- Comp-neuro - lists.cnsorg.org

Multiple open-rank tenure-track positions open at the AI Institute of Stony Brook University
by Memming Park Oct. 11, 2018

Oct. 11, 2018

The departments of computer science and biomedical informatics at the Stony Brook University are recruiting tenure track faculties. Stony Brook University is located on Long island, east of New York city. The senior-level position come with the title of Empire Innovation Professor, and enhanced salary and research support. Exceptionally qualified senior and junior candidates in *all areas of Artificial Intelligence* are invited to apply, particularly in the following areas but not limited to: *Machine learning, computer vision, natural language processing or data science*. See the following links for details: https://www.cs.stonybrook .edu/about-us/career/Multiple-Positions-all-levels-Empire-Innovation-Professor-AI-Institute- Stony-Brook-University Official Job Title: Assistant, Associate or Full Professor REF#: F-9924-18-08 *The position will be open until filled.* Sincerely, Memming Park -- Assistant Professor Department of Neurobiology and Behavior Stony Brook University http://catniplab.github.io/

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Faculty position in computational neuroscience at University of Illinois
by Sutton, Brad Oct. 10, 2018

Oct. 10, 2018

The Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC) seeks a full-time Bioengineering faculty member for a tenure-track or tenured position in the broad area of computational bioengineering: including computational neuroscience or other related areas. See: https://go.illinois.edu/BIOE_Fac_2018 for more information.

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Advanced Research Fellowships - Artificial Intelligence
by Peter Andras Oct. 10, 2018

Oct. 10, 2018

Industrial Strategy Advanced Research Fellowships Special area of interest: Artificial Intelligence and industrial / medical applications. Keele University Closes: 30th October 2018 Job Ref: KU00000892 Salary: Grade 8 £42,036-£50,132/Grade 9 £51,630-£59,828 Were Keele and were different. Founded over 60 years ago to meet the challenges of a rapidly changing world, our mission today is as relevant as it was then. A key part of our mission is the delivery of research with the highest impact. The University and its Science & Innovation Park play a critical economic anchor role across and beyond the Midlands area of the UK. In the last 2 years we have invested over £40 million in building our capacity to work collaboratively with business, industry and a wider set of partners. As part of our future plans for continued investment, we are now seeking to recruit two Industrial Strategy Advanced Research Fellows to the University. Applications are welcomed from individuals with a track record in any discipline, which aligns with the aims and objectives of the UK Governments Industrial Strategy and the UKRI Funding Councils delivering the strategy (e.g. artificial intelligence). We particularly welcome applications which will further build the Universitys reputation for internationally-excellent, world-leading and high impact research in one or more grand challenge areas within the Industrial Strategy. The fellowships are principally research focused positions until July 2021, after which role-holders will transition into substantive academic roles which will include both teaching and research responsibilities. Appointments will be considered at grade 8 (Lecturer scale) or grade 9 (Senior Lecturer scale). The level will be determined by the experience and track-record of individual candidates. Candidates will be expected to demonstrate an established or emerging track record of high quality collaborative research with business, industry and other non-academic partners across the UK, aligned to areas of existing research endeavour at Keele University. An ability to demonstrate a track-record and future desire to collaborate with a wide range of commercial partners, large and small, will be welcomed. Initial applications are invited with a deadline of 30 October 2018, with interviews taking place 3-7 December 2018. Applications will be selected against the person specification for the role, which will include consideration of how the proposed candidate will complement established and emerging areas of research in regard to our interdisciplinary research themes of: sustainable futures, social inclusion and global health. Applicants interested in applying for these jobs in the area of Artificial Intelligence and its industrial / medical applications may contact Professor Peter Andras (p.andras(a)keele.ac.uk <mailto:p.andras@keele.ac.uk> ) for further information about these jobs. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. For full post details please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 30th October 2018 Promoting Equality, Valuing Diversity. --- Professor Peter Andras Head of School School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Web: <http://www.scm.keele.ac.uk/staff/p_andras/> www.scm.keele.ac.uk/staff/p_andras/

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COSYNE 2019: Abstract submission is now open; Call for workshop proposals; Cosyne Mentoring Forum
by Tomas Hromadka Oct. 10, 2018

Oct. 10, 2018

==================================================== Computational and Systems Neuroscience 2019 (Cosyne) MAIN MEETING 28 February - 03 March 2019 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2019 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open Workshop proposal deadline: 31 October 2018 Cosyne registration opens: 11 November 2018 Abstract submission deadline: 15 November 2018 ---------------------------------------------------- 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. This year 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. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. COSYNE SPEAKERS Bruno Averbeck (NIMH) Gwyneth Card (Janelia) Kathleen Cullen (John Hopkins) Kenji Doya (OIST) Ken Harris (UCL) Sonja Hofer (Sainsbury Wellcome Centre) Yann LeCun (NYU) Edvard Moser (NTNU) Yiota Poirazi (IMBB-FORTH) Maneesh Sahani (Gatsby-UCL) Eric Shea-Brown (U Washington) Sara Solla (Northwestern) Karel Svoboda (Janelia) Ilana Witten (Princeton) ORGANIZING COMMITTEE General Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Program Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Workshop Chairs: Catherine Hartley (NYU) 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 ---------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ---------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (08.00-11.00a) and afternoon (04.30-07.30p) sessions. - Workshops will be held at Cascais, a coastal village ~34 km west of Lisbon. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Submission instructions for workshop proposals are available at Cosyne.org -> Workshops. Proposals should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). The first author on the list becomes the contact author for the proposal. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names, affiliations, and expected topics of talks of potential invitees, and a list of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - A brief summary of relevant prior experiences and publications of the organizers (about half a page total). - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. When preparing workshop proposals, the organizers are encouraged to: - address timeliness of workshop in the proposal: what new insights have been generated (new papers, data, techniques, whatever) over the past few years that make now the right time for discussing them and for presenting them to the wider community? - directly describe how speakers address the central topic, e.g. which are the big question(s), which speakers represent different viewpoints on the same question, which experimentalist addresses the theories addressed by which theoretician (and vice versa); - address controversies and bring together speakers from different “camps” in the same field, or from different fields that---according to the organizers---should talk more to each other for whatever reason; WORKSHOP COSTS Detailed registration costs, etc., will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2019 WORKSHOP CHAIRS Catherine Hartley (NYU) and Ralf Haefner (University of Rochester) email: workshops [at] cosyne.org ---------------------------------------------------- COSYNE MENTORING FORUM ---------------------------------------------------- Cosyne Mentoring Forum provides a platform for discussions among Cosyne participants, particularly for help with composing abstracts for the meeting and getting feedback before submission. The forum is intended to be a place to connect with other computational and systems neuroscientists. Forum members are encouraged to share advice on everything from writing a great Cosyne abstract to navigating a job search. See Cosyne.org -> Mailing lists for details on how to subscribe and post to the forum. ---------------------------------------------------- OTHER 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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PhD project in computational modeling of Alzheimer’s disease at MCEN/BCAM, Bilbao, Spain
by Maurizio De Pitta Oct. 9, 2018

Oct. 9, 2018

Fully-funded PhD project: Computational modeling and data mining of early markers of Alzheimer’s disease Lab / Host institution : Group of Mathematical, Computational and Experimental Neuroscience (MCEN) at the Basque Center of Applied Mathematics (BCAM) Location : Bilbao, The Basque Country, Spain Duration : 3 years. Stipend : 18k EUR/year + mobility allowance Starting date : immediate Scientific background : Alzheimer’s disease (AD) is a chronic, age-related neurodegenerative disorder characterized by cognitive decline, memory loss, personality changes, and withdrawal. The causes of AD remain poorly understood and no treatment is currently available to stop or reverse the progress of the disease nor to reduce the risk of developing it. The principal pathological hallmark of AD is the accumulation in the brain of senile plaques, primarily composed of the amyloid beta (Aβ) peptide, and tangles of filaments of hyperphosphorylated tau protein. However, population-based studies show that there is a continuum of AD type pathology in the aging population, with considerable overlap in the burdens of tangle and plaque pathology in demented vs. non-demented individuals. It is therefore difficult to establish thresholds of classical lesions for the prediction of dementia and additional factors are operative to determine whether a given burden of pathology is associated with cognitive impairment. There is therefore a need to explore non-standard pathological markers. Workplan : The candidate will deploy mathematical tools to simulate biophysical processes that could underpin deposition of amyloid beta plaques and tau filaments. Emphasis will be on emerging evidence on the interaction between neurons and glial cells, to identify potential mechanisms that promote local excitation of neuronal networks at the onset of AD, before cognitive impairment takes over, or when only mild cognitive deficits are diagnosed. The project is strongly interdisciplinary, as the candidate will pursue computational research in close collaboration with experimentalists to design realistic models inspired by experiments in cell cultures and brain slices from AD mouse models. At the same time she/he will be able to design experiments based on predictions from her/his models. Working environment : The candidate will be supervised by Dr. Maurizio De Pittà in all the aspects of the project. Dr. De Pittà is a leading expert on computational modeling of neuron-glia interactions, with an experience in computational neuroscience of 10+ years. Dr. De Pittà recently joined the MCEN group at BCAM as « Junior Leader » fellow with a start-up grant supported by la Caixa Banking Foundation. The MCEN group is a rapidly growing team led by Ikerbasque Professor Serafim Rodrigues, that was established in 2016 as part of the strategic research portfolio enacted by the Basque Country to foster interdisciplinary research in Neuroscience. The candidate will collaborate with Dr. Elena Alberdi and Prof. Carlos Matute at Achucarro, the Basque Center for Neuroscience in Bilbao, at the local campus of the University of the Basque Country (UPV/EHU). BCAM is one of the Severo Ochoa’s excellence centers for scientific research in Spain providing a fertile international environment for enriching scientific collaborations. Bilbao, as the capital of the Basque Country in Spain, is a vibrant, friendly city with one of the highest standards of life quality in Spain. Requirements : -- Master’s degree (or equivalent) in Physics, Mathematics, Engineering, or related fields -- Excellent English skills (oral and written) -- Programming skills in Matlab, Python and C/C++ -- High motivation for interdisciplinary research with strong interests for biological details with an analytic mindset -- Essential knowledge of neuroscience, cell biology and biochemistry is preferred but not required Additional notes : This is a cutting-edge project that ideally matches with outstanding and creative candidates, with a strong motivation for international collaborations, mobility, and independence. The candidate is supposed to work on the project full-time (i.e. part-time agreements are taken into consideration), and must be . To apply : Applicants should send a CV with letter of motivation (max 2 pages) to Dr. De Pittà at mdepitta(a)bcamath.org with headings : « PhD Candidacy ». Review of applicants is incumbent, and will continue until the position is filled. The earliest start date is November 2018. -- Maurizio De Pittà https://sites.google.com/site/mauriziodepitta/

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Tenure-Track Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France
by boris gutkin Oct. 7, 2018

Oct. 7, 2018

> Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France > > Department of Cognitive Studies at the Ecole Normale Superieure (Paris France) seeks candidates for a tenure-track junior professor in computational neuroscience. Candidates in cognitive computational neuroscience, machine learning approaches to neuroscience and statistical neuroscience are particularly encouraged to apply. Successful candidate will join the computational neuroscience core at the Laboratory for Cognitive and Computational Neuroscience (LNC2, https://lnc2.dec.ens.fr/fr) > > Candidates should show a strong track record of research in computational neuroscience as well as potential for scientific independence and achievement. Candidate will be expected to develop an independent research program during their pre-tenure period In addition to research candidates will spear-head the computational neuroscience track in the Master of Cognitive Sciences at ENS (Cogmaster,www.cogmaster.net/) provide teaching in computational neuroscience at the masters and upper undergraduate level as well as supervise masters and doctoral students. > > The position offers a 5-year tenure-track contract with an evaluation at the end of the 3rd year. Upon successful evaluaton, the candidate will proceed directly to a competition for a full professorship at ENS Paris. Support for national and international grant competitions will be provided. > > The candidate will join a lively cognitive neuroscience and computational neuroscience community. Notably the computational neuroscience core of the LNC includes research groups of Boris Gutkin, Srdjan Ostojic and Sophie Deneve and counts over 20 members in total. Computational approaches to human cognitive neuroscience and neuroeconomics are also represented by groups of Etienne Koechlin, Valentin Wyart and Stefano Palminteri. Ample interactions with experimental and computational groups in the Paris area are available and encouraged. LNC2-DEC-ENS is located in the heart of Paris in the Quartier Latin. > > > Candidates should send an application package by e-mail to the application email address below. The subject line should include the words COMPUTATIONAL NEUROSCIENCE ENS POSITION followed by the name of the applicant. > > APPLICATION ADDRESS: recruitment.jp-compneuro(a)ens.fr > > The application package should include: > > - a CV, including a list of publications; > > - contacts of 3 referees from whom recommendations letters can be requested; > > - ‪a statement outlining both teaching and research goals/experience (up to 3 pages); > > - a research sample consisting of 3 papers. > > > Deadline for the applications is Nov 15 2018. > > Candidate is expected to start in September 2019. > > Informal enquiries and Questions can be sent to boris.gutkin(a)ens.fr > >

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Research Assistant Professor opening for NeuroMorpho.Org IT Manager position
by Ruben Armananzas Arnedillo Oct. 3, 2018

Oct. 3, 2018

Dear Colleagues, We are searching for an exceptional individual to lead the information technology infrastructure of NeuroMorpho.Org as a Research Assistant Professor in the Center for Neural Informatics and the Bioengineering Department of George Mason University (near Washington DC, USA). If you know suitable candidates with a Ph.D. in computer science, software engineering, information systems, applied mathematics, physics, data science, or related fields, please encourage them to apply at https://jobs.gmu.edu/postings/44093 Especially desired are proficiency in Java, C/C++, Python, R, Matlab, and Shell scripting; experience with Unix/Linux server administration; SQL & NoSQL database design and system operation; web technologies and API (micro) services; content management & collaborative platforms; big-data & cloud computing analytical tools; task analysis automation; knowledge in project management (PMP or similar); and understanding of neuroscience data. The successful applicant will assume responsibility of the NeuroMorpho.Org continuous maintenance, development, and management, including design of new solutions to enhance and expand existing functionality. The incumbent will work directly with the project director, will select and supervise multiple masters-level assistants, and will have unlimited access to dedicated supercomputer and server facilities, flexible working schedule, salary based on the NIH scale, and state employee benefits. Review of applications will begin on November 1, 2018; the position is available immediately. The NeuroMorpho.Org Team

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Assistant Professor Position in High-Dimensional Data Analysis, CU Boulder, Dept. of Applied. Math. (Deadline Oct. 16, 2018)
by Zachary Kilpatrick Oct. 3, 2018

Oct. 3, 2018

The Department of Applied Mathematics at the University of Colorado at Boulder invites applications for a tenure track faculty position at the Assistant Professor level to begin August 2019. The position is in the area of high dimensional data analysis (big data), with possible areas of emphasis including nonlinear optimization, analysis in high-dimensional spaces, randomized projections, probabilistic numerics, harmonic analysis, theoretical deep learning, and related areas. However, exceptional candidates in all fields of Applied Mathematics may be considered. The candidate is expected to take an active role in undergraduate and graduate teaching, conduct a vigorous externally funded research program, advise graduate students, and participate in department and university governance. We also seek candidates who demonstrate effectiveness in teaching, mentoring, nurturing, and inspiring diverse students of all ethnicities, nationalities and genders, including first generation college undergraduates. Review of applications will begin on October 16, 2018; applications will be accepted until the position is filled. —————————————— The College of Arts and Sciences at the University of Colorado Boulder is home to five Nobel laureates, four National Medal of Science winners, eight MacArthur "Genius Award" winners, 100 Fulbright Scholars, 17 Guggenheim Fellows, 14 Packard Fellows, 24 members of the National Academy of Sciences, and 23 members of the American Academy of Arts and Sciences. CU Boulder is the only university in the Rocky Mountain region in the American Association of Universities, a group of the nation’s leading research institutions. The Department of Applied Mathematics is home to 22 tenured and tenure track faculty members whose research span computational mathematics, nonlinear mathematics including nonlinear dynamics and waves, mathematical biology, physical applied mathematics, probability, and statistics. The Department sits at the crossroads of the university's two largest colleges, being rostered in the College of Arts and Sciences while teaching students in the College of Engineering. Our faculty have won numerous awards including: four fellows of the Society of Industrial and Applied Mathematics, two fellows of the American mathematical Society, two Guggenheim Fellows, an American Statistical Association Fellow, and a Sloan Fellow. For more information see http://www.colorado.edu/amath. ————————————— Minimum Qualifications: Applicants must have a Ph.D. in applied mathematics or a related area, a strong record of research accomplishments, and have excellent teaching and communication skills. To apply, please submit the following materials at https://jobs.colorado.edu/jobs/JobDetail/?jobId=12897 <https://jobs.colorado.edu/jobs/JobDetail/?jobId=12897> 1. Resume/CV 2. Cover Letter 3. List of references 4. Statement of Teaching Philosophy 5. Statement of Research Philosophy 6. You will need to submit 3 references for this position. These individuals will be contacted and asked to submit a letter of recommendation as part of your application materials. This information will be kept confidential and viewable only by the search committee.

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Open Rank Faculty Position, Department of Mathematics, City College of New York, CUNY
by Asohan Amarasingham Oct. 2, 2018

Oct. 2, 2018

Dear Colleagues, The Department of Mathematics of the City College of New York is hiring invites applications for one or more positions at the Assistant Professor, Associate Professor, or Professor levels, to start August 31, 2019. Computational neuroscience and computational biology generally are an area of particular interest for the search, and an area of focus both in the department and more broadly at City College and CUNY (see, for example, the Initiative for Theoretical Sciences at the CUNY Graduate Center). Thus researchers who focus on applications of mathematics or statistics to neuroscience are encouraged to apply. The department has strong mathematical research activities in a broad range of areas. Instructional needs are at all levels, including undergraduate service and major courses, and graduate courses both in the CCNY graduate programs and through the CUNY Graduate Center. The full announcement is below. Please feel free to contact me if you have further questions. Best regards, Asohan Amarasingham ==================================== https://www.mathjobs.org/jobs/jobs/12498 The Department of Mathematics of the City College of New York invites applications for one or more positions at the Assistant Professor, Associate Professor, or Professor levels, pending administrative approval, to start August 31, 2019. The department has strong research in a broad range of areas. Areas of greatest need and interest are for applicants with expertise in statistics, probability, and those areas of applied mathematics most relevant to computational biology and data science, but exceptional applicants from all areas of pure and applied mathematics will be considered. Instructional needs are at all levels, including undergraduate service and major courses, and graduate courses both in the CCNY graduate programs and through the CUNY Graduate Center. The City College of New York (CCNY) is part of the City University of New York (CUNY) system, with a strong tradition of excellence in science and engineering. CCNY serves a broad range of students and CUNY has an exemplary record in moving students from poverty to prosperity. CCNY serves a broad range of students and CUNY has an exemplary record in moving students from poverty to prosperity. The Department actively encourages applications from women and minority candidates. Applicants must apply electronically at http://www.mathjobs.org ALL APPLICANTS MUST APPLY VIA CUNYfirst FOR CONSIDERATION. Please apply by visiting this CUNY.jobs page<https://cuny.jobs/jobs/?q=19465> or by the following: Go to www.cuny.edu and click on "Employment" or visit Employment at CUNY<http://www2.cuny.edu/employment/> Click "Search job listings" Click on "More options to search for CUNY jobs" Search by Job Opening ID number 19465 Click on the "Apply Now" button and follow the instructions. The applicant must submit an application cover letter detailing interest in the position, a current CV, statements detailing research and teaching interests, a diversity statement reflecting the candidate's thoughts and experience on fostering inclusivity in the classroom and workplace, and arrange for four letters of reference to be submitted through mathjobs.org, with at least three addressing research and at least one addressing teaching qualifications. Review of applications begins October 15th, with applications considered until the position is filled. The City University of New York is an Affirmative Action/Equal Opportunity Employer and Educator.

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Frontiers Research Topic on Data Assimilation
by Axel Hutt Oct. 2, 2018

Oct. 2, 2018

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

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New temporal multiple kernel learning method for characterizing relating SC to connectivity dynamics and Brain state switching
by Dipanjan Oct. 2, 2018

Oct. 2, 2018

Dear all, It is my pleasure to share with you a very recent methods and data driven modelling paper from our lab on how Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model to explore SC-dFC-FC tripartite relationship published in Neuroimage. https://www.sciencedirect.com/science/article/pii/S1053811918318597?via%3Di… The proposed model uses spectral graph theory techniques to partitions aspects of the whole-brain dynamics essentially into two parts: (i) characterizing temporal dynamics through identification of latent transient states, and (ii) linking them to the underlying structural geometry. These two aspects are captured using a novel blend of unique methods. The proposed solution does not make strong assumptions about the underlying data and is generally applicable to resting or task data for learning subject-specific state transitions and for successfully characterizing SC-dFC-FC relationship through a unifying framework. MATLAB code for the proposed method can be downloaded from: https://github.com/SriniwasGovindaSurampudi/tMKL Any comments/questions/suggestions on the method/code are of course welcome. Regards, Dipanjan

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Several Openings, New Lab. Systems Neuroscience.
by Carmen Varela Oct. 2, 2018

Oct. 2, 2018

We are looking for researchers (undergraduate to postdoc) to join a new systems neuroscience laboratory that will open in the rapidly growing Jupiter campus of Florida Atlantic University (FAU) in 2019. Under the direction of Dr. Carmen Varela, the lab will seek to discover fundamental cellular and network mechanisms that contribute to cognitive behavior, with a focus on learning and memory and on the role of the neuronal circuits formed by the thalamus https://www.thethalamus.org/ We will rely heavily on extracellular recordings in behaving rodents and quantitative analyses of cellular activity and local field potentials, in order to investigate how thalamic networks contribute to memory retrieval, problem solving, and sleep-dependent memory consolidation. If you are passionate about these topics we would love for you to join us and be part of the founding projects of the lab! *General requirements: * Outstanding interpersonal and communication skills, demonstrated initiative and dedication, ability to learn fast. Hands-on research experience in neuroscience preferred, particularly with rodent models. Knowledge of MATLAB (and/or other programming languages) and computational skills (signal processing, statistics) desirable. Candidates selected for an interview will be asked to provide contact information for two references. Start date is flexible from January 2019. *What you get: * · Research experience in behavioral and cognitive neuroscience, electrophysiology, optogenetics, fiber photometry. · Mentorship and guidance to help you achieve your scientific and training goals. The lab is located in the Jupiter campus of FAU, an expanding neuroscience hub that also holds our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. If interested in joining as a graduate student, there are several programs within FAU and with the Max Planck and Scripps (http://www.ibrain.fau.edu/gradneuro/program.html) Application deadlines for graduate programs in the Fall of 2018. *Interested candidates please send a CV and a brief description of research skills and interests to: carmenv(a)mit.edu <carmenv(a)mit.edu> *

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PhD opportunities at the Universities of Bath and Exeter
by Purcell, Sarah Oct. 2, 2018

Oct. 2, 2018

Dear all, The Universities of Bath and Exeter are seeking applications for PhD candidates for two biology/medicine modelling projects. Both projects will use a combination of mathematical modelling and data analysis (possibly with some data collection for interested applicants). The studentship will cover 3.5 years, with a start date of September 2019. However, this is open for EU students only. The first project will involve multi-scale modelling of skeletal muscle bioenergetics, with applications to deficits in cystic fibrosis. The student would primarily be based at the University of Exeter (with Dr. Kyle Wedgwood & Prof. Craig Williams) with secondments at the University of Bath (with Dr. James Betts). For more information, see here: http://www.exeter.ac.uk/studying/funding/award/?id=3236 The second project will investigate ion channel mutations associated with dementia. The student would primarily be based at the University of Bath (with Prof. Alain Nogaret) with secondments at the University of Exeter (with Prof. Andy Randall, Dr. Kyle Wedgwood). For full details of the project, please visit http://www.gw4biomed.ac.uk/available-projects-2/neuroscience-and-mental-hea… and select the project entitled "In-depth understanding of dementia-associated changes to neuronal signalling" Best wishes, Dr. Kyle Wedgwood MRC Research Fellow Centre for Biomedical Modelling & Analysis College of Engineering, Mathematics and Physical Sciences University of Exeter Living Systems Institute Stocker Road EX4 4QD ________________________________________________________________

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Postdoctoral Fellow in Multifactorial Brain Analysis of Amyotrophic Lateral Sclerosis
by Yasser Iturria Medina Oct. 1, 2018

Oct. 1, 2018

We are looking for a highly motivated postdoctoral student, for joining the *Neuroinformatics for Personalized Medicine* lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada) and the Kalra lab for Neuroimaging and ALS Research (University of Alberta, Edmonton, Canada). The postdoc will be under the supervision of Professors Yasser Iturria-Medina and Sanjay Kalra, and will be expected to collaborate with multiple associated groups. The project, for one year and potentially extendable for another year, includes the analysis of direct multifactorial brain interactions and intra-brain network spreading of aberrant effects in Amyotrophic Lateral Sclerosis. The NeuroPM lab (http://www.neuropm-lab.com/) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (*https://www.mcgill.ca/hbhl/ <https://www.mcgill.ca/hbhl/>*), the Ludmer Center (http://ludmercentre.ca/) and the McConnell Brain Imaging Center (https://www.mcgill.ca/bic/) involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. The Kalra Lab ( http://www.ualberta.ca/ALS/research/) has the mission of improving our understanding of ALS biology through brain imaging and translational research. It is the central coordinating site for the Canadian ALS Neuroimaging Consortium (CALSNIC), a multicenter research platform for the collection of harmonized imaging and behavioural data. Interested candidates should have a solid background in brain imaging and Matlab. Experience in neurodegeneration and brain computational modeling will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The competition will remain open until the position is filled. *Contact*: Yasser Iturria Medina, Emails: yasser.iturriamedina(a)mcgill.ca Sanjay Kalra, Email: kalra(a)ualberta.ca -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/

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Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab
by Aaron Seitz Oct. 1, 2018

Oct. 1, 2018

Professor Aaron Seitz in the Department of Psychology at UC Riverside has several openings for graduate students. Students can work in one or both of the Perception and Learning lab and the Brain Game Center. The Perception and Learning lab conducts basic research on perception, learning and memory using a variety of approaches including advanced Psychophysics, EEG, and fMRI, and computational methodologies. The UCR Brain Game Center is a unique research unit that focuses on translational psychology and neuroscience work where we exploit the potential of consumer technologies to conduct research at large scale. This involves running hundreds to many thousands of participants on research studies designed to develop better measurements of perceptual and cognitive abilities as well as new training tools for these skills. To date we have developed numerous approaches addressing vision, hearing, working memory, executive function, and fluid intelligence. In both labs we use compu! tational modeling and machine learning as well as standard data analysis approaches. For more information on research in the Seitz labs please see http://faculty.ucr.edu/~aseitz/ and http://braingamecenter.ucr.edu. Prospective graduate students should send an email to aseitz(a)ucr.edu with their CV, and description of research interests. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Please see the following websites for more information about the Psychology (https://psych.ucr.edu) or Neuroscience (http://neuro.ucr.edu) graduate programs. -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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Tenure-track faculty position in Computation Neuroscience at Western University, Canada
by Jorn Diedrichsen Sept. 29, 2018

Sept. 29, 2018

Supported by BrainsCAN, a $66M grant from the Canadian government (www.uwo.ca/brainscan<http://www.uwo.ca/brainscan>), Western University is expanding it’s strength in Neuroscience with a new tenure-track faculty position (Assistant or Associate Professor) in Computational Neuroscience. Successful candidates will join the Brain and Mind Institute (www.uwo.ca/bmi<http://www.uwo.ca/bmi>), one of the leading centres in cognitive Neuroscience in Canada, with a full range of ultrahigh field, research-dedicated MRI scanners (3T, 7T, 9.4T) and state-of-the-art laboratories for cognitive, behavioural, and neurophysiological testing in humans, non-human primates and rodents. The academic appointment of the candidate will be, depending on the candidate’s background, in the Department for Applied Mathematics, Statistics, or Computer Science. The deadline for the position in Computational Neuroscience is November 1st: https://brainscan.uwo.ca/work_with_us/vacancies/index.html Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Postdoctoral research in theoretical neuroscience
by Brent Doiron Sept. 29, 2018

Sept. 29, 2018

The Doiron group at the University of Pittsburgh is currently seeking up to three postdoctoral fellows to work on cutting edge problems in theoretical neuroscience. Research topics include 1) Large-scale collaboration on modeling diverse inhibitory circuits in mouse V1. The research will be in collaboration with the Columbia theory center (Ken Miller, Larry Abbott, Misha Tsodyks, and Liam Paninski) as well as experimental labs at Berkeley (Adesnik lab, Ji lab) , UCSF (Scanziani lab) and Caltech (Cai lab). 2) Modeling population activity in the visual system and its modulation through top-down cognitive processes. 3) Modeling the formation and stability mechanics of learning in recurrently coupled cortical networks. All projects will involve heavy collaboration with several prominent experimental groups both in Pittsburgh as well as abroad. The positions are 3 year terms (contingent upon satisfactory progress) with competitive salary and benefits packages offered by the University of Pittsburgh. The successful candidate will join the Mathematics department at the University of Pittsburgh and will have strong ties to the Center for the Neural Basis of Cognition in Pittsburgh (joint between Pitt and Carnegie Mellon University). Candidates should have a Ph.D. in computational neuroscience, mathematics, physics, or engineering and have an excellent track record of scholarship. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested persons should send their CV, a cover letter stating research interests and career goals, and names and contact information of two references to: bdoiron(a)pitt.edu . The competition will remain open until the positions are filled. -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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Faculty position in computational neuroscience at the University of Pittsburgh
by Brent Doiron Sept. 29, 2018

Sept. 29, 2018

Dear Computational neuroscience community The Dietrich School at the University of Pittsburgh invites applications for two tenure-track faculty positions at the Assistant Professor level in *Mathematical and Computational Life Sciences *to begin in the fall term of 2019. Successful candidates will be placed in the departments most suitable for their backgrounds and research programs from among the Departments of Mathematics, Biology, Neuroscience, Physics, and Chemistry. We seek outstanding scientists who will enhance and complement our existing strengths and who will collaborate with members of our sizable neuroscience, biology, biophysics, and biochemistry communities. One position is in *Mathematical and Computational Neuroscience. *Candidates working on the following topics are especially encouraged to apply: - Circuits and information flow in neuroscience - Neuronal and population dynamics - Synaptic mechanisms and dynamics - Neuronal membrane properties and ion channel function The other position is in *Mathematics and Theory of Biological Processes*. Candidates working on the following topics are especially encouraged to apply: - Mathematical ecology - Evolutionary theory - Cellular sensing and signal processing - Epigenetic and gene network dynamics The University of Pittsburgh is an active center for interdisciplinary research in the life sciences offering exciting opportunities for collaborations across departments as well as with our highly ranked medical school. The University is currently ranked third in the nation in total NIH funding, and the city of Pittsburgh is often voted “most livable” in the nation. These positions represent part of a vision to grow our community of researchers at the interface of mathematics, physics, chemistry and the life sciences. Successful candidates will have a Ph.D. and should demonstrate substantial research accomplishment and dedication to teaching. They will be expected to establish an extramurally funded research program, train graduate students, and actively participate in undergraduate education. *Review of applications will begin on October 23, 2018, *and will continue until the positions are filled*. *Applicants can apply online at: https://facultysearch.as.pitt.edu/apply/index/MjQy. Candidates should submit (a) a cover letter, (b) a CV, (c) a statement of research accomplishments and future plans, (d) a brief description of teaching interests, (e) a brief description of how your research, teaching or service demonstrates a commitment to diversity and inclusion, and (f) at least three letters of reference (for each reference, you will have the opportunity to input an email address through Interfolio’s Online Application system and a notification will be sent to the designated address with instructions). The positions are pending budgetary approval. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disabled. Person to Contact: Erika Carpio 139 University Place Room 302 Pittsburgh, PA 15206 412-624-8361 -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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job opening in neural dynamics and control
by Obermayer, Klaus, Prof. Dr. Sept. 28, 2018

Sept. 28, 2018

Dear moderator, can post our job announcement below on the neuroinformatics mailing list? Thank you very much! Best regards Klaus Obermayer ------------------------------------------------------------------------------------------------------------------------------------------------ Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Brain network models: Dynamics and Control Salary grade E13 (TV-L Berliner Hochschulen) Duration: max. 4 years Starting date: January 1st, 2019 Working field: The successful candidate is supposed to work on the analysis and simulation of calibrated whole-brain networks using neuronal mass models and on the design and evaluation of novel control schemes for the stabilization of and the switching between their dynamical states. She/he will be part of the Collaborative Research Center "Control of self-organizing nonlinear systems: Theoretical methods and concepts of application" (https://www.itp.tu-berlin.de/sfb910/ sonderforschungsbereich_910/sonderforschungsbereich_910/) as well as the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) The candidate is also expected to interact with clinical scientists who are interested in the non-invasive manipulation of the whole-brain dynamics using transcranial current stimulation. Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Mathematics, Physics, or related fields; in-depth knowledge in non-linear dynamics and stochastic processes; very good programming and English language skills. How to apply: Please send your application with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin, Germany, or by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/ Please send copies only. Original documents will not be returned. Aplication deadline: 26. 10. 2018 Reference number: IV-570/18

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Two PhD positions in computational and cognitive neuroscience
by Alireza Soltani Sept. 28, 2018

Sept. 28, 2018

Two PhD positions are available in the Computational and Cognitive Neuroscience Lab <http://ccnl.dartmouth.edu/> of Alireza Soltani at Dartmouth College. This NIH-funded project aims to uncover circuit-level mechanisms underlying adaptive learning. The project involves computational modeling at different levels (mean-field to spiking networks) as well as analyses of behavioral, electrophysiological, and calcium imaging data in rats during dynamic learning and decision-making tasks. Applicants should have a strong quantitative background (e.g. physics, math, statistics, computational neuroscience, computer science, etc), good programming skills, genuine interest in understanding the brain, and a collaborative attitude. A background in neuroscience is desirable, but not essential. Interested applicants should submit an inquiry to Alireza Soltani (soltani(a)dartmouth.edu <mailto:soltani@darmouth.edu>), and submit their applications to Psychological and Brain Sciences Program <https://pbs.dartmouth.edu/graduate/graduate-admissions>at Dartmouth College. Alireza Soltani, Ph.D. Assistant Professor Department of Psychological and Brain Sciences Dartmouth College, NH Alireza.Soltani(a)Dartmouth.edu <mailto:Alireza.Soltani@Dartmouth.edu> http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/> Phone: 603-646-2998 Office: Moore 356

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New ebook: Neural Information Theory
by James V Stone Sept. 27, 2018

Sept. 27, 2018

This book (published June 2018) is now available in Kindle and pdf formats: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency by James V Stone. Reviews, synopsis, and table of contents can be found here: http://sebtelpress.com "To understand life, one has to understand not just the flow of energy, but also the flow of information." William Bialek, 2012. regards, Dr James V Stone Honorary Reader, Sheffield University, UK. Web: sebtelpress.com Twitter: @jgvfwstone

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EEG time-varying networks - paper & code
by Williams, Nitin J Sept. 27, 2018

Sept. 27, 2018

APOLOGIES FOR CROSS-POSTING: Dear all, I am just writing to let you know of our recent paper on a Markov Model-based method to analyse time-varying networks in EEG task-related data: https://doi.org/10.3389/fncom.2018.00076 The method combines sparse-MVAR (Multi Variate Auto Regressive) modelling to estimate networks, with Markov modelling to characterise network changes. We propose this method as complementing existing methods to analyse time-varying networks in EEG/MEG task-related data. MATLAB code for the method can be downloaded from: https://github.com/nitinwilliams/eeg_meg_analysis/tree/master/sMVAR_MM_tool… Any comments/questions on the method/code are of course welcome. Regards, Nitin

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Workshop announcement: The HBP CodeJam #9 Workshop
by Andrew Davison Sept. 27, 2018

Sept. 27, 2018

The HBP CodeJam #9 Workshop - Early-bird registration ends 30. Sept.! Grand Hotel Et Des Palmes, Palermo, Italy. Nov. 26, 2018 at 09:00 – Nov. 28, 2018 at 18:00 The goal of the CodeJam workshops is to catalyze open-source, collaborative software development in computational and systems neuroscience and neuroinformatics, by bringing together researchers, students and engineers to share ideas, present their work, and write code together. The general format of the workshops is to dedicate the mornings to invited and contributed talks, leaving the afternoons free for discussions, tutorials and code sprints. The theme of this 9th installment is "co-design": scientists, students and engineers from different disciplines collaborating to build research infrastructure for computation-based neuroscience, and to use this infrastructure to model brain circuits, behaviour and learning, develop novel bio-inspired computing systems, and help discover new drugs for neurological disorders. Topics of CodeJam#9: • Large-scale brain modelling: towards a mouse whole brain model • Cortical and subcortical microcircuit models: circuit and model workflows, simulation and analysing tools, computing resources and user interaction • Infrastructure and open data: Beyond traditional HPC, electrophysiology data formats and analysis • Visio-motor integration and hierarchical navigation planning: Integration with HBP Infrastructure (Neurorobotics platform) • Biological deep learning: Plasticity implementation on neuromorphic systems • Modelling for drug discovery and medicine Topics might change slightly, we are still finalizing the programme. Confirmed speakers (not yet complete): • Matteo Cantarelli • Oliver Schmid • Markus Diesmann • Stine Vennemo • Håkon Mørk • Armandi Romani • Genrich Ivaska • Shailesh Appukuttan • Bernd Schuller • Michael Denker • Alper Yegenoglu • Lorenzo Vannucci More information and registration details at https://neuralensemble.org/meetings/CodeJam9/ Registration fee: Early-bird registration ends on 30 September 2018 Programme Committee Luca L. Bologna (CNR), Andrew Davison (CNRS), Anna Kreshuk (U. Heidelberg), Eric Müller (U. Heidelberg), Jeff Muller (EPFL), Bernd Schuller (FZ Jülich) Organisers Luca L. Bologna (CNR), Alessia Bonafede (CNR), Martina Schmalholz (U. Heidelberg)

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Postdoctoral position in memory, sequence replay, and sleep
by Kamran Diba Sept. 26, 2018

Sept. 26, 2018

<https://sites.lsa.umich.edu/diba-lab/>The Diba Lab <https://sites.lsa.umich.edu/diba-lab/> at the University of Michigan Medical School is currently recruiting a postdoctoral candidate for a project recently funded by two NIMH (R01 and R21) grants. The project involves a collaboration with Dr. Ted Abel’s lab at the University of Iowa to investigate the Molecular, Cellular and Circuit Effects of Sleep Deprivation on Hippocampal Function. The successful candidate will perform and analyze large-scale neuronal recordings from freely-behaving, sleeping and sleep-deprived animals, along with chemogenetic manipulations, immunohistochemistry and biochemical assays. Data analysis of oscillatory and sequential neuronal firing patterns, using MATLAB, python, and other tools, is critical for this research and the prospective candidate should demonstrate quantitative and programming skills. The salary will be based on the National Research Service Award (NRSA) payscale <https://grants.nih.gov/grants/guide/notice-files/NOT-OD-18-175.html>. Our lab is housed in the Department of Anesthesiology and the Center for Consciousness Science <https://consciousness.med.umich.edu/> at Michigan Medicine. We are affiliated with the Department of Biomedical Engineering <http://bme.umich.edu/explore-research/> and the Neuroscience Graduate Program <http://neuroscience.med.umich.edu/program-0>. Collectively these programs and the University of Michigan at large provide a highly exciting and stimulating scientific environment for computational and systems neuroscience. The city of Ann Arbor is also consistently ranked <https://annarborusa.org/insights/communities/facts-rankings/> among the top places in the U.S. to live (with ready access to cultural events, sports, parks and natural beauty. Applicants should contact Kamran Diba: kdiba(a)umich.edu with a detailed C.V. or resume and a description of research background, skills, and interests. ------------- A top-ranked public university, the University of Michigan has a tradition of excellence in research, learning and teaching, sports and the arts, and more. The neuroscience community at the University of Michigan encompasses over 154 participating faculty from among 29 departments from the School of Medicine (including the Department of Anesthesiology), College of Literature Science and Arts, College of Engineering, School of Dentistry, School of Kinesiology and School of Public Health. As the longest standing neuroscience Ph.D. program in the United States the Neuroscience Graduate Program at U-Michigan has built an exceptional graduate program that features collaborative interactions among faculty and integration across individual disciplines. The program is composed of 70 to 80 graduate students (currently, 52% women, 30% under-represented minorities) and has more than 130 successful and accomplished alumni that work in academic research, industrial research and development, academic medicine and biotechnology. The NGP sponsors many activities that foster development of an active and cohesive neuroscience community on campus (e.g. Weekly Neuroscience Research Seminars, Annual Retreat, Spring Symposium, and Community Outreach).

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CFP: The OMG-Empathy Prediction Challenge
by Pablo Barros Sept. 26, 2018

Sept. 26, 2018

CALL FOR PARTICIPATION The One-Minute Gradual-Empathy Prediction (OMG-Empathy) Competition held in partnership with the IEEE International Conference on Automatic Face and Gesture Recognition 2019 in Lille, France. https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_empathy.html I. Aim and Scope The ability to perceive, understand and respond to social interactions in a human-like manner is one of the most desired capabilities in artificial agents, particularly social robots. These skills are highly complex and require a focus on several different aspects of research, including affective understanding. An agent which is able to recognize, understand and, most importantly, adapt to different human affective behaviors can increase its own social capabilities by being able to interact and communicate in a natural way. Emotional expression perception and categorization are extremely popular in the affective computing community. However, the inclusion of emotions in the decision-making process of an agent is not considered in most of the research in this field. To treat emotion expressions as the final goal, although necessary, reduces the usability of such solutions in more complex scenarios. To create a general affective model to be used as a modulator for learning different cognitive tasks, such as modeling intrinsic motivation, creativity, dialog processing, grounded learning, and human-level communication, only emotion perception cannot be the pivotal focus. The integration of perception with intrinsic concepts of emotional understanding, such as a dynamic and evolving mood and affective memory, is required to model the necessary complexity of an interaction and realize adaptability in an agent's social behavior. Such models are most necessary for the development of real-world social systems, which would communicate and interact with humans in a natural way on a day-to-day basis. This could become the next goal for research on Human-Robot Interaction (HRI) and could be an essential part of the next generation of social robots. For this challenge, we designed, collected and annotated a novel corpus based on human-human interaction. This novel corpus builds on top of the experience we gathered while organizing the OMG-Emotion Recognition Challenge, making use of state-of-the-art frameworks for data collection and annotation. The One-Minute Gradual Empathy datasets (OMG-Empathy) contain multi-modal recordings of different individuals discussing predefined topics. One of them, the actor, shares a story about themselves while the other, the listener, reacts to it emotionally. We annotated each interaction based on the listener's own assessment of how they felt while the interaction was taking place. We encourage the participants to propose state-of-the-art solutions not only based on deep, recurrent and self-organizing neural networks but also traditional methods for feature representation and data processing. We also enforce that the use of contextual information, as well as personalized solutions for empathy assessment, will be extremely important for the development of competitive solutions. II. Competition Tracks We let available for the challenge a pre-defined set of training, validation and testing samples. We separate our samples based on each story: 4 stories for training, 1 for validation and 3 for testing. Each story sample is composed of 10 videos with interactions, one for each listener. Although using the same training, validation and testing data split, we propose two tracks which will measure different aspects of the self-assessed empathy: The Personalized Empathy track, where each team must predict the empathy of a specific person. We will evaluate the ability of proposed models to learn the empathic behavior of each of the subjects over a newly perceived story. We encourage the teams to develop models which take into consideration the individual behavior of each subject in the training data. The Generalized Empathy track, where the teams must predict the general behavior of all the participants over each story. We will measure the performance of the proposed models to learn a general empathic measure for each of the stories individually. We encourage the proposed models to take into consideration the aggregated behavior of all the participants for each story and to generalize this behavior in a newly perceived story. The training and validation samples will be given to the participants at the beginning of the challenge together with all the associated labels. The test set will be given to the participants without the associated labels. The team`s predictions on the test set will be used to calculate the final metrics of the challenge. III. How to Participate To participate to the challenge, please send us an email to barros @ informatik.uni-hamburg.de with the title "OMG-Empathy Team Registration". This e-mail must contain the following information: Team Name Team Members Affiliation Participating tracks We split the corpus into three subsets: training, validation and testing. The participants will receive the training and validation sets, together with the associated annotations once they subscribe to the challenge. The subscription will be done via e-mail. Each participant team must consist of 1 to 5 participants and must agree to use the data only for scientific purposes. Each team can choose to take part in one or both the tracks. After the training period is over, the testing set will be released without the associated annotations. Each team must submit, via e-mail, their final predictions as a .csv file for each video on the test set. Together with the final submission, each team must send a short 2-4 pages paper describing their solution published on Arxiv and the link for a github page to their solution. If a team fails to submit any of these items, their submission will be invalidated. Each team can submit 3 complete submissions for each track. IV. Important Dates 25th of September 2018 - Opening of the Challenge - Team registrations begin 1st of October 2018 - Training/validation data and annotation available 1st of December 2018 - Test data release 3rd of December 2018 - Final submission (Results and code) 5th of December 2018 - Final submission (Paper) 7th of December 2018 - Announcement of the winners V. Organization Pablo Barros, University of Hamburg, Germany Nikhil Churamani, University of Cambridge, United Kingdom Angelica Lim, Simon Fraser University, Canada Stefan Wermter, Hamburg University, Germany -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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Postdoc in computational neuroscience/mathematical biology
by Rubchinsky, Leonid L Sept. 26, 2018

Sept. 26, 2018

NSF-supported postdoctoral position in mathematical biology/computational neuroscience in my group in the Department of Mathematical Sciences at Indiana University-Purdue University Indianapolis (IUPUI). This position involves research in the mechanisms and properties of synchronization in neural and other living systems including collaboration with experimentalists. The position offers excellent interdisciplinary training possibilities in computational neuroscience and mathematical biology. Applicants should have (or expected to get in a near future) Ph.D. in mathematics, physics, neuroscience, biomedical engineering, computer science, or another related field. Applicants should have strong quantitative skills in dynamical modeling and data analysis and a strong interest in life sciences applications. Experience in nonlinear dynamics, computational neuroscience, and mathematical biology is a plus. Please apply via mathjobs.org at https://www.mathjobs.org/jobs/jobs/12619. Screening of applications will continue until position is filled. Please address informal inquires to Leonid Rubchinsky via e-mail: lrubchin(a)iupui.edu Leonid *********************** Leonid Rubchinsky, PhD Associate Professor Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~leo 317-274-9745 317-274-3460 (fax) ***********************

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Software Developer / Research Associate
by Stephanie Jones Sept. 24, 2018

Sept. 24, 2018

Applications are invited for a research software developer / research associate position in the lab of Dr. Stephanie Jones at Brown University in Providence, RI. The level of the hire depends on experience. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health and disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. The software developer / research associate will work with a team of researchers at Brown, Mass General Hospital, and Yale, to help develop a new software tool for circuit level investigation of human magneto- and electro-encephalography (MEG/EEG) signals: Human Neocortical Neurosolver, HNN (https://hnn.brown.edu) <https://hnn.brown.edu)>. The goal of this software is to provide the community with a user friendly tool to develop and test hypotheses on the circuit origin of their data. The hired candidate will help support and expand HNN’s capabilities, including software development and working with researchers to apply HNN to specific neuroscience questions. Duties will also include development of tutorials, online resources, and participation in workshops aimed at training the community in the use and applicability of HNN. Candidates should have a Bachelor’s, Master’s, or PhD in computer science, neuroscience, biomedical engineering, and/or related field. Strong Python programming skills are required, and experience with neural modeling, particularly NEURON, is preferred. Familiarity with MEG/EEG analysis methods and/or non-invasive brain stimulation is also beneficial. Candidates should be able to work in a dynamic, interdisciplinary, and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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Postdoctoral researchers - computational modeling, EEG, TMS
by Stephanie Jones Sept. 24, 2018

Sept. 24, 2018

Applications are invited for a postdoctoral position in the lab of Dr. Stephanie Jones at Brown University in Providence RI. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health in disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. We are expanding our research efforts to including non-invasive brain stimulation. A postdoctoral position is available to integrate simultaneous human EEG and transcranial magnetic stimulation (TMS) in humans, with computational neural modeling developments. The postdoctoral researcher will help expand our new software tool Human Neocortical Neurosolver (https://hnn.brown.edu) <https://hnn.brown.edu)/> for circuit level interpretation of EEG/MEG signals to include TMS studies. She/he will also help with the design, implementation and analysis of our TMS/EEG experiments. Candidates should have a PhD in neuroscience, computational neuroscience, computer science, applied mathematics, biomedical engineering, and/or related field. Strong quantitative and programming skills are required. The ideal candidate would have experience in computational neuroscience methods applied to human EEG and brain stimulation data. However, experience in all areas is not required. Candidates should be able to work in a dynamic, interdisciplinary and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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Workshop: High Performance Computing in Neuroscience
by Carnevale, Nicholas Sept. 24, 2018

Sept. 24, 2018

Does your research involve computationally intensive tasks such as large scale modeling or data analysis? Come to the workshop on High Performance Computing Resources for Parallel Simulations and Data Analysis: NSG and HPAC to share your experience with others who are dealing with similar challenges, and learn about resources that are currently available and/or being developed that may help accelerate your own research. This workshop will be held on Saturday, Nov. 3 from 8:30 AM to 12:30 PM at a location in downtown San Diego. Space is limited, and the registration deadline is Friday, Oct. 12, so you should act early. For the on-line registration form see https://neuron.yale.edu/neuron/static/courses/nsg2018/nsg2018.html The workshop will include a combination of short presentations and discussions. Confirmed speakers and topics include: "The Neuroscience Gateway" Amit Majumdar, Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale "Research Activities at the Human Brain Project's High Performance Analytics and Computing Platform" Alexander Peyser "Human Neocortical Neurosolver: A New Modeling Platform for Cellular and Circuit Level Interpretation of EEG/MEG" Samuel A Neymotin, Dylan S Daniels, Noam Peled, Robert A McDougal, Ted Carnevale, Christopher I Moore, Michael L Hines, Matti Hamalainen, Stephanie R Jones "Towards a Complete Description of the Hippocampal Circuitry Underlying Sharp Wave-Mediated Memory Replay" Ivan Soltesz "Neuroanatomical models beyond the spatial resolution of MRI require HPC: The Big Brain and fiber tracts" Karl Zilles, Nicola Palomero-Gallagher and Katrin Amunts "The Virtual Brain: personalized large-scale brain network modeling and its applications" Viktor Jirsa

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Neuro-Inspired Computational Elements (NICE) 2019 Abstract Submission Open!
by Aimone, James Bradley Sept. 24, 2018

Sept. 24, 2018

Dear Colleagues: The call for abstracts for NICE 2019 is open for submissions at https://easychair.org/cfp/NICE2019 As with past NICE workshops, we are seeking submissions describing advances at the intersection of theoretical neuroscience, neural computing hardware and algorithms, and applications of this brain-inspired computing technology. Preference will be given to unpublished results that bridge our community. For agendas and videos of talks from past meetings, please see http://niceworkshop.org Submissions are 2 page extended abstracts, which will be reviewed to select full and short talks, as well as posters. New for NICE this year we are looking at potential options for proceedings papers, to be invited from the top submissions this year. Abstracts are due on November 15th. Registration will open in a few weeks. ---------------- NICE 2019 will be taking place during March 26-29, 2019 in Albany CNSE Campus in Albany, NY Important dates: Abstract call: September 15, 2018 Abstract submission open: September 22, 2018 Abstracts due: November 15, 2018 Selection announcement: January 15, 2019 ----------------- Hope to see you in Albany! Brad Aimone NICE Program Chair -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

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BrainScaleS, SpiNNaker and NES: EITN workshop 'Are we building the right user-level documentation?'
by Martina Reske Sept. 24, 2018

Sept. 24, 2018

Dear users of BrainScaleS, SpiNNaker and NEST, Documentation is where we provide guidance for our users to successfully navigate, understand and use our software. But how do we ensure that the documentation we provide is achieving this goal? We want to hear from you! This EITN workshop 'Are we building the right user-level documentation?' is an opportunity for users to help steer documentation in the right direction and for us to better understand the needs of our communities. Join us November 21 to November 22 in Paris, France. Registration is now open! See program details and register at https://eitnconf-211118.sciencesconf.org/ -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Assistant Professor positions at Keele University
by Peter Andras Sept. 23, 2018

Sept. 23, 2018

Two Assistant Professor (UK Lecturer) positions in Computer Science *Keele University *- Faculty of Natural Sciences - School of Computing and Mathematics *Closing date for applications: 21st October 2018* Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £150 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. The University hosts the largest UK Smart Energy Network Demonstrator (SEND) with an associated Centre for Doctoral Training based in the School of Computing and Mathematics. Applications are welcome from dynamic and enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science (e.g. software engineering, evolutionary systems, security, human-computer interaction, biological computation, machine learning, formal methods, distributed systems, smart energy, high-performance computing – but not restricted to these particular fields). Applicants will have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The Assistant Professor (UK Lecturer) posts are part of continued growth and expansion of Computer Science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. Candidates will be expected to develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, AI, big data or digital health. Details of the research carried out in Computer Science at Keele can be found at: http://www.keele.ac.uk/scm/research/compsci/ The successful candidates will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holders will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or p.andras(a)keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for *all* roles. *For full post details please visit: www.keele.ac.uk/vacancies <http://www.keele.ac.uk/vacancies>* *Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link.* *Closing date for applications: 21st October 2018* *Interviews will be held on: 16th November 2018* *Post reference: KU00000898*

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New, introductory, tutorial-based textbook
by Paul Miller Sept. 21, 2018

Sept. 21, 2018

Hi, Particularly if you teach introductory classes or mentor students with limited math/computational background, you may be interested in a new textbook "An Introductory Course in Computational Neuroscience" (http://mitpress.mit.edu/books/introductory-course-computational-neuroscience) The textbook contains numerous computer tutorials, with selected solutions, as well as over 100 codes used to simulate figures, all available online at https://github.com/primon23/Intro-Comp-Neuro or http://people.brandeis.edu/~pmiller/TEXTBOOK/ I hope you find it useful, Paul

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COSYNE 2019: Meeting announcement and Call for workshop proposals
by Tomas Hromadka Sept. 20, 2018

Sept. 20, 2018

==================================================== Computational and Systems Neuroscience 2019 (Cosyne) MAIN MEETING 28 February - 03 March 2019 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2019 Cascais, Portugal www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- 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. This year 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. IMPORTANT DATES Abstract submission opens: 09 October 2018 Abstract submission deadline: 15 November 2018 Workshop pre-proposal deadline: 30 September 2018 Workshop proposal deadline: 31 October 2018 COSYNE SPEAKERS Bruno Averbeck (NIMH) Gwyneth Card (Janelia) Kathleen Cullen (John Hopkins) Kenji Doya (OIST) Ken Harris (UCL) Sonja Hofer (Sainsbury Wellcome Centre) Yann LeCun (NYU) Edvard Moser (NTNU) Yiota Poirazi (IMBB-FORTH) Maneesh Sahani (Gatsby-UCL) Eric Shea-Brown (U Washington) Sara Solla (Northwestern) Karel Svoboda (Janelia) Ilana Witten (Princeton) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Program Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Workshop Chairs: Catherine Hartley (NYU) 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 ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PRE-PROPOSAL DEADLINE: 30 September 2018 FULL PROPOSAL DEADLINE: 31 October 2018 PRE-PROPOSALS In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by *30 September 2018.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory, but are strongly encouraged. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Cascais, a coastal village ~34 km west of Lisbon. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Submission instructions for workshop (pre)-proposals are available at Cosyne.org -> Workshops. PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). The first author on the list becomes the contact author for the proposal. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names, affiliations, and expected topics of talks of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - A brief summary of relevant prior experiences and publications of the organizers (about half a page total). - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. When preparing pre-proposals and full proposals, the organizers are encouraged to: - address timeliness of workshop in the proposal: what new insights have been generated (new papers, data, techniques, whatever) over the past few years that make now the right time for discussing them and for presenting them to the wider community? - directly describe how speakers address the central topic, e.g. which are the big question(s), which speakers represent different viewpoints on the same question, which experimentalist addresses the theories addressed by which theoretician (and vice versa); - address controversies and bring together speakers from different “camps” in the same field, or from different fields that---according to the organizers---should talk more to each other for whatever reason; WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2019 WORKSHOP CHAIRS Catherine Hartley (NYU) and Ralf Haefner (University of Rochester) QUESTIONS email: workshops [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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LACONEU 2019 - last days to apply
by Patricio Orio Sept. 20, 2018

Sept. 20, 2018

DEADLINE EXTENDED TO SEPTEMBER 30th!! Only few more days to apply! ----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2019 V Latin American Summer School in Computational Neuroscience Special Topic: Complex Systems and Network Connectivity January 7-25th, 2019 Valparaíso - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2019 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2019 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. This version also includes a WORKSHOP on January 16th, 2019 CONFIRMED SPEAKERS: - Demian Battaglia, Theoretical Neuroscience Group, INS, France - Joana Cabral, University of Oxford, UK - Bruno Cessac, INRIA Sophia-Antipolis, France - Dante Chialvo, Universidad Nacional de San Martín, Argentina - Rodrigo Cofré, Universidad de Valparaíso, Chile - Mauro Copelli, Federal University of Pernambuco, Brazil - Maxime Descoteaux, Université de Sherbrook, Canada - Wael El-Deredy, Universidad de Valparaíso, Chile - Pamela Guevara, Universidad de Concepción, Chile - María-José Escobar, Universidad Técnica Federico Santa María, Valparaíso, Chile - Henrik Jensen, Imperial College London, UK - Thierry Mora, École Normale Superiéure, France - Patricio Orio, Universidad de Valparaíso, Chile - Adrián Palacios, Universidad de Valparaíso, Chile - Tomás Pérez Acle, Fundación Ciencia y Vida, Chile - Peter Robinson, The University of Sydney, Australia - Fernando Rosas, Imperial College London, UK - Inés Samengo, Centro Atómico Bariloche e Instituto Balseiro, Argentina IMPORTANT DATES - Call for Applications: June 8th, 2018 - Application submission deadline: September 30th, 2018 (visit the webpage to see the details) - Acceptance notification: October 31st, 2018 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! *Prof. Patricio Orio* Centro Interdisciplinario de Neurociencias de Valparaíso *CINV* Facultad de Ciencias, *Universidad de Valparaíso, Chile* +56 32 299 5538 / 32 250 8040

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AMAM 2019, Adaptive motion in animals and machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland
by Auke Ijspeert Sept. 20, 2018

Sept. 20, 2018

AMAM 2019, Adaptive Motion in Animals and Machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland https://amam2019.epfl.ch/ Mark the date and first call for abstracts Investigating how animals and humans excel at adaptive movements can help engineers to improve the adaptive capabilities of robots. In return, robots can serve as scientific tools to explore the basic principles of biological systems, in particular the neuromechanical mechanisms underlying their fascinating motor abilities. AMAM 2019 is the 9th international symposium dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to motor behavior in biological and artificial systems. Previous symposia were held in Montreal, Canada (2000); Kyoto, Japan (2003); Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji, Japan (2011); Darmstadt, Germany (2013); Cambridge, USA (2015); and Sapporo, Japan (2017). Abstract contributions are invited from all areas pertaining to adaptive motion in animals and machines. Accepted abstracts are presented in either oral or poster sessions based on assessed suitability by the program committee. Invited talks and some selected speakers will be presented in oral sessions in a single track. We also encourage participants to contribute hardware demonstrations, as part of the ‘Robot Zoo’@AMAM2019. Important dates: * Jan 18th, 2019 Opening of the extended abstract submission * March 8th, 2019 Deadline of extended abstracts submission * April 12th, 2019 Notification of acceptance for extended abstracts * May 31st, 2019 Deadline of submission for Robot Zoo (Robot Demos) * August 19-23, 2019 Conference Program Committee: * Hitoshi Aonuma, Hokkaido University, Japan * Jordan Boyle, Leeds University, UK * Monica Daley, Royal Veterinary College, UK * Koh Hosoda, Osaka University, Japan * Fumiya Iida, Cambridge, UK * Auke Ijspeert, EPFL, Lausanne, Switzerland * Akio Ishiguro, Tohoku University, Japan * Masato Ishikawa, Osaka University, Japan * Takeshi Kano, Tohoku University, Japan * Sangbae Kim, MIT, USA * Jun Nishii, Yamaguchi University, Japan * Dai Owaki, Tohoku University, Japan * Andre Seyfarth, TU Darmstadt, Germany * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barry Trimmer, Tufts University, USA * Eric Tytell, Tufts University, USA * Hartmut Witte, TU Ilmenau, Germany General Chair: * Auke Ijspeert, EPFL, Lausanne, Switzerland -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Postdoctoral researchers - multimodal fMRI
by Alessandro Gozzi Sept. 20, 2018

Sept. 20, 2018

The Functional Neuroimaging Laboratory, at Istituto Italiano di Tecnologia, Rovereto, Italy, is seeking postdoctoral researchers interested in studying the neural basis of connectivity disruption in brain disorders. Our research, funded by the European Research Council (ERC - project "DisConn"), is aimed at identifying the general neural and cellular principles governing the assembly of spontaneous neural activity, and its breakdown in developmental disorders. We address these questions at the level of identified cell types by combining cutting-edge functional MRI methods with neural manipulations in the living mouse. This research sits at the intersection of computational neuroscience, neurobiology and neuroimaging. The successful candidate will have a PhD in neuroscience, biotechnology, computer science, physics, or equivalent. Training in experimental neuroscience is desirable, but not mandatory. The IIT center in Rovereto (http://cncs.iit.it/) is actively expanding its infrastructure and space for system-level neuroscience research. The center is inserted both in the vibrant community of the IIT (http://www.iit.it) and of the CIMeC center of the University of Trento (http://www.cimec.unitn.it) which specializes in cognitive neuroscience. Rovereto is conveniently located near Trento and Verona, two of the most important "Citta d'Arte" in Italy. The Trentino area is a region of Northern Italy nestled in the Dolomite Mountains, offering spectacular natural beauty, vibrant culture and exceptional quality of life. Please send your application (full CV, research statement, and names of 2 referees) by email to mailto:alessandro.gozzi@iit.it. Applications will be examined until the positions are filled. https://www.iit.it/careers/openings/opening/846-postdoctoral-positions-in-n… Alessandro Gozzi, PhD Senior Scientist, Group Leadel Functional Neuroimaging Laboratory Istituto Italiano di Tecnologia Center for Neuroscience and Cognitive Systems @ UNITN Corso Bettini 31, 38068 Rovereto, Italy Tel: +39 0464 808 701

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PhD studentship in "Computational modelling of cryopreservation"
by roman bauer Sept. 19, 2018

Sept. 19, 2018

*We are seeking a PhD student with excellent programming skills and an interest in biology. The studentship will be based at Newcastle University (UK) and benefit from collaboration with CERN.* Interested in computers as well as biology? Then this project might be what you are looking for! The aim is to use novel software and high-performance computers to model how biological tissue, including neural tissue, behaves during freezing and thawing. Cryopreservation of biological tissue is in its infancy. State-of-the-art freezing and thawing techniques lead to tissue damage in anything larger than 1-3 mm3. Above-freezing storage times of human organs range from approximately 3 to 24 hours - depending on organ - before becoming unviable. This lack of preservation capacity results in 2/3 of donor hearts and 4/5 of lungs being rejected for transplant for logistical reasons. By improving our knowledge of how cryogenic processing affects biological/neural tissue, new methodologies for cryogenic processing will be studied. To this end, you will work together with experts in the field, learn to incorporate the results in detailed 3D computer simulations, and produce novel hypotheses that will generate better methodologies. For informal enquiries please contact Dr Roman Bauer (roman.bauer(a)ncl.ac.uk ). Further details on this PhD studentship and how to apply can be found via this link: *https://www.findaphd.com/search/ProjectDetails.aspx?PJID=100152 <https://www.findaphd.com/search/ProjectDetails.aspx?PJID=100152>*

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Lecturer/Senior Lecturer in Computational Neuroscience - Ref 80046
by Chris Miall Sept. 19, 2018

Sept. 19, 2018

Lecturer/Senior Lecturer in Computational Neuroscience - Ref. 80046 The School of Psychology at the University of Birmingham wishes to strengthen our School with the appointment of a Lecturer/Senior Lecturer with specific expertise in computational modelling. The School is continuing to recruit as a result of outstanding performance in the 2014 Research Excellence Framework (REF) and major investment provided to the School by the University. The School The School of Psychology at the University of Birmingham (http://www.birmingham.ac.uk/schools/psychology/index.aspx) is one of the largest and most successful in the UK, currently ranked in the top 5 Schools in the country (REF 2014). The University of Birmingham is an equal opportunities employer and welcomes applications from currently under-represented groups. The School of Psychology has a Bronze Athena SWAN award and strives to maintain a flexible and supportive environment that enables its staff to flourish. Role purpose We welcome applicants whose research expertise will complement and extend any of our existing four Research Themes: Perception, Cognition, and Action; Mental Health and Wellbeing; Language, Interaction, and Social Cognition; Memory and Attention. One strategic objective for the School is to build on the strength of our Centre for Computational Neuroscience and Cognitive Robotics, and so we particularly welcome applicants with strength in computational science approaches, including machine learning, Bayesian modelling, and computational models of perception, categorisation and attention. We will consider a joint appointment with the School of Computer Science, which has staff whose research expertise complement and extend those of Psychology. Closing Date: 28 Oct 2018 A full job description is available in PDF format here: http://www.download.bham.ac.uk/vacancies/jd/80046.pdf -------------------------------------------------------------------------------- Professor R.C. Miall Hills Building Tel +44 121 414 2867 School of Psychology, Fax +44 121 414 4897 University of Birmingham, Mobile: 07709 586997 Edgbaston, Email: r.c.miall(a)bham.ac.uk<mailto:r.c.miall@bham.ac.uk> Birmingham B15 2TT UK Web: http://prism.bham.ac.uk ---------------------------------------------------------------------------------

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NEURON Course at SFN 2018
by Ted Carnevale Sept. 18, 2018

Sept. 18, 2018

The registration deadline for the NEURON course at the SFN 2018 meeting is Friday, October 12--less than a month from now. The online registration form is at https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html This course is suitable for applicants with a wide range of interests and expertise, ranging from experimentalists who have never done any computational modeling, to advanced modelers who want to know the latest tips for using NEURON with Python. Topics that will be covered include: --using Python and NEURON's graphical tools to build and work with models of individual cells --using the Import3d tool to import detailed anatomical neuronal data from NeuroLucida and SWC files --using the CellBuilder to specify the biophysical properties of model cells with detailed anatomical structure --expanding NEURON's library of ion channels and other biophysical mechanisms --analyzing models with the Model View tool --building network models --speeding up simulations on parallel hardware --Ted

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PhD student position in Decision Making, Sorbonne Universite, Paris (B. Girard, O. Davidenko)
by Benoît Girard Sept. 18, 2018

Sept. 18, 2018

Fully funded PhD: Cognitive and computational neurosciences studies to decipher how the social context affects individual food decisions Institution: Sorbonne Université (Paris, France) Disciplins: Computational Neurosciences, Behavioral Neuroscience, Brain Imaging Hosting laboratory: ISIR, Institut des Systèmes Intelligents et de Robotique (SU/CNRS) Thesis Supervisors: Benoît Girard (ISIR, UPMC/CNRS) , supervisor Olga Davidenko (INRA/AgroParisTech/UPSay PNCA), co-supervisor Starting date: fall 2018 Key Words: Reinforcement learning, Human eating behavior, Brain imaging Scientific environment of the project: Excessive intake of sugars and salt are linked to deleterious consequences on Human health. Current strategies to design and favor healthier options have limited effects due to their poor acceptability. SHIFT proposes a multidisciplinary approach, combining life, social and computer sciences to understand the determinants, mechanisms, and levers to modulate the acceptability of a meal option. This project will address precise alimentary situations where margins of improvement with respect to salt and sugar reduction are possible, ie. acceptability of (i) water or low energy beverages in substitution of sodas and (ii) sugar- or salt-reduced options at the end of main meals. Interdisciplinary research activities will be conducted at the populational, contextual and individual scales to decipher criteria driving the acceptability foods. SHIFT gathers 5 academic partners: The “Physiologie de la Nutrition et du Comportement Alimentaire” lab (UMR PNCA; INRA-AgroParisTech-Université Paris-Saclay, project leader), the “Institut des Systèmes Intelligents et de Robotique” (ISIR, Sorbonne Université-CNRS-INSERM), the “Mathématiques et Informatique Appliquées” lab (UMR MIA; INRA-AgroParisTech-Université Paris-Saclay), the “Alimentation et Sciences Sociales” lab (ALISS; INRA), the School of Psychology of the University of Birmingham and an industrial partner: Danone Nutricia Research (Global Nutrition Department) Work Programme: In the selection of foods as in many other decision processes, individuals tend to conform to social norms (i.e. a collectively-established acceptable behaviour). For instance, when eating with others, if individuals are offered to choose between two foods, they will take the decision that conforms to the choices made by the others guests. In some cases, for instance when all guests need to make a choice within a very short time lapse, there might be an uncertainty on this social norm. Before making their decision, individuals infer the appropriate choice from the available information of the choices made by others and after taking their decision, subjects judge the appropriateness of their own decision the basis of the overall choices of commensals. The acceptability of a food option is modulated by whether or not it is imitated by the commensals. The aim of this thesis is to explore how the social context affects individual decisions. The student will study the question from the point of view of the individual: what are the contributions of various types of social modulation (imitation, conformity to a social norm) to food choices? Fundamental to every decision is the brain’s ability to internally evaluate subjective values. The theoretical framework of this thesis, the “value-based decision-making” (Pessiglione et al., 2006, Johnson & Ratcliff, 2014), suggests that, although from an external point of view, the outcome of a decision can be reduced to a binary phenomenon (acceptance or rejection) the underlying mental computation of the value is represented as a continuous function. Our working hypotheses are that the aforementioned social modulations to food choices can be integrated in an individual-centric modeling approach of decision-making (as has been shown in simpler contexts by Burke et al. (2010)), that the influences of these various types of modulations can be disentangled, so as to help identifying the possibly specific neural substrates. In this thesis, we will design a behavioural task dedicated to investigate the different causes of social modulations, and we will then explore which brain circuits are involved, using fMRI. We will use the theoretical tools of value-based decision-making to model the mechanisms by which social modulations affect decision. This will allow us to derive time series of internal variables of the model as regressors to refine the analysis of fMRI data. The student will work to establish a fully specified model of a decision task incorporating mathematical formalizations of the social modulations. The model will be based on the so-called model-free reinforcement learning algorithms (Sutton & Barto, 1998), to which additional value update modalities will be added in order to take into account the influence of commensals. Burke, C.J., Tobler, P.N., Baddeley, M., and Schultz, W. (2010). Neural mechanisms of observational learning. PNAS 201003111. Johnson, E.J., and Ratcliff, R. (2014). Chapter 3 - Computational and Process Models of Decision Making in Psychology and Behavioral Economics. In Neuroeconomics (Second Edition), P.W. Glimcher, and E. Fehr, eds. (San Diego: Academic Press), pp. 35–47. Pessiglione, M., Seymour, B., Flandin, G., Dolan, R.J., and Frith, C.D. (2006). Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature 442, 1042–1045. Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. MIT press. To apply Applicants should send a CV, letter of motivation (max 2 pages), and references via e-mail to benoit.girard(a)sorbonne-universite.fr and olga.davidenko(a)agroparistech.fr, with [SHIFT] in the subject of the mail. Review of applicants will begin immediately, and will continue until the position is filled. The earliest start date is November 2018. -- Benoît Girard, ISIR, UPMC/CNRS Pyramide T55/65, CC 173 4 place Jussieu, 75252 Paris Cedex http://people.isir.upmc.fr/girard/ Submit your replications to ReScience: https://rescience.github.io/

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1-year position for an engineer to work in Parkinson, in the frontiers of imaging and machine learning (Bilbao, Spain)
by Jesus Cortes Sept. 18, 2018

Sept. 18, 2018

We are looking for an Engineer with skills in computer vision, programming and machine learning to collaborate in the research project entitled: "Study of the retina and the visual pathway by neuroimaging in genetic and aggressive idiopathic synucleinopathies as a model to identify phenotypes and prognostic biomarkers in idiopathic Parkinson's disease" (Principal Investigator: Iñigo Gabilondo, MD, PhD) led by the Neurodegenerative Diseases Group. The data to analyse are multimodal and longitudinal, with a sample size bigger than N=100 and consisting in retina OCT, neuroimaging (structural, functional, tensor tensor and spectroscopy), neuropsychology and clinical scales. The engineer also will work in close collaboration with the Computational Neuroimaging Group, led by Prof. Jesus M Cortes. For further information about the groups, visit: https://biocrucesbizkaia.org/web/biocruces/bc5.01and https://biocrucesbizkaia.org/bc5.08 Requirements: - Bachelor of Engineering - Good academic marks (average score higher than 7 over 10) - Experience in computer vision, programming j(Matlab, Python and / or R), machine learning and other artificial intelligence techniques - Experience with the magnetic resonance imaging analysis packages SPM, FSL and Freesurfer - Advanced English level (demonstrable with official degree - C1) - Intention to develop a PhD in Biomedicine. The contract is for 1 year, but exists the possibility to extend it to finalize the PhD Working conditions: - Duration: 12 months (extendable) - Full working day (100%) (1592 annual hours) - Estimated annual gross salary: 23,004 euros per year - Expected start date: As soon as possible Interested candidates send 2 reference letters and updated CV to igabilon(a)gmail.com and/orjesus.m.cortes(a)gmail.com

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Postdoc position: Computational modelling & primate neurophysiology of multi-stable perception
by jobraun Sept. 17, 2018

Sept. 17, 2018

Postdoc position: Computational modelling & primate neurophysiology of multi-stable perception Applications are invited for a postdoctoral fellowship with Jochen Braun in Magdeburg, Germany, and in collaboration with Kristine Krug in Oxford, UK. The research will examine the neural basis of multi-stable perception, by comparing single- and multi-unit recordings from non-human primates with computational models of hierarchical neural dynamics. Candidates must have a degree in physics (or similar), a Ph.D. in a relevant field (e.g., neuroscience, physiology, physics), and strong quantitative and writing skills. Experience with single- or multi-unit recordings from behaving vertebrates is highly desirable. The initial appointment will be for two years with the possibility of renewal. Cognitive Biology is part of a large and vibrant neuroscience community (www.neuroscience-magdeburg.de/research/professor-jazz) Magdeburg is a lively university town with a beautiful historical centre around the river Elbe and with convenient transport links to Leipzig and Berlin. To apply, please send a PDF file with a CV, a statement of research interests, and names of two references to jochen.braun(a)ovgu.de. Prof. Jochen Braun, Ph.D. Cognitive Biology Group Otto-von-Guericke University Magdeburg, Germany www.kobi-ovgu.de Prof. Kristine Krug, D.Phil. Dept. Physiology Anatomy & Genetics University of Oxford Oxford, UK www.dpag.ox.ac.uk/research/krug-group

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PhD positions in machine learning/neuroimaging available at Charité - University Medicine Berlin
by Stefan Haufe Sept. 16, 2018

Sept. 16, 2018

Dear all, PhD positions for highly motivated graduate students are available in the ERC funded research group of Stefan Haufe at the Berlin Center for Advanced Neuroimaging (BCAN) of the Charité - University Medicine Berlin, Germany. The group will develop machine learning and signal processing methods for the analysis of non-invasive brain signals (primarily EEG/MEG) and apply these methods to patient data with the aim of better understanding neurological diseases such as Parkinson's and Alzheimer’s disease. Appointments can be made for up to four years starting from January 2019 or later. Remuneration is based on the German pay scale TVL E13 (65% working time). Candidates are required to hold a very good MSc or equivalent degree in a relevant field and are expected to demonstrate extraordinary skills in at least one of the following core areas A: Mathematics and quantitative data analysis/modeling (machine learning, signal processing, statistics, numerical optimization, etc.). Experience with efficient algorithms and large data sets. B: Neuroscience (psychology, cognitive science). Knowledge of general research practices and experience in the design, execution, and statistical evaluation of studies. C: Computer science. Experience in software development, programming in Matlab/Python/C, system administration. Further required are excellent communication skills in English (written and spoken), and a genuine interest in interdisciplinary work. Prior experience with functional neuroimaging data is a plus. Successful candidates will work at Charité's historic Mitte campus in the center of Berlin, and will be embedded in a stimulating research environment. Applications should be sent by email to stefan.haufe(a)charite.de quoting the reference number DM.143.18b. In addition to cv and cover letter, applicants are encouraged to include further documentation such as references, transcripts, copies of bachelor/master theses/research papers (in English or German), links to github repositories, etc. . All documents should be contained in a single pdf.

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Postdoctoral Position in Visual & Computational Neuroscience
by Burge, Johannes Sept. 15, 2018

Sept. 15, 2018

A NIH-funded postdoctoral position is available in the lab of Johannes Burge at the University of Pennsylvania (http://burgelab.psych.upenn.edu) We use natural images, statistical learning tools, ideal observer analysis, and behavioral experiments to gain a precise understanding of the processes that support perception. We have ongoing projects across a range of topics in vision and computational neuroscience, but we tend to focus on projects directly or indirectly related to motion and depth perception. My lab is affiliated with the Computational Neuroscience Initiative at Penn, a community of top researchers working on an array of problems in sensation, perception, and cognition. Strong mathematical and programming skills are necessary, as well as strong communication skills and a record of research productivity. Familiarity designing and running psychophysical experiments via Matlab is also required. A solid background in computer graphics and knowledge of C/C++ and object oriented programming is also desirable. The lab has a high refresh-rate VPixx ProPixx projector, a haploscope driven by two high-resolution VPixx ViewPixx monitors, and a large suite of custom code for statistical learning and for the analysis of psychometric data. Applicants must have finished their Ph.D. in neuroscience, vision science, engineering, computer science, or related fields and have a demonstrated record of research productivity. The position is available immediately but the precise start date is flexible. Applicants should send a brief statement of interest, CV, and the names of three references to Johannes Burge (jburge(a)sas.upenn.edu<mailto:jburge@sas.upenn.edu>). Letters will be requested if your candidacy is being considered. Applications will be assessed as they arrive and the position will remain open until filled. Salary will be based on NIH post-doctoral rates and commensurate with experience. ======================== Johannes Burge, PhD Assistant Professor Department of Psychology Neuroscience Graduate Group University of Pennsylvania http://burgelab.psych.upenn.edu jburge(a)sas.upenn.edu (215) 573 6528

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Computer Models in 3R Research
by Peter Jedlicka Sept. 15, 2018

Sept. 15, 2018

Dear colleagues, The programme and further information for the Kick-off Symposium of the 3R Centre JLU Giessen are available online at ICAR3R.de. The minisymposium covers also the topic of computer models in 3R research. You can register on the event website or at www.xing-events.com/3R-Symposium-Giessen.html. Abstracts for the 3R poster session can be submitted until 20th September at ICAR3R(a)uni-giessen.de. 1st International Symposium: New Prospects in Interdisciplinary 3R Research Date 18th/19th October 2018 Venue Aula at Justus Liebig University Gießen Registration fee is 90 Euro. Eight hours of training are granted for the event. Best regards, Peter Jedlicka -- Peter Jedlicka, MD, PhD Professorship for Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus-Liebig-University Rudolf-Buchheim-Str. 6 D-35392 Giessen Fax: ++49 (0)641 9941359 Interdisciplinary Centre for 3Rs in Animal Research (ICAR3R) Frankfurter Straße 104 35392 Gießen www.ICAR3R.de

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PhD position: US-German Collaboration in Computational Neuroscience
by Peter Jedlicka Sept. 14, 2018

Sept. 14, 2018

Applications are invited for a 3-year PhD position in an NIH & BMBF funded US-Germany project aimed at creating biophysically realistic multi-scale computer models of TMS (transcranial magnetic stimulation)-induced changes of neuronal and synaptic properties. The position will be based at the Justus Liebig University (Giessen). This project is in collaboration with the University of Freiburg, the University of Minnesota and the Temple University (Philadelphia). The student will be using computer simulations to reproduce/predict data from electrophysiology and functional optical imaging experiments in hippocampal tissue cultures. Visits to Freiburg and to US for short-term and long-term periods of time to learn techniques and exchange information are part of the activities of this grant. The successful candidate should have a background in physics, mathematics, engineering, computational neuroscience or closely related field. Experience in scientific programming is highly desirable. The appointment will be starting in November/December 2018 or in 2019. Please submit a single pdf file including CV, list of publications, statement of research interests and names and email addresses of three references to: Prof. Dr. Peter Jedlicka; Peter.Jedlicka(a)informatik.med.uni-giessen.de The project is related to these recent publications: Lenz M, Galanis C, Müller-Dahlhaus F, Opitz A, Wierenga CJ, Szabó G, Ziemann U, Deller T, Funke K, Vlachos A (2016) Repetitive magnetic stimulation induces plasticity of inhibitory synapses. Nature Communications 7:10020 Beining M, Mongiat LA, Schwarzacher SW, Cuntz H, Jedlicka P (2017) T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. Elife 6:e26517 Lenz M, Platschek S, Priesemann V, Becker D, Willems LM, Ziemann U, Deller T, Müller-Dahlhaus F, Jedlicka P, Vlachos A (2015) Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons. Brain Structure & Function 220:3323–3337. P.S. If you are interested and will be attending Bernstein Conference in Berlin (27, 28 September), feel free to send me an email so that we can meet for an in-person interview. -- Peter Jedlicka, MD, PhD Professorship for Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus-Liebig-University Rudolf-Buchheim-Str. 6 D-35392 Giessen Phone: ++49 (0)69 179 238 6269 Fax: ++49 (0)641 9941359 NeuroScience Center Clinical Neuroanatomy (Anatomy I) Goethe-University Theodor-Stern-Kai 7 D-60590 Frankfurt am Main Fax: ++49 (69) 6301 6425 Email: jedlicka(a)em.uni-frankfurt.de

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Post-doc at FIAS - Computational Modeling of Epilepsy: Conducting Interviews at the Bernstein Conference 2018
by Peter Jedlicka Sept. 14, 2018

Sept. 14, 2018

Dear Comp-Neuro community, I would like to inform you that a post-doc position will be available in 2019 in the context of Frankfurt's new Center for Personalized Translational Epilepsy Research (CePTER). The project focuses on better understanding circuit changes and neuroimmune interactions during the development of epilepsy and is jointly lead by Prof. Jochen Triesch and me. I am attending the Bernstein Conference in Berlin (September 27-28). If you are interested, contact me by email and attach your CV so that we can meet for an in-person interview. Best, Peter Jedlicka P.S. If you are not attending the Bernstein conference, you can send your applications (single pdf file including CV, list of publications, statement of research interests and names and email addresses of three references) to jedlicka(a)em.uni-frankfurt.de and triesch(a)fias.uni-frankfurt.de. The position will be based at the Frankfurt Institute for Advanced Studies (https://fias.uni-frankfurt.de/en/) Frankfurt has a vibrant Neuroscience community and the successful candidates will work closely together with experimental labs. An ideal candidate will have obtained a PhD/Master Degree in Computational Neuroscience or closely related field and have a strong interest in applying their knowledge to problems of medical relevance. Prior experience with modeling spiking neural networks or compartmental modeling is highly desirable. Experience in modeling epilepsy, neural plasticity and neuro-immune interactions is a plus. -- Peter Jedlicka, MD, PhD Professorship for Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus-Liebig-University Rudolf-Buchheim-Str. 6 D-35392 Giessen Phone: ++49 (0)69 179 238 6269 Fax: ++49 (0)641 9941359 NeuroScience Center Clinical Neuroanatomy (Anatomy I) Goethe-University Theodor-Stern-Kai 7 D-60590 Frankfurt am Main Fax: ++49 (69) 6301 6425 Email: jedlicka(a)em.uni-frankfurt.de

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[meetings] Call for Participation : Workshop on Continual Unsupervised Sensorimotor Learning - Tokyo - September 17th
by Nguyen, Sao Mai Sept. 14, 2018

Sept. 14, 2018

*Call for Participation* Workshop on Continual Unsupervised Sensorimotor Learning at IEEE ICDL-Epirob 2018 - Tokyo - September 17th Website : http://conferences.au.dk/icdl-epirob-2018-workshop/ ============================================================ *Updated list of Invited Speakers* - Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany Title: Active Efficient Coding - David Ha, Google Brain Title: Generative World Models - Kathryn Kasmarik, University of New South Wales, Australian Defence Force Academy (UNSW Canberra), Australia Title: Computational Motivation for Learning, Optimisation and Decision Making *Schedule* 09:50 – 10:10 Welcome and introduction 10:10 – 10:50 *Invited talk: **David Ha* Title: Generative World Models 10:50 – 11:10 Coffee break *Inference and Representations* 11:10 – 11:30 *Where do I move my sensors? Emergence of an internal representation from the sensorimotor flow*Valentin Marcel, Sylvain Argentieri and Bruno Gas 11:30 – 11:50 *Active inference in continual learning* Pablo Lanillos *Sensorimotor Learning* 11:50 – 12:10 *Towards Biological Plausibility of Sensorimotor Learning Models: a Short Review* Silvia Pagliarini, Arthur Leblois, and Xavier Hinaut 12:10 – 12:30 *A Computational Model For Action Prediction Development* Serkan Bugur, Yukie Nagai, Erhan Oztop, and Emre Ugur *Application/Tools* 12:30 – 12:50 *Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning* Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michael Garcia-Ortiz, and David Filliat 12:50 – 14:10 Lunch break 14:10 – 14:50 *Invited talk. Jochen Triesch* Title: Active Efficient Coding *Intrinsic Motivation and alike* 14:50 – 15:10 *Learning Sequences of Policies by using an Intrinsically Motivated Learner and a Task Hierarchy* Nicolas Duminy, Alexandre Manoury, Sao Mai Nguyen, Cédric Buche, and Dominique Duhaut 15:10 – 15:30 *Emergent emotion as a regulatory mechanism for a cognitive task implemented on the iCub robot* Murat Kirtay, Lorenzo Vannucci, Egidio Falotico, Cecilia Laschi, and Erhan Oztop *Application/Tools* 15:30 – 15:50 *Towards Life Long Learning: Multimodal Learning of MNIST Handwritten Digits* Eli Sheppard, Hagen Lehmann, G. Rajendran, Peter E. McKenna, Oliver Lemon, and Katrin S. Lohan 15:50 – 16:10 Coffee break 16:10 – 16:40 *Invited talk: Kathryn Kasmarik* Title: Computational Motivation for Learning, Optimisation and Decision Making 16:40 – 17:40 Discussion 17:40 – 18:00 Conclusions and farewell ============================================================ *Scope* As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance. They include multi-task learning, multimodal sensorimotor learning in open worlds and lifelong adaptation to injury, growth and ageing. In this workshop we will discuss the developmental processes involved in the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The discussion will be strongly motivated by behavioural and neural data. We hope to provide a discussion friendly environment to connect with research with similar interest regardless of their area of expertise which could include robotics, computer science, psychology, neuroscience, etc. We would also like to devise a roadmap or strategies to develop mathematical and computational models to improve robot performance and/or to attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. The primary list of topics covers the following (but not limited to): - Emergence of representations via continual interaction - Continual sensory-motor learning - Action-perception cycle - Active perception - Environmental-driven scaffolding - Intrinsic motivation - Neural substrates, neural circuits and neural plasticity - Human and animal behaviour experiments and models - Reinforcement learning and deep reinforcement learning for life-long learning - Multisensory robot learning - Multimodal sensorimotor learning - Affordance learning - Prediction learning *Organizers:* Nicolás Navarro-Guerrero, Aarhus University, Aarhus, Denmark Sao Mai Nguyen, IMT Atlantique, France Erhan Öztop, Özyeğin University, Turkey Junpei Zhong, National Institute of Advanced Industrial Science and Technology (AIST), Japan ============================================================ Nguyen Sao Mai nguyensmai(a)gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr

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PhD student position in neural data analysis, University of Edinburgh (Arno Onken)
by Arno Onken Sept. 14, 2018

Sept. 14, 2018

A fully funded PhD position is available in the group of Arno Onken at the University of Edinburgh, on the development and application of novel methods for analysing multi-modal and multi-scale neural recordings. The group collaborates closely with the experimental groups of Nathalie Rochefort (University of Edinburgh, joint EPSRC-funded project to start in March) and Shuzo Sakata (University of Strathclyde). Potential projects are interdisciplinary, bridging computational neuroscience, statistical modelling and machine learning. The successful applicant will join the Institute for Adaptive and Neural Computation (http://www.anc.ed.ac.uk/) which hosts strong research groups in the relevant fields. Applicants should have a strong quantitative background (e.g. math, statistics, computer science, physics, computational neuroscience), good programming skills and a keen interest in interdisciplinary research. A background in neuroscience is desirable, but not essential. The position is available to UK/EU applicants. Other excellent applicants may be eligible for international postgraduate scholarships - please get in touch. The start date is flexible. Interested applicants should submit their application to the Institute for Adaptive and Neural Computation: https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&ed… For further information, please contact Arno Onken (aonken(a)inf.ed.ac.uk) -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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