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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Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes July 18, 2014

July 18, 2014

Dear all, The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Frequency Preference Response to Oscillatory Inputs in Two-dimensional Neural Models: A Geometric Approach to Subthreshold Amplitude and Phase Resonance Rotstein HG http://www.mathematical-neuroscience.com/content/4/1/11 Network Symmetry and Binocular Rivalry Experiments Diekman CO and Golubitsky M http://www.mathematical-neuroscience.com/content/4/1/12 Effects of Synaptic Plasticity on Phase and Period Locking in a Network of Two Oscillatory Neurons Akcay Z, Bose A and Nadim F http://www.mathematical-neuroscience.com/content/4/1/8 Approximate, not Perfect Synchrony Maximizes the Downstream Effectiveness of Excitatory Neuronal Ensembles Börgers C, Li J and Kopell N http://www.mathematical-neuroscience.com/content/4/1/10 Identification of Criticality in Neuronal Avalanches: II. A Theoretical and Empirical Investigation of the Driven Case Hartley C, Taylor TJ, Kiss IZ, Farmer SF and Berthouze L http://www.mathematical-neuroscience.com/content/4/1/9 All articles are Open Access. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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Post-doc openings for theoretical neuroscience at UCSF and UCB
by Friedrich Sommer July 18, 2014

July 18, 2014

Post-doctoral fellow in computational/theoretical neuroscience The Chang Lab at UCSF and the Sommer Lab at UCB are jointly seeking two (2) post-doctoral fellows in computational/theoretical neuroscience. Our groups are developing and applying novel computational methods to understand population neural data. The positions have the specific focus on understanding the dynamics of neural population data collected directly from the cortical surface of humans during the perception and production of speech at multiple temporal resolutions. These positions are fully funded as part a collaborative effort between University of California San Francisco, University of California Berkeley, and Lawrence-Berkeley National Laboratory. This Bay Area collaboration combines UCSF's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, and LBNL's supercomputing and applied mathematics together with electronics and microfabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration. Applicants should have a Ph.D. (or equivalent degree) in a quantitative field such as computer science, electrical engineering, physics, or applied mathematics/statistics with a strong publication record. Expertise in theoretical/computational neuroscience or the analysis/modeling of complex dynamical systems is recommended; experience in analyzing the dynamics of population neural recordings is preferred. Applicants must be able to work in a collaborative, multi-disciplinary environment and exhibit good communication skills. Experience with scientific programing languages (e.g. C/C++, python, Matlab) is required. Expertise in speech/language and/or high-performance computing is not required, but is beneficial. To apply, please submit a CV and three letters of reference to: changed(a)neurosurgery.ucsf.edu fsommer(a)berkeley.edu ----------------------------------------------------------------------------------------------------------------- Friedrich T. Sommer, Ph.D, Adjunct Professor Redwood Center for Theoretical Neuroscience & Helen Wills Neuroscience Institute UC Berkeley 575A Evans Hall, MC #3198 Berkeley, CA 94720-3198 http://redwood.berkeley.edu/wiki/Fritz_Sommer -----------------------------------------------------------------------------------------------------------------

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Neurocomputing special issue CFP
by Zhijun Yang July 17, 2014

July 17, 2014

Dear Colleagues, May we draw your attention to a Neurocomputing special issue CFP: Advances on Biological Rhythmic Pattern Generation: Experiments, Algorithms and Application. The full announcement can be found as an internet link below. http://www.journals.elsevier.com/neurocomputing/call-for-papers/special-iss… Instructions for submission: • The submission website for Neurocomputing is located at: http://ees.elsevier.com/neucom/default.asp • To ensure that all relevant manuscripts are correctly identified for inclusion into this special issue, it is important that authors select SI: Creating Biology Rhythm when reaching the “Article Type” step in the submission process. We look forward to receiving your contributions to what promises to be an exciting special issue. Best regards, Zhijun Yang -- Zhijun Yang, BEng, MSc, PhD, Lecturer in Design Engineering Department of Design Engineering and Mathematics School of Science and Technology Middlesex University, London NW4 4BT, UK Voice: +44 (0)7882681333 --------------------------------------------------------------------------- Please note that Middlesex University's preferred way of receiving all correspondence is via email in line with our Environmental Policy. All incoming post to Middlesex University is opened and scanned by our digital document handler, CDS, and then emailed to the recipient. If you do not want your correspondence to Middlesex University processed in this way please email the recipient directly. Parcels, couriered items and recorded delivery items will not be opened or scanned by CDS. There are items which are "exceptions" which will be opened by CDS but will not be scanned a full list of these can be obtained by contacting the University.

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Postdoc position in neural inspired computation
by Aimone, James Bradley July 17, 2014

July 17, 2014

A postdoctoral research position is available for research on neural algorithm development for a neural-inspired computing hardware project within the cognitive modeling group at Sandia National Laboratories. The successful applicant will join a broad interdisciplinary team that includes computational neuroscientists, computer scientists, and electrical engineers focused on developing methods for hardware acceleration of neural algorithms. He or she will be expected to leverage research from the broader neuroscience research community to develop computational approaches for addressing real-world problems. Previous experience both in neuroscience research and in data analytics / machine learning domains is ideal. For more information, please contact Dr. Brad Aimone (technical contact, jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov> ) or Dr. John Wagner (department manager, jswagne(a)sandia.gov<mailto:jswagne@sandia.gov>). For the full posting, necessary qualifications and application information, go to careers.sandia.gov and search for posting ID 646640 -------------------------- James Bradley Aimone, Ph.D. Senior Member of Technical Staff Cognitive Modeling Department Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728

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Research Specialist position at Princeton University
by Francisco Pereira July 16, 2014

July 16, 2014

A Research Specialist position is available in Matthew Botvinick's lab in the Princeton Neuroscience Institute, in collaboration with Francisco Pereira at Siemens Corporate Technology. This is a position within a team participating in the IARPA Knowledge Representation in Neural Systems program. The goal of the program is to develop models of how the brain represents conceptual knowledge, and how that knowledge is used when carrying out tasks like reading a sentence. These models will be tested using brain imaging data. The main role in this position is as a programmer writing the code needed to build such models, while also being involved in experiment design and data analysis. Examples of tasks you might be asked to do: - prepare text corpora for use in developing models - implement evaluation tasks that the models developed will be benchmarked with - collect material from online resources and behavioral experiments - prepare stimuli for brain imaging experiments or model building - help in designing and carrying out brain imaging and behavioral experiments - analyze behavioral and brain imaging experimental data It is an unusual position in that you will be gaining experience in both machine learning and cognitive neuroscience. In addition to the core research goals, we will also be delivering a concrete system to the funding agency, and hence this will be a fast-paced project. You will be working directly with the PIs and also graduate students and research scientists in the team. Essential qualifications are experience developing software in MATLAB or Python (Perl is also useful), as well as an undergraduate degree in computer science, biomedical engineering, cognitive neuroscience or a related field. Preferred qualifications are knowledge in natural language processing, machine learning, and collection, preprocessing and analysis of brain imaging data (e.g. SPM, FSL or AFNI). The final candidate will be required to pass a background check successfully. This is a 1 year position, starting as soon as possible, with an additional year possible contingent on funding availability and performance. To apply, please go to https://jobs.princeton.edu/applicants/jsp/shared/Welcome_css.jsp and use “Search Open Positions” with requisition number 1400452. Please email francisco.pereira(a)gmail.com with any pre-application inquiries.

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1st Call for Abstracts for the 7th Int'l Workshop on Guided Self-Organisation (Freiburg, Dec 16-18, 2014)
by Joschka Boedecker July 16, 2014

July 16, 2014

<apologies for possible cross-posting> Dear colleagues, This is an announcement and Call for Abstracts for the Seventh International Workshop on Guided Self-Organisation (GSO-2014) to be held from December 16-18, 2014 in Freiburg, Germany. http://ml.informatik.uni-freiburg.de/events/gso14/index The workshop will bring together researchers from a richly diverse background who share interest in understanding and designing self-organising systems. Of particular interest are well-founded, but general methods for characterizing such systems in a principled way with the view of ultimately allowing them to be guided toward prespecified goals. Information theory, nonlinear dynamics and graph theory are core to many of these methods, and quantifying complexity and its sources is a common theme. This year, the workshop is organised in collaboration with the BrainLinks-BrainTools cluster of excellence at University of Freiburg ( https://www.brainlinks-braintools.uni-freiburg.de/ ), and one focus theme will be guided self-organisation in neural systems. Submissions to the workshop are extended abstracts (one-two pages). If interested in participating, send an extended abstract (by September 7th, 2014) by email to: jboedeck at informatik dot uni-freiburg dot de The notifications are expected by September 21st, 2014. Authors of accepted submissions will present the content to the workshop (scheduled 30 minutes presentation). It is expected that post-workshop publication of selected papers will follow in a special journal issue (as has been the case for previous GSO workshops). Please consult the website above and also http://guided-self.org/ for more information. Best wishes, Joschka Boedecker Mikhail Prokopenko Martin Riedmiller

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Two Postdoctoral Positions in Computational Modeling of Primate Motor Control
by Yaroslav Molkov July 15, 2014

July 15, 2014

Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.edu) or Dr. Molkov (ymolkov(a)iupui.edu) 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. Drs. Rybak and Molkov will be available to answer questions and discuss this job opportunity with potential candidates at the CNS’2014 meeting in Quebec City, Canada (July 26-31). ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129, USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

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Linking Brain Models and Data: An Invitation from James Bonaiuto and Michael A. Arbib
by James Bonaiuto July 15, 2014

July 15, 2014

The USC Brain Project has just released a new version of their neuroinformatics tool, the Brain Operation DataBase (BODB) v4.0. BODB is a tool for modelers and experimentalists to document computational models of the brain and their linkages to summaries of experimental data. Models can be compared in terms of these relations, and experimental data summaries can be visualized in a variety of ways. Groups of users can build collaboratory workspaces which allow them to share groups of models and data and work together to develop new models. This latest version of BODB includes many new features: - Improved search functionality: users can now search federated databases such as CoCoMac (macaque neural connectivity) and Brede (human brain imaging) directly as well as use boolean combinations of search terms - Users can now maintain a list of their favorite entries outside any workspace - Model and BOP diagrams: users can generate clickable and zoomable graphs showing the relationships between brain operating principles (BOPs) and between models and summaries of empirical data (SEDs) - ERP SED visualization: users can view the locations of ERP components on a standard electrode placement system - Improved workspaces: workspaces now include an activity stream, discussion board, and bookmarks. Workspaces administrators can send invitations to other users to join the workspace. - ModelDB import: users can search ModelDB for models and import them to BODB for documentation of their linkage to SEDs - New Documentation System: the new system is far more extensive, is linked from pages on BODB, and users can now search the documentation - Web API: it is now possible to return BODB entries in JSON aand XML format through a simple URL protocol An overview of our general methodology for the neuroinformatics of brain modeling can be found at http://www.ncbi.nlm.nih.gov/pubmed/24234915. It is just one paper from a special issue of Neuroinformatics (Volume 12, Number 1, January 2014) on “Action, Language and Neuroinformatics” (Michael Arbib, Guest Editor). The Manual for BODB can be found at http://bodb.usc.edu/media/BODB_Manual.pdf. We invite you to register for a free account on BODB and add your own models and experimental data: http://bodb.usc.edu ------------------------------------------------------ James Bonaiuto, PhD Research Associate Sobell Department of Motor Neuroscience and Movement Disorders UCL Institute of Neurology 33 Queen Square, London WC1N3BG, United Kingdom

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2014 SFN Meeting Workshop: NSG Portal for parallel simulations
by Ted Carnevale July 14, 2014

July 14, 2014

What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2014 Society for Neuroscience Meeting Where: Lodation to be announced in downtown Washington, DC When: 9 AM - Noon on Saturday, November 15, 2014 Speakers to include: A. Majumdar, S. Sivagnanam, and T. Carnevale Registration deadline: Friday, October 31, 2014 This workshop is intended for neuroscientists who are already using, or would like to use, the Neuroscience Gateway Portal (NSG http://www.nsgportal.org/) for parallel simulations. The NSG portal eliminates most administrative and technical barriers that face neuroscientists who need to use high performance computing resources for large modeling projects. Its web-based interface simplifies the tasks of uploading models, specifying job parameters, monitoring job status, and storing and retrieving output data. Simulators currently installed include Brian, MOOSE, GENESIS3, NEST, NEURON, and PyNN. The workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. For more information and the online registration form see http://www.neuron.yale.edu/neuron/static/courses/nsg2014/nsg2014.html --Ted

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NEURON course at 2014 SFN Meeting
by Ted Carnevale July 14, 2014

July 14, 2014

Using NEURON to Model Cells and Networks Satellite Symposium, Society for Neuroscience Meeting 9 AM - 5 PM on Friday, November 14, 2014 Speakers include Ted Carnevale, Bill Lytton, and Gordon Shepherd This course emphasizes practical issues that are key to the most productive use of NEURON, an advanced simulation environment for realistic modeling of biological neurons and neural circuits. Through lectures and live computer demonstrations, we will address topics that include the following: Partial list of topics that will be covered: * Efficient design and implementation of models of neurons and networks. * Constructing and managing models with NEURON's GUI, hoc, and Python. * Using the built-in variable-order variable-timestep integrator for improved speed and accuracy. * Parallelizing models of cells and networks to take advantage of multicore PCs and Macs, workstation clusters, and parallel supercomputers. * Expanding NEURON's repertoire of biophysical mechanisms, including an introduction to using the new RxD feature to implement models that involve reactive diffusion. * Databases for empirically-based modeling. Each registrant will receive a comprehensive set of notes. Registration is limited to 25 individuals on a first-come, first-serve basis. The registration deadline is Friday, October 31, 2014. NO on-site registration will be accepted. For more information and the online registration form, see http://www.neuron.yale.edu/neuron/static/courses/dc2014/dc2014.html --Ted

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PhD open positions on event-driven robotics
by Chiara Bartolozzi July 14, 2014

July 14, 2014

There are few PhD positions with scholarship for developing event-driven sensors and computation for the humanoid robot iCub at the Italian Institute of Technology. The call, application form and tips on the documentation to send are at the following link: http://www.iit.it/en/openings/phd-calls/2030-phd-course-topic-information.h… 1. Event-driven vision sensors for humanoid robots Tutors: Chiara Bartolozzi Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Carrying out real-world tasks robustly and efficiently is one of the major challenges of robotics. Biology clearly outperforms artificial computing and robotic systems in terms of appropriateness of the behavioural response, robustness to interference and noise, adaptation to ever changing environmental conditions, or energy efficiency. All these properties arise from the characteristics of the radically different style of sensing and computation used by the biological brain. In conventional robots, sensory information is available in a sequence of static frames and high dynamics can be sensed only by increasing the sampling rate. Unfortunately the available bandwidth limits the amount of information that can be transmitted forcing a compromise between resolution and speed. The goal of the proposed theme is the development of bio-inspired event-driven artificial vision sensors that will be mounted and validated on the humanoid robot iCub. The goal is to convey to the robot the most informative signal that it can use to robustly interact with the world. The research will focus on the design of mixed-mode analog/digital circuits for photo-transduction and focal-plane processing. Different architectures and circuits will be considered for the pixel design, evaluating the trade-off between complexity (and fill-in factor) and sensor pre-processing capabilities. Additionally, ad hoc digital asynchronous logic circuits and interfaces based on the "Address Event Representation" protocol will be developed for optimally interfacing the sensor with the robot. Requirements: degree in Electronic Engineering, Physics (or equivalent) and background in Analog and/or Digital Circuit Design, possibly on FPGA programming (VHDL, Verilog). High motivation to work on a robotic platform. Reference: C. Posch, D. Matolin, and R. Wohlgenannt, "A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS," IEEE J Solid-State Circuits, vol. 46, no. 1, pp. 259-275, Jan. 2011 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> 2. Building the neuromorphic iCub Tutors: Chiara Bartolozzi Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Carrying out real-world tasks robustly and efficiently is one of the major challenges of robotics. Biology clearly outperforms artificial computing and robotic systems in terms of appropriateness of the behavioural response, robustness to interference and noise, adaptation to ever changing environmental conditions, or energy efficiency. All these properties arise from the characteristics of the radically different style of sensing and computation used by the biological brain. In conventional robots, sensory information is available in a sequence of static snapshots and high dynamics can be sensed only by increasing the sampling rate. Unfortunately the available bandwidth limits the amount of information that can be transmitted forcing a compromise between resolution and speed. The goal of the proposed theme is the integration of event-driven sensors and computing platforms on the humanoid robot iCub. The goal is to convey to the robot the most informative signal that it can use to robustly interact with the world and provide adequate computing platforms such as the SpiNNaker system. The research will focus on the development of the infrastructure for optimally interfacing event-driven hardware modules based on the Address Event Representation protocol on the iCub. Requirements: degree in Electronic Engineering, Physics (or equivalent) and background on FPGA programming (VHDL, Verilog). High motivation to work on a robotic platform. Reference: C. Bartolozzi, F. Rea, C. Clercq, M. Hofstätter, D. B. Fasnacht, G. Indiveri, and G. Metta, "Embedded neuromorphic vision for humanoid robots," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2011, pp. 129-135 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> 3. Event-driven vision for the iCub Tutors: Chiara Bartolozzi, Lorenzo Natale Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Interacting with a dynamical environment is one of the major challenges of robotics. Biology clearly outperforms robotic systems when acting in real scenarios in terms of appropriateness of the behavioural response, robustness to interference and noise, adaptation to ever changing environmental conditions, and energy efficiency. All these properties arise from the characteristics of the radically different style of sensing and computation used by the biological brain. In conventional robots, sensory information is available in a sequence of static snapshots and high dynamics can be sensed only by increasing the sampling rate. However the available bandwidth limits the amount of information that can be transmitted forcing a compromise between resolution and speed. Event-driven vision sensors transmit information as soon as a change occurs in their visual field, achieving incredibly high temporal resolution, coupled with extremely low data rate and automatic segmentation of significant events. The proposed theme aims at the exploitation of highly dynamical information from event-driven sensors for robust interaction of the humanoid robot iCub with moving objects. The goal is to develop new techniques for the recognition and prediction of trajectories of moving targets including humans and objects and plan for precise reaching movements, by exploiting the high temporal resolution and compressive signal encoding of event-driven vision sensors mounted on the iCub. The research will focus on the development of the infrastructure for handling event-driven sensory data and of event-driven vision algorithms for motion estimation as well as algorithms for trajectory prediction. Real time behaviour will be achieved by using compressive event driven computation and on-board processing on FPGA. Requirements: degree in Computer Science or Engineering (or equivalent) and background in Computer Vision and/or Machine Learning. High motivation to work on a robotic platform and good computer and FPGA programming skills Reference: Benosman, R.; Clercq, C.; Lagorce, X.; Sio-Hoi Ieng; Bartolozzi, C., "Event-Based Visual Flow," Neural Networks and Learning Systems, IEEE Transactions on , vol.25, no.2, pp.407,417, Feb. 2014, doi: 10.1109/TNNLS.2013.2273537 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> , lorenzo.natale(a)iit.it<mailto:lorenzo.natale@iit.it> 4. New techniques for vision-assisted speech processing for the iCub Tutors: Chiara Bartolozzi, Leonardo Badino Department: iCub Facility (Istituto Italiano di Tecnologia) http://www.iit.it/en/research/departments/icub-facility.html Description: Robust speech detection in realistic environments for human robot interaction is still a challenging task. Vision is currently used for improving speech recognition in noisy acoustic environments, however, the temporal content of the visual information is severely limited by the temporal discretization of the frame-based acquisition. Event-driven vision sensors transmit information as soon as a change occurs in their visual field, achieving incredibly high temporal resolution, coupled with extremely low data rate and automatic segmentation of significant events. The goal of the proposed theme is the exploitation of highly dynamical information from event-driven vision sensors for robust speech processing for the humanoid robot iCub. The goal is to extract visual features and cues from the stream of visual events that are related to speech production landmarks and exploit them for further improving speech recognition. The research will focus on the development of the infrastructure for handling event-driven sensory data and of novel algorithms for extraction of visual features from event-driven cameras. Requirements: degree in Computer Science or Engineering (or equivalent) and background in Auditory Processing and/or Machine Learning. High motivation to work on a robotic platform and good computer and FPGA programming skills. Reference: G. Potamianos, C. Neti, G. Gravier, A. Garg, and A.W.Senior in Proceedings of the IEEE Vol. 91 No. 9 September 2003 pp. 1306-1326 Benosman, R.; Clercq, C.; Lagorce, X.; Sio-Hoi Ieng; Bartolozzi, C., "Event-Based Visual Flow," Neural Networks and Learning Systems, IEEE Transactions on , vol.25, no.2, pp.407,417, Feb. 2014, doi: 10.1109/TNNLS.2013.2273537 Contacts: chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it> , leonardo.badino(a)iit.it<mailto:leonardo.badino@iit.it> Chiara Bartolozzi Researcher Istituto Italiano di Tecnologia Via Morego, 30 16163 Genoa, Italy Ph: +39 010 7178-1474

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Job offer in Juelich, Germany - IT-Solutions Architect (f/m)
by Martina Reske July 11, 2014

July 11, 2014

The Institute of Neuroscience and Medicine (INM) investigates the structure and function of the brain. The department INM-6 is conducting research in the field of Computational and Systems Neuroscience with currently four work groups and one Helmholtz Young Investigator Group (www.csn.fz-juelich.de<http://www.csn.fz-juelich.de>). The Ju?lich Supercomputing Centre (JSC) as part of the Institute for Advanced Simulation (IAS) offers high performance computing resources for scientific and technical applications which are among the most powerful in Europe and worldwide. The Simulation Lab Neuroscience at JSC is dedicated to enabling and supporting the Computational Neuroscience community in leveraging these resources for their research. These institutes are jointly looking for an IT-Solutions Architect (f/m) Your Job: * Design and development of web solutions * Implementation of web sites on the basis of open source solutions (e.g., WordPress/MediaWiki) * Integration of own and third-party components into the web sites * Writing of scripts/programs (e.g. in Python) in a neuroscience environment * Interaction with scientists to find the optimal solution for different situations * Proactive updates and creation of content for web sites in the field of neuroscientific simulation software * Creation of documentation of simulation of software in collaboration with scientists * The successful candidate will work half-time for INM-6 and the Simulation Lab Neuroscience at JSC, respectively. Your Profile: * Completed training in mathematical-technical software development or Bachelor in the area of Computer Science or comparable qualification * Very good knowledge of the relevant web technologies: PHP, MySQL, (X)HTML, JavaScript, CSS * Experience with the administration of web servers under Linux (LAMP) Experience with a common content management system (e.g., WordPress, MediaWiki, Typo3) * Good knowledge of shell and scripting languages like bash and Python * Fluently spoken and written English * Background in neuroscience or another natural science would be a plus * Interest in working with an interdisciplinary team of researchers with highest scientific standards Our Offer: * A diverse range of activities in a creative, interdisciplinary, international team * Forschungszentrum Jülich offers an excellent scientific research infrastructure on a green campus close to Cologne, Düsseldorf and Aachen * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online via our online recruitment system (see here: http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2014-115-EN…) quoting the reference number 2014-115. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Job announcement
by Quel July 10, 2014

July 10, 2014

[sorry for cross-posting] On the behalf of Hospital Israelita Albert Einstein, *Open position for Professor of Neurosciences in Sao Paulo, Brazil.* A full time endowed position for “Professor of Neurosciences” is available at the Brain Institute at the Albert Einstein Institute for Research and Education (InCe – IIEPAE), São Paulo, Brazil. We seek an outstanding senior researcher as a professor of the Institute. Job description The main goals include the development of research in neuroscience involving ageing processes in the brain and methods to promote healthy ageing. Additional focus includes study of neurodegenerative diseases. The position requires a record of scientific excellence and management experience, as well as vision and motivation to lead and shape a team of researchers. The candidate is expected to lead a strong, internationally competitive research programme, attract external funding and promote an interactive and synergistic research environment in order to develop clinical neuroscience into a center of excellence in biological aspects of ageing. Good communication skills are required to interact with a multidisciplinary team of experienced neurologists, neurosurgeons, scientists, engineers, physicists and psychologists. *Required skills/Qualifications* • Senior researcher with PhD • Experience working as a leading researcher • A strong track record of publications, ideally h-index > 20 Desired skills/Qualifications • MD title • Portuguese speaking *Salary* Salary is provided by a donation (equivalent to a top salary for a physician in Brazil USD120,000.00 – 180,000.00 per year). The position is renewable. The appointment is for 24 months at first. *About Hospital Israelita Albert Einstein* Hospital Israelita Albert Einstein ranks number one in Latin America, was the first hospital outside of USA accredited by the Joint Commission International and possesses a number of ISO certifications. The Brain Institute-IIEPAE has a state-of-the art whole body 3T MR system equipped with 32 channel head coil with protected time for research, integrated with a 64 channel EEG-fMRI system. The facilities also include an fMRI eye-tracking system, TMS and in house stimulus delivery systems for advanced applications. Radiopharmacy laboratories for basic research and clinical application, an experimental core facility with a cell culture laboratory and genome sequencing and an AAALAC certified experimental facility are also available. The institution also holds a postgraduate programme in health sciences, recognized by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), giving the opportunity to supervise postdoc, PhD and master students. *Apply for position:* The position is open until 31st of July. The top 20 CV will be selected and evaluated by a committee. Please e-mail CV, NIH Biosketch, statement of research interests and contact information of references to: ince(a)einstein.br with “Professor of Neurosciences” in the subject line Brain Institute - Albert Einstein Jewish Institute for Education and Research Hospital Israelita Albert Einstein – www.einstein.br Phone: +55 11 2151-3727 Best regards, Anna *Anna Ringheim Cadete* Coordinator - Brain Institute - IIEP SBIB Hospital Albert Einstein

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Job opening: 7 PhD positions in Dutch research consortium "Language in Interaction"
by Lorenz, C.M. July 10, 2014

July 10, 2014

Seven PhD Positions in the Dutch Research Consortium 'Language in Interaction' Closing date: 30 September 2014 For more information: http://www.languageininteraction.nl/jobs/id-2nd-phd-call-general.html We are looking for highly motivated PhD candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. The Netherlands has an outstanding track record in the language sciences. This research consortium sponsored by a large grant from the Netherlands Organization for Scientific research (NWO) brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The research team consists of 43 Principal Investigators. In addition to the excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. Currently, the consortium advertises seven PhD positions for a period of 4 years. Depending on the PhD position applied for, candidates will be appointed at one of the home institutions of the consortium. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Click for more information on the PhD positions and how to apply: http://www.languageininteraction.nl/jobs/id-2nd-phd-call-general.html

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Multiscale analysis of neural spike trains
by Reza Ramezan July 10, 2014

July 10, 2014

Dear Colleagues, I would like to highlight the following paper from our group published in Statistics in Medicine (not a mainstream neuroscience journal). Interested people can receive a free (electronic) copy upon request. Kindest Regards, Reza Ramezan ------------------------------------------------------------------------------------ *Multiscale analysis of neural spike trains* <http://onlinelibrary.wiley.com/doi/10.1002/sim.5923/abstract> Ramezan R, Marriott P, Chenouri S (2014) *Summary:* This paper studies the multiscale analysis of neural spike trains, through both graphical and Poisson process approaches. We introduce the interspike interval plot, which simultaneously visualizes characteristics of neural spiking activity at different time scales. Using an inhomogeneous Poisson process framework, we discuss multiscale estimates of the intensity functions of spike trains. We also introduce the windowing effect for two multiscale methods. Using quasi-likelihood, we develop bootstrap confidence intervals for the multiscale intensity function. We provide a cross-validation scheme, to choose the tuning parameters, and study its unbiasedness. Studying the relationship between the spike rate and the stimulus signal, we observe that adjusting for the first spike latency is important in cross-validation. We show, through examples, that the correlation between spike trains and spike count variability can be multiscale phenomena. Furthermore, we address the modeling of the periodicity of the spike trains caused by a stimulus signal or by brain rhythms. Within the multiscale framework, we introduce intensity functions for spike trains with multiplicative and additive periodic components. Analyzing a dataset from the retinogeniculate synapse, we compare the fit of these models with the Bayesian adaptive regression splines method and discuss the limitations of the methodology. Computational efficiency, which is usually a challenge in the analysis of spike trains, is one of the highlights of these new models. In an example, we show that the reconstruction quality of a complex intensity function demonstrates the ability of the multiscale methodology to crack the neural code. *Keywords: *inhomogeneous Poisson process; multiscale analysis; periodogram; almost periodic intensity function; retinogeniculate synapse; spike train -- Reza Ramezan Department of Statistics and Actuarial Science University of Waterloo Waterloo, Ontario N2L 3G1 Canada Office: M3 3018 Phone: (519) 888-4567, ext. 39358 E-mail: rramezan(a)uwaterloo.ca Web: http://www.neuroinformatics.ca

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2 PhD positions in Computational Neuroscience in Juelich, Germany
by Martina Reske July 9, 2014

July 9, 2014

Dear community, we are seeking two PhD candidates to support our team! Project 1: In the framework of the Klinische Forschergruppe (KFO) 219 "Basal ganglia-cortex loops: Mechanisms of pathologic interactions and their therapeutic modulation" we have an open PhD student position in work package 9: "Mathematical modeling of development and suppression of pathological activation in basal ganglia – cortex loops“. This project focuses on the generation of pathological beta band oscillations in basal ganglia and their susceptibility to suppression by means of pharmacological challenges or deep brain stimulation. Specifically, this projects aims to model dynamics in basal ganglia – thalamus – cortex loops drawing on computational neuroscience approaches and data deriving from other work packages within the research consortium. We are seeking for a candidate with a master’s degree in physics, mathematics or computer science. The candidate will develop microscopic network models and will be supervised by the projects leaders, particularly by a postdoctoral fellow supervising the entire work package as well as Prof. Morrison. Programming expertise is appreciated. The candidate will be primarily based at the Jülich Research Center to foster interactions with theoretical neuroscientists. In addition, the candidate is expected to work jointly with project partners at the University Clinic of Cologne. We offer a position in a creative and international team, themes ranging from computational neuroscience to simulation technology. The Jülich Research Center is one of the largest research centers in Germany, with excellent scientific equipment, located on a green campus, and near the cultural centers Köln, Düsseldorf, and Aachen. The PhD position is available for 3 years, starting as soon as possible. Applications, including a motivation letter, CV, publication list, copies of university certificates, and one reference letter should be sent as a single PDF email attachment (max. 10MB) mentioning the internal reference code KFO219-TP9 to should be sent to: Dr. Martina Reske (m.reske(a)fz-juelich.de) – Scientific Coordinator The call is open until the position has been filled. Project 2: Project title: Neural circuit mechanisms of reinforcement learning Project description: Reinforcement learning is considered to play a major role in decision-making, and impairments in RL have been associated with various neuropsychiatric disorders including addiction and depression. Since it was found that the activity of midbrain dopamine (DA) neurons appears to represent the reward prediction error, various brain regions in the cerebral cortex and the basal ganglia have been shown to represent several variables appeared in mathematical formulations of RL algorithms. However, underlying mechanisms at the cellular and circuit levels within and between each of those regions remain largely unknown. In this project, we address this issue by developing and study neuronal network models of learning from reward and punishment in the brain's basal ganglia network. The project will be carried out by the group Functional Neural Circuits at the Institute for Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) led by Prof. Abigail Morrison, together with our Japanese collegues (Kenji Morita, University of Tokyo). The project is supported by German Ministry of Science (BMBF) in the framework of the German-Japan cooperation in Computational Neuroscience. The project incorporates tools and methods from different fields, ranging from neuroscience to physics and mathematical modeling to build large scale simulations of neural networks. Supervision is provided by Prof. Abigail Morrison and Dr. Jenia Jitsev, both having considerable experience in neural network modeling, with focus on plasticity and learning. We seek a highly motivated candidate with curiosity and persistence. A preferable candidate will have background and strong Master degree in either in neuroscience, physics, mathematics, biology, computer science or a related field of natural science. The candidate should have experience in basic software engineering techniques (minimal requirement is ability to write clear well-structured code in either C++ or Python). Furthermore, a solid basis in mathematical modelling (handling differential equations, basics of stability analysis) is essential. The most important requirement is the ability to learn new things and to find ways to solve novel problems. The PhD position is available for 3 years, starting as soon as possible. During the PhD, you will also have opportunity to visit conferences, workshops, summer schools and labs of our partners in Tokyo and benefit from their experience, too. You will be a part of a creative and young team, rich with inspiration for the different state-of-the art topics in experimental and theoretical neuroscience, and have the opportunity to take part at the forefront of current neuroscientific research. Research Center Jülich, Germany, is located on a green campus and hosts excellent facilities, including the Jülich Supercomputing Center, and is part of newly starting EU Human Brain Project, the largest neuroscientific initiative to study the brain funded in Europe. Jülich is close to large urban centers like Cologne, Aachen and Düsseldorf and offers thus a rich cultural environment to spend time in. Applications, including a motivation letter, a CV, copies of university certificates, and one letter of reference should be sent as a single PDF email attachment (max. 10MB) mentioning the internal reference code BRDJ-PhD to: Dr. Martina Reske (m.reske(a)fz-juelich.de) – Scientific Coordinator The call is open until the position has been filled. -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Call for Nominations: TANG Prize for Achievements in Psychology
by Christopher Honey July 8, 2014

July 8, 2014

APPLICATIONS INVITED FOR INAUGURAL TANG PRIZE FOR ACHIEVEMENTS IN PSYCHOLOGY – CALL FOR NOMINATIONS The Department of Psychology at the University of Toronto is pleased to announce the call for nominations for the 2014 inaugural TANG Prize for Achievements in Psychology. As a Department at a public university, we believe in furthering the science of Psychology in service of enhancing human wellbeing. Applications are encouraged from internationally-recognized scholars in Psychology or a closely-related field who have shown creativity, and rigour in their approach and whose record of achievement has left an indelible mark on the field. This award has been made possible through generous support from the TANG Foundation. The TANG Foundation is a charitable institution with the mandate to raise awareness of the importance of psychological wellbeing in the world. The recipient of the TANG Prize for Achievements in Psychology will be awarded a cash prize of $100,000 CAD at a ceremony held on the University of Toronto campus on November 12, 2014. During the campus visit, the recipient will be asked to meet with University of Toronto students and to hold a public lecture. Applicants should outline in no more than two pages the ways in which they have a major impact on the progress of psychology, anywhere in the world, particularly in its application to the psychological wellbeing of humanity. This application letter should highlight how the applicant has contributed to the science, practice, or application of Psychology as it pertains to the understanding, promotion, restoration, or application of psychological methods, research, and techniques in addressing challenges related to wellbeing at the individual or community level. In addition to this application letter, applications should also include a current CV. Nomination packages (application letter and CV) should be submitted electronically in one email by August 15, 2014 to tangprize(a)psych.utoronto.ca. Applicants should also ask three referees, who must be internationally acknowledged experts in the field, to send reference letters directly to the Department via email to tangprize(a)psych.utoronto.ca by August 30, 2014. Up to three additional supporting letters of endorsement from individuals who have been directly impacted by the applicant’s scholarly work and/or who have knowledge of the direct impact of the applicant’s scholarly work can be sent to the same email address by August 30, 2014. For more information on this award, about the Department of Psychology at the University of Toronto, and the TANG Foundation, please visit www.psych.utoronto.ca/tangprize.

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Mini-Conference “The Many Faces of Computation” @ UCSD July 14 & 15
by Santamaria, Cookie July 7, 2014

July 7, 2014

The BioCircuits Institute, Physical Chemistry and The Lindenberg Lab Group Present: Mini-Conference: “The Many Faces of Computation” http://www.kawai.phy.uab.edu/workshops/UCSD2014/ Organizers: Christian Van den Broeck and Katja Lindenberg Contacts: Cookie Santamaria cookie(a)ucsd.edu<mailto:cookie@ucsd.edu> or Katja Lindenberg klindenberg(a)ucsd.edu<mailto:klindenberg@ucsd.edu> July 14-15, 2014 University of California, San Diego Urey Room 2102 Urey Hall<http://maps.ucsd.edu/mapping/viewer/default.htm?mkey=1&lc=open&km=open&rc=c…> Monday July 14 9-10 a.m. Welcome and light snacks 10-11 a.m. Christian Van den Broeck “A short introduction to large deviations” 11 a.m.-12 noon Raul Toral “Efficient sampling of phase space” 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Alberto Imparato “Efficiency at maximum power in molecular motors” 3-4 p.m. Ilkay Altintas “Workflow-driven science” 4-5 p.m. Discussion time Tuesday July 15 9-10 a.m. Welcome and light snacks 10-11 a.m. Emre Neftci “From VLSI spiking neurons to practical applications and cognition” 11 a.m.-12 noon Michael Gilson ”Plumbing the depths of entropy and enthalphy in molecular recognition” 12 noon-2 p.m. Lunch break and discussion time 2-3 p.m. Daniel Escaff “Down from systems of infinite to finite numbers of elements: Computational aspects of the analysis of resultant fluctuations” 3-4 p.m. Tristan Webb “Utilizing purely functional parallel strategies for spiking neural network simulations” 4-5 p.m. Discussion time

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CNS 2014 workshop on using the NSG for parallel simulations
by Ted Carnevale July 7, 2014

July 7, 2014

The Neuroscience Gateway Portal (NSG) eliminates most administrative and technical barriers to High Performance Computing (HPC) resources, so that computational neuroscientists can readily use simulators such as Brian, GENESIS 3, NEST, NEURON, and PyNN to carry out parallel simulations. To find out how the NSG can accelerate your own modeling project, come to the workshop "Running parallel simulations on HPC resources via the Neuroscience Gateway Portal" which starts at 9 AM on Wednesday, July 30, at the CNS 2014 meeting. The workshop will include a presentation on the NSG itself, plus * presentations by modelers who are using NSG in their research projects --Timothy Rumbell, Mount Sinai School of Medicine, New York, USA: "Modeling of cortical neurons in aging monkeys", --Marianne Bezaire, University of California Irvine, Irvine, USA: "Using the NSG for a large-scale parallel computer model of the CA1 network," * a presentation by a member of the development team of one of the simulators that is available through the NSG --Marcel Stimberg, École Normale Supérieure and Institut de la Vision, Paris, France: "The Brian 2 spiking neuronal network simulation tool" Relevant webpages: http://www.cnsorg.org/cns-2014-workshops-program http://www.nsgportal.org/workshop.html

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ACCV 2014 Workshop: Intelligent Mobile & Egocentric Vision (IMEV 2014)
by Cheston Tan July 6, 2014

July 6, 2014

Call for Papers ACCV 2014 Workshop: Intelligent Mobile & Egocentric Vision (IMEV 2014) November 1 or 2, 2014, Singapore http://mml.citi.sinica.edu.tw/IMEV2014/home.htm The goal of IMEV 2014 is to identify and promote novel computer vision algorithms, systems and frameworks, which are particularly suitable for intelligent and interactive information processing on mobile and wearable computing platforms. This is the 3rd workshop in the series: this year, we expand the scope to include egocentric vision, an exciting emerging topic in computer vision.IMEV 2014 aims to bring together researchers to present latest developments and technical solutions in the domain of intelligent mobile and egocentric vision, including novel algorithms, applications, and systems. Research topics relevant to, but not limited to, the following areas are welcome: Mobile Vision - Feature extraction on mobile devices - Motion analysis and recovery for mobile cameras - Gesture/object/location recognition with mobile cameras - 3D mobile vision - Augmented reality on mobile devices - Human computer interaction with mobile devices - Computer vision applications on hand-held devices - Indexing and retrieval of images and videos for mobile devices - Multi-sensor integration for mobile vision - Hardware and embedded systems for mobile vision - Mobile vision incorporated with robot vision - Related MPEG standards- CDVS (Compact Descriptors for Visual Search) and CDVA (Compact Descriptors for Video Analysis) - Other topics related to mobile vision. Egocentric Vision - Visual feature learning from FPV videos - Egocentric video summarization, life-logging - Social activity analysis from FPV videos - Activity recognition in first-person vision - Eye-gaze tracking & attention modeling - Object recognition & tracking in FPV videos - Scene understanding in first-person video - Human Computer Interaction issues in first-person vision - Privacy issues in first-person video - Other topics related to egocentric vision. Submission should be in the ACCV 2014 format. Please consult the ACCV submission website for the exact formatting and template. IMEV 2014 workshop paper submission website is via the CMT system: https://cmt.research.microsoft.com/IMEV2014. The proceedings will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Preliminary Important Dates: Paper Submissions Sep 1, 2014 - 23:59 PDT (GMT+8) Author Notification Sep 15, 2014 - 23:59 PDT (GMT+8) Camera Ready Sep 20, 2014 - 23:59 PDT (GMT+8)

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post-doctoral fellowships in neural correlates of hearing at U. Penn
by Yale Cohen July 5, 2014

July 5, 2014

We are seeking highly motivated post-doctoral fellows to participate in a research program that tests the neural bases of sound perception. This research will be conducted at the University of Philadelphia. The goals of these projects are to test the contribution of various regions of the auditory cortex and prefrontal cortex to sound perception in non-human primates. Candidates should have a PhD. Those with an MD will be considered but only if the candidates have a strong scientific background. A strong candidate will have experience in systems and computational neuroscience; recording and analysis of single- and multi-unit activity and local-field potentials from awake, behaving animals (in particular non-human primates); experience in training animals on operant tasks; analysis of behavioral data and electrophysiological data; computational-analysis skills; and programming skills. We are interested in individuals who have a good personality and can interact well with other members of the laboratory. The positions are funded through two new R01s and are available immediately. One of the grants is funded to Yale Cohen. The second is funded to both Yale Cohen and Yonatan Fishman. Salary will be based on experience and the NIH post-doctoral scale. The University of Pennsylvania has an outstanding environment for neuroscience; in particular, systems and computational neuroscience. The environment is further enriched by the PIs’ ongoing collaborations with other members of the Penn Neuroscience community. For more information or to apply, contact Yale Cohen (YaleECohen(a)gmail.com) or Yon Fishman (yonatan.fishman(a)einstein.yu.edu) Interested applicants should send a CV; a brief statement of research interests; and names of 2-3 referees.

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Reminder CfP BCBT2014 Summer School, Barcelona, Spain
by BCBT, Bústia Compartida July 4, 2014

July 4, 2014

Dear all, applications and scholarships to attend the BCBT2014 summer school are now open. Do not miss it! Kind regards BCBT2014 *Barcelona Cognition, Brain and Technology Summer School (BCBT2014)* University Pompeu Fabra, Barcelona, Spain. September 1-12, 2014 http://bcbt.upf.edu/bcbt14/ We would like you to join us for the annual *"Barcelona Cognition, Brain and Technology summer school - BCBT2014 *" to be held from September 1-12, 2014 in Barcelona Spain. The summer school is at its seventh edition and is part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (http://csnetwork.eu/) BCBT 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 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/) as well as the CSN *Podcast interviews *with many of the BCBT speakers.. BCBT caters to the 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 are interested. For the lectures the limit will be placed at 60-70 given the capacity of the available lecture theatre. 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 *BCBT offers a number of scholarships.* These are CSN scholarships <http://csnetwork.eu/scholarships> and may cover travel expenses, accommodation and registration fee.http://bcbt.upf.edu/bcbt14 BCBT2014 is supported by the Convergent Science Network of Biomimetics and Neurotechnology (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

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[job offer] Open-Source 3D printed humanoid robotics: Experienced engineer in electronics
by Pierre-Yves Oudeyer July 4, 2014

July 4, 2014

Job offer at Inria Flowers, France within Poppy Project: Open-Source 3D printed humanoid robotics, http://www.poppy-project.org === Title: Experienced electronics engineer (2 years) === Apply at: pierre-yves.oudeyer(a)inria.fr and matthieu.lapeyre(a)inria.fr === Context The Flowers lab is a mixed team (Inria/Ensta ParisTech) composed of about 20 researchers and engineers. Flowers is a research team internationally renowned in developmental and humanoid robotics. It collaborates with several European, American and Asian laboratories, and coordinates several European projects. The team is also very active in the dissemination of science among the general public, and regularly participates in exhibitions and collaborations with artists as acting to make younger discover robotics. Web: https://flowers.inria.fr === Mission The research work conducted in the Flowers team led to the conception of Poppy (http://www.poppy-project.org/) one of the first humanoid robot in the world to be both open-source and 3D printed. It aims to become a community and multi-disciplinary platform for exploration and experimentation in robotics for Research, Art and Educational purposes. In its current version, Poppy is about 80cm tall for 3.5 kg. It has 25 joints motorized by Robotis smart-actuators (http://www.robotis.com/xe/dynamixel_en) These servo-motors, although effective, cost about 5.000€ on the 7.500€ of Poppy. Poppy is a low-cost robot in the world of research, however for its educational, training and scientific mediation missions, the cost limit its diffusion. Several improvements should be made in order to take down it cost and make Poppy even more accessible. In a team with a mechanical engineer and relying on existing work as Open Servo (http://openservo.com/) and Supermodified (http://letsmakerobots.com/node/18615) your role will be to work on control and automation of Poppy 2. You will also take involved in the execution of projects related to Poppy, and in a international working environment. === Description Conception of the general electronics architecture of the next versions of Poppy and working on low-cost actuator integration. Development of the library and low level control and integration with pypot (https://github.com/poppy-project/pypot) Profile • Practical experience in the design of electronics boards (electronic design automation (Eagle or KiCad), routing design rules, protection (ESD, short-cut), noise filtering) • Theoretical and practical experience with embedded systems (programming microcontroller, low-level communication, sensors, real time) • Control and design of medium power electronics (control loop, H bridge, design of heat sink) • Familiarity with the Arduino environment • Familiarity with the Python programming language • English proficiency • Team work Requirements • Minimum 2 years of experience • Master degree Benefits • Partial support of transportation costs. • Food restauration available on site. • Dynamic and pleasant working ambiance Additional Information • Duration of contract: 24 months • Estimated date of employment: 1 October 2014 • Monthly gross salary: 2600 euros to 3500 euros (depending on experience). For more information about the position, contact pierre-yves.oudeyer(a)inria.fr and matthieu.lapeyre(a)inria.fr

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New journal: Neuropsychiatric Electrophysiology
by Martijn Arns July 4, 2014

July 4, 2014

Dear colleagues, I wanted to point your attention to this new open access journal that was just started with Nash Boutros as Editor in Chief: Neuropsychiatric Electrophysiology: http://www.npepjournal.com<http://www.npepjournal.com/> (NPEP) is an open access journal for researchers and clinicians interested in the applications of electrophysiological techniques for probing basic electrophysiological aberrations in neuropsychiatric disorders. The journal will span basic neuroscience theory, technology and methodology, as well as clinical research and practice, with a focus on moving electrophysiology laboratory findings from the bench to bedside. NPEP welcomes research utilizing various diagnostic and therapeutic techniques as they apply to neuropsychiatric conditions, as well as studies bridging the gap between electrophysiology and neuroimaging, genetics and pharmacology. Kind regards, Martijn Arns, PhD Director / Researcher Twitter: @Brainclinics Research Institute Brainclinics Brainclinics Treatment Bijleveldsingel 34 6524 AD Nijmegen The Netherlands Tel: +31(0)24-7503505 GSM: +31 (0)6-48177919 Fax: +31(0)24-8901447 E-mail: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> URL: www.brainclinics.com<http://www.brainclinics.com>

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[publication and call for dialog] IEEE CIS Newsletter on Autonomous Mental Development 10th anniversary !
by Pierre-Yves Oudeyer July 3, 2014

July 3, 2014

Dear colleagues, It is my pleasure to announce the release of the latest issue of the IEEE CIS Newsletter on Autonomous Mental Development, which is now celebrating its 10th anniversary ! This is the biannual newsletter of the computational developmental sciences and developmental robotics community, studying mechanisms of lifelong learning and development in machines and humans. It has progressively become a place of lively and inspiring scientific dialogues spanning an incredible network of topics over the years, with the contributions of many key actors of computational developmental sciences. It is available at: http://www.cse.msu.edu/amdtc/amdnl/AMDNL-V11-N1.pdf Highlights of this issue: === Dialog initiated by Katarina Pastra, with responses from Rick Dale, Katharina Rohlfing et al., Gary Lupyan, Catriona Silvey, Kerstin Fischer and Emmanuel Dupoux. === "How are Grammatical Constructions Linked to Embodied Meaning Representations?" This dialog explores various facets of the interaction between the formation of linguistic and conceptual/sensorimotor structures, and in particular the hypothesis that language as a communication system may have evolved as a byproduct of language as a tool for organising conceptual structures. === New dialog initiated by Katharina Rohlfing, Britta Wrede and Gerhard Sagerer === “Trained on everything" In the years to come, one very important challenge in developmental sciences is education. Taking an integrated and interdisciplinary approach requires to handle with dexterity concepts and methods from diverse scientific fields ranging from psychology, neuroscience, biology, robotics, computer science or mathematics. How can we grow a community of young researchers mastering the latest advances? How can we teach them to establish cross-disciplinary collaboration and impact? These are the questions raised in the new dialogue initiation. Those of you interested in reacting to this dialog initiation are welcome to submit a response (contact pierre-yves.oudeyer(a)inria.fr) by Septembet 15th, 2014. The length of each response must be between 600 and 800 words (including references). Let me remind you that previous issues of the newsletter are all open-access and available at: http://www.cse.msu.edu/amdtc/amdnl/ I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Autonomous Mental Development Research director, Inria Head of Flower project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com https://flowers.inria.fr http://www.poppy-project.org

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