January 2018 - Comp-neuro - lists.cnsorg.org

Reminder: Upcoming Gordon Research Conference on Neuroelectronic Interfaces
by Ulrich G. Hofmann 24 Jan '18

24 Jan '18

Dear colleagues, as the number of participants is limited and the conference is filling up fast, do not forget to apply in time for the Gordon Research Conference on Neuroelectronic Interfaces: Beyond Feasibility - Bridging the Gap in Neuroelectronic Interfaces. (https://www.grc.org/neuroelectronic-interfaces-conference/2018/ <https://www.grc.org/neuroelectronic-interfaces-conference/2018/>) from March 25th to 30th at the Hotel Galvez, Galveston, TX. The conference is dedicated with very high profile speakers and open, off-the-record discussions to tackle the reported inability of penetrating brain implants to consistently record high quality neural signals over clinically relevant time frames. Looking forward to see you there! uli hofmann Ulrich G. Hofmann, Prof. Dr. rer. nat. habil., Peter-Osypka-Professor Chair Gordon Research Conference on Neuroelectronic Interfaces March 25-30 2018, Galveston TX http://www.grc.org/programs.aspx?id=17731 Medical Center -University of Freiburg Department of Neurosurgery Section for Neuroelectronic Systems Engesserstr. 4, 79108 Freiburg, Germany

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Okinawa/OIST Computational Neuroscience Course 2018: submission deadline next week
by Erik De Schutter 24 Jan '18

24 Jan '18

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2018 Methods, Neurons, Networks and Behaviors June 25 to July 12, 2018 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 25th through July 12th, 2018 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 3, 2018. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 15th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Maxim Bazhenov (University of California San Diego, USA) • Michael Brecht (Bernstein Center for Computational Neuroscience Berlin, Germany) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Shaul Druckmann (Janelia Research Campus, USA) • Karl Friston (Wellcome Trust Centre for Neuroimaging, UCL, UK) • Wulfram Gerstner (École Polytechnique Fédérale de Lausanne, Switzerland) • Michele Giugliano (University of Antwerp, Belgium) • Mitsuo Kawato (ATR, Japan) • Bernd Kuhn (OIST) • Kazuhisa Shibata (Nagoya University, Japan) • Olaf Sporns (Indiana University, USA) • Greg Stephens (OIST) • Tatjana Tchumatchenko (MPI for Brain Research, Frankfurt, Germany) • Krasimira Tsaneva-Atanasova (University of Exeter, UK) • Yoko Yazaki-Sugiyama (OIST)

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PhD position for classification of affective states using EEG and eye tracking in the context of a training task.
by Yannick Roy 24 Jan '18

24 Jan '18

PhD position for classification of affective states using EEG and eye tracking in the context of a training task. Description: Faubert Lab is looking for a PhD student to work on the detection and classification of affective states with EEG and eye tracking data during pilot training tasks. The PhD student will explore both online and offline solutions as well as traditional machine learning and novel deep learning approaches. The classification of affective states using EEG and eye tracking is one component of a bigger project and, therefore, the PhD student will work with other PhD and master students all responsible for different aspects of the project. Requirements: Faubert Lab expertise is in vision and perception and we are looking for someone with programming skills coming from a technical background such as engineering or computer science. Preferably with experience in machine learning and/or deep learning. Working conditions: This project is part of an NSERC industrial collaborative research and development grant with CAE, a world leader in flight simulation and training. This is a fully funded position: $21k / year for 3 years. Please send a curriculum vitae and a letter outlining research experience and career goals to faubertlab [at] opto.umontreal.ca For more information on Faubert Lab (University of Montreal), please visit http://faubertlab.com/ We thank all applicants for applying for this position, but only those considered for an interview will be contacted. -Yannick PhD Student, Faubert Lab University of Montreal

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COSYNE 2018: Registration, Hotels, Cosyne tutorial session
by Tomas Hromadka 23 Jan '18

23 Jan '18

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== ---------------------------------------------------- REGISTRATION AND HOTELS ---------------------------------------------------- Online registration for Cosyne is currently open. Please note that presenting authors must register for the main meeting by 31 January 2018. Early online registration deadline 06 February 2018, 2017, 11.59PM EST Hotel booking for Cosyne is currently open. Please note that deadlines for reduced hotel rates are fast approaching. For more detailed information on Cosyne registration and accommodation, please visit Cosyne.org -> Registration and Cosyne.org -> Hotels. ---------------------------------------------------- TRAVEL DISCOUNTS ---------------------------------------------------- For details on discounts for various travel options to and from Cosyne 2018, please visit Cosyne.org -> Transportation. ---------------------------------------------------- COSYNE TUTORIAL SESSION ---------------------------------------------------- This year, Cosyne is hosting its first tutorial session, sponsored by the Simons Foundation. The tutorial on "Statistical models for neural data: from GLMs to latent variables" will be given by Jonathan Pillow on 01 March 2018, before the main meeting starts. Space is limited. You can register for the tutorial when registering for the main meeting. For details on the tutorial and registration, see Cosyne.org -> Tutorial and Cosyne.org -> Registration. ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience
by Jan Drugowitsch 23 Jan '18

23 Jan '18

Location: Harvard Medical School, Boston, MA Start: April 2018 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School (http://neuro.hms.harvard.edu/people/faculty/jan-drugowitsch). The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. In the short term, the postdoctoral fellow is expected to design and analyze behavioral and neural models of decision-making that are gauged against data from human subjects, collected by the laboratory of Dr. Wyart at École Normale Supérieure, Paris. In the long term, close interaction and collaboration with other members of the department is anticipated. Candidates should have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Previous experience should include sufficient programming skills to run numerical simulations, Bayesian methods, and expertise in the analysis of dynamical systems. The position starts in or after April 2018, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch(a)hms.harvard.edu. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place March 1-6, for questions and further information about the opening. Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School https://drugowitschlab.hms.harvard.edu/

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postdoc in depression DBS at Georgia Tech
by Christopher Rozell 23 Jan '18

23 Jan '18

A postdoc position at the intersection of computational neuroscience, clinical neuropsychiatry and data analysis is available working jointly with the labs of Christopher Rozell and Robert Butera at the Georgia Institute of Technology (Atlanta, GA). This BRAIN Initiative research project seeks to develop electrophysiological biomarkers to characterize disease progression and optimize deep brain stimulation (DBS) for treatment-resistant depression. This clinically-focused project (clinical lead is Dr. Helen Mayberg) is a collaboration with Emory University and the Icahn School of Medicine at Mount Sinai that is providing access to one-of-a-kind human electrophysiology data recorded by implanted DBS devices *during therapy* in an experimental trial. The role of our computational team is to develop analysis and modeling approaches to identify electrophysiological signatures that correlate with treatment response and optimize stimulation parameters. This is an opportunity to work on a challenging scientific problem with real impact on a sick patient population. Applicants should hold a PhD in a related discipline with a strong research record. Experience in advanced techniques for analyzing time-series data (e.g., signal processing and machine learning) is desirable, additional experience in computational neuroscience modeling and working with neurophysiology data is helpful . The labs are committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. The ideal start date is May 2018. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Georgia Tech's campus in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christopher.thomas(a)ece.gatech.edu with the subject line "Neuro DBS postdoc". Application review will proceed until the position is filled and should be received by February 19, 2018 for full consideration.

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Deadline extension for ICMNS 2018: February 4
by Etienne Tanre 23 Jan '18

23 Jan '18

Dear all, Under popular and friendly pressure, we have decided to extend the abstract submission deadline for ICMNS 2018 <http://icmns2018.inria.fr/>: Submissions <http://icmns2018.inria.fr/submission/> are opened until Sunday February 4, 23.59 (GMT + 1). We hope to see you in Juan les Pins in June 2018. All the best, Susanne Ditlevsen Bard Ermentrout Etienne Tanré > > ============ > FIRST CALL > ============ > > We are delighted to announce the 4th International Conference on Mathematical Neuroscience (ICMNS 2018), to be held at the Congress Center in Juan-les-Pins, on the French Riviera. > Tutorials will be held on June 10, and the main conference is June 11 - June 13. > More details are given on the conference website: > > https://icmns2018.inria.fr <https://icmns2018.inria.fr/> > > The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. > A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. > To fulfill this goal, we will hold a tutorial the day before the main meeting. > The main conference will feature a broader set of topics in mathematical neuroscience, with a focus on > (a) the use of experimental data in modeling studies; > (b) theory and models that explore hypotheses and design better experiments; > (c) rigorous mathematical models of neural systems; > (d) improved methods for analyzing complex data sets. > > Abstract Submission: > We encourage abstract submission by researchers from all areas of mathematical neuroscience. > One page abstracts will be reviewed by the Program Committee and divided into parallel talk sessions and poster sessions. > > Details will be given on the web site <https://icmns2018.inria.fr/>. > > The abstract submission <http://icmns2018.inria.fr/submission/> deadline is January 23, 2018. > > Student Awards: > We offer student awards. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair <https://easychair.org/conferences/?conf=icmns2018>. > > Program Committee > Daniele Avitabile (Univ. of Nottingham, UK) > Nicolas Brunel (Duke Univ., USA) > Carina Curto (Pennsylvania State Univ., USA) > Rodica Curtu (Univ. of Iowa, USA) > Mathieu Desroches (Inria Sophia-Antipolis, France) > Lubomir Kostal (Inst. of Physiology, Czech Republic) > Carlo Laing (Massey Univ., New Zealand) > Benjamin Lindner (Bernstein C. for Comp. Neuroscience Berlin, Germany) > Eva Löcherbach (Univ. Cergy-Pontoise, France) > André Longtin (Univ. Ottawa, Canada) > Jeff Moehlis (Univ. California Santa Barbara, USA) > Hiroya Nakao (Tokyo Instit. of Technology, Japan) > Patricia Reynaud Bouret (Univ Nice, France) > Horacio G. Rotstein (Rutgers Univ. / New Jersey Inst. of Technology, USA) > Alex Roxin (CRM Barcelona, Spain) > Laura Sacerdote (Univ. of Torino, Italia) > Delphine Salort (Univ Pierre et Marie Curie, France) > Shigeru Shinomoto (Kyoto Univ., Japan) > Wilhelm Stannat (TU Berlin, Germany) > Denis Talay (Inria Sophia-Antipolis, France) > Michèle Thieullen (Univ Pierre et Marie Curie, France) > Martin Wechselberger (Univ Sydney, Australia) > Advisory Board > Paul Bressloff (Univ. of Utah, USA) > Evelyn Buckwar (JKU Linz, Austria) > Stephen Coombes (Univ. of Nottingham, UK) > Olivier Faugeras (Inria Sophia Antipolis, France) > Julijana Gjiorgjieva (Max Planck Institute for Brain Research, Germany) > Zachary Kilpatrick (Univ. of Houston, USA) > Robert Rosenbaum (Univ. of Notre Dame, USA) > Romain Veltz (Inria Sophia Antipolis, France) > > We hope to see you in Juan les Pins this June! > > All the best, > > Susanne Ditlevsen > Bard Ermentrout > Etienne Tanré >

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Register for ENCODS 2018 - European Neuroscience Conference by Doctoral Students - Deadline January 31st
by Organizers ENCODS2018 23 Jan '18

23 Jan '18

We are pleased to invite you to: *ENCODS 2018* (European Neuroscience Conference by Doctoral Students) Berlin, Germany, 5-6 July 2018 We are a conference organised for and by doctoral students and a partner of FENS (Federation of European Neuroscience Societies). We aim to increase scientific exchange by bringing together young researchers, established scientists and visionaries. This new edition of ENCODS 2018 in Berlin, Germany, is designed to move beyond the sometimes rigid speaker-audience concept by including a wide range of original activities to create a dynamic environment for blossoming of ideas and networking among scientists. What? ENCODS – the European Neuroscience Conference by Doctoral Students When? 5th-6th July 2018, the days preceding the FENS Forum Where? Berlin, Germany Who? Doctoral students from every discipline within the field of neuroscience How? Register for ENCODS 2018 at http://www.fens.org/Training/ENCODS/ENCODS2018/Registration-Information/ Please note that registration is open until the *31st January 2018*. Registration fee waivers and travel grants are available, pending availability and application approval. Why? * Exciting talks: - Big neuroscience projects: Nancy Ip, Hong Kong University of Science and Technology - Novel methods in neuroscience: Thomas Knöpfel, Imperial College London - Science and industry: Sakyasingha Dasgupta, Ascent Robotics, Inc. Japan - The future of health: Elisabeth Binder, Max Planck Institute of Psychiatry, Munich * 16 selected student talks * Engaging workshops: - Open science, Bianca Kramer and Jeroen Bosman, Utrecht University Library, Netherlands - The publication process, Paul Bolam, University of Oxford, UK - Experimental design, Chris Hartgerink, Tilburg University, Netherlands - Presentation skills, Anna Elena Pepe, Phoebus coaching, UK * An afternoon of Unconference, a participant-driven space for open discussion * Science & Society session: Methods of an embodied mind (supported by the Schering Stiftung, Berlin) For more information and registration, visit: http://www.fens.org/Training/ENCODS/ENCODS2018/

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Postdoc position in Deep Learning and Animal Behavior modellig
by david robbe 23 Jan '18

23 Jan '18

Dear Colleagues, The Turing Centre for Living Systems in Marseille seeks applicants for a postdoc position in computational neuroscience/robotics under the joint supervision of David Robbe and Christophe Eloy. Project abstract – The goal of this project is to understand, at an algorithmic level, how animals learn to develop adaptative behavior by trial-and-error interaction with their environment. We propose an interdisciplinary approach combining behavioral experiments in rats and the development of an «artificial» agent facing challenges similar to those experienced by the rats. The experimental data (already available) show that rats challenged in a time estimation task converged progressively toward a conserved embodied strategy (Rueda-Orozco and Robbe, Nature Neuroscience, 2015). Key determinants of that strategy have been isolated experimentally, by altering task rules and environment and quantifying how these alterations affect animal performance. The core of the artificial agent will be a reinforcement-learning algorithm, which will be trained through virtual experiments simulating the time estimation task. A first objective will be to parametrize algorithms such that they solve this time estimation task and to compare artificial and natural (rat) strategies. The artificial double will eventually be complemented by a robot embodying the learning algorithm. Assessment of algorithmic predictions and possible biological implementation will be tested in new experiments in which the impact of alterations of key task parameters and brain activity on animals performance will be measured. This back and forth interaction between experiments and theory will provide us with new understandings of the mechanisms underlying adaptative motor learning. Expected profile – The main task of the project will be to develop reinforcement learning algorithms and therefore we expect the candidates to have a solid background in machine learning. Since one of the objective is to build simple robots, knowledge in robotics would be an asset. The successful applicant will work in close collaboration with experimentalists and robotic engineers. We are therefore looking for an enthusiastic applicant with excellent communication skills and a track record in interdisciplinary collaborative environments. Supervisors David Robbe - Inmed, UMR 1249 - The neural bases of sensorimotor learning <http://www.inmed.fr/en/en-avenir-dynamiques-neuronales-et-fonctions-des-gan…> Christophe Eloy - IRPHE, UMR 7342 - Biomechanics, aerodynamics, soft matter and biophysics <https://www.irphe.fr/%7Eeloy/> Deadline for application: 28th February Information and submission: http://centuri-livingsystems.org/recruitment-pd2018-10/ -- David Robbe, PhD Neuronal dynamics and functions of the basal ganglia Institut de Neurobiologie de la Méditerranée (INMED) INSERM-UMR901 163, avenue de Luminy. BP13 13273 Marseille Cedex 9 France http://www.inmed.fr/avenir-dynamiques-neuronales-et-fonctions-des-ganglions… Tel: +33 4 91 82 81 99 Fax: +33 4 91 82 81 05 "It is disturbingly common for studies to include behavior as simply a hasty add-on in papers that are otherwise crammed full of multiple techniques, types of results, and even species. It is as if every paper needs to be a methodological decathlon in order to be considered important." Krakauer et al., Neuron 2017

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PhD Position -- Neural Circuits, Space and Memory
by Andrea Burgalossi 21 Jan '18

21 Jan '18

The lab of Andrea Burgalossi at the Werner Reichardt Centre for Integrative Neuroscience (CIN) in Tübingen is looking for a PhD student in IN-VIVO ELECTROPHYSIOLOGY, SPATIAL NAVIGATION AND MEMORY (IN RODENTS) Our research focuses on the cellular basis of spatial coding in the cortico-hippocampal circuit. We employ state-of-the-art electrophysiology techniques for monitoring the activity of identified neurons in freely-behaving rodents (rats and mice). Possible projects involve the use of juxtacellular and/or extracellular recordings -in combination with optogenetics and viral-tracing methods- for recording and manipulating anatomically-defined cell types while mice perform memory tasks in ‘virtual’ or ‘real’ environments. The projects are aimed at dissecting the contribution of distinct cell types to the neural representation of space, to spatial navigation and memory functions. The candidate is required to have a strong quantitative/computational background (e.g. mathematics, physics, engineering, computer science, etc…) and excellent programming skills in MATLAB. Previous experience in electrophysiology (especially tetrode recordings) and the analysis of neural data are desirable, but not essential. Applications contaning CV and names of at least two referees should be addressed to Andrea Burgalossi (ANDREA.BURGALOSSI(a)CIN.UNI-TUEBINGEN.DE). Projects are related to these recent publications: Tang, Brecht and Burgalossi, /Nature Protocols/ (2014) 9:2369-81 Diamantaki et al., /Current Biology/ (2016) 26:536-41 Preston-Ferrer et al. /eLife/ (2016) pii: e14592 Diamantaki et al., /eLife/ (2016) pii: e20252 -- Andrea Burgalossi, PhD Cellular and Synaptic Basis of Behaviour Werner Reichardt Centre for Integrative Neuroscience (CIN) Otfried-Müller-Straße 25 72076 Tübingen Tel: +49-(0)7071-29-88797 Fax: +49-(0)7071-29-25006 Lab web: www.burgalossilab.com CIN web: www.cin.uni-tuebingen.de

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