for one year, and are renewable. Salaries will be set based on experience and skills. Applicants should send an email to zebrafish.computation(a)gmail.com providing: 1. a one-page description of past research experience 2. a one-page description of future research interests and goals 3. a resume of educational and research experience, including publications 4. names of three people who could provide letters of reference All materials should be in pdf or plain text. Applications will be reviewed as they arrive until the positions are filled; interested candidates are encouraged to express their interest early. Due to demand, we may not be able to reply to all applications.

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ONLY FOR STUDENTS - 2 weeks mini computational neuroscience freelance project for students from home
by Robert Schindle July 28, 2014

July 28, 2014

Hello All, We are currently working on a project in the field of computational neuroscience which requires some help with analyzing data and documenting the research within the next 2 weeks. We are looking for someone with good c++ and Python skills. You will be compensated accordingly. If you are interested please contact us immediately so that we can discuss other details and start the work immediately. Thanks a lot, Robert Schindle.

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Postdoctoral Position- Arizona
by Jean-Marc July 26, 2014

July 26, 2014

The Computational and Experimental Neuroscience Laboratory is looking to fill a position for a Postdoctoral Research Fellow. The research project is geared towards understanding the role of awake hippocampal replay in spatial navigation. The techniques used include high density electrophysiology in the behaving rat. The project is multidisciplinary and involves collaboration with a robotics team (University of Florida, Tampa) and a computational neuroscience team (INSERM, Lyon, France). Good communication skills are necessary. This position is appropriate for a computational neuroscientist with some experimental background interested in branching out to experimental neuroscience. Applicants with a subset of the following skill set are strongly encouraged to apply: - Scientific expertise or interests in hippocampus and/or prefrontal-cortex - Electrophysiology (in vivo chronic behaving or in vitro) - Behavioral Neuroscience (rat training/testing) - General laboratory skills (e.g. histology, surgery) - Matlab programming and spike-data analyses Applicant should send a cover letter, CV and the names of at least 2 references to Dr. Jean-Marc Fellous (fellous(a)email.arizona.edu) The search is ongoing and is projected to be completed by October 30th, 2014. Information about the laboratory can be found at: http://amygdala.psychdept.arizona.edu/lab.html The CENL and the University of Arizona are committed to maintaining a diverse and inclusive work environment and women and minorities are encouraged to apply. The University of Arizona is an equal opportunity, affirmative action employer.

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Postdoctoral positions: Memory, motor, & learning dynamics
by Mark Goldman July 25, 2014

July 25, 2014

Two theoretical postdoctoral positions and 1-2 collaborative experiment-theory positions are available in the laboratory of Dr. Mark Goldman at the University of California at Davis.The lab works on a broad range of problems in computational neuroscience ranging from neural coding to dynamics and plasticity of single neurons and networks. Immediate funding is available for a range of projects related to working memory, neural integration, motor learning, and synaptic plasticity as described below.The postdoctoral candidate also would have flexibility to work on a range of issues of his or her choosing.Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical neuroscience, physics, mathematics, computer science, or engineering.The postdoctoral candidate will have ample opportunity to interact within the vibrant computational and systems neuroscience communities at UC Davis and the greater San Francisco Bay Area. Candidates should send a CV, brief statement of previous research and future research interests, and contact information for three references to: Mark Goldman, msgoldman(a)ucdavis.edu. Specific positions with funding include: 1) *Theoretical positions:Dynamics of memory and motor-related neural activity* /Challenging the attractor picture of working memory/.In the traditional attractor picture of working memory, memory storage results from positive feedback processes that lead to the formation of self-sustained attractors.In one project, we are exploring how functionally feedforward, rather than feedback, network architectures can generate flexible codes for storing memories and producing a broad range of input-output transformations.In a second project, we are utilizing methods from engineering control theory to show how balanced cortical networks can utilize negative feedback to stabilize persistent patterns of neural activity. /Multi-scale modeling of neural integration./The oculomotor neural integrator, which transforms eye-velocity encoding motor commands into eye-position encoding commands, is a model system for understanding the mathematical integration of inputs and the maintenance of memory-storing activity.We seek to determine the respective roles of cellular and circuit mechanisms of memory storage in this system.Multi-scale models, from ion channels to behavior, will be generated based upon electrophysiological and optical imaging recordings and optogenetic manipulations performed in our experimental collaborators' laboratories. /Context-dependent memory storage./Recent experiments suggest that the oculomotor neural integrator functions in a context-dependent manner, producing spatially distinct activity patterns depending upon whether eye movements are being made in the context of rapid changes in gaze (saccades) versus smooth tracking of moving objects.We seek to determine the circuit mechanisms underlying this context-dependent activity and to propose general frameworks, applicable to both oculomotor and cortical memory systems, for how multiple context-dependent inputs can be separately stored in a single network. /Role of the granule cell layer in cerebellar motor learning./The eye movement system provides a highly tractable setting for studying motor learning because it is well-characterized experimentally and has fewer degrees of freedom than more complicated movement systems.In collaboration with whole-circuit optical imaging and optogenetic perturbation experiments in the Aksay laboratory at Cornell Medical University and genetic manipulations, electrophysiological recording, and optogenetic perturbations in Jennifer Raymond's laboratory at Stanford University, we are modeling the neural dynamics and coding of cerebellar granule neurons and their relation to Purkinje cell firing and the plasticity of eye movement behaviors. 2) *Experimental positions:* *Development, dynamics, and plasticity of neural networks: *In collaboration with Kim McAllister (kmcallister(a)ucdavis.edu <mailto:kmcallister@ucdavis.edu>), we are seeking to understand the learning rules underlying development and learning in neural networks. We will use cutting-edge technology in patterned substrates, optogenetics, and uncaging in a novel long-term imaging assay for synapse dynamics that allows recording and single synapse or single cell manipulation of neuronal and network activity. These cultured networks will be used to directly test central tenets of Hebbian, spike-timing dependent, and homeostatic learning over development. The applicant will perform these imaging experiments as well as apply theoretical models to better understand and predict our results. *Dynamics of memory and motor-related neural activity:*There are also possibilities for joint experimental-theoretical work with Emre Aksay's laboratory at Weill Medical College of Cornell University (in New York City) on either oculomotor memory storage or cerebellar motor learning, using /in vivo/ two-photon optical recording and stimulation to dissect circuit function and plasticity.Interested candidates should contact Dr. Aksay at ema2004(a)med.cornell.edu <mailto:ema2004@med.cornell.edu>.

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PhD Position in Brain-Inspired Computing (Theory)
by Mihai A. Petrovici July 25, 2014

July 25, 2014

The Kirchhoff-Institut für Physik at the Ruprecht-Karls-Universität Heidelberg (Germany) has an immediate opening for a * PhD Position in Brain-Inspired Computing (Theory)* The position is located in the Electronic Vision(s) Lab of Prof. Karlheinz Meier. The group develops large-scale hardware for brain-inspired computing and investigates novel theoretical paradigms of neural computation. The Heidelberg group works on the development of brain-inspired electronic circuits, so-called neuromorphic systems. These systems implement physical models of neurons and synapses in-silico, with fully configurable parameters and connectivity. Throughout a series of international projects, the hardware systems have evolved from single chips to wafer-scale devices with hundreds of thousands of neurons (Schemmel et al., 2010) and are planned to be further scaled up in the framework of the EU Human Brain project (HBP). The configurability of these systems fosters their use as general-purpose emulation devices for neuroscientific research (Pfeil et al., 2013). Their intrinsic parallelism, low power consumption and high acceleration sets them apart from conventional computing architectures. The heterogeneity of neuromorphic substrates requires novel theoretical approaches (Petrovici et al., 2014). The Heidelberg group is also involved in theoretical research and modeling of spike-based computational principles. In particular, the use of stochasticity for Bayesian inference is a major focus. These models provide useful architectures for machine learning, while at the same time advancing the study of possible computational paradigms in the mammalian neocortex (Petrovici et al., 2013). The successful candidate will join the theory and modeling section of the group in developing new stochastic models that exploit the heterogeneity of the hardware substrate, thereby benefitting from its significant speed advantage over conventional simulators. ------------------------------------------ Candidates are expected to hold a Masters degree or equivalent in Physics, Mathematics, Computer Science or a related discipline. Knowledge in neuroscience is not required but would be an advantage. The candidates should have a deep interest in theoretical and computational neuroscience, as well as excellent mathematical abilities. An important part of their work will consist in acquiring new skills from various fields of neuroscience, as required by the interdisciplinary nature of the research topic. The successful candidates will use complex simulation software and are therefore required to have very good programming skills. ------------------------------------------ Applications should addressed to Prof. Karlheinz Meier (meierk(a)kip.uni-heidelberg.de) and Mihai Petrovici (mpedro(a)kip.uni-heidelberg.de) including the following information in a single pdf-file : - Statement of research - CV - Two names (with email addresses) of suggested referees - Copies of university degrees and additional certificates - URLs of master /diploma) thesis and related publications

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CNS*14 Tutorial on Neuronal Model Parameter Search Techniques
by Cengiz Günay July 24, 2014

July 24, 2014

Dear colleagues, You are invited to attend our shortly upcoming full-day tutorial session at CNS*2014 in Quebec City. *Where:* Organization for Computational Neurosciences (OCNS) Conference, Quebec City Conference Center, Room 2105 *When:* Saturday July 26, 2014 between 9am - 4:30pm *T9: Neuronal Model Parameter Search Techniques* Parameter tuning of model neurons to mimic biologically realistic activity is a non‐trivial task. Multiple models may exhibit similar dynamics that match experimental data – i.e., there is no single “correct” model. To address this issue, the ensemble modeling technique proposes to represent properties of living neurons with a set of neuronal models. Several approaches to ensemble modeling have been proposed over the years, but the two most prevalent parameter tuning methods are systematic “brute‐force” searches [1, 2] and various evolutionary algorithms‐based techniques [3, 4, 5, 6]. Both approaches relay on traversing a very large parameter space (with thousands to millions of model instances), but utilize diametrically different ways to accomplish that. In both cases, however, entire collections of biologically realistic models are generated, whose neural activity characteristics can then be cataloged and studied using a database [1, 2]. The tutorial covers “tips and tricks,” as well as various pitfalls in all stages of model construction, large‐scale simulations on high performance computing clusters [S2], database construction and analysis of neural data, along with a discussion about the strengths and weaknesses of the two parameter search techniques. We will review software implementations for each technique: PANDORA Matlab Toolbox [7][S1] for the brute force method and NeRvolver (i.e., evolver of nerve cells) for evolutionary algorithms. PANDORA was used in recent projects for tuning models of rat globus pallidus neurons [2][M1], lobster pyloric network calcium sensors [8][M2], leech heart interneurons [9][M3,S3] and hippocampal O‐LM interneurons (Skinner Lab, TWRI/UHN and Univ. Toronto). NeRvolver is a prototype of a computational intelligence‐based system for automated construction, tuning, and analysis of neuronal models, which is currently under development in the Computational Intelligence and Bio (logical) informatics Laboratory at Delaware State University [10]. Through the utilization of computational intelligence methods (i.e., Multi‐Objective Evolutionary Algorithms and Fuzzy Logic), the NeRvolver system generates classification rules describing biological phenomena discovered during the process of model creation or tuning. Thus in addition to producing neuronal models, NeRvolver provides–via such rules–insights into the functioning of the biological neurons being modeled. In the tutorial, we will present basic functionalities of the system and demonstrate how to analyze the results returned by the software. We will allocate enough time for Q&A and if participants bring a laptop pre‐loaded with Matlab, they can follow some of our examples. *Lecturers/Organizers:* Cengiz Günay, Anca Doloc-Mihu (Emory University, USA) Vladislav Sekulić (University of Toronto, Canada), Tomasz G. Smolinski (Delaware State University, USA) *References * [1] Astrid A. Prinz, Cyrus P. Billimoria, and Eve Marder. Alternative to hand‐tuning conductance‐based models: Construction and analysis of databases of model neurons. J Neurophysiol, 90:3998–4015, 2003. [2] Cengiz Günay, Jeremy R. Edgerton, and Dieter Jaeger. Channel density distributions explain spiking variability in the globus pallidus: A combined physiology and computer simulation database approach. J. Neurosci., 28(30):7476–91, July 2008. [3] Pablo Achard and Erik De Schutter. Complex parameter landscape for a complex neuron model. PLoS Comput Biol, 2(7):794–804, Jul 2006. [4] Tomasz G. Smolinski and Astrid A. Prinz. Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron. In Proceedings of the International Joint Conference on Neural Networks, pages 2964–2970, Atlanta, GA, 2009. [5] Tomasz G. Smolinski and Astrid A. Prinz. Multi‐objective evolutionary algorithms for model neuron parameter value selection matching biological behavior under different simulation scenarios. BMC Neuroscience, 10(Suppl 1):P260, 2009. [6] Damon G. Lamb and Ronald L. Calabrese. Correlated conductance parameters in leech heart motor neurons contribute to motor pattern formation. PLoS One, 8(11):e79267, 2013. [7] Cengiz Günay, Jeremy R. Edgerton, Su Li, Thomas Sangrey, Astrid A. Prinz, and Dieter Jaeger. Database analysis of simulated and recorded electrophysiological datasets with PANDORA’s Toolbox. Neuroinformatics, 7(2):93–111, 2009. [8] Cengiz Günay and Astrid A. Prinz. Model calcium sensors for network homeostasis: Sensor and readout parameter analysis from a database of model neuronal networks. J Neurosci, 30:1686–1698, Feb 2010. NIHMS176368,PMC2851246. [9] Anca Doloc‐Mihu and Ronald L. Calabrese. A database of computational models of a half‐center oscillator for analyzing how neuronal parameters influence network activity. J Biol Phys, 37(3):263–283, Jun 2011. [10] Emlyne Forren, Myles Johnson‐Gray, Parth Patel, and Tomasz G. Smolinski. Nervolver: a computational intelligence‐based system for automated construction, tuning, and analysis of neuronal models. BMC Neuroscience, 13(Suppl 1):P36, 2012. -Cengiz -- Cengiz Gunay Postdoctoral Fellow, Dept. of Biology Visiting Faculty, Dept. of Math & CS Emory University cgunay(a)emory.edu http://www.biology.emory.edu/research/Prinz/Cengiz/

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Announcement: GENESIS 2.4 beta tutorial at CNS
by Hugo Cornelis July 23, 2014

July 23, 2014

This is a public announcement of the GENESIS-2.4 tutorial at the Computational Neuroscience meeting (CNS) in Quebec City and the official public beta release of GENESIS 2.4. This new release includes support for spike-timing dependent plasticity in large networks of multicompartmental cells, bug fixes, comes with new python utilities and tutorial materials. The "Ultimate GENESIS Tutorial Distribution", included in this release, contains updated course materials for the tutorial Constructing biologically realistic neuron and network models with GENESIS. The tutorial brings together material that is available as separate downloads from the GENESIS web site and through the GENESIS Users Group. It includes several simulator-independent tutorials on biologically realistic neural modeling, as well as both tutorial and research simulations that have been implemented with GENESIS. The latest version of this GENESIS tutorial distribution will be available at http://genesis-sim.org/GENESIS/UGTD.html. The GENESIS tutorial at the CNS meeting is introductory and aimed at people who are new to or have only elementary knowledge about the GENESIS-2 simulator, as well as those who have used GENESIS in the past and would like to learn of new developments in cortical network modeling with GENESIS. * introduction and overview ** Why are we doing this? ** resources ** installation and configuration overview * single neuron modeling and visualization * debugging model and script * fast simulations with hsolve * network modeling * spike-timing dependent plasticity During the last hour of the tutorial, I will show in detail how to technically debug models, scripts and source code, at various levels of implementation. The latest news can always be found at http://genesis-sim.org/GENESIS/ -- Hugo -- Hugo Cornelis Ph.D. GENESIS-3 -- lead architect http://www.genesis-sim.org/ Neurospaces Project Architect http://www.neurospaces.org/

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Brian tutorial at CNS meeting in Québec City
by Marcel Stimberg July 23, 2014

July 23, 2014

**Brian tutorial at CNS meeting in Québec City** Everyone interested in simulating spiking neural networks is invited to join us for a tutorial on the "Brian simulator": 9am-4.30pm, Saturday, 26th July 2014 in Québec City The tutorial is part of the OCNS meeting's tutorials (http://www.cnsorg.org/cns-2014-tutorials) and takes place in room 2101 of the Québec City Conference Center. It will demonstrate the use of Brian 2, a major update of the Brian simulator which further improves its flexibility and adds exciting new code generation abilities. We will provide an introduction to Brian in the morning (no prior knowledge of Brian necessary) and discuss more advanced topics (including the new code generation features) in the afternoon. We recommend participants to install the current version of Brian 2 beforehand; installation instructions, the schedule and additional material can be found here: http://briansimulator.org/brian-tutorial-at-cns-2014/ Best regards, Marcel Stimberg

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Faculty Position in Computational Neuroscience at the University of California, Irvine
by Jeff Krichmar July 23, 2014

July 23, 2014

Dear Computational Neuroscientists, The following job position may be of interest to many of you. ************************** University of California, Irvine Faculty Position in Computational Neuroscience The Department of Cognitive Sciences (www.cogsci.uci.edu) at the University of California, Irvine (UCI) invites applications for a faculty position at the Associate or Full Professor level. We are especially interested in candidates who use mathematical, computational, or robotics approaches to study the neural basis of cognition in any of these areas: (1) vision, hearing, and attention; (2) memory and decision-making; (3) learning and development; (4) language. Applicants whose research relates to human behavior are preferred. A strong record of publications and extramural funding is essential. Exceptional candidates at the Assistant Professor level will also be considered. The online application includes: A cover letter, CV, research and teaching statements, 3 recent publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF02452. To ensure full consideration, please complete the application by November 15, 2014. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. ************************** Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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GENESIS 2.4 beta release and modeling tutorials
by Dave Beeman July 23, 2014

July 23, 2014

There is now a stable public beta release of GENESIS 2.4 available on the web site for the GENESIS neural simulator. Although there have been development releases of GENESIS 3, this is the first new release of GENESIS 2 since the March 2006 release of GENESIS 2.3. This new release was made necessary by the many improvements and user contributions over the past few years, and the incorporation of new objects for efficiently modeling synaptic plasticity in large networks of realistic multicompartmental cells. The final release will be in November 2014. There is also a new July 2014 version of the "Ultimate GENESIS Tutorial Distribution", a complete self-paced GENESIS modeling course, combined with GENESIS binary and source distributions and installation instructions. It provides an easy way to get everything by downloading a single package. This was prepared as course materials for the tutorial "Constructing biologically realistic neuron and network models with GENESIS" to be given on July 26th at CNS 2014. These may be downloaded from the GENESIS 2 home page at http://genesis-sim.org/GENESIS/ Those who wish to follow or contribute to the development of the final release can get the latest versions at the github repository: https://github.com/dbeeman/genesis-2.4beta-files Dave Beeman ------------------------------------------------------------ Prof. David Beeman, GENESIS Users Group Dept. of Electrical, Computer, and Energy Engineering University of Colorado, Boulder, CO 80309 email: genesis(a)genesis-sim.org - dbeeman(a)colorado.edu GENESIS 2 WWW site: http://genesis-sim.org/GENESIS/ ------------------------------------------------------------

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CNS-2014 - Workshop on Cortical Oscillations: Computational Models and Dynamic Mechanisms
by Horacio G. Rotstein July 22, 2014

July 22, 2014

Dear colleague, We would like to bring to your attention the forthcoming Workshop on "Cortical Oscillations: Computational Models and Dynamics Mechanisms" as part of the Computational Neuroscience Meeting, Juy 26 - 31, Quebec City, Canada. The detailed program including the list of speaker and talk titles can be found in the following link: http://web.njit.edu/~horacio/CNS-2014/CNS-2014_WorkshopCorticalOscillations… Sincerely, Mark Kramer and Horacio Rotstein -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein Associate Professor Department of Mathematical Sciences New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neuroscience Program Rutgers University (NWK) and Federated Department of Biological Sciences Rutgers / NJIT tel: (1-973) 596-5306 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

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Videos online: Workshop on Cortical Spreading Depression (CSD) and Related Neurological Phenomena
by Markus A Dahlem July 22, 2014

July 22, 2014

*18 VIDEOS online available: * *Workshop on Cortical Spreading Depression (CSD) and Related Neurological Phenomena* http://www.fields.utoronto.ca/video-archive/event/294/2014 Organizers: K. C. Brennan (Neurology,U Utah), Markus A. Dahlem (Physics, Humboldt U, Berlin), Huaxiong Huang (Math. & Statistics, York U), Robert M. Miura (Math. Sci. and Biomedical Eng, NJIT) This workshop brought together a group of researchers from the areas of mathematical modeling and clinicians and experimentalists in neuroscience to address some of the fundamental issues related to neurovascular coupling and cortical spreading depression (CSD) and related neurological phenomenon. 1. Bernice Grafstein: Spreading depression as a holistic process: A historical perspective 2. Cenk Ayata: Spreading depression and the biological heterogeneity of cerebral blood flow response: clues for modeling 3. Huaxiong Huang: Modeling cortical spreading depression and related phenomena 4. Steven Schiff: Unification in the Observation and Control of Spikes, Seizures, and Spreading Depression 5. Jessica Seidel: Cerebral Venous Potassium Efflux During Spreading Depression 6. David Terman: Blocking spreading depolarizations in a neuron/astrocyte network model 7. Jed Hartings: Spreading depolarizations in acute brain injury: mathematical dynamic instability of cerebral cortex? 8. Béla Joós: The Nav coupled left shift model of axon damage: how minor damage can cause major grief 9. Ghanim Ullah: Towards a model-based control of neuronal systems 10. Jorge Manuel Mendez: In vivo cellular dynamics in cortical spreading depression 11. Ernest Barreto: Ion Concentration Dynamics and its Effects on Neuronal Excitability and Bursting 12. Bas-Jan Zandt: Dynamics of single neurons and populations during spreading depolarization 13. Niklas Hübel: Dynamics from seconds to hours in HodgkinHuxley model with time- dependent ion concentrations and buffer reservoirs 14. Markus A. Dahlem: Ghost behavior: Transient localized patterns of CSD in the gyrified human cortex 15. K.C. Brennan: Minimum conditions for the induction of CSD 16. Edward Dudek: Perinatal hypoxic-ischemic encephalopathy: electrographic seizures vs background supression 17. David Andrew: Spreading depolarization strength during ischemia determines higher brain susceptibility and lower brain resistance to acute injury 18. Yoichiro Mori: Modeling ionic electrodiffusion and osmosis in spreading depression If you are interested in updates and upcoming events on this topic, please sent an email to dahlem(a)physik.hu-berlin.de -- Dr. Markus A. Dahlem Humboldt-Universität zu Berlin AG NLD Cardiovascular Physics Robert-Koch-Platz 4 10115 Berlin Germany phone: +49 (0)30 2093 99185 email: dahlem(a)physik.hu-berlin.de skype: markus.dahlem web: https://sites.google.com/site/markusadahlem

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OCNS Workshop on Modeling of Neuron-Glia Interactions, Quebec City, July 30-31.
by Maurizio De Pittà July 22, 2014

July 22, 2014

Dear Sirs, I would kindly ask you to please forward the following message to the comp-neuro mailing list, and further encouraging you to share it with your colleagues. Thanks in advance for your consideration of the matter. Sincerely, Maurizio De Pitta' -------------------------------------------------------------- Dear colleague, we would like to bring at your attention the forthcoming OCNS workshop on "Computational Methods and Modeling of Astrocyte Physiology and Neuron-Glia Interactions". The workshop will take place in Quebec City (Canada) on July 30th-31st, following the main OCNS meeting. The workshop brings together a representative pool of theoreticians involved in modeling of several aspects of astrocyte physiology and neuron-glia interactions, aiming at providing a rare and original occasion to familiarize with the current state of research on the challenging topic of the functional role of neuron-glia interactions. Topics covered by this workshop include: 1. -- Calcium signaling in astrocytes (from subcellular/compartmentalized to network levels); 2. -- Neuron-glia interactions, regulation of synaptic transmission, plasticity and neuronal responses by astrocytes; 3. -- Astrocyte role in homeostasis and neurotrasmitter clearance; 4. -- Information processing by astrocytes. For the detailed program and the list of speakers, you are kindly invited to visit the workshop homepage: https://team.inria.fr/beagle/ocns-2014-workshop/ We encourage you to share this mail with your colleagues and whoever could be interested to attend our workshop. Thanks for your attention. Kind regards, Maurizio De Pitta' Hugues Berry -------------------------------------------------------------------------------- Maurizio De Pitta' - https://sites.google.com/site/mauriziodepitta Hugues Berry - http://www.inrialpes.fr/Berry -------------------------------------------------------------------------------- Project-Team BEAGLE INRIA Rhone-Alpes Université de Lyon LIRIS UMR5205 Antenne INRIA de La Doua Batiment CEI-1 66 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France

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