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2 year post-doc position, LMU Munich, (PI / B. Bahrami )

by Deroy, Ophelia

Applications are sought for a 2-year post-doctoral researcher, to be based at the Ludwig Maximilian University in Munich (Germany), working at the Faculty of Psychology with Dr.Bahador Bahrami Webpage : http://www.psy.lmu.de/exp/people/ma/bahrami/index.html The successful candidate will join a multi-disciplinary project involving Bahador Bahrami (UCL/LMU), Ophelia Deroy (LMU), Chris D. Frith (University of London) and Peter Latham (Gatsby Computational Neuroscience Unit, UCL) aiming to examine the cognitive and computational bases of collective decisions under uncertainty. Requirements: The successful candidate will have (i) a strong background in quantitative methods (computational neuroscience, statistics, physics, machine learning) (ii) interest in interdisciplinary projects (iii) a PhD in physics (eg complex systems), psychology (cognitive or social), behavioural economics or neuroscience (behavioural, systems). Knowledge of experimental design, statistics and data analysis is expected. Strong command of linear algebra, probability theory, computer programming (web- based platforms (e.g. Java) and/or Python, Matlab) is highly desirable. The position is for two years,with an intermediate evaluation for satisfactory performance. The appointment will be made within the German TV-L E 13 salary scheme. If interested, please contact bbahrami(a)gmail.com for preliminary inquiries. Full advert: http://www.philosophie.uni-muenchen.de/lehreinheiten/phil_of_mind/personen/…

Jan. 26, 2018

POSTDOC OFFER in Theoretical Neurosciences (FUNDED BY THE HBP : SP4 (theory))

by Romain Veltz

Dear all, We are offering a two-year postdoc position to work within the Inria MathNeuro team <https://team.inria.fr/mathneuro/> (Sophia Antipolis, France) on Mean-field descriptions or thermodynamics limits of large populations of neurons. We are particularly interested to study multiple-time scale phenomena within this framework. The position is within the SP4 (Theory) of the HBP <https://www.humanbrainproject.eu/en/>. Candidates should have a background in mathematics or physics. Of particular to us are familiarity of the candidate with slow-fast dynamical systems, singular perturbation theory, bifurcation theory, probability theory, and a strong interest in applying these theories to neuroscience. Ability and willingness to do programming will also be a strong point to select candidates. They will be expected to interact with other participants of SP4 as well as with some participants of SP3. Interested candidates should send a CV and a short research proposal regarding the proposed topic (maximum one page) to one of the following address: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr>, olivier.faugeras(a)inria.fr <mailto:olivier.faugeras@inria.fr>, romain.veltz(a)inria.fr <mailto:romain.veltz@inria.fr> Deadline for applying: 28 February 2018. Expected start date: 1st June 2018. Best regards Romain Veltz MathNeuro Project Team Inria Sophia Antipolis Méditerranée 2004 Route des Lucioles-BP 93 FR-06902 Sophia Antipolis Tel: +33 4 92 38 76 90 http://romainveltz.pythonanywhere.com/

Jan. 26, 2018

Special issue "An ecological perspective on decision-making"

by Davidson, Jacob

Hi Everyone, I want to let you know about a special issue I am co-editing, in the journal Frontiers in Ecology and Evolution: An Ecological Perspective on Decision-Making: Empirical and Theoretical Studies in Natural and Natural-Like Environments<https://www.frontiersin.org/research-topics/7283/an-ecological-perspective-…> Abstract submission deadline: 31 May 2018 Feel free to email me if you have questions and/or think about submitting something. Call for papers This Research Topic aims to connect quantitative behavioral analysis, individual cognition and decision-making, and neural-inspired models, with ecologically-relevant behavior such as foraging, nest and mate choice, predator avoidance, social interactions, and migration. Behavior is influenced by many factors in a dynamic environment. In contrast, laboratory tasks are often designed to eliminate parameters that could influence behavior, to generate data that fit existing models. Challenges in observing and quantifying behavior in natural situations have made it difficult to develop associated theoretical models, and to relate decision mechanisms to ecological and evolutionary mechanisms. However, recent advances in data acquisition technology, computer vision, behavioral modeling, and machine learning are changing this, by facilitating the collection and efficient processing of large amounts of data to extract relevant behavior and environmental details. New theoretical tools and methods are needed to analyze and model such data and to understand animal behavior in complex, ecologically relevant settings. This topic invites submissions that use theory and experiment to investigate behavioral choices relevant to an animal’s natural environment, and to link levels of organization of behavioral processes, from the neurobiological to individual to group and system-level. To understand how natural selection has shaped animal behavior and decision-making, it is crucial to link behavior in ecologically-relevant tasks with both the underlying neurobiological mechanisms, and the environmental context. Decision making has been a major focus in the systems and cognitive neuroscience community because it bridges sensory, motor, and executive functions. Important advances have been made in understanding the neurobiological underpinnings of decision-making, using neuronal recordings of animals as they engage in laboratory tasks such as the two-alternative forced choice task, and stochastic modeling of the decision processes. However, the day-to-day decisions made by an animal can be quite different from those made in idealized lab conditions. Choices are often made sequentially ("stay-or-go") instead of between simultaneous alternatives. Behavioral responses tend to be specific to a particular environmental context. Because the outcome of behavior influences an animal's survival and reproduction, evolution shapes behavior to perform in an animal's natural environment. Thus many decision strategies can only be understood in a particular ecological context. For example, context- or state-dependent decisions may be an appropriate strategy in a changing and uncertain environment, but are sub-optimal in a static context. Moreover, since decisions are constrained by an individual's underlying neurobiological circuitry and cognitive abilities, some decision-making mechanisms are the result of evolutionary history, conserved across different species. This interdisciplinary Research Topic aims to connect theorists and experimentalists studying decision-making in ecologically-relevant contexts. This work spans the fields of ecology, neuroscience, psychology, animal behavior, behavioral economics, computer science, mathematics and physics. Topics include, but are not limited to, foraging, habitat and mate choice, social relationships, perception-based decision modeling, quantitative behavioral analysis, and evolutionary studies. Both theoretical and experimental studies are welcome, and studies that combine both are especially encouraged. Cheers, Jacob -- Dr. Jacob Davidson Postdoctoral researcher Department Collective Behaviour Max Planck Institute for Ornithology jdavidson(a)orn.mpg.de<mailto:jdavidson@orn.mpg.de>

Jan. 26, 2018

Master in Brain and Cognition, Barcelona, Spain

by Ruben Moreno Bote

Dear Comp-neuro members, The Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona, Spain (http://www.upf.edu/mbc/) opens the rolling application period (final deadline is June 2018). The core of the master's programme is composed of the research groups at UPF's Center for Brain and Cognition (http://cbc.upf.edu) In this email, we emphasize the possibility of participation of outstanding candidates with strong quantitative background, such as physics, mathematics or machine learning eager to learn about computational and cognitive neuroscience. Candidates with these backgrounds could perform research activity with the following experts in computational neuroscience: Gustavo Deco (http://cns.upf.edu/) Albert Compte (http://complab.fcrb.es/complab/pres) Rubén Moreno-Bote (https://portal.upf.edu/web/ruben-moreno-bote) Overall, the groups participating at the Master are directed by renowned scientists in areas such as computational neuroscience, cognitive neuroscience, psycholinguistics, vision, multisensory perception, human development and comparative cognition http://cbc.upf.edu/node/498 Students will be exposed to the ongoing research projects at the Center for Brain and Cognition and will be integrated in one of its main research lines, where they will conduct original research for their final project. Please visit the Master’s web page or contact masters.dtic(a)upf.edu for further information. Scientific-related questions such as fit of quantitative backgrounds can be consulted to Rubén Moreno-Bote, ruben.moreno(a)upf.edu Best, Rubén -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella, Building 24, office 331 Ramon Trias Fargas, 24-27 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

Jan. 25, 2018

Scientist I/II in modeling visual behavior in mice at Allen Institute

by Stefan Mihalas

We are seeking to fill a position at the level of Scientist to work on computational and neuronal models of visually guided behavior. We use mouse vision as a model system. The Allen Institute for Brain Science is engaged in a major effort to quantitatively characterize the choices, states and neuronal activity during a set of visually guided behaviors. This position will focus on constructing simple models of behavior and neuronal activity, focused on understanding the computations implemented by the visual circuits. In addition, this position will also participate in team efforts of data analysis of both the behavioral and neuronal measurements. ESSENTIAL DUTIES AND RESPONSIBILITIES * Construct models of computations during a visually guided behavior. * Analyze how activities in the simulated networks related to the observed ones. * Participate in team efforts to analyze behavioral data. * Interact with groups performing simulations at other levels of resolution and with experimental groups. * Maintain clear and accurate communication with supervisor and team members. * Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * Strong background in scientific computing is required. * Strong publication record. * Strong background in scientific computing is required. * Experience in computational neuroscience is preferred. SCIENTIST I: 0-2 years postdoctoral experience in computational science SCIENTIST II: 3+ years postdoctoral experience in computational science PREFERRED QUALIFICATIONS: * Ability to meet aggressive timelines and deliverables in a collaborative environment. * Proven independent thinking and flexibility. * Strong written and verbal communication skills * Experience in pursuing research projects in collaborative fashion. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. Stefan Mihalas Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org<http://www.alleninstitute.org/> Affiliate Assistant Professor Department of Applied Mathematics University of Washington Shawn Olsen Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org<http://www.alleninstitute.org/> Affiliate Assistant Professor Physiology and Biophysics University of Washington

Jan. 25, 2018

BGSMath Postdoctoral position on Dynamical Systems/Mathematical Neuroscience

by Toni Guillamon

The Barcelona Graduate School of Mathematics has opened a call forone *“Banco de Santander – María de Maetzu” postdoctoral position* to work on *Dynamical Systems*. In particular, applications within *Mathematical Neuroscience* are very welcome. If the application is successful, the applicant will be hosted by the group on Mathematical Neuroscience at the Universitat Politècnica de Catalunya (UPC), see https://mat-web.upc.edu/people/antoni.guillamon/Team/MathNeuroAtUPC.html. All the information about this position can be found at https://bgsmath.cat/event/bgsmath-banco-de-santander-postdoctoral-call-2017/ (see also an excerpt below). Please note that the deadline is *January 31st*. Interested applicants, please contact Toni Guillamon at antoni.guillamon(a)upc.edu. Best wishes, Toni Guillamon ***************************************************** Description Duration: Two-year position (full-time; 37.5 hour working week). Expected starting date is 1 September 2018. Gross salary: 26,250 euros/year. Research funds: Up to 2,000 euros/year. Medical insurance: Medical coverage for fellow and family through Spanish public health system. Requirements * PhD obtained between 1 January 2013 and 31 December 2015. The official date of the degree is considered to be the defense and approval date of the PhD thesis. * In the case of applicants with disabilities, the PhD degree could have been obtained between 1 January 2010 and 31 December 2015. * Career breaks will be taken into account to extend the lower date limit for obtaining the PhD degree. The career breaks can be due to family care or sick leave. These breaks should have taken place between 1 January 2012 and 17 January 2018 (as stated in article 74.3.b of BOE of 7 December 2017). * A minimum of 1 year of research work experience as PhD or postdoc outside BGSMath.

Jan. 24, 2018

Reminder: Upcoming Gordon Research Conference on Neuroelectronic Interfaces

by Ulrich G. Hofmann

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

Jan. 24, 2018

Okinawa/OIST Computational Neuroscience Course 2018: submission deadline next week

by Erik De Schutter

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)

Jan. 24, 2018

PhD position for classification of affective states using EEG and eye tracking in the context of a training task.

by Yannick Roy

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

Jan. 24, 2018

COSYNE 2018: Registration, Hotels, Cosyne tutorial session

by Tomas Hromadka

==================================================== 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.

Jan. 23, 2018

Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience

by Jan Drugowitsch

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/

Jan. 23, 2018

postdoc in depression DBS at Georgia Tech

by Christopher Rozell

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.

Jan. 23, 2018

Deadline extension for ICMNS 2018: February 4

by Etienne Tanre

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 >

Jan. 23, 2018

Register for ENCODS 2018 - European Neuroscience Conference by Doctoral Students - Deadline January 31st

by Organizers ENCODS2018

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/

Jan. 23, 2018

Postdoc position in Deep Learning and Animal Behavior modellig

by david robbe

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

Jan. 23, 2018

PhD Position -- Neural Circuits, Space and Memory

by Andrea Burgalossi

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

Jan. 21, 2018

Postdoctoral Position: Neural Data Analyses

by Fellous, Jean-Marc - (fellous)

The Computational and Experimental Neuroscience Laboratory (CENL, University of Arizona, Tucson) is looking for a postdoctoral fellow in Neural Data Analyses. The candidate will have access to a large database of rodent electrophysiological data (LFP, tetrodes) pertaining to 1) sleep and memory consolidation, and 2) spatial navigation in complex environments. The ideal candidate should have a strong quantitative and programming background (Matlab) and be a creative thinker able to produce new and original data visualizations and analyses. The candidate will be able to participate in experiments if desired. The project is multi-disciplinary and involves collaborations with the Univ. of South Florida, the Univ. California San Diego, The Salk Institute and Harvard Univ. Good communication skills are required. Applicant should send a cover letter (email is ok), a CV and the names/contact information of at least 2 references to Dr. Jean-Marc Fellous (fellous at email.arizona.edu) The search is ongoing and is projected to be completed by March 30th, 2018. Applications will be processed in the order they are received. More 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.

Jan. 21, 2018

Job Posting: Application Scientist at MaxWell Biosystems

by Frey Urs

Dear Colleagues, MaxWell Biosystems is seeking a permanent, full-time e-phys and MEA expert as an Application Scientist. MaxWell Biosystems is a spin-off company of ETH Zurich, Switzerland, commercializing high-resolution microelectrode array technology. Our platform helps customers in pharmaceutical industry, biotech and neuroscience to make their drug discovery and research more efficient. Place of work is Basel, Switzerland. Send your cover letter and CV to hr(a)mxwbio.com<mailto:hr@mxwbio.com> Job description Be it in pharmaceutical industry, contract research organizations or academia, all our existing and prospective customers have a scientific background. To support them and to develop novel assays using microelectrode array (MEA) technology, we are seeking a highly motivated neuroscientist and MEA expert. Your Responsibilities * Support our customers solve their research problems using our high-resolution MEAs * Actively identify, approach and communicate with prospective customers * Conduct demos and installations worldwide * Represent MaxWell Biosystems at scientific conferences, trade shows and collaborative meetings worldwide * Develop novel assays and applications using our high-resolution MEAs * Produce scientific marketing material for our website, blogs, application notes, etc. * Co-write scientific grant applications * Consolidate the market requirements and provide input to product development * Since we are a very young startup, we expect active participation in all sales and support related aspects * Work in a multidisciplinary environment Your Profile * PhD degree in neuroscience, biology, neuroengineering or related fields * Expert in electrophysiology and working experience with MEAs * Good programming skills Matlab and Python * Proven scientific track record in relevant fields * Ability and willingness to travel regularly and worldwide * Experience in spike sorting is a plus * Knowledgeable in induced-pluripotent-stem-cell technology is a plus * Fluent English language skills, other languages are a plus Are you motivated, innovative and committed to delivering first-rate performance? Have you ever wanted to work with cutting-edge technology involving both engineering and biology? Do you enjoy working in an international, multidisciplinary, and interactive team? Then we might have a position for you. Join MaxWell Biosystems in innovating the future of electrophysiology for drug discovery and basic research. We are looking forward to receiving your application documents (cover letter, resume, letter of recommendation and degrees including transcripts) by email at hr(a)mxwbio.com<mailto:hr@mxwbio.com>. -- Dr. Urs Frey | MaxWell Biosystems AG | Mattenstrasse 26 | CH-4058 Basel | Switzerland | www.mxwbio.com<http://www.mxwbio.com>

Jan. 21, 2018

Senior Research Associate – University of Bristol, UK

by Jeffrey Bowers

Senior Research Associate – University of Bristol, UK. This five year ERC-funded project entitled “Generalisation in Mind and Machine” explores how well neural networks support human-like generalisation across a range of tasks. Over the course of the grant there will be four post-doctoral fellows involved in modelling, one research assistant involved in empirical work, and two PhD students. This is one of three modelling posts that runs for three years. I am looking to hire someone with a PhD in computer science or cognitive psychology (or related field) who has experience working with neural networks. In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalisation in the domains of object identification, word identification, short-term memory, and games, amongst other areas. This research is related to my previous and ongoing research that explores why and when artificial neural networks learn localist "grandmother cell" representations with the goal to better understand why some neurons respond to high-level information in a highly selective manner. You can find more information about my research and download papers at: https://jeffbowers.blogs.ilrt.org/research/ This post is available from 1st May 2018 (but somewhat flexible about start date) and the closing date for applications is Thursday 15th March 2018. For informal enquiries please contact Professor Jeffrey Bowers - J.Bowers at bristol.ac.uk<https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists><mailto:J.Bowers at bristol.ac.uk<https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists>>. For more information and to apply, please visit: http://www.jobs.ac.uk/job/BHB793/erc-senior-research-associate

Jan. 21, 2018

CFP- Special issue on Robots and Smart Environments

by Amir Aly

*Cognitive Systems Research (CSR) Journal* CALL FOR PAPERS **Apologies for cross posting ** We are happy to call for papers for the journal special issue: "*Social Cognitive Systems in Smart Environments: Approaches for Learning, Reasoning, and Adaptation*" *Webpage: **https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/special-issue-social-cognitive-systems-in-smart-environment <https://www.journals.elsevier.com/cognitive-systems-research/call-for-paper…> * <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope * A “smart” environment incorporates intelligent systems (e.g., smart home, smart factory, smart city, smart car etc.) employing heterogeneous devices, such as: sensors, actuators, cameras, networks, and screens. Within such a smart environment, autonomous agents can take on an important mediating role between human users and the environment. This is particularly true if high-level cognitive functions and computational intelligence are employed to handle the uncertainty of the complex environment so as to allow agents to act appropriately within different contexts of interaction. Using robotic systems in smart environments opens the door to several socio-cognitive applications, such as: reducing cognitive load for individuals interacting with a smart environment, assisting the elderly and people with cognitive disabilities in mobility and daily tasks (which requires robots to learn the multimodal characteristics of human behavior and to spatially perceive the environment containing other smart objects to decide the best way to employ/manipulate them in order to successfully perform tasks), and developing a cloud-connected robot system to incrementally share knowledge between robots in different smart environments about the behavioral characteristics of human users in order to interact with them adaptively. To meet the requirements of these target applications, robots need to be able to learn how to use the capabilities of their smart environments to better address the needs of the human users. Industrial applications of such technologies include factories of the future and the digital eco-system within an autonomous car. This special issue aims to shed light on cutting edge lines of interdisciplinary research in cognitive science, artificial intelligence, and robotics covering basic research and applications. Recent advances and possible future research avenues on smart robots and environments would be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Cyber-physical systems in smart environments - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Internet of things - Ambient assisted living - Infotainment in smart vehicles - Natural user interface design - Cloud robotics - Ubiquitous computing *III. Submission* Submissions to the special issue must include original research that has not been published nor submitted to other journals. Authors should prepare their manuscript according to the "Guide for Authors" available at the journal homepage: http://www.journals.elsevier.com/cognitive-systems- research/. Papers should be submitted through the EVISE system: https://www.evise.com/evise/jrnl/cogsys. Authors should select "*VSI:Smart Environments"* as the article type during the submission process. *IV. Timline (Submission portal will be open on March 1, 2018)* - Deadline for paper submission: April 30, 2018 - First notification for authors: July 31, 2018 - Deadline for revised papers submission: September 30, 2018 - Final notification for authors: November 30, 2018 - Deadline for submission of camera-ready manuscripts: January 15, 2019 *V. Guest editors* Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly(a)em.ci.ritsumei.ac.jp) Dr. Shashank Pathak,Visteon Corporation, Germany ( shashank.pathak(a)visteon.com) Dr. Sean Andrist, Microsoft Research, USA (sandrist(a)microsoft.com) Prof. Armando Tacchella, University of Genoa, Italy ( armando.tacchella(a)unige.it) -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

Jan. 20, 2018

Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

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/ : Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli Aurel A. Lazar, Nikul H. Ukani and Yiyin Zhou https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Robust Exponential Memory in Hopfield Networks Christopher J. Hillar and Ngoc M. Tran https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… A Rate-Reduced Neuron Model for Complex Spiking Behavior Koen Dijkstra, Yuri A. Kuznetsov, Michel J. A. M. van Putten and Stephan A. van Gils https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… The Dynamics of Neural Fields on Bounded Domains: An Interface Approach for Dirichlet Boundary Conditions Aytül Gökçe, Daniele Avitabile and Stephen Coombes https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Fundamental Limits of Forced Asynchronous Spiking with Integrate and Fire Dynamics Anirban Nandi, Heinz Schättler, Jason T. Ritt and ShiNung Ching 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.

Jan. 20, 2018

University of Sussex PhD programme: 'From Sensation and Perception to Awareness'

by Miguel Maravall

Dear comp-neuro colleagues, We are inviting applications for studentships in an exciting new PhD programme at the University of Sussex, 'From Sensation and Perception to Awareness', for entry in September 2018. Could you please kindly distribute to potentially interested students? Thank you Best wishes Miguel Maravall The University of Sussex has been awarded a Leverhulme Trust grant to create a new Doctoral Scholarship Programme entitled 'From Sensation and Perception to Awareness'. This brings together researchers and doctoral students from across neuroscience, robotics, psychology and the arts. The ultimate aim of this research programme is to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. Our doctoral scholars will be immersed in an inter-disciplinary training environment including monthly seminars and an annual student-led conference on a topic related to the theme. A strong emphasis is placed on developing technical skills, and we will provide specialist training in areas such as programming and use of virtual and augmented reality. As part of this programme, Sussex will be providing fully-funded studentships for three cohorts of seven students. The first of these cohorts will start studying at Sussex in September 2018. Individual research projects are listed on the webpage linked below. Each successful applicant will receive a tax free stipend at Research Council rates (currently £14553 per annum), a Home/EU fee waiver and generous research and training costs. On completion of their PhD, our programme alumni will be eligible to apply for one of several 12 month postdoctoral research fellowships at Sussex, available only to completing Leverhulme DSP scholars. Application deadline is March 5th 2018. For further information, a listing of research projects and application instructions, please visit: http://www.sussex.ac.uk/internal/doctoralschool/funding/sussexleverhulme

Jan. 19, 2018

PhD Studentship in Computational and Systems Neuroscience (Final Deadline March 5th)

by Christopher Buckley

Just a reminder that the final deadline for PhD studentships on our project is 5th March http://www.sussex.ac.uk/study/phd/fees-and-scholarships/scholarships/view/7… The role would involve computational modelling, dynamical systems analysis and control theory so we particularly encourage candidates with a computational, physics, maths or engineering background interested in getting involved in cutting edge experimental neuroscience to apply. PhD Studentship: Distributed neural processing of self-generated visual input in a vertebrate brain. A PhD studentship in Computational and Systems Neuroscience is available in the groups of Dr Christopher L Buckley (Department of Informatics) and Prof. Leon Lagnado (School of Life Sciences) at the University of Sussex. During movement, sensory input and motor output are bound in a closed-loop: motor actions shape sensory input and sensory inputs inform future motor commands. We will characterise the neural circuits involved in the interactions between the sensory and motor systems using light-sheet microscopy to image neural activity across the brain of live zebrafish in a virtual reality environment (Nature. 2013;493: 466–468). The project will involve computational modeling and “big-data” analysis as well as experiments. Appropriate backgrounds therefore include physical and computational science as well as neuroscience. Experience with programming and a quantitative approach are essential. More information about the project is available at https://tinyurl.com/kjtxoq9. Informal enquiries can be made to Chris Buckley<http://www.christopherlbuckley.com/> (c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk>) or Leon Lagnado<http://www.sussex.ac.uk/lifesci/lagnadolab/> (l.lagnado(a)sussex.ac.uk<mailto:l.lagnado@sussex.ac.uk>). Sussex Neuroscience<http://www.sussex.ac.uk/sussexneuroscience> is one of the foremost centers for Neuroscience research in the UK and the University of Sussex has a beautiful campus on the outskirts of the lively South Coast town of Brighton. Application: Please apply through the post-graduate application system of the University of Sussex (http://www.sussex.ac.uk/study/apply) Please include a brief statement of your scientific interests and skills/experience in the mandatory “research proposal”, including how you would imagine your role in the project (max 2 pages) and include a full CV. Indicate Dr Christopher L Buckley as your preferred advisor and clearly state the title of the studentship. When you apply, please send a copy of your application documents to c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk> and l.lagnado(a)sussex.ac.uk<mailto:l.lagnado@sussex.ac.uk>. Funding Notes The studentship includes a three year stipend at a standard rate (currently £14,296 per annum) and, in addition, fees at the UK/EU rate. Since the studentship only covers fees at the UK/EU rate, overseas applicants are kindly requested to state in their application how they propose to cover the difference between UK/EU and overseas fees. Deadline 5th March 2018 Christopher L Buckley Lecturer in Neural Computation University of Sussex Department of Informatics Sussex Neuroscience Falmer Brighton, UK email: c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk> twitter: @drclbuckley

Jan. 19, 2018

ICNR2018 - FIRST ANNOUNCEMENT & CALL FOR PAPERS, SPECIAL SESSIONS and WORKSHOPS

by Alberto Mazzoni

--------------------------------------------------------------------------------------------- We apologize if you receive multiple copies of this announcement --------------------------------------------------------------------------------------------- The International Conference on NeuroRehabilitation (ICNR2018) Pisa, Italy October 16-20 http://www.icnr2018.org <https://mail.sssup.it/Redirect/D03C6F58/www.icnr2018.org/>info(a)icnr2018.org On behalf of all the organizers, it is our pleasure to invite you to the genuine International Conference on NeuroRehabilitation (ICNR2018) that will take place in Pisa (Italy) in October 16-20, 2018. Please, visit the website at http://www.icnr2018.org <https://mail.sssup.it/Redirect/D03C6F58/www.icnr2018.org/>. The 2018 International Conference on Neurorehabilitation will bring together researchers and students from the fields of Motor Control, Neurtotechnologies, Clinical Rehabilitation, Applied Neurophysiology, Biomedical Engineering and Neuromechanics to promote, feed and encourage a technology-based therapeutic global shift. On this occasion, ICNR2018 will be held in parallel at the same venue with The International Symposium on Wearable Robotics (WeRob2018). Please, visit the website at http://www.werob2018.org <https://mail.sssup.it/Redirect/D03C6F58/www.werob2018.org/>. We are looking forward to welcoming you in Pisa on October 2018! --------------------------------------------------------------------------------------------------------- *- Call for Special sessions-* ICNR2018 seeks to provide focused discussions on new topics and innovative applications of established approaches during the conference. Therefore, the organization of Special Sessions is encouraged. March 15 is the final deadline for Special Session Proposals submission. *- Call for Workshops-* ICNR2018 seeks to provide an extensive program of workshops to be held prior the conference. Proposals that address topics related to the conference theme are welcome. We invite proposals for half-day or full-day workshops. March 15 is the final deadline for Workshop Proposals submission. *- Submission of contributions-* Extended abstract (2 pages) contributions are welcome. April 15 is the final deadline for extended abstracts. All contributions will be peer reviewed. Accepted contributions will appear in Conference Proceedings. After a selection process, accepted articles will be announced to authors on June 15, 2018. *- Important Deadlines -* Special session proposal submission deadline: March 15, 2018 Workshops proposal submission deadline: March 15, 2018 Contributions submission deadline: April 15, 2018 Notification to authors: June 15, 2018 Authors registration deadline: July 1, 2018 Final version submission: July 15, 2018 Early registration: July 1, 2018 *- Registration Fees -* Early student (until July 1): 300€ Early regular (until July 1): 550€ Early Single day student (until July 1, 2018): 200€ Early Single day regular (until July 1, 2018): 300€ Student: 450€ Regular: 750€ Single day student: 300€ Single day regular: 450€ *- Confirmed Plenary speakers -* Michael Goldfard (Vanderbilt University) Maria Chiara Carrozza (SSSA) Katja Mombaur (Heidelberg University) Herman van der Kooij (University of Twente) (tentative) Oskar Aszmann (Medical University of Vienna) (tentative) Hugh Herr (MIT) (tentative) Mitsuo KAWATO (ATR) *- Logistics -* ICNR obtained special rates for accommodation with hotels nearby the conference venue. During the conference, transportation services will be facilitated between these hotels and the venue. For updated information on accommodation, trasportation and conference venue please visit our website frequently. --------------------------------------------------------------------------------------------- For further and up-to-date information, please visit the conference website: http://www.icnr2018.org <https://mail.sssup.it/Redirect/D03C6F58/www.icnr2018.org/> Prof. José L. Pons & Prof. Silvestro Micera Co-Chairs ICNR2018 http://www.ICNR2018.org <https://mail.sssup.it/Redirect/D03C6F58/www.icnr2018.org/>

Jan. 18, 2018

Cortical Codes at the EITN Paris on February 5 & 6 - registration opened

by EITN

Announcement : Workshop Cortical codes Organized by Sacha van Albada and the EITN on February 5th and 6th, at the EITN Paris. Programme and registration: https://eitnconf-050218.sciencesconf.org/ The cerebral cortex plays a key role in high-level brain functions including sensory processing, memory, attention, planning, and the internal modeling of the external world. To make sense of the wealth of experimental data available on cortical anatomy and physiology, and the relation of its activity to behavior, theoretical approaches are essential. A variety of tools are used for this purpose: bottom-up modeling starting from biological knowledge, top-down including normative approaches, investigations of the coding properties at the single-neuron and neuronal population levels, analytical work and simulations, and comparisons between healthy and disease conditions. This workshop brings together a cross-section of these theoretical approaches toward unraveling the mechanisms used by the cerebral cortex for achieving its functionality, with the goal of facilitating mutual fertilization between the various approaches. **/The registration is free however mandatory due to a limited number of seats./** Speakers:**/ /** Claudia Clopath, Cold Spring Harbor, USA Sophie Denève, ENS Paris, France Maria Sanchez-Vives, IDIBAPS Barcelona, Spain Yulia Sandamirskaya, University and ETH, Zurich, Switzerland Tatyana Sharpee, Salk Institute, La Jolla, USA (via video conference) Hamutal Slovin, Bar Ilan University, Tel Aviv, Israel Alexa Riehle, AMU, France Angela Yu, University of California San Diego, USA (via video conference) Fleur Zeldenrust, Radboud University, The Netherlands Looking forward to seeing you there ! -- The EITN Team Phone : +33 (0)1 69 82 34 39 http://www.eitn.org follow us on Twitter: @EITN_Paris

Jan. 18, 2018