- Comp-neuro - lists.cnsorg.org

postdoc positions in statistical neuroscience

by xaq pitkow

POSITION: We seek several highly motivated postdoctoral research fellows for a collaborative team project building statistical tools for interpreting large scale neural recordings (10^5 neurons per animal). The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join principal investigators and theorists Krešimir Josić, Genevera Allen, Xaq Pitkow, Ankit Patel, and Robert Rosenbaum. The team will interact closely with experimentalists including co-Investigator Andreas Tolias and several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez at bcm.edu) along with contact information for three references. We look forward to hearing from you!

Sept. 7, 2018

Multiple Faculty Positions in Neuroengineering, Rice University

by Caleb Kemere

Multiple Assistant Professor Positions in Neuroengineering Rice University in Houston, Texas Rice University’s School of Engineering invites applicants for multiple open tenure-track faculty positions at the assistant professor level in the emerging and broad area of neuroengineering. Research areas of interest include but are not limited to, development of technologies for interfacing with and manipulating the nervous system, as well as computational, data, and theory-driven approaches to improve our understanding of the function of the brain, neurological disorders, and treatment outcomes. Rice University has recently launched a $50 million initiative in neuroengineering to support growing research and education programs in neuroengineering, signal processing, data science, sensing, and nano-electronics with great national and international visibility. A Ph.D. is required, or the Ph.D. requirements must be fulfilled by July 1 of the year employment commences, and the successful applicants will be required to teach undergraduate and graduate courses and build successful research programs. Applicants should submit a cover letter, curriculum vitae, statement of research and teaching interests, and at least three references through school’s faculty application website: http://jobs.rice.edu/postings/16626/ Applications for this position will be reviewed on a rolling basis beginning December 15, 2018, through January 15, 2019. The positions are expected to be available July 1, 2019, and successful candidates can choose any of the nine departments in the school of engineering as their home department. Additional information can be found on our website: http://neuroengineering.rice.edu/ Caleb Kemere : 713-348-6089 / 832-356-6089 : MS-384 : BRC727 : http://rnel.rice.edu Asst. Prof, Rice University Electrical & Computer Engineering

Sept. 7, 2018

Open Faculty Positions in Cognitive and Information Sciences at the University of California, Merced

by David Noelle

Four Open Faculty Positions Assistant Professor of Cognitive and Information Sciences University of California, Merced The Department of Cognitive and Information Sciences (CIS) at the University of California, Merced seeks applicants for four (4) tenure-track faculty positions at the Assistant Professor level. CIS is a highly interdisciplinary group offering bachelor’s degrees in Cognitive Science and Philosophy as well as an intensive research-based PhD in Cognitive and Information Sciences. We seek outstanding scholars who will establish and maintain creative research paradigms, participate actively in the development of interdisciplinary programs, and teach and mentor effectively at both the undergraduate and graduate levels. Applicants must have either a strong research record or evidence of the potential to develop an independent and innovative research program. We are especially seeking candidates whose research involves one or more of the following areas: (1) Cognitive and Data Science, (2) Language, Communication, and Culture, and (3) Applied Ethics. Applicants must hold a PhD in a relevant discipline, such as Cognitive Science, Psychology, Philosophy, Neuroscience, Linguistics, Computer Science, or Anthropology, by the position start date, which is anticipated to be July 1, 2019. Applications must be received no later than November 15, 2018 to be considered. For further information, please visit “https://aprecruit.ucmerced.edu/apply/JPF00699”.

Sept. 6, 2018

Hearst Postdoc position at Rhodes College in Memphis

by Blustein_Daniel

Dear Colleagues! We are hiring for a unique post-doctoral position in any area of neuroscience for someone from an historically underrepresented minority group. The position has teaching and research responsibilities and can convert to a tenure-track appointment after two years. The ad is below and I'm happy to answer any questions. Sincerely, Dan Blustein Assistant Professor of Psychology Neuroscience Program Rhodes College Phone: 901-843-3963 | Twitter: @bloostein | web: www.danblu.com Neuroscience Hearst Post-Doctoral Fellowship Ad (2018-2019) Rhodes College invites applicants for a two-year William Randolph Hearst Post-Doctoral Fellowship in Neuroscience<http://www.rhodes.edu/neuro> (area of specialization open) for aspiring faculty from historically underrepresented minority groups in higher education. The position will begin in Fall 2019. Candidates completing a successful two-year fellowship will be considered for conversion to a tenure-track appointment. Rhodes College greatly values diversity of faculty, staff, and students. In 1988 Rhodes College received a gift from the William Randolph Hearst Foundations to establish a fellowship for aspiring faculty from underrepresented minority groups. A primary goal of the fellowship is to provide teaching and research experience at a liberal arts college and mentorship toward a successful teacher-scholar career. The successful candidate will contribute to an interdisciplinary Neuroscience major that includes faculty from Biology, Psychology, Chemistry, and Philosophy. Candidates must have earned a Ph.D. in Neuroscience or a related field (e.g., Biology, Psychology, Chemistry) by August 2019. Teaching responsibilities will include 3 lecture or seminar courses per year, including an introductory lecture course in Neuroscience, and a senior seminar course for Neuroscience majors. Research will be supported by start-up funds and lab space. Extensive opportunities for collaborative research are available through our partnerships with St. Jude Children's Research Hospital, University of Memphis, University of Tennessee Health Science Center, and Le Bonheur Children's Hospital. Founded in 1848, Rhodes College is a highly selective, private, residential, undergraduate college, located in Memphis, Tennessee. We aspire to graduate students with a lifelong passion for learning, a compassion for others, and the ability to translate academic study and personal concern into effective leadership and action in their communities and the world. We encourage applications from candidates interested in helping us achieve this vision<https://www.rhodes.edu/content/rhodes-vision>. Rhodes College values an inclusive and welcoming environment. We are an equal opportunity employer committed to diversity<http://handbook.rhodes.edu/diversity> (http://handbook.rhodes.edu/diversity) in the workforce. Memphis has a metropolitan population of over one million and provides multiple opportunities for research and for cultural and recreational activities<http://www.rhodes.edu/content/our-city> (http://www.rhodes.edu/content/liberal-arts-city) Please apply online at jobs.rhodes.edu<https://jobs.rhodes.edu/>. A complete application includes a cover letter, a curriculum vitae, a statement of teaching philosophy, a research plan, graduate transcripts, up to three representative publications, three letters of recommendation, and a separate statement that addresses how your experiences with teaching, scholarship, and/or service might contribute to a college community that includes a commitment to diversity and inclusion as one of its core values. Please address in your cover letter your interest in a postdoctoral fellowship like the William Randolph Hearst Teaching Fellowship and in teaching at a liberal arts college. Review of completed applications will begin on November 16th and continue until the position is filled. The online application system will solicit letters of recommendation electronically from the candidate's recommenders, once their contact information has been entered and all other required application materials have been submitted. Rhodes College policy requires background checks before candidates can be brought to campus for interviews. For further information, please contact Dr. David Kabelik, kabelikd(a)rhodes.edu<mailto:kabelikd@rhodes.edu>.

Sept. 6, 2018

Workshop- Sept 28th, 2018. Latest Advances in Understanding Complex Spatial Navigation

by Fellous, Jean-Marc - (fellous)

WORKSHOP - Friday Sept 28th, 2018 INSERM U1208, Bron/Lyon, France Latest Advances in Understanding Complex Spatial Navigation in Animals, Computational Models and Neuro-inspired Robots The goal of this one-day workshop is to discuss the latest advances in understanding the neural mechanisms of complex spatial navigation using experimental studies in Animals, Computational Neuroscience and Neuro-robotics. The format of the workshop will be 30 minute presentations giving emphasis on studies that relate at least 2 of the 3 techniques (Animals, Computational Neuroscience and Neuro-robotics). The succinct presentation format will allow for ample time for discussion of current and future advances in the area, and collaboration opportunities. Registration is free but required. The workshop will be limited to 30 people. Registration : http://spaq2018.robolat.org/registration Website : http://spaq2018.robolat.org/ Schedule (subject to change, please check the website): 8:45: Peter Dominey: Introduction and Welcome 9:00: Jean-Marc Fellous - Complex Spatial Navigation and the Dorso-Ventral Hippocampal Axis 9:30: Peter Dominey - Cortico-Hippocampal Interaction for Synthesis of Novel Adaptive Experiences 10:00: Alfredo Weitzenfeld - Multi-Scale Spatial Navigation 10:30 - 11:00 Break 11:00: Laurenz Wiskott - Self-Organization of Place Cells in the Hippocampus 11:30: Philippe Gaussier - The Hippocampo-cortical Loop: Spatial and Temporal Dimensions of information Processing 12:15 - 14:00 Lunch 14:00: Sidney Wiener - Navigational Rule and Strategy Related Activity in the Hippocampal-Prefrontal-Striatal System, and Neuromodulator Relations 14:30: Mehdi Khamassi - Hippocampal Replays under the Scrutiny of Reinforcement Learning Models: From Theory to Neurorobotics Experimentation Back to Biology 15:00: Jeff Krichmar - Conjunctive Coding in an Evolved Spiking Model of Retrosplenial Cortex 15:30 - 16:00 Break 16:00: Francesco Battaglia - Chasing Cell Assemblies in Cortico-Hippocampal Neural Ensembles 16:30: Michael Arbib - From Visual Construction and Spatial Navigation to Episodic Memory and Imagination 17:00 - 17:30 Discussion Sponsored by the National Science Foundation and the Agence Nationale pour la Recherche (CRCNS-ANR Collaborative grant) >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

Sept. 5, 2018

EEG Basic Oscillations Workshop

by TORRALBA CUELLO, MIREIA

Dear all, It is our pleasure to announce the first edition of Barcelona EEG Basic Oscillations Workshop (BEBOW) that will take place in UPF next 26-28th September in Barcelona. The BEBOW is organized by the Multisensory Research Group, part of Cognition and Brain Center and aims at enabling students to perform time-frequency analysis of the EEG (electroencephalography) signal for neurocognitive research. The workshop will cover experimental design and how to perform time-frequency analysis from a theoretical and a practical point of view. It is addressed to master and PhD students, and post-docs who already have some experience with EEG/ERP analyses. You can find more information in the website of BEBOW <https://eventum.upf.edu/21978/detail/barcelona-eeg-basic-oscillations-works…> . Mireia Torralba Cuello Multisensory Research Group Center for Brain and Cognition, Universitat Pompeu Fabra Address: Edifici Mercè Rodoreda 24.313 c\ Ramon Trias Fargas, 25-27 08005 Barcelona http://www.mrg.upf.edu Tel +34 935422745

Sept. 5, 2018

NEURON Course at SFN 2018 meeting

by Ted Carnevale

Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience. Are you a lab director trying to decide whether to add computational modeling to your research program? A grad student or postdoc who is just getting started in modeling? An established NEURON user who wants to find out about NEURON's latest features? If so, this one-day course is for you! The course starts with a practical introduction that reviews basic concepts and presents a workflow for building and using models of cells and networks, and moves on to topics that include: --how to speed up simulations --how to use Python with NEURON (and take advantage of NEURON's GUI!) --how to model reaction-diffusion with the RxD class For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html --Ted

Sept. 5, 2018

High Performance Computing workshop at SFN 2018 meeting

by Ted Carnevale

This year's workshop on High Performance Computing Resources for Parallel Simulations and Data Analysis will be held on Saturday, Nov. 3, from 8:30 AM to 12:30 PM in downtown San Diego as a satellite to the 2018 meeting of the Society for Neuroscience. It will feature presentations from developers and users of powerful hardware and software tools for dealing with computationally-intensive modeling and data analysis tasks. For more information and a link to the registration form, see https://neuron.yale.edu/neuron/static/courses/nsg2018/nsg2018.html The registration deadline for this workshop is Friday Oct. 12, but you should sign up early because space is limited. --Ted

Sept. 4, 2018

Postdoctoral position available in computational muscle modelling

by Sang-Hoon Yeo

Postdoctoral position available: Active spring muscle model - a new phenomenological model of skeletal muscle mechanics Understanding Machina Carnis, how our muscles mechanically generate movement, is one of the fundamental research questions in human movement science and also has significant implications in many application areas. Phenomenological muscle models, such as the Hill-type muscle model, have been widely used in studies on motor control and biomechanics. However, the performances of such models in predicting the dynamic contractile behaviours of the muscle, such as eccentric or sub-maximal contractions, are known to be far from accurate. This BBSRC (Biotechnology and Biological Sciences Research Council, United Kingdom)–funded postdoctoral research associate will join Dr Sang-Hoon Yeo’s research group to develop a new phenomenological model of the skeletal muscle mechanics. The key idea is to incorporate a newly proposed “active spring model” that involves titin as the third filament, together with actin and myosin filament, that actively regulates the mechanical behaviour of the muscle (see figures below). This new model is expected to be effectively utilized in various areas involving musculoskeletal simulation models, where the current prevalent use of the Hill-type model is identified as a major limiting factor. For two years starting in early 2019, the research associate will lead the first stage of the study focusing on in-vitro muscle/fiber experiments and model development. The research programme includes one-month visits to two prominent muscle biomechanics laboratories: 1) Prof Walter Herzog’s lab in University of Calgary (Calgary, Canada) and 2) Prof Kiisa Nisikawa’s lab in Northern Arizona University (Flagstaff, USA) to carry out data collection. Based on the collected data, the research associate will lead the data analysis, computational modelling and simulation of a new muscle mechanics model, and will also collaborate with other research associates to apply the developed muscle model to human biomechanics. The host institution, The University of Birmingham, is a Russell Group university in the vibrant City of Birmingham, United Kingdom. The university has produced eleven affiliated Nobel laureates and is also known as a cradle of modern muscle mechanics, dating back to the seminal work of Peter Rack and David Westbury. The School of Sport Exercise and Rehabilitation Sciences, where the research associate will be based, is a world-leading research institution in sport science, ranked 5th in the world (QS World Ranking, Sport-related subject). This highly interdisciplinary project is waiting for an ambitious and open-minded individual with substantial experience in computational motor control and muscle/musculoskeletal biomechanics. Individuals whose expertise lies in engineering and physical science and want to apply your skills in muscle biomechanics are also strongly encouraged to apply. Experience in wet-lab work is preferred but not strictly required. If you are interested to apply, please contact the principal investigator Dr Sang-Hoon Yeo (s.yeo(a)bham.ac.uk) to initiate discussion. Best wishes, Sang-Hoon -- Dr Sang-Hoon Yeo Lecturer in Biomechanics and Motor Control School of Sport, Exercise & Rehabilitation Sciences The University of Birmingham Edgbaston, Birmingham, B15 2TT, United Kingdom +44(0)121 414 8748

Sept. 4, 2018

Job ad: tenure-track open rank faculty positions in Cognitive Science

by Rajeev Raizada

http://www.sas.rochester.edu/bcs/jobs/faculty.html Cognitive Scientist, Open Rank, University of Rochester The Department of Brain and Cognitive Sciences at the University of Rochester is seeking to hire multiple faculty members in the area of decision making and cognitive or sensorimotor planning at the Assistant (tenure-track) or Associate Professor level. Areas of interest include the roles of learning, prediction, memory, and attention in guiding goal-directed behavior, especially within complex, naturalistic environments. We are primarily interested in candidates using neuroimaging, computational (e.g., Bayesian decision theory, reinforcement learning), behavioral (including technology-driven approaches such as virtual reality), and/or developmental approaches. Both individuals and teams are encouraged to apply. Successful candidates will join a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.sas.rochester.edu/bcs/) she or he will also be part of a university–wide community engaged in graduate and undergraduate education. Candidates should hold a PhD degree (or equivalent) in cognitive science, psychology, neuroscience, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, and contact information for three referees via the following website: http://www.rochester.edu/faculty-recruiting. In addition, team applications should include a joint statement that describes the research synergies of the team. Questions concerning this position can be addressed to Robert Jacobs (rjacobs(a)ur.rochester.edu) and Duje Tadin (dtadin(a)ur.rochester.edu) co-chairs of the search committee. Review of applications will begin on November 1, 2018. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. EOE / Minorities / Females / Protected Veterans / Disabled

Sept. 4, 2018

An Amazing Job Opportunity at Apple!

by Burak Yildiz

We are looking for a Senior Systems Neuroscientist to join a great team of researchers at Apple in the San Francisco Bay Area. It's a unique opportunity to do research in industry. Please apply at this link: https://jobs.apple.com/us/search#&ss=Neuroscientist&t=0&so=&lo=0*USA&pN=0&o… Thanks, Burak Yildiz Sr. Research Scientist at Apple

Sept. 4, 2018

[meetings] Call for Participation : Workshop on Continual Unsupervised Sensorimotor Learning - Tokyo - September 17th

by Nguyen, Sao Mai

Call for Participation Workshop on Continual Unsupervised Sensorimotor Learning at IEEE ICDL-Epirob 2018 - Tokyo - September 17th Website : http://conferences.au.dk/icdl-epirob-2018-workshop/ ============================================================ Invited Speakers - Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany - David Ha, Google Brain - Lorenzo Jamone, Queen Mary University of London, UK Scope As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance. They include multi-task learning, multimodal sensorimotor learning in open worlds and lifelong adaptation to injury, growth and ageing. In this workshop we will discuss the developmental processes involved in the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The discussion will be strongly motivated by behavioural and neural data. We hope to provide a discussion friendly environment to connect with research with similar interest regardless of their area of expertise which could include robotics, computer science, psychology, neuroscience, etc. We would also like to devise a roadmap or strategies to develop mathematical and computational models to improve robot performance and/or to attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. The primary list of topics covers the following (but not limited to): - Emergence of representations via continual interaction - Continual sensory-motor learning - Action-perception cycle - Active perception - Environmental-driven scaffolding - Intrinsic motivation - Neural substrates, neural circuits and neural plasticity - Human and animal behaviour experiments and models - Reinforcement learning and deep reinforcement learning for life-long learning - Multisensory robot learning - Multimodal sensorimotor learning - Affordance learning - Prediction learning Organizers: - Nicolás Navarro-Guerrero, Aarhus University, Aarhus, Denmark - Sao Mai Nguyen, IMT Atlantique, France - Erhan Öztop, Özyeğin University, Turkey - Junpei Zhong, National Institute of Advanced Industrial Science and Technology (AIST), Japan Nguyen Sao Mai nguyensmai(a)gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr

Sept. 3, 2018

[journals] CfP : Special Issue on Continual Unsupervised Sensorimotor Learning

by Nguyen, Sao Mai

Dear Colleagues, IEEE Transactions on Cognitive and Developmental Systems is currently running a Special Issue entitled " Continual Unsupervised Sensorimotor Learning". Dr. José Antonio Iglesias Martínez, Assoc. Prof. We would like to invite you to prepare a research article or a comprehensive review to be published in this special issue. AIM AND SCOPE Although machine learning algorithms continue to improve at a rapid pace enabling technologies and products such as autonomous driving cars and sophisticated image and speech recognition, it is often forgotten that these applications represent tailored solutions to specific tasks. Thus it is not clear if or how these autonomous systems can pave the road to general purpose machines envisioned by many. The pursuit for higher levels of autonomy and versatility in robotics is arguably lead by two main factors. Firstly, as we push robots out of the labs and productions lines, it becomes increasingly difficult to design for all possible scenarios that a particular robot might encounter. Secondly, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive. As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance in order to get more autonomous artificial systems. These challenges include multi-task learning, multimodal sensorimotor learning and lifelong adaptation to injury, growth and ageing. Addressing these challenges promise higher levels of autonomy and versatility of future robots. This special issue on Continual Unsupervised Sensorimotor Learning is primarily concerned with the developmental processes involved in unsupervised sensorimotor learning in a life-long perspective, and in particular the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The special issue will highlight behavioural and neural data, and cognitive and developmental approaches to research in the areas of robotics, computer science, psychology, neuroscience, etc. Contributions might focus on mathematical and computational models to improve robot performance and/or attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. Contributions from multiple disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology, on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are welcome. THEMES This special issue aims to report state-of-the-art approaches and recent advances on Continual Unsupervised Sensorimotor Learning with a cross-disciplinary perspective. Topics relevant to this special issue include but are not limited to: Emergence of representations via continual interaction Continual sensory-motor learning Action-perception cycle Active perception Environmental-driven scaffolding Intrinsic motivation Neural substrates, neural circuits and neural plasticity Human and animal behaviour experiments and models Reinforcement learning and deep reinforcement learning for life-long learning Multisensory robot learning Multimodal sensorimotor learning Affordance learning Prediction learning SUBMISSION Manuscripts should be prepared according to the “Information for Authors” of the journal found at http://cis.ieee.org/component/content/article/7/131-ieee-transactions-on-au…. Submissions must be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee. Please select the category “SI: Continual Unsupervised Sensorimotor Learning”. IMPORTANT DATES 6th January 2019 – Paper submission deadline 15th March 2019 – Notification for authors 31st May 2019 – Deadline revised papers submission 30th June 2019 – Final notification for authors 31st July 2019 – Deadline for camera-ready versions September 2019 – Expected publication date More information on Continual Unsupervised Sensorimotor Learning http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue… GUEST EDITORS Nicolás Navarro-Gerrero Aarhus University, Aarhus, Denmark nng(a)eng.au.dk Sao Mai Nguyen IMT Atlantique, Francenguyensmai(a)gmail.com Erhan Öztop Özyeğin University, Turkeyerhan.oztop(a)ozyegin.edu.tr Junpei Zhong National Institute of Advanced Industrial Science and Technology (AIST), Japanjoni.zhong(a)aist.go.jp ---- Nguyen Sao Mai nguyensmai(a)gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr

Sept. 3, 2018

2 open PhD positions in Sprekeler & Kempter labs on models of memory consolidation

by Richard Kempter

Dear all, 2 PhD positions are open in the labs of Henning Sprekeler (TU Berlin) and Richard Kempter (HU Berlin), respectively, to be filled as soon as possible. Both positions are part of the recently established collaborative research center "Mechanisms and disturbances in memory consolidation: >From synapses to systems" https://fis.hu-berlin.de/converis/portal/Project/401700446?auxfun=&lang=en_… The project B01 in this research center focuses on developing computational models of systems memory consolidation, both conceptually and constrained by data from rodents and flies. The two PhD students are expected to collaborate closely. The ideal candidate has a background in computational neuroscience, strong mathematical and programming skills, and a keen interest in synaptic plasticity, learning and memory. If you are interested, please contact Henning Sprekeler or Richard Kempter. Please send the usual application documents (CV, letter of motivation, certificates of BSc and MSc, 2 references) until September 13, 2018. Interviews will take place on September 24/25 and/or September 28, i.e. around the Bernstein Conference in Berlin. Best wishes, Henning & Richard --- Prof. Dr. Henning Sprekeler (TU Berlin) Modelling of cognitive processes Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Sekr. MAR 5-3 Marchstr. 23 10587 Berlin, Germany Email: h.sprekeler(a)tu-berlin.de https://www.cognition.tu-berlin.de/menue/members/henning_sprekeler/ Phone: +49 (0)30 314 73557 Prof. Dr. Richard Kempter (HU Berlin) Theoretical neuroscience Humboldt-Universität zu Berlin & Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Building number 4 D-10115 Berlin, Germany Email: r.kempter(a)biologie.hu-berlin.de http://itb.biologie.hu-berlin.de/~kempter/index.html Phone +49-(0)30-2093-98404

Sept. 3, 2018

EEG and Machine Learning Postdoctoral Position at Stanford for Personalized Medicine

by Sanggyun Kim

*EEG and Machine Learning Postdoctoral Position at Stanford for PersonalizedMedicine* The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral fellow focused on machine learning and other sophisticated analyses of electroencephalography (EEG) data. This position is funded by an NIH Director’s Pioneer Award. The focus of the position is on creating and applying a variety of data analytic approaches to large EEG data sets (across individuals, or longitudinally within- individual) for the purpose of prediction of clinical outcome and tracking of clinical change. Particular emphasis is on connecting signal processing methodology to the classification challenges, potential use of deep learning, and building on applications from other related areas (e.g. brain-computer interface or other decoding efforts). It is anticipated that this work will contribute to development of clinic-translatable biomarkers, and will be part of FDA approval-directed efforts ongoing in the lab. The successful applicant will have a PhD in Engineering, Statistics, Computer Science, Neuroscience, Neurophysiology, Psychology, or related fields. Advanced experience with EEG data analysis and/or machine learning is required. Additionally, strong quantitative skills and a programming background are important. Duties will also include manuscript preparation, presentation of findings at conferences, and contribution to the preparation of grants. Laboratory and Stanford resources are extensive, MRI scanners, simultaneous EEG/fMRI, multiple high density EEG setups, and concurrent transcranial magnetic stimulation (TMS)/fMRI and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and the names of three recommenders, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford Neurosciences Institute Stanford University amitetkin(a)stanford.edu

Sept. 1, 2018

The Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The new Impact Factor of the journal is 2.414 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Stochastic Hybrid Systems in Cellular Neuroscience Paul C. Bressloff and James N. Maclaurin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Data Assimilation Methods for Neuronal State and Parameter Estimation Matthew J. Moye and Casey O. Diekman https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Bifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generator Andrea Ferrario, Robert Merrison-Hort, Stephen R. Soffe, Wen-Chang Li and Roman Borisyuk https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… What Is Required for Neuronal Calcium Waves? A Numerical Parameter Study Markus Breit and Gillian Queisser https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Investigating the Correlation–Firing Rate Relationship in Heterogeneous Recurrent Networks Andrea K. Barreiro and Cheng Ly https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- 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 contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Aug. 28, 2018

Frontiers Research Topic on Data Assimilation

by Axel Hutt

Announcement of the Frontiers Research Topic -------------------------------------------------------------------------------------- Data Assimilation of Nonlocal Observations in Complex Systems -------------------------------------------------------------------------------------- Natural complex systems exhibit spatio-temporal dynamics on multiple scales that are difficult to predict and understand. To gain deeper insights into the system's dynamics and to be able to predict its evolution, observations of that system are analyzed which allows to derive or motivate models that fit that system. In general, one may distinguish two types of data. The so-called in-situ or local observations capture direct measurements of the system itself, such as temperature at a specific height in the atmosphere or electric potentials in biological cells. Other observations are not measured at a certain location but represent the integral of some relevant quantities manifesting the system's activity. Examples in meteorology for such nonlocal observations are satellite radiances, slant delays and radio occultation based on GPS data, or radar reflectivities. In biological systems, the non-invasive measurement techniques provide nonlocal observations, such as electro- and magnetoencephalogram or Magnetic Resonance Imaging. In addition to observations, realistic models are essential to improve the understanding of natural complex systems and to predict their dynamical evolution. To merge both models and observations, it is essential to develop techniques that optimally estimate the system activity well-adapted to a model and observed data. Data assimilation comprises a number of methods to merge diverse experimental data with an underlying model. Data assimilation optimally combines observations and a model to achieve a certain goal, such as optimal fitting of model parameters or providing optimal forecasts of the system's dynamics. Since the recent years have shown an increasing number of observation techniques capturing integrals of system activity, data assimilation of nonlocal observations becomes more and more important. The present Research Topic aims to bring together recent theoretical work in data assimilation of nonlocal observations with a strong link to specific applications. This article collection reflects the state-of-the-art in this research field. Examples of theoretical topics (as an unconstrained open list) are Kalman filters, variational assimilation techniques, regression techniques and stochastic optimization techniques. Applications may range from the parameter estimation in genetic regulatory networks over prediction of brain dynamics to weather forecast. We invite you to submit an abstract until November 30, 2018 and the manuscript until June 30, 2019. Contributions will be published as soon as they are accepted and synchronously gathered in the Research Topic volume. For more information, do not hesitate to contact us (email of Axel Hutt: digitalesbad(a)gmail.com) The organisers Lili Lei (Nanjing University) Marc Bocquet (Ecole des Ponts ParisTech) Alberto Carrassi (Nansen Environmental Remote Sensing Center) Axel Hutt (Deutscher Wetterdienst) Roland Potthast (Deutscher Wetterdienst) -- Axel Hutt Directeur de Recherche Deutscher Wetterdienst - German Meteorological Service Research and Development, Department FE 12 (Data Assimilation) Frankfurter Strasse 135, 63067 Offenbach, Germany Tel.: +49 69 8062 2750 http://www.geocities.ws/digitalbath/

Aug. 27, 2018

LACONEU Summer School - January 2019

by Patricio Orio

----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2019 V Latin American Summer School in Computational Neuroscience Special Topic: Complex Systems and Network Connectivity January 7-25th, 2019 Valparaíso - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2019 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2019 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. This version also includes a WORKSHOP on January 16th, 2019 CONFIRMED SPEAKERS: - Demian Battaglia, Theoretical Neuroscience Group, INT, France - Joana Cabral, University of Oxford, UK - Bruno Cessac, INRIA Sophia-Antipolis, France - Dante Chialvo, Universidad Nacional de San Martín, Argentina - Rodrigo Cofré, Universidad de Valparaíso, Chile - Mauro Copelli, Federal University of Pernambuco, Brazil - Maxime Descoteaux, Université de Sherbrook, Canada - Wael El-Deredy, Universidad de Valparaíso, Chile - Pamela Guevara, Universidad de Concepción, Chile - María-José Escobar, Universidad Técnica Federico Santa María, Valparaíso, Chile - Henrik Jensen, Imperial College London, UK - Thierry Mora, École Normale Superiéure, France - Patricio Orio, Universidad de Valparaíso, Chile - Adrián Palacios, Universidad de Valparaíso, Chile - Tomás Pérez Acle, Fundación Ciencia y Vida, Chile - Peter Robinson, The University of Sydney, Australia - Fernando Rosas, Imperial College London, UK - Inés Samengo, Centro Atómico Bariloche e Instituto Balseiro, Argentina IMPORTANT DATES - Call for Applications: June 8th, 2018 - Application submission deadline: September 15th, 2018 (visit the webpage to see the details) - Acceptance notification: October 31st, 2018 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! *Prof. Patricio Orio* Centro Interdisciplinario de Neurociencias de Valparaíso *CINV* Facultad de Ciencias, *Universidad de Valparaíso, Chile* +56 32 299 5538 / 32 250 8040

Aug. 24, 2018

Postdoc at RIKEN Center for Brain Science, Japan

by Taro Toyoizumi

A postdoc position is available at Lab for Neural Computation and Adaptation, RIKEN Center for Brain Science, Japan http://toyoizumilab.brain.riken.jp/ to work with Taro Toyoizumi. Job: https://cbs.riken.jp/en/careers/20180817_w929_t_toyoizumi_r.html Our lab is interested in modeling activity-dependent synaptic plasticity and dynamic information processing by the neurons in the brain. We seek highly motivated postdoctoral researchers with a strong analytical background and interest in neuroscience. Applicants should have a PhD in physics, neuroscience, mathematics, computer science, engineering, or a related area. Applicants should email a CV and a list of publications to toyoizumilab(a)ml.riken.jp In addition, applicants should organize two letters of recommendation, to be sent by the referees to toyoizumilab(a)ml.riken.jp

Aug. 23, 2018

NEST 2.16.0 released

by Hans Ekkehard Plesser

Dear colleagues! I am very excited to inform you that we have released version 2.16.0 of NEST, the Neural Simulation Tool, today. NEST 2.16.0 is the result of 89 merged pull requests by 39 developers since we released NEST 2.14.0 in October 2017. Most notably, this release includes a new infrastructure for the storage of connections, which reduces the memory consumption and network build times (Jordan et al., 2018) and extends the rate model framework for novel use-cases (Senden et al., 2018). As usual, it also includes numerous bug fixes and minor improvements. At the same time, the we have tried to minimize changes to the user interface, so scripts that worked with NEST 2.14.0 should work with NEST 2.16.0 as well. One exception is that global spike detectors have been removed, but this should be relevant only for users on petascale machines. For a detailed list of changes, please see https://github.com/nest/nest-simulator/releases/tag/v2.16.0 The citation for NEST 2.16.0 is Linssen, Charl, Lepperød, Mikkel Elle, Mitchell, Jessica, Pronold, Jari, Eppler, Jochen Martin, Keup, Chrisitan, … Plesser, Hans Ekkehard. (2018, August 27). NEST 2.16.0 (Version 2.16.0). Zenodo. http://doi.org/10.5281/zenodo.1400175 We would like to encourage you to switch to NEST 2.16.0 as soon as possible and are looking forward to hearing about your experiences! On behalf of the NEST Initiative, I would like to thank all developers who have contributed to NEST 2.16.0 and especially our release managers Dennis Terhorst and Jochen Eppler for wrapping it all up! Best regards, Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

Aug. 21, 2018

Human Neocortical Neurosolver: A new tool for circuit level investigation of MEG/EEG data

by Stephanie Jones

We are excited to announce the first release of a new user-friendly software package for circuit level interpretation of human EEG/MEG data: Human Neocortical Neurosolver (HNN). The foundation of HNN is a computational neural model that simulates the electrical activity of the neocortical cells and circuits that generate the primary electrical currents underlying EEG/MEG recordings. HNN is a free open source package that was designed for researchers and clinicians, without computational neural modeling experience, to develop and test hypothesis on the circuit origin of their data. We provide tutorials on how to import your data and to begin to understand the underlying neural mechanisms. The tutorials focus on some of the most commonly measured signals, including event related potentials and low frequency alpha, beta and gamma rhythms. We are eager to help users get started and have developed a user forum for feedback and questions. HNN is distributed at https://hnn.brown.edu <https://hnn.brown.edu/>. HNN is being developed by a collaborative team at Brown, MGH and Yale. HNN developments are funded by the National Institute of Biomedical Imaging and Bioengineering through the BRAIN Initiative: Theories, Models, and Methods of Analysis of Complex Data from the Brain. ******************************************* Stephanie R. Jones, PhD - on behalf of the development team Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://www.brown.edu/research/labs/jones/

Aug. 21, 2018

Full-time industry position: Computational Neuroscience / Neuromorphic Machine Learning

by Dylan Muir

aiCTX is an ultra-low-power neuromorphic computing startup / spin-off of the Institute of Neuroinformatics of the University of Zurich and the ETH Zurich. aiCTX has an immediate opening for a Neuromorphic Machine Learning R&D Engineer We are looking particularly for comp. neurosci. researchers, with a background in theory and/or modelling of spiking neural networks. This position is for a full-time on-going contract, in Zürich Switzerland. We also have paid internships available for qualified candidates. Please see the job posting for more details, and to apply: http://bit.ly/aiCTX_job2 <http://bit.ly/aiCTX_job2>

Aug. 17, 2018

Funded mathematics PhD position - Designing the dynamics of coupled oscillators - University of Exeter

by Purcell, Sarah

Funded mathematics PhD position - Designing the dynamics of coupled oscillators University of Exeter<https://www.exeter.ac.uk/>, UK Supervisors: - Dr Christian Bick<http://empslocal.ex.ac.uk/people/staff/cb618/> - Dr Kyle Wedgwood <http://emps.exeter.ac.uk/mathematics/staff/kcaw201> The University of Exeter's College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in September 2018 or as soon as possible thereafter. For eligible students the studentship will cover tuition fees in full plus an annual tax-free stipend of at least £14,777 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the Department of Mathematics in the College of Engineering, Mathematics and Physical Sciences in Exeter. Networks of interacting oscillatory units are abundant in nature and technology. Their function and dynamics governs crucial aspects of our lives, ranging from the stability of power grids to the dynamics of the human brain. The dynamics of oscillator networks depends on (1) which oscillators interact with which other oscillator and (2) how oscillators interact with one another. This project will contribute to the question how the interplay between these two factors shape the network dynamics. The main aim of this PhD project is to develop theoretical and numerical approaches how oscillator networks can be designed to have specific interactions. This will allow to generate networks that exhibit a range of synchronized and locally synchronized dynamics. Moreover, the supervisor is currently collaborating with the experimental group of Istvan Z Kiss in St Louis (USA) who are working on electrochemical oscillators. Hence, there may be an opportunity to help implement the theoretical results in real-world experimental systems. The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence in September 2018 or on a mutually agreed date as soon as possible thereafter, and is subject to confirmation of funding. For full details please see the PhD advert<https://www.exeter.ac.uk/studying/funding/award/?id=3189>. If you have any questions, please get in touch with Dr Christian Bick<http://empslocal.ex.ac.uk/people/staff/cb618/> or Dr Kyle Wedgwood. <http://emps.exeter.ac.uk/mathematics/staff/kcaw201>

Aug. 17, 2018

Postdoc available in Brinkman group at Stony Brook University

by Braden Brinkman

A postdoctoral position is available in Braden Brinkman's group in the Department of Neurobiology and Behavior at Stony Brook University, located on Long Island in New York State. The Brinkman group studies mathematical models of sensory coding and network dynamics, with a focus on how environmental and physiological constraints shape coding and computation in the brain. For more information on our work and the department, please visit https://medicine.stonybrookmedicine.edu/node/14355 Candidates must have a strong background in quantitative methods; background in statistical physics is a plus. Please submit applications through Stony Brook's jobs portal here (job # 1802370): https://stonybrooku.taleo.net/careersection/post_docs/jobdetail.ftl?job=180… Complete applications must include 1. C.V. including a list of publications/preprints, research experience, and education 2. A 1-2 page summary of previous research accomplishments 3. A 1-2 page description of future research goals and interests 4. 2-3 references letters from scientists familiar with the candidates work Items 1-3 may be attached through the online application portal. Letter writers should send letters directly to braden.brinkman(a)stonybrook.edu Deadline for applications is Sept 1. Please email braden.brinkman(a)stonybrook.edu with any questions.

Aug. 16, 2018

Contrat post-doctorant 2018-2020 - Laboratoire FrontLAB, Institut du Cerveau et de la Moelle Epinière (ICM), PARIS (FR)

by Bénédicte BATRANCOURT

*Contrat post-doctoral 2018-2020* Laboratoire FrontLAB, Institut du Cerveau et de la Moelle Epinière (ICM), PARIS Inserm, U 1127, CNRS, UMR 7225, Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127 https://icm-institute.org/fr/ L’Institut du Cerveau et de la Moelle épinière (ICM) est un centre de recherche de dimension internationale, innovant dans sa conception comme dans son organisation. En réunissant en un même lieu malades, médecins et chercheurs, l’objectif est de permettre la mise au point rapide de traitements pour les lésions du système nerveux afin de les appliquer aux patients dans les meilleurs délais. D’un point de vue scientifique, les équipes de recherche sont indépendantes, mais alliées entre elles par des Programmes Transversaux de Recherche favorisant la mutualisation des compétences. La recherche se décline selon trois modèles : la recherche fondamentale orientée vers les domaines fondamentaux d’une discipline, la recherche clinique dans laquelle le sujet participe à des protocoles pour améliorer la connaissance d’une pathologie ou d’une thérapeutique et la recherche translationnelle qui permet aux patients de bénéficier plus rapidement des innovations diagnostiques et thérapeutiques. La recherche à l’ICM couvre 4 domaines scientifiques majeurs : Neurosciences Moléculaires et Cellulaires, Neurophysiologie intégrée, Neurosciences Cognitives, Neurosciences Cliniques et Translationnelles. Dans notre équipe FRONTlab (Richard LEVY, Bruno DUBOIS), nous travaillons sur les fonctions mentales élaborées par les lobes frontaux. L’un des enjeux majeurs des neurosciences est de connaître en profondeur les fonctions frontales afin de *comprendre comment sont élaborés et contrôlés nos comportements les plus complexes* (prise de décision, planification raisonnement, créativité, jugement moral, interactions sociales…). Une connaissance approfondie des lobes frontaux est aussi indispensable pour mieux traiter les nombreuses maladies neurologiques et psychiatriques s’accompagnant d’une atteinte des lobes frontaux (maladie d’Alzheimer, AVC, traumatismes crâniens, dépression, schizophrénie…). Nos objectifs sont de mieux cerner l’implication des lobes frontaux dans le comportement humain et les fonctions intellectuelles les plus élaborées, et de transférer les connaissances acquises vers la pratique médicale. Nous proposons un contrat de postdoctorant de 2 ans afin de participer au développement du projet ECOCAPTURE, permettant d’évaluer l’apathie de façon quantitative et objective, par l’observation du sujet en condition proche de la vie réelle. L’étude ECOCAPTURE se déroule dans la plate-forme de recherche de psychologie expérimentale de l'ICM (PRISME) qui est consacrée à l'exploration fonctionnelle du comportement humain dans des situations écologiques. L’étude ECOCAPTURE a débuté en septembre 2017, et porte sur 75 patients (Démence Fronto-Temporale, Parkinson, Dépression) et 60 volontaires sains. A ce jour 16 participants ont été inclus (8 patients et 8 volontaires sains). Dans cette étude et la phase dite de laboratoire, *l’apathie est évaluée en condition observationnelle* grâce à un système qui enregistre le comportement du sujet à l’aide d’un système à base de vidéo et de capteurs, durant une session expérimentale de 45 mn « proche de la vie réelle » qui se déroule dans une salle d’attente, selon un scénario contrôlé. L’objectif principal de l’étude ECOCAPTURE est de montrer que l’outil ECOCAPTURE basé sur des enregistrements vidéo et des capteurs d’activité et de mouvements, possède une valeur d’outil diagnostique de l’apathie. La méthode générale concerne en l’extraction de métriques comportementales à partir des données vidéo et des données extraites d’un accéléromètre 3D afin de différencier le comportement des patients de celui des sujets volontaires sains. L’étude ECOCAPTURE est la première étape d'un programme en trois phases visant à mieux évaluer l'apathie en situation « proche de la vie réelle » et à proposer de nouveaux traitements. La première phase dite « de laboratoire » a pour objectif la mise en œuvre d’un outil diagnostic de l'apathie produisant une « signature simple du comportement dirigé vers un but » ou « signature comportementale de l’apathie » permettant d'évaluer l'apathie, en situation de vie quotidienne, de façon objective (un marqueur d'apathie). Nous espérons que la création et la validation de cet outil ECOCAPTURE rendra possible dans une deuxième phase, son utilisation en clinique ainsi qu’une évaluation au domicile *ECOCAPTURE@home* avec un système de capteurs embarqués : un « holter d'apathie ». Une troisième phase visera à proposer un traitement des conséquences de l'apathie dans la vie quotidienne. L’objectif de ce contrat postdoctoral est de développer la deuxième phase : *ECOCAPTURE@home*. Nous recherchons un candidat titulaire d’un doctorat en neurosciences, sciences cognitives ou en bioinformatique, de formation : psychologue, neuropsychologue, neurologue, psychiatre, éthologue ou ingénieur biomédical. Le candidat devra posséder plusieurs compétences parmi la liste suivante : neuropsychologie, éthologie, mesure du comportement, instruments neuropsychologiques, qualités psychométriques d’un outil d’évaluation, capteurs et actigraphie, statistiques, fusion de données, classification. Une bonne connaissance de la langue française est indispensable afin de permettre les interactions avec les patients et leurs aidants. Ce contrat permettra à un chercheur motivé de participer à un projet multidisciplinaire et très original, de collaborer avec des chercheurs de disciplines diverses, de bénéficier d’un environnement scientifique international et stimulant, et de participer à la vie de l’équipe FrontLAB constituée d’un groupe de 12 PI chacun responsable d’un projet dédié à la compréhension du lobe frontal, et accueillant chaque année de nombreux étudiants. *La rémunération sera établie en fonction du barème de rémunération des contractuels Inserm* Merci d’envoyer votre CV avec une lettre de motivation et les noms et emails de deux personnes de référence à Bénédicte BATRANCOURT ( benedicte.batrancourt(a)upmc.fr) avant le 30 septembre 2018. Bénédicte Batrancourt ICM, UPMC, INSERM UMR_S 1127, CNRS UMR 7225 Hôpital Pitié-Salpêtrière 47 Boulevard de l’Hôpital F-75651 PARIS Cedex 13 Tel : 01 57 27 41 59 Tel : 06 60 44 79 79 benedicte.batrancourt(a)upmc.fr http://icm-institute.org ----------------------------------- Afin de contribuer au respect de l'environnement, merci de n'imprimer ce mail qu'en cas de nécessité.

Aug. 16, 2018