- Comp-neuro - lists.cnsorg.org

tenure track faculty searches at Georgia Tech

by Rozell, Christopher J

There are a number of tenure track faculty searches at Georgia Tech that may be of interest to this community. While only some are targeting neuro specifically, many have neuro as an area of specific interest. The ads are aggregated here: http://neuro.gatech.edu/career For this community, I would draw your attention to the searches in computationally-oriented departments such as Electrical & Computer Engineering (ECE), Math, and Computational Science and Engineering (CSE). Georgia Tech's campus is in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. The neuroscience community is strong and rapidly growing both at Georgia Tech and at our local partners Emory (including Emory Medical School) and Georgia State University. In particular, there is a specific current and historical strength in computational neuroscience in the local area, with a strong and collegial community. More info about our local community can be found here: http://neuro.gatech.edu/ Please contact me if you have questions. regards, chris rozell

Oct. 15, 2018

Multiple Postdoctoral Positions in Computational Neuroscience Available at Boston University, and beyond.

by Mark Kramer

Multiple Postdoctoral Positions in Computational Neuroscience Available at Boston University, and beyond. Three, NIH-supported postdoctoral positions in computational neuroscience are available immediately at Boston University in the labs of Uri Eden and Mark Kramer. The positions center on two projects: * Project: Measure, model, and modulate cross-frequency coupling. - Team: An interdisciplinary team of researchers at BU (Mark Kramer and Uri Eden) and the University of Minnesota (Alik Widge). - Goals: (i) Develop new statistical modeling methods to assess cross-frequency coupling (CFC) in real-time, and deploy these tools in in vivo animal experiments. (ii) Develop simple, biophysical models to identify candidate mechanisms of CFC. * Project: Assess human seizure dynamics across spatial and temporal scales. - Team: An interdisciplinary team of researchers at BU (Mark Kramer and Uri Eden) Harvard/MGH (Sydney Cash), and Columbia University (Catherine Schevon). - Goals: (i) Analyze human seizure activity in a unique data set, consisting of invasive brain voltage recordings across spatial scales - from single units to large brain areas, and temporal scales - from high-frequency oscillations to slow brain rhythms. (ii) Build biophysical models to probe how human seizures start, propagate, and stop. For either project, the successful candidate will have a strong background in statistics and computer programming; experience in interdisciplinary neuroscience research and biophysical modeling is preferred, although not essential. The positions are based at Boston University in the labs of Uri Eden and Mark Kramer. Both projects are highly interdisciplinary and will involve frequent and extensive interactions with neuroscientists at UMN (Alik Widge), or clinicians at Harvard/MGH (Sydney Cash) and Columbia University (Catherine Schevon). To apply, or for more information about the position, please send an email to Mark Kramer (mak(a)math.bu.edu) Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Boston University offers a vibrant community of statistical, mathematical, and neuroscience faculty and students, and many opportunities for collaboration within and outside the University.

Oct. 14, 2018

Faculty Position: Applied Mathematics Northwestern University

by Hermann Riecke

Northwestern University invites applications for a full-time, *tenure-track faculty position in**Applied Mathematics* to begin in September 2019 in the Department of Engineering Sciences and Applied Mathematics (http://www.mccormick.northwestern.edu/applied-math/) Hiring will be focused on the assistant professor level, although exceptional applicants at all levels will be considered. Candidates in *all fields of applied mathematics, science, and engineering* with a demonstrated ability to conduct *high-impact interdisciplinary research* *in applied mathematics* are encouraged to apply. Northwestern University offers a stimulating environment, encouraging collaborations across departments and schools. Collaborations of our current faculty span multiple departments in the McCormick School of Engineering, the Weinberg College of Arts and Sciences, and the Feinberg School of Medicine in areas including materials science, earth sciences, fluid dynamics, complex systems, microbiology, neuroscience, and social systems, to highlight a few. Our faculty actively participate in interdisciplinary centers such as the Northwestern Institute on Complex Systems, the Center for Synthetic Biology, the Center for Hierarchical Materials Design, the Center for Interdisciplinary Exploration and Research in Astrophysics, and the Center for Water Research, among others. The recently funded NSF-Simons Center for Quantitative Biology is a joint initiative primarily between the Department of Engineering Sciences and Applied Mathematics and the Department of Molecular Biosciences. We are seeking candidates whose research has strong connections to applications and who can strengthen and/or broaden the research activities of the department. Requirements include a PhD. Duties involve research and teaching. Submit applications electronically at https://facultyrecruiting.northwestern.edu/apply/MzE2.The application package should include a curriculum vita, a statement of research accomplishments and interests, a statement of teaching experience and philosophy, and 3-4 selected publications. In addition, the applicant should arrange for at least three, but no more than four letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after their names are entered in the online application system. Questions may be sent to esam-facultysearch(a)northwestern.edu (Subject line: 2019 Faculty Search). Review of applications will begin November 15, 2018 and will continue until the position is filled.

Oct. 13, 2018

Opportunities to collaborate with the EPSRC Centre for Predictive Modelling in Healthcare

by Purcell, Sarah

Dear Colleagues, I would like to highlight the following opportunities for collaboration with the EPSRC Centre for Predictive Modelling in Healthcare at the University of Exeter, UK: The EPSRC Centre for Predictive Modelling in Healthcare<http://emps.exeter.ac.uk/mathematics/research/pmh/> brings together a world-leading team of mathematicians, statisticians and clinicians with a range of industrial partners, people with lived experience of chronic health conditions and other stakeholders to focus on the development of new methods for managing and treating noncommunciable disorders using predictive mathematical and statistical models. Our focus is on 'dynamic' health conditions such as autoimmune disease, cardiac arrhythmias, diabetes and epilepsy. We aim to revolutionise the clinical management of these disorders through better understanding the fundamental mechanisms of these disorders, as well as the development of mathematically-underpinned decision support systems. Visitor programme The Centre runs a lively visitor programme where both short term seminar speakers and longer term visitors can interact with the team. Whether you are an academic, a student, a healthcare professional or involved in healthcare technologies, if you are interested to visit or work with us, please get in touch by completing our visitor contact form<https://emps.exeter.ac.uk/mathematics/research/pmh/visitors/>. Visiting fellowship We have some funding available to support the visits of interested parties who will contribute to the work of the Centre. Please use the contact form<https://emps.exeter.ac.uk/mathematics/research/pmh/visitors/> to tell us more about your plans, the problem you would like to solve and who you would like to work with. Requests for funding will be dealt with on an individual basis. For further information or any queries, you can also contact Sarah Purcell<mailto:s.purcell@exeter.ac.uk> (Centre Manager). Best wishes, Sarah Purcell Centre Manager EPSRC Centre for Predictive Modelling in Healthcare University of Exeter Tel: 01392 726447 Web: www.exeter.ac.uk/pmh <http://www.exeter.ac.uk/pmh> Twitter: twitter.com/CPMH_UoE

Oct. 12, 2018

PhD position in statistical methods in neuroscience

by Benjamin Dunn

A PhD position is available in statistical methods in neuroscience at the department of Mathematical Sciences, NTNU, and in collaboration with Kavli Institute for Systems Neuroscience / Centre for Neural Computation, NTNU (Norway). The project will focus on parameter estimation, hypothesis testing and model selection in large population neural data with detailed 3D tracking of animal behavior. Additional details are available at https://www.jobbnorge.no/ledige-stillinger/stilling/156881/phd-fellowship-i… or contact us at: Mette Langaas, Mette.Langaas(a)ntnu.no Benjamin Dunn, Benjamin.Dunn(a)ntnu.no The deadline for applying is October 15th.

Oct. 12, 2018

Multiple open-rank tenure-track positions open at the AI Institute of Stony Brook University

by Memming Park

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/

Oct. 11, 2018

Faculty position in computational neuroscience at University of Illinois

by Sutton, Brad

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.

Oct. 10, 2018

Advanced Research Fellowships - Artificial Intelligence

by Peter Andras

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/

Oct. 10, 2018

COSYNE 2019: Abstract submission is now open; Call for workshop proposals; Cosyne Mentoring Forum

by Tomas Hromadka

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

Oct. 10, 2018

[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems

by Pierre-Yves Oudeyer

Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: https://goo.gl/NAwBfD Featuring dialog: === "Curiosity as Driver of Extreme Specialization in Humans" == Dialog initiated by Celeste Kidd with responses from: Elizabeth Bonawitz, Maya Zhe Wang, Brian Sweis, Benjamin Hayden, Susan Engel, Abigail Hsiung, Shabnam Hakimi, Alison Adcock, Moritz Daum, Arjun Shankar, Tobias Hauser, Goren Gordon and Perry Zurn == Topic: Curiosity-driven learning is probably one of the most fundamental mechanisms in human learning, and yet it is also probably one of the least understood. Broadly construed as spontaneous exploration and engagement with activities or material without any extrinsic goal (as opposed to searching for information useful for an extrinsic goal), many mysteries remain to be uncovered. What are the causal links between curiosity and learning? How does prior knowledge about a topic or an activity relates to curiosity about this topic? What is the role of curiosity in life-span development? Can human curiosity explain the apparently unique tendency of humans for extreme specialization? Reversely, how do different forms of curiosity (diversive or specific) evolve as children grow up and become adults? While early computational models of curiosity propose theoretical approaches to understand their cognitive mechanisms, how can we understand the affective/ emotional dimensions of curiosity? And how has the linguistic concept of “curiosity” evolved in occidental culture? Call for new dialog: === « Leveraging Adaptive Games to Learn How to Help Children Learn Effectively" == Dialog initiated by George Kachergis == Topic: How can one achieve efficiently “translational educational sciences” and get these principles used in real-world large-scale educational technologies? In this dialog, Georges Kachergis highlights challenges related to collaborations between cognitive scientists and game developers, how to deploy real world experiments, and how to enable scientific understanding when many variables cannot easily be controlled? Those of you interested in reacting to this dialog initiation are welcome to submit a response by December 15th, 2018. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau, Editorial Assistant Cognitive NeuroRobotics Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa Japan Email: fabien.benureau [at] oist [dot] jp

Oct. 10, 2018

PhD project in computational modeling of Alzheimer’s disease at MCEN/BCAM, Bilbao, Spain

by Maurizio De Pitta

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/

Oct. 9, 2018

Tenure-Track Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France

by boris gutkin

> 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 > >

Oct. 7, 2018

PhD studentship: Rapid Bacteria Colony Counting Algorithm Development

by Steuber, Volker

PhD Studentship: Rapid Bacteria Colony Counting Algorithm Development ?Biocomputation Research Group , University of Hertfordshire and Synoptics Limited, Cambridge Programme Description The University invites applications for a PhD student to join our Hertfordshire Knowledge Exchange Partnership (HKEP) scheme. This four-year project requires a PhD student to undertake a collaborative research project with support from University academic supervisor(s) and company scientists. The project begins with a Knowledge Exchange year in which you are based in the company. Successful completion of the first year will require the submission of a scientific report, research proposal and an oral examination. The successful candidate will then begin a three-year PhD research project in an area of interest to the company. Start date: January 2019 Duration: Four years Company: Synoptics Limited, Cambridge Stipend: Starts at £15,220 per annum plus approved expenses. All students will also receive a maximum contribution towards their individual tuition fees that is equivalent to the Home/EU student fee in each year of registration. Project Overview: Bacterial colony counting is widely used in both industry and research laboratories in a wide range of applications; these include quality control, environmental monitoring, immunological studies and medical testing. The number of colonies on an agar plate can be used to estimate the number of viable bacteria (total viable count) present in a test sample. This can then be used as an indicator of the cleanliness of a surface, the sterility of a product or the presence of a bacterial infection. Traditionally, colony counting was performed manually or using a light box which was time-consuming and prone to human error. The advent of automated colony counters, which use sophisticated algorithms to detect and count colonies based on shape or colour, has overcome these drawbacks. The popular technologies exploited for bacteria colony counting are edge detection techniques for image processing. However, a number of challenges remain in automated colony counting: identifying and splitting touching colonies, background noise, colony density variance etc. Hence, more advanced and sophisticated techniques need to be developed to cope with these issues while taking efficiency into account. The aim of this project is to propose and implement new algorithms which are robust to noise for rapid bacterial colony detection and counting. Supervisor Information Dr Na Helian Dr Yi Sun Dr Peter Lane Mr Richard Hopwood Application Process For further information and to apply for this role please email hsp(a)herts.ac.uk. The deadline for applications is 31st October 2018. Informal enquires should be addressed to Dr. Na Helian (n.helian(a)herts.ac.uk) Please note that applications sent directly to these address will not be accepted.? https://www.jobs.ac.uk/job/BNE643/phd-studentship-rapid-bacteria-colony-cou…

Oct. 5, 2018

Research Assistant Professor opening for NeuroMorpho.Org IT Manager position

by Ruben Armananzas Arnedillo

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

Oct. 4, 2018

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

by Zachary Kilpatrick

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.

Oct. 3, 2018

Open Rank Faculty Position, Department of Mathematics, City College of New York, CUNY

by Asohan Amarasingham

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.

Oct. 2, 2018

Frontiers Research Topic on Neuroscience of response inhibition

by Vassilis Cutsuridis

Announcement of the Frontiers Research Topic --------------------------------------------------------------------------------------------------------------------------------------------------------- Neuroscience of response inhibition: bridging scales with experiments and computational modelling ---------------------------------------------------------------------------------------------------------------------------------------------------------- Response inhibition is the ability to override a planned or an already initiated response. It is the hallmark of executive control, because it allows people to flexibly adjust their behaviour according to their goals. In everyday life, there are many examples of response inhibition, such as stopping yourself when you are about to cross a street where a speeding car is approaching. Response inhibition deficits favour impulsive behaviours which may be detrimental to an individual’s life and it has been linked to disorders such as attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, schizophrenia, and substance abuse disorders. In this Research Topic, we welcome papers critically evaluating the existing methods of response inhibition, introducing new experimental and theoretical approaches that probe particular parts of brain circuitry and unravel neuronal mechanisms as candidates of impulse control. We welcome scientists from different fields: from neuroscience of microcircuits to systems neuroscience of large-scale networks and behavioural neuroscience. The work can be experimental or computational. Commentaries and reviews on innovative key issues of response inhibition are also welcome. We invite you to submit a manuscript until November 30, 2018. 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 Vassilis Cutsuridis: vcutsuridis(a)gmail.com <digitalesbad(a)gmail.com>). The organisers Vassilis Cutsuridis (University of Lincoln) Ganesan Venkatasubramanian (National Institute of Mental Health and Neurosciences, Bangalore, India)

Oct. 2, 2018

New temporal multiple kernel learning method for characterizing relating SC to connectivity dynamics and Brain state switching

by Dipanjan

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

Oct. 2, 2018

Several Openings, New Lab. Systems Neuroscience.

by Carmen Varela

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> *

Oct. 2, 2018

PhD opportunities at the Universities of Bath and Exeter

by Purcell, Sarah

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 ________________________________________________________________

Oct. 2, 2018

Postdoctoral Fellow in Multifactorial Brain Analysis of Amyotrophic Lateral Sclerosis

by Yasser Iturria Medina

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/

Oct. 2, 2018

Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab

by Aaron Seitz

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 **************************************************

Oct. 1, 2018

Tenure-track faculty position in Computation Neuroscience at Western University, Canada

by Jorn Diedrichsen

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

Sept. 29, 2018

Postdoctoral research in theoretical neuroscience

by Brent Doiron

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

Sept. 29, 2018

Faculty position in computational neuroscience at the University of Pittsburgh

by Brent Doiron

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

Sept. 29, 2018

job opening in neural dynamics and control

by Obermayer, Klaus, Prof. Dr.

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

Sept. 28, 2018

Two PhD positions in computational and cognitive neuroscience

by Alireza Soltani

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

Sept. 28, 2018

New ebook: Neural Information Theory

by James V Stone

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

Sept. 27, 2018

EEG time-varying networks - paper & code

by Williams, Nitin J

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

Sept. 27, 2018

Workshop announcement: The HBP CodeJam #9 Workshop

by Andrew Davison

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)

Sept. 27, 2018

Postdoctoral position in memory, sequence replay, and sleep

by Kamran Diba

<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).

Sept. 26, 2018

CFP: The OMG-Empathy Prediction Challenge

by Pablo Barros

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/

Sept. 26, 2018

Postdoc in computational neuroscience/mathematical biology

by Rubchinsky, Leonid L

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) ***********************

Sept. 26, 2018

Postdoctoral positions in computational neuroscience

by Maxim Bazhenov

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study cellular and circuit level mechanisms behind large-scale brain electrical activity. This project involves close collaboration with experimental laboratories. The ultimate goal of the work is to develop detailed multi-scale models of how human MEG and EEG are generated, including channels, synapses, neurons, and networks. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be used to understand network dynamics behind MEG and EEG rhythms. Specific focus of the project is on sleep rhythms. This project will be developed in close collaboration with other projects in the lab focusing on the role of sleep in memory and learning. Qualified applicants are expected to have experience in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ , PYTHON, MATLAB is required. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

Sept. 25, 2018

Software Developer / Research Associate

by Stephanie Jones

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/>

Sept. 24, 2018

Postdoctoral researchers - computational modeling, EEG, TMS

by Stephanie Jones

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/>

Sept. 24, 2018

Workshop: High Performance Computing in Neuroscience

by Carnevale, Nicholas

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

Sept. 24, 2018

Postdoc position in Geometric Methods for Machine Learning and Deep Learning at RIST

by Luigi Malagò

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Geometry of Latent Spaces, Optimization over Manifolds, Information Geometry, Natural Gradient, Riemannian Geometry *Application deadline*: 10 October 2018 (applicants are encouraged to apply earlier) *Salary*: around 2200 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group https://rist.ro/en/teams.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, using geometric methods based on Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 10 October 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

Sept. 24, 2018

Neuro-Inspired Computational Elements (NICE) 2019 Abstract Submission Open!

by Aimone, James Bradley

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

Sept. 24, 2018

BrainScaleS, SpiNNaker and NES: EITN workshop 'Are we building the right user-level documentation?'

by Martina Reske

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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Sept. 24, 2018

Assistant Professor positions at Keele University

by Peter Andras

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*

Sept. 23, 2018

New, introductory, tutorial-based textbook

by Paul Miller

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

Sept. 22, 2018

COSYNE 2019: Meeting announcement and Call for workshop proposals

by Tomas Hromadka

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

Sept. 21, 2018

LACONEU 2019 - last days to apply

by Patricio Orio

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

Sept. 20, 2018

AMAM 2019, Adaptive motion in animals and machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland

by Auke Ijspeert

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 -----------------------------------------------------------------

Sept. 20, 2018

Postdoctoral researchers - multimodal fMRI

by Alessandro Gozzi

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

Sept. 20, 2018

PhD studentship in "Computational modelling of cryopreservation"

by roman bauer

*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>*

Sept. 19, 2018

Lecturer/Senior Lecturer in Computational Neuroscience - Ref 80046

by Chris Miall

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 ---------------------------------------------------------------------------------

Sept. 19, 2018

NEURON Course at SFN 2018

by Ted Carnevale

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

Sept. 19, 2018

PhD student position in Decision Making, Sorbonne Universite, Paris (B. Girard, O. Davidenko)

by Benoît Girard

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/

Sept. 18, 2018

1-year position for an engineer to work in Parkinson, in the frontiers of imaging and machine learning (Bilbao, Spain)

by Jesus Cortes

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

Sept. 18, 2018

Postdoc position: Computational modelling & primate neurophysiology of multi-stable perception

by jobraun

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

Sept. 17, 2018

PhD positions in machine learning/neuroimaging available at Charité - University Medicine Berlin

by Stefan Haufe

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.

Sept. 16, 2018

Postdoctoral Position in Visual & Computational Neuroscience

by Burge, Johannes

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

Sept. 15, 2018

Computer Models in 3R Research

by Peter Jedlicka

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

Sept. 15, 2018

PhD position: US-German Collaboration in Computational Neuroscience

by Peter Jedlicka

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

Sept. 14, 2018

Post-doc at FIAS - Computational Modeling of Epilepsy: Conducting Interviews at the Bernstein Conference 2018

by Peter Jedlicka

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

Sept. 14, 2018

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

by Nguyen, Sao Mai

*Call for Participation* Workshop on Continual Unsupervised Sensorimotor Learning at IEEE ICDL-Epirob 2018 - Tokyo - September 17th Website : http://conferences.au.dk/icdl-epirob-2018-workshop/ ============================================================ *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

Sept. 14, 2018

PhD student position in neural data analysis, University of Edinburgh (Arno Onken)

by Arno Onken

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.

Sept. 14, 2018

Call for applications to participate in NSF funded Workshop on Future Frameworks of Theoretical Neuroscience

by Fidel Santamaria

NSF Funded workshop - Future Frameworks of Theoretical Neuroscience, Feb 4-7, 2019, San Antonio, TX. Call for applications to participate: graduate students, postdoctoral fellows & junior assistant professors As it is widely known, the objective of the BRAIN initiative has been to develop novel neurotechnologies, which will provide vast streams of experimental data in the coming years. For the neuroscience community as a whole to benefit from these advances, theoretical frameworks that span across scales, systems, and species need to be developed. The main challenge for the theoretical neuroscience community is to design these frameworks with a long-term vision to anticipate and guide the development of new techniques and experiments. We view this as a collective effort. Another of our objectives is for the theoretical neuroscience community to identify leading areas of scientific inquiry, key theoretical questions, and to discuss methodological ways to address these questions. This will highly contribute to shape the future research endeavors towards the understanding of brain function across interacting levels of organization, scales, and range of species. This will also help the funding agencies to establish programs and priorities. The workshop will take place in San Antonio, TX from Feb 4-7, 2019. The NSF will cover the participant's transportation (up to $500, economy class, no upgrades) and lodging (up to 4 nights) for a selected group junior researchers. If interested, please submit a CV and two paragraphs describing the reason(s) to participate in the workshop (1 page maximum, divided into two paragraphs, one titled 'present work' and another one titled 'motivation'). While all the neuroscience community is encouraged to apply we are also looking for people outside neuroscience with fresh ideas that would like to participate. Please send your application to fidel.santamaria(a)utsa.edu<mailto:fidel.santamaria@utsa.edu> with the subject line [Framework Workshop] Application no later than October 10, 2018. As a participant, we would like you to contribute to (1) the description of the present framework(s) of theoretical neuroscience; and (2) the definition of a roadmap for the development of future theories of brain function across scales. In practice, we would like you to contribute to identifying key questions and organizing principles across scales of biological organization that share common theoretical foundations. We also would like you to interact with other participants to develop strategies to advance the field in order to "...transform our understanding of the linkages between neural activity and cognition and behavior across different systems, environments, and species." We would like to emphasize that the objective of the workshop is not to describe current projects but the ideas and theories that are yet to be developed and are needed to move the field forward. While the meeting will have a component of talks we will devote most of the time to organizing formal and informal discussions among the participants. We expect the participants to collectively produce a series of papers describing the identified fields, state of the art and present/future questions so these can reach the broader community and foster additional discussions and interactions. We will also generate a white paper to distribute to public and private funding agencies that describe our views of the future frameworks of theoretical neuroscience. More information available at http://www.utsa.edu/SantamariaLab/Workshop/ Horacio G. Rotstein (NJIT) & Fidel Santamaria (UTSA) Organizers _______________________________________________________________________________ Fidel Santamaria, PhD Associate Professor Department of Biology University of Texas at San Antonio www.utsa.edu/SantamariaLab Office: BSB 1.03.30 Tel +1(210) 458 6910

Sept. 13, 2018

Professorship in Auditory Neuro-Engineering (Ghent University)

by Sarah Verhulst

Dear List, We have an opening for a research professorship in Auditory Neuro-engineering to foster interdisciplinary approaches to hearing science within the Faculties of Engineering and Medical sciences at Ghent University. The succesful candidate will become a member of the Ghent Auditory Science Platform (www.gasp.ugent.be)<http://www.gasp.ugent.be)/>. Kind Regards, Sarah Verhulst --- Sarah Verhulst Associate Professor T +32 9 33 14 844 Dept. Information Technology Waves Technology Campus, iGent, Technologiepark 15, 9052 Zwijnaarde (BE) T secretariaat +32 9 264 33 21 / F +32 9 264 35 93 www.ugent.be<https://www.ugent.be/> www.waves.intec.ugent.be e-maildisclaimer<https://helpdesk.ugent.be/e-maildisclaimer.php> More information and application: https://www.ugent.be/nl/onderzoek/carriere/21zap.htm Job Title: Professor in Auditory Neuro-engineering Req ID 11671 - Posted 12/09/2018 - Professorial staff - 100% - Faculty of Medicine and Health Sciences → Apply until 12/10/2018 23:59 CET → Discipline: Auditory Neuro-engineering → 100% Associate professor / Full professor / Senior full professor → Reference number: 201806/ZAP-21/65-01 ABOUT GHENT UNIVERSITY Ghent University is one of the most important education and research institutions in the Low Countries. On a daily basis, over 9,000 staff members and 41,000 students implement its motto "Dare to Think". Ghent University's mission statement is characterised by qualitative education, internationally renowned research and a pluralistic social responsibility. ASSIGNMENT Within her vision on the importance of inter-disciplinary research, Ghent University wishes to stimulate cooperation between different faculties. One of the initiatives that is deployed in this context is the Ghent Auditory Science Platform (GASP; www.gasp.ugent.be) Auditory science and auditory medicine are increasingly engineering driven. Hence, GASP combines expertise from various medical and engineering disciplines with an additional touch of psychology. This inter-faculty collaboration will be supported by a full time (100%) associate or full professor in auditory neuro-engineering. The professor in auditory neuro-engineering will further develop research in auditory science at the interface between technology and neurology. The focus will be on the possibility to couple electronic and opto-electronic components more effectively to the auditory nerve, the auditory brainstem and cortex. By extending the team of professors that conducts research in the area of auditory science, Ghent University wants to strengthen its position as a leading research institute in this area. This position is part of a unique strategic investment by Ghent University: 21 new professorships are embedded in interdisciplinary consortia, designed to generate a significant societal impact with their research. For more information, see: www.ugent.be/21zap Academic education You lecture a limited number of course units in the discipline of audiology and biomedical engineering. These courses are situated in the faculty of medicine and the faculty of engineering. In addition you will be the promoter of Master dissertations and PhDs in biomedical sciences, audiology, and engineering. Academic Research You conduct research in the discipline of auditory neuro-engineering. In particular you study the interaction between human substrate – auditory nerve/brainstem/cortex – and high tech chips and electronic and opto-electronic implants. In this way you contribute to the innovation goals of the GASP team in relation to: * biological strategies for use in inner ear therapeutics: gene therapy, stem-cell therapy, and molecular therapy; * auditory nerve fiber stimulation, resynchronizing, brain-computer interfacing; * stimulating brain plasticity (e.g. post deafness, in tinnitus and/or decreased sound tolerance cases), and individualized interventions; * cochlear nerve sensing and brainstem processing (auditory processing on implanted chip); * neuro-acoustic phenotype determination allowing for personalized hearing deficit treatment when needed. Academic services You take part in the internal and external service provision of the Ghent Auditory Science Platform. PROFILE Experience * You have already conducted eminent academic research in the given discipline, which is clearly reflected in publications in high-quality academic journals and peer-reviewed books; * You are capable of initiating, supervising and acquiring the necessary funding for academic research; * You are didactically skilled to teach university students to develop academic competences; * Recommended are: * International mobility, among other things thanks to research stays at institutions external to the one where you acquired your highest academic degree; * Positively evaluated experience in provided or organized academic lecturing; * Professionalisation of education. Skills / Attitude * You are quality-oriented; * You take initiative; * You have leadership qualities; * You have good communication skills (English proficiency) and make connections with colleagues and industry. Admission requirements * You hold a thesis-based doctorate or a diploma or certificate that is recognised as equivalent (article V.20 Codex Higher Education) in biomedical sciences, biomedical engineering, medical physics, neuro-engineering, or doctorate in medicine with a strong emphasis on technical aspect, or a doctorate in electronics/ICT engineering or engineering physics/mathematics with a strong emphasis on biomedical aspects. Upon evaluation of a foreign (non-EU) diploma, a certificate of equivalence may still have to be requested at NARIC. If this is the case, we advise you to initiate this recognition procedure as soon as possible. You are required to have the recognition no later than on the date of your appointment. * You have at least two years of postdoctoral experience on 2 October 2018. This term of two years is determined by the date written on the above-mentioned required diploma. APPOINTMENT INFORMATION Depending on the specific profile of the selected candidate, the degree of associate professor or full professor is awarded. This will be decided by the University Board as proposed by the Faculty Board. * We offer you a permanent appointment in the starting grade of associate professor or full professor, without prejudice to the possibility of a temporary appointment offered in article V.28 of the Codex of Higher Education. The recruitment is possible no sooner than 1 February 2019. OUR OFFER Ghent University reserves a budget of €200.000 in its Special Research Fund for each of the newly appointed professors under the strategic “21ZAP” scheme, equaling the value of 1 PhD student for 4 years. This research budget is allocated out of competition but is subject to approval of the applicant’s research proposal by Ghent University’s Research Council. Ghent University is committed to properly welcoming new professorial staff members and offering them appropriate guidance. The basic teacher training and courses of 'Dutch' and 'English' for foreign-speaking lecturers are only a few examples of our wide range of training and education opportunities. Furthermore, each Ghent University staff member can count on a number of benefits such as a bike allowance, reimbursement of public transport commuting costs, daycare, a wide range of sports facilities and EcoCheques. A complete overview of all our employee benefits (in Dutch). Ghent University also invests in welcoming international professorial staff. It offers various housing options, a relocation bonus, the International School for school-aged children (with a discount on the tuition fee), support when registering at the City of Ghent, support with the procedure of family reunification and other administrative matters in connection with moving to Ghent. More information can be found on www.ugent.be/en/living and www.ugent.be/en/staff. GENDER AND DIVERSITY Ghent University conducts an equal opportunities policy and encourages everyone to apply. Ghent University also strives for a gender balance. Female applications are thus especially welcomed. SELECTION PROCEDURE After the final application date, all received applications will be sent to the assessment committee assembled for this vacancy. This committee will first evaluate the application files. Therefore it will match all elements of the file against the required expertise for the position in terms of education, research and scientific service. Based on this deliberation, relevant candidates will be shortlisted to be invited for further selection (interview, possible presentation or test lecture …). Afterwards, the committee will rank the suitable candidates and present this ranking to the Faculty Board. The advice of the Faculty Board will then be presented to the University Board for approval. Candidates are asked to further discuss their top 5 most important publications or other academic achievements with the highest impact. Next to academic publications, the candidate is thus also able to show merit of knowledge transfer by academic dissemination, social valorisation, public awareness, seminars or conference presentations. These competences are also taken into account when evaluating the candidates. Candidates are also asked to prepare a research proposal. The research proposal can be taken into account by the selection committee in order to assess the candidate’s potential contribution to the consortium; nevertheless, the evaluation of the proposal itself by the Research Council will not be initiated until after the professorship appointment in order to award the €200,000 research budget. The evaluation of the required international mobility is broad and partly takes the gender perspective into account, thus not only considering longer stays abroad by also other forms of internationalisation. Pregnancy leave, prolonged sick leave, parental leave, filial leave or other forms of absence are taken into account when evaluating the available time for the realisation of academic output. HOW TO APPLY Apply online through the e-recruitment system before the application deadline (see above). We do not accept late applications or applications that are not sent through the online system. Your application must include the following documents: * In the field ‘Cv’: the professorial staff application form (+ all annexes mentioned in the form), merged into one pdf file. * In the field ‘Cover letter’: your application letter in pdf format * In the field ‘Diploma’: a transcript of your doctoral degree. If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages. * In the field ‘Certificate of equivalence’: only for diplomas awarded outside the European Union: certificate of equivalence (NARIC) (if already in you possession) Note that the maximum file size for each field is 10 MB. MORE INFORMATION The strategic goals of this vacancy. For further information regarding these vacancies, please contact Prof. Ingeborg Dhooge (ingeborg.dhooge(a)UGent.be, +32 332 23 31) at the Faculty Medicine and Health Sciences, Department of Otorhinolaryngology or Prof. Dick Botteldooren (dick.botteldooren(a)UGent.be, +32 9 264 9968) at the Faculty of Engineering and Architecture, Department of Information Technology.

Sept. 13, 2018

Postdoc positions at Harvard in theoretical neuroscience and brain-inspired machine learning

by Cengiz Pehlevan

Postdoctoral positions are available in Cengiz Pehlevan’s theoretical neuroscience group at Harvard University. We are looking for candidates with strong analytical and numerical skills, and backgrounds in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields. Our group seeks to understand the algorithms of the brain and their neural implementation. Current interests include, but are not limited to, unsupervised learning of sensory representations, reinforcement learning of motor skills, decision making and brain-inspired machine learning. For recent publications, see pehlevan.seas.harvard.edu <https://pehlevan.seas.harvard.edu/>. Successful candidates will join a vibrant community of researchers at Harvard and take part in collaborations with experimental labs across the campus. The position is funded for multiple years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. To apply, please email a short statement of research interests, a CV, and the contact information of at least two references to Cengiz Pehlevan (cpehlevan at seas.harvard.edu) with the subject line “Theory Postdoctoral Fellow”. Review of applications will begin immediately. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Sept. 12, 2018

PhD positions in Electrophysiology / Brain-machine interface at U. Sherbrooke, Canada (co-supervision with U. of Minnesota, USA)

by Jean Rouat

Auditory implants aim at restoring audition by stimulating a specific structure of the auditory system with an electrode array. The most successful auditory implant, the cochlear implant that stimulates the spiral ganglions in the cochlea, has allowed more than 325 000 people worldwide to regain audition. However, cochlear implants are not appropriate for patients that have a disfunctionnal auditory nerve or for which the cochlea cannot be implanted. Alternative implants have therefore been developed such as the auditory midbrain implant (AMI) that stimulates a structure named the inferior colliculus (IC). One aspect that limits the development of the AMI is the lack of knowledge regarding the optimal approach to stimulate the IC. The proposed project aims at gaining more insight into the optimal design of stimulation patterns for the IC. Objectives: ----------- Design optimal inferior colliculus stimulation patterns using adaptive filters specifically adapted for neural signals: the neural activity will be recorded in the auditory cortex and optimal stimulation in the inferior colliculus will be evaluated using a closed-loop approach. A financial support will be provided. Requirements: —————— - Excellent academic record. - Master’s degree in biomedical engineering, electrical engineering, computer engineering, physics, biophysics or other related field with a strong background in mathematics and signal processing. - Willing to conduct experiments in electrophysiology to record the neural activity of the auditory system. No prior knowledge in electrophysiology is required. - Excellent ability to communicate in English, knowledge of French is considered an advantage. The Université de Sherbrooke is a French-speaking institution located in the province of Quebec, Canada, and the heart of an international research pole. It is the host to more than 40 000 students from over 120 different countries worldwide. (Source: UdeS) Interested candidates should send their CV, academic transcripts as well as the names of 2 references to Prof. Eric Plourde. Contact: Eric Plourde, Eng., Ph.D., Université de Sherbrooke (eric.plourde(a)usherbrooke.ca)

Sept. 11, 2018

COSYNE 2019: Call for workshop proposals

by Tomas Hromadka

================================================= Computational and Systems Neuroscience 2019 (Cosyne) MAIN MEETING 28 February - 03 March 2019 Lisbon, Portugal WORKSHOPS 04 - 05 March 2019 Cascais, Portugal www.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 *strongly encouraged* to submit a pre-proposal by *30 September 2018.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory, but workshops with a pre-proposal will have priority. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org) 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). A primary contact should be designated. - 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 of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - 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. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). 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 you think 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.

Sept. 11, 2018

POSTDOCTORAL POSITIONS, BROWN UNIVERSITY (TRUCCOLO LAB)

by Wilson Truccolo

Applications for post-doctoral positions in Computational Neuroscience are invited for the laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of neuronal network dynamics, including applications to propagation and control of epileptic seizures. Neural data consist of recordings of ensembles of single-neurons and high-density local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates. The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related publications can be found on the Truccolo lab website ( http://www.truccololab.com/) Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

Sept. 10, 2018

Two Open Postdoc positions on Multi-modal and Computational Brain dynamic studies (MPI-Biological Cybernetics)

by Xin Yu

Postdoctoral Position at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany The Department of High-field Magnetic Resonance at the Max Plank Institute for Biological Cybernetics in Tübingen is offering TWO postdoctoral positions. This position is open now until filled. Research Description: Understand and learn to control the brain circuits underlying critical brain states. Potential assignments: Position #1 (Bio-engineering and computational direction) a) Build up a real-time bio-feedback controlling system for brain functional studies: i) Neural network-based signal processing, ii) MR-guided robotic system development, iii) Machine learning-based multi-modal brain signal dynamic prediction. b) High field MRI methodology development and applications i) High spatiotemporal fMRI method development from rodents to humans. ii) Advanced resting-state fMRI analysis method development based on the neural network-based learning schemes. Candidates with strong computational skills are highly encouraged to apply for this position. Position #2 (multi-modality imaging in animal brains, Biologists/biomedical engineers/electrophysiologists) a) Implement the MRI/EEG/calcium recording methods for global brain state monitoring. b) Target specific nuclei with deep brain optogenetic stimulation methods to study circuit-specific brain state neuromodulation. c) Develop an advanced fiber-optic imaging device for MRI compatible concurrent brain dynamic signal recordings, e.g., Ca2+, Glutamate, K+, and other neuromodulators. Experience with viral transfection, 2-PM or fiber optic recordings, or in vivo. / in vitro. electrophysiology in animal models (rodents) is highly desirable. The candidates should bear experience or strong interests in brain functional imaging, e.g. task-based BOLD fMRI. The Max Plank Institute for Biological Cybernetics is located in Tübingen, Germany. The High-field Magnetic Resonance Department is equipped with the 3T, 9.4T human MR scanner and 14.1T animal Bruker MR Scanner. Please send your CV (in English) to Dr. Yu (E-mail: xin.yu(a)tuebingen.mpg.de) Best, Xin

Sept. 10, 2018

postdoc positions in statistical neuroscience

by xaq pitkow

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

Sept. 7, 2018

Multiple Faculty Positions in Neuroengineering, Rice University

by Caleb Kemere

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

Sept. 7, 2018

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

by David Noelle

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

Sept. 6, 2018

Hearst Postdoc position at Rhodes College in Memphis

by Blustein_Daniel

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

Sept. 6, 2018

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

by Fellous, Jean-Marc - (fellous)

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

Sept. 5, 2018

EEG Basic Oscillations Workshop

by TORRALBA CUELLO, MIREIA

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

Sept. 5, 2018

NEURON Course at SFN 2018 meeting

by Ted Carnevale

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

Sept. 5, 2018

High Performance Computing workshop at SFN 2018 meeting

by Ted Carnevale

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

Sept. 4, 2018

Postdoctoral position available in computational muscle modelling

by Sang-Hoon Yeo

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

Sept. 4, 2018

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

by Rajeev Raizada

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

Sept. 4, 2018

An Amazing Job Opportunity at Apple!

by Burak Yildiz

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

Sept. 4, 2018

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

by Nguyen, Sao Mai

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

Sept. 3, 2018

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

by Nguyen, Sao Mai

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

Sept. 3, 2018

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

by Richard Kempter

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

Sept. 3, 2018

EEG and Machine Learning Postdoctoral Position at Stanford for Personalized Medicine

by Sanggyun Kim

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

Sept. 1, 2018

The Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The new Impact Factor of the journal is 2.414 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Stochastic Hybrid Systems in Cellular Neuroscience Paul C. Bressloff and James N. Maclaurin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Data Assimilation Methods for Neuronal State and Parameter Estimation Matthew J. Moye and Casey O. Diekman https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Bifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generator Andrea Ferrario, Robert Merrison-Hort, Stephen R. Soffe, Wen-Chang Li and Roman Borisyuk https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… What Is Required for Neuronal Calcium Waves? A Numerical Parameter Study Markus Breit and Gillian Queisser https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Investigating the Correlation–Firing Rate Relationship in Heterogeneous Recurrent Networks Andrea K. Barreiro and Cheng Ly https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Aug. 28, 2018

Frontiers Research Topic on Data Assimilation

by Axel Hutt

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

Aug. 27, 2018

LACONEU Summer School - January 2019

by Patricio Orio

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

Aug. 24, 2018

Postdoc at RIKEN Center for Brain Science, Japan

by Taro Toyoizumi

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

Aug. 23, 2018

NEST 2.16.0 released

by Hans Ekkehard Plesser

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

Aug. 21, 2018

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

by Stephanie Jones

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

Aug. 21, 2018

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

by Dylan Muir

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

Aug. 17, 2018

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

by Purcell, Sarah

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

Aug. 17, 2018

Postdoc available in Brinkman group at Stony Brook University

by Braden Brinkman

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

Aug. 16, 2018

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

by Bénédicte BATRANCOURT

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

Aug. 16, 2018

Up to 5 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy

by Alessandro Treves

SISSA is an elite postgraduate research institution, focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. Campus above Trieste, overlooking the Gulf. Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range from cognitive psychology and imaging in humans to behavioural neuroscience and multiple single-unit recording in rats, mathematical and computational modeling; with research groups led by Domenica Bueti, Davide Crepaldi, Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs. All admitted students receive a 4-year fellowship and engage full-time in research based in Trieste, with limited coursework in the first few months, talks and seminars throughout the year and a TEX event in the summer, see https://indico.sissa.it/event/26/ Admission exam Sept 13-4, 2018; Deadline for applications: Aug 31, 2018. -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

Aug. 16, 2018

Save the date ICTALS2019 (IWSP9), Exeter, UK, September 2nd – 5th 2019

by Goodfellow, Marc

Dear All, The International Conference for Technology and AnaLysis of Seizures, 2019 (ICTALS2019) will take place at the University of Exeter, September 2nd – 5th 2019. The goal of this conference is to bring together neurologists, neuroscientists, researchers from quantitative disciplines and people with lived experience of epilepsy in order to work as a community to advance our understanding of epilepsy and develop practical ways to improve diagnosis and treatment. This is the second ICTALS conference, which is an evolution of the previous International Workshop on Seizure Prediction (IWSP) series. The theme for this year’s conference will be: “The Epilepsy Journey: from first seizure to treatment and beyond”. We will emphasise how advances in our understanding of the dynamics of brain networks can be used to make a difference to people with epilepsy at all points of their journey: from elucidating the causes of the first seizure to diagnosing epilepsy, understanding how ictogenic networks give rise to recurrent seizures and how this insight can inform personalised treatment. To encourage this focus on translatable output of research we will seek to include all relevant communities. In addition to focussing on current scientific, clinical and technological advances, we will take steps to increase accessibility for people with lived experience of epilepsy. We have begun to create a webpage for the conference, which we will populate with further information in due course. You can find this at: http://exeter.ac.uk/ictals2019 In the mean time, please save the date above in your diary and we will follow up with further information, including registration and programs over the next few months. Best wishes Marc Goodfellow (on behalf of the local organising committee). https://emps.exeter.ac.uk/mathematics/staff/mg401

Aug. 15, 2018

MRC Skills Development Fellowships at the University of Exeter

by Purcell, Sarah

Dear Colleagues, The University of Exeter<http://www.exeter.ac.uk/> is delighted to be partnering with the Medical Research Council<https://mrc.ukri.org/> (MRC) to offer exceptional candidates the opportunity to hold a 3 year Skills Development Fellowship, commencing between November 2018 and March 2019. MRC Skills Development Fellowships are prestigious personal awards, aimed at exceptional early career researchers with a strong background in mathematical, statistical, computational or biophysical modelling and analysis, or for more advanced researchers from a biomedical or clinical background who are seeking to develop strong quantitative skills. The University of Exeter has a wide variety of opportunities to develop these quantitative skills in the context of neuroscience and neurology, endocrinology and metabolism, and primary care population and health services research. Successful applicants will be housed within the brand new £52M Living Systems Institute<https://www.exeter.ac.uk/livingsystems/> where they will be co-located with 8 other MRC Fellowship holders. They will receive 3 years of funding with substantial budgets for travel, skills development and consumables as determined by their project needs. As part of the Fellowship candidates will also have the opportunity to spend up to a year in an internationally leading second research centre. Additionally, candidates will receive a £5,000 career development budget from the University of Exeter. Full details of this opportunity are available from www.exetermrcsdf.ac.uk<http://www.exetermrcsdf.ac.uk/> and in the information video<https://youtu.be/LKgl1WqiRgU>. Applications are now open with a closing date of 13th September 2018. Please do share these details with any potentially interested parties.

Aug. 15, 2018

Funded postdoc positions: Synaptic and network mechanisms of visual perception

by Haider, Bilal

The Haider Lab in the Dept. of Biomedical Engineering (BME) at Georgia Tech & Emory University seeks highly motivated and skilled postdoctoral fellows for a 3-5 year NIH funded project examining synaptic and network mechanisms supporting sensory perception. The position is available immediately and conforms to NIH standards for salary and benefits. The project offers significant opportunity to use cutting-edge research techniques in vivo during visual perception. These include 1) neural population recording with high-density silicon electrodes, 2) optogenetic circuit manipulation, and 3) whole-cell patch-clamp recording during behavior. The ideal candidate has expertise in patch clamp or multi-electrode electrophysiology in vitro or in vivo, and quantitative skill in data acquisition and analysis (preferably with MATLAB). Candidates should have excellent written and verbal communication skills, an inquisitive mindset, and enthusiasm to work in a multi-disciplinary team. The position is funded for up to 5 years, pending satisfactory performance upon annual review. We are enthusiastic to form a diverse, international research group. All candidates will be mentored for independent career development. There is a strong, multidisciplinary concentration of labs focusing on Neuroscience at GT and at Emory. Atlanta is vibrant, green, diverse, and one of the most affordable and livable major cities of the US. Applications should include a CV, a brief statement of research goals, expected date of availability, and names and contact information of three references. Please email materials to bilal.haider(a)bme.gatech.edu Further information and recent lab publications can be found at haider.gatech.edu Bilal Haider, Ph.D. Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive, Suite 3104 Atlanta, GA 30332 tel: +1 404 385 4935 fax: +1 404 385 5044 site: haider.gatech.edu<http://haider.gatech.edu/> twitter: @haiderlab<https://twitter.com/haiderlab>

Aug. 14, 2018

Postdoctoral Research Fellow roles - EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter

by Purcell, Sarah

2 Postdoctoral Research Fellow roles - EPSRC Centre for Predictive Modelling in Healthcare University of Exeter, UK Two Research Fellows are required to support the EPSRC Centre for Predictive Modelling in Healthcare<http://emps.exeter.ac.uk/mathematics/research/pmh/> (CPMH). The roles are available from 01 October 2018, or a mutually agreeable date soon thereafter, for a period of up to 24 months. The CPMH is a £2M award which brings together outstanding scientists from mathematics, statistics, computer science and our medical school. With an additional £7M in research funding, the interface between mathematics, computer science and healthcare is one of the most rapidly expanding areas within the University. The Centre forms part of the Quantitative Biology and Medicine Initiative, which currently consists of 15 PDRAs, 9 fellowship holders, and 10 PhD students. The successful candidates are expected to focus on one of the following areas, depending on their interests and background: (a) Transient dynamics of networks with multiple time scales: there are significant mathematical challenges from disease modelling that require the development of new techniques to understand transient behaviour in multiple timescale systems, especially for systems where there is not a simple factorization into fast and slow subsystems. (b) Numerical investigation of models of cardiac diseases: involving multi-scale excitable and transient dynamics, with a focus on re-entrant arrhythmias specifically concerning development and improvements of antiarrhythmia pacing, low-voltage defibrillation and catheter ablation. [In partnership with cardiologists at the RD&E Hospital, Exeter]. (c) Mathematical modelling and analysis of EEG in dementia: EEG analysis has shown promise in differentiating people with dementia from healthy older adults, and therefore could provide indications for early diagnosis. We will use mathematical models to better understand why differences in EEG occur and combine models and analysis to build improved diagnostic markers. [In partnership with colleagues in Bath, Bristol & Reading]. (d) Mathematical modelling and analysis of polygenic disease: conditions such as diabetes and dementia depend on the simultaneous presence of several genes; they are not inherited as simply as single-gene diseases and therefore require the development of new mathematical approaches to improve diagnosis via e.g. the interpretation and uncertainty quantification of proportions of patients in large data sets (e.g. UK Biobank) using genetic risk scores. [In partnership with diabetologists and neurologists from the Medical School]. For full details please see the job advert<https://www.jobs.ac.uk/job/BLL261/postdoctoral-research-fellow/>. Application deadline: 20 August 2018. For further information please contact Centre Manager Sarah Purcell, email S.Purcell(a)exeter.ac.uk<mailto:S.Purcell@exeter.ac.uk> or telephone 01392 726447.

Aug. 13, 2018

PhD deeplearning in neuroimaging - Amsterdam

by Rajat Thomas

PhD student “Deep learning analysis of neuroimaging data” The job Amsterdam UMC (University of Amsterdam) has a vacancy for a PhD student. The aim of the project is to develop deep neural network (DNN) analysis of neuroimaging data to enable neuroimaging biomarker development. Neuroimaging data consist of thousands of features but the training of DNNs is typically hampered by limited samples. You will use large existing datasets (>10.000 subjects) for the development of DNN analysis and test the resulting models in smaller samples to develop neuroimaging biomarkers for psychiatric disorders. Our department The project is a collaboration with Phillips Research and funded by a public-private partnership grant from the Netherlands Organisation for Scientific Research (NWO). You will closely collaborate with experts in DNN and neuroimaging data analysis from Philips. The project is embedded within the Department of Psychiatry of the Amsterdam UMC, and you will be supervised by Dr. Rajat Thomas (deep learning) and Prof. Guido van Wingen (neuroimaging). Your experience We are looking for a highly talented and dedicated PhD student with a (nearly completed) Master’s degree in a computer science, artificial intelligence, bioinformatics, mathematics, statistics, engineering, or related discipline. You have a strong background in mathematics, statistics, and programming, preferably in one of the major frameworks for deep learning like TensorFlow, Pytorch and/or Keras, and preferably have experience with medical image analysis. You have good communicative skills and are well able to work independently as well as in a team. You are proficient in English in speech and writing. Dutch is a plus but not required. Our offer We offer a challenging research project and excellent resources for the duration of 4 years. The starting date is preferably around December 2018. Compensation is according to the collective agreement (CAO-UMC), and amounts from EUR 2.279,- gross per month in the first year to EUR 2.919,- in the fourth year. You will be employed by AMC Medical Research BV. Your application For more information, please contact Dr. Rajat Thomas (r.m.thomas(a)amc.nl) or Prof. Guido van Wingen (g.a.vanwingen(a)amc.nl) Please apply online before September 8 at https://werkenbijamc.nl/vacatures/phd-student-deep-learning-analysis-of-neu…

Aug. 10, 2018

Postdoc deeplearning in medical imaging - Amsterdam

by Rajat Thomas

Postdoctoral / Ph.D. researcher “Deep learning analysis of neuroimaging data” The job Amsterdam UMC (University of Amsterdam) has a vacancy for a postdoctoral researcher. The aim of the project is to develop deep neural network (DNN) analysis of neuroimaging data to enable neuroimaging biomarker development. Neuroimaging data consist of thousands of features but the training of DNNs is typically hampered by limited samples. You will use large existing datasets (>10.000 subjects) for the development of DNN analysis and test the resulting models in smaller samples to develop neuroimaging biomarkers for psychiatric disorders. Our department The project is a collaboration with Phillips Research and funded by a public-private partnership grant from the Netherlands Organisation for Scientific Research (NWO). You will closely collaborate with experts in DNN and neuroimaging data analysis from Philips. The project is embedded within the Department of Psychiatry of the Amsterdam UMC, and you will be supervised by Dr. Rajat Thomas (deep learning) and Prof. Guido van Wingen (neuroimaging). Your experience We are looking for a postdoctoral fellow with a (nearly completed) PhD in computer science, artificial intelligence, bioinformatics, mathematics, statistics, engineering, or related discipline. You have a strong background in mathematics, statistics, and programming in one of the major frameworks for deep learning like TensorFlow, Pytorch and/or Keras, and preferably have experience with medical image analysis. You have excellent communicative skills in written and spoken English (Dutch is a plus but not required) and are well able to work independently as well as in a team. You have an interest in neuroscience and developing biomedical applications, and as postdoctoral researcher will assist in the supervision of junior researchers. Our offer We offer a challenging research project and excellent resources for the duration of 1 year with a possible extension of 2 years. The starting date is preferably around December 2018. Compensation is according to the collective agreement (CAO-UMC), depending on education and experience. You will be employed by AMC Medical Research BV. Your application For more information, please contact Dr. Rajat Thomas (r.m.thomas(a)amc.nl) or Prof. Guido van Wingen (g.a.vanwingen(a)amc.nl) Please apply online at https://werkenbijamc.nl/vacatures/postdoctoral-researcher-deep-learning-ana…

Aug. 10, 2018

ESI SyNC Conference 2018 - Integrative Mechanisms of Cognitive Neuroscience | DEADLINE APPROACHING

by André Castro

Dear all, this is a kind reminder that ESI Sync 2018 is approaching. The registration deadline is 15th August and only a limited number of places are available. This year’s theme is "Integrative Mechanisms in Cognitive Neuroscience: Crossroads to the Brain”. The conference will begin in the morning of 30th August and end in the evening of 31st August 2018 at the Ernst Strüngmann Institute in Frankfurt, Germany. Our confirmed invited speakers are the following: - David Melcher (University of Trento, Italy) -- "Temporal rhythms of visual perception" - Dimitri Kullmann (UCL, UK) -- "Hippocampal gamma oscillations: dynamical properties and closed-loop manipulation" - Matteo Carandini (UCL, UK) -- "Local and global neural correlates of vision, action, and reward" - Biyu He (NYU, US) -- ''Large-scale brain dynamics underlying visual perceptual awareness'' - Tobias Donner (UKE, Germany) -- tba - Wim Vanduffel (KU Leuven, Belgium) -- "Optogenetic interrogation of the attention network in primates" - Anitha Pasupathy (University of Washington, US) -- "Encoding things and stuff: multiplexed form and texture signals in primate V4" - Floris de Lange (Radboud University, Netherlands) -- "How do prior expectations influence sensory computations?" - Hannah Monyer (Heidelberg University, Germany) -- ''GABAergic neurons – the cellular substrate for local and long-range synchrony'' - James Bisley (UCLA, US) -- ''The complementary roles of areas LIP and FEF in guiding eye movements'' This year we have the pleasure to announce as our special guest the choreographer Ildikó Tóth! In order to register, please fill out the registration form (that can be found at http://www.esi-frankfurt.de/registration/ ) and email it to events(a)esi-frankfurt.de. Please see our [website](http://www.esi-frankfurt.de/esisync/esisync-home/) for more details and updates on the programme. Organising Committee: Wolf Singer Pascal Fries André Castro Tommaso Tosato Ana Broggini Miriam Mueller Renata Vajda

Aug. 9, 2018

Final call and reminder - workshop on Computational Neuroscience and Robotics: University of York, 3-5 Sep 2018.

by David Halliday

The SPANNER workshop on Astrocyte-Neuron interactions, Spiking Neural Networks and Autonomous robotics is still accepting applications to attend. Due to sponsorship we can offer free registration, including meals at this 2.5 day workshop. We have invited speakers from USA, EU and UK. We are still accepting abstracts for contributed talks. Overnight accommodation will be provided for PhD students and early career researchers and PhD student travel bursaries are available. Up to date information is on the web site: https://www.york.ac.uk/spanner-workshop We warmly invite you to the historic city of York next month.

Aug. 8, 2018

PhD positions in CRC 1330 Hearing Acoustics

by Seeber, Bernhard

Dear colleagues, on behalf of Dr. Ewert I am pleased to announce two open positions in the Medical Physics Group at the University of Oldenburg, Germany, funded by the Deutsche Forschungsgemeinschaft (DFG) as part of newly established collaborative research centre CRC1330 Hearing Acoustics. Further information can be found here: PhD Position in the area of of auditory-object-based perception modelling for complex scenes: https://www.uni-oldenburg.de/stellen/?stelle=66162 PhD Position in the area of psychoacoustics in complex audio-visual virtual environments: https://www.uni-oldenburg.de/stellen/?stelle=66163 Both projects aim to transition from classical lab testing of hearing with simplified stimuli to using life-like realistic scenarios. Applications are requested no later than August 31, 2018. Many thanks, Stephan Ewert (Bernhard Seeber)

Aug. 7, 2018

Extension Call for Abstracts: New Deadline August 31 - Cognitive Computing - Merging Concepts with Hardware

by Prof. Dr. Gordon Pipa

Upon demand and the holiday period in August we extend the Deadline for submissions of abstracts until the end of August. New Deadline for Abstract submission: August 31 Call for participation and contributions: COGNITIVE COMPUTING: MERGING CONCEPTS WITH HARDWARE December 18-20, 2018, Hannover, Germany http://www.cognitive-comp.org/ ** An interdisciplinary networking event / scientific conference ** We would like to draw your attention to an upcoming scientific community event. The aim of this conference is to work towards a general, productive, and rigorous theory of “computing” in non-digital, nonlinear physical substrates. Biological brains and unconventional computing machines would become understandable as different instantiations of the same underlying principles. Three scientific communities, namely - cognitive and computational neurosciences, - theory of computation, and - nonlinear materials, devices and systems have since long been exploring diverse facets of such principles of non-digital computing. But differences in terminology, discipline-specific objectives and a scattered spectrum of formal methods have handicapped cross-fertilization. Everything in this conference is geared toward stimulating linkages between these fields: - single-track with few but rather long oral presentations, - long break and poster session times for person-to-person interaction, - keynote and plenary speakers with interdisciplinary renown, - a limited (200) number of participants, - a splendid setting in the Castle of Herrenhausen, a heritage of the Kings of Hannover, with adjoining hectares of classical French gardening. Invited and confirmed speakers: - Kwabena Boahen, Stanford University - Joanna J. Bryson, Univ. of Bath and Princeton University - Chris Eliasmith, University of Waterloo - Edward A. Lee, UC Berkeley - Demetri Psaltis, EPFL Lausanne - Pieter Roelfsema, Vrije Universiteit Amsterdam & Netherlands Institute for Neuroscience - Susan Stepney, University of York - Ipke Wachsmuth, University of Bielefeld - David Wolpert, Santa Fe Institute We solicit the submission of 2-page abstracts, with themes oriented toward our five topical sessions: - applications of unconventional computing systems, - theoretical concepts and mathematical foundations, - neuromorphic hardware, - novel physical substrates, - guides from neuroscience for computing technologies. In addition to latest specific achievements, we specifically encourage survey / introductory / didactic contributions. Detailed information can be found on http://www.cognitive-comp.org/ and in the Call for Abstracts that is posted there. Timelines: - Abstract submission: July 31 - Notification of acceptance: September 30 - Final abstract for online publication: October 31 Registration fees: - Students (incl. PhD students): 150 Euro - Others (academic): 300 Euro - Industry: 900 Euro Contributors of accepted oral presentations will be exempted from fees and will receive travel refunding. The event was made possible by the generous support from the Volkswagen Foundation, Germany’s largest private organization for the advancement of scientific research. The organizers: - Daniel Brunner (photonics, neuromorphic architectures; CNRS / University of Burgundy - Franche-Comté) - Herbert Jaeger (machine learning, nonlinear dynamics; Jacobs University Bremen) - Stuart Parkin (nano systems, quantum electronic materials; Max-Planck-Institute for Microstructure Physics, Halle) - Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabrück)

Aug. 6, 2018

One postdoc and two PhD positions in Emmy-Noether group "Decision Neuroscience of Human Cooperation" in Hamburg, Germany

by Christoph Korn

Dear all, I would be very grateful, if you could circulate the following job announcements. One postdoc and two PhD positions are available within the newly funded Emmy-Noether research group "Decision Neuroscience of Human Cooperation" led by Christoph Korn. *Research topic and group:* The group's aim is to investigate the decision-making and learning processes relevant for successful social cooperation between humans. The planned projects rely on a variety of theoretical and methodological approaches including computational modeling of behavioral data, evolutionary game theory, model-based and multivariate analyses of fMRI data, pupillometry, virtual reality, and testing of psychiatric patients. The group is based at the Institute of Systems Neuroscience (head: Prof. Christian Büchel) at the University Medical Center Hamburg-Eppendorf in Hamburg, Germany. Psychiatric patients are tested in collaboration with Sabine Herpertz and her lab at the Heidelberg University Hospital. You can find more information here: http://christoph-korn.net/ *What the group offers:* - Opportunity to get hands-on supervision for learning various data acquisition and analysis techniques - Dynamic, interdisciplinary, and international research environment within the Institute of Systems Neuroscience - Research-dedicated T3 MR scanner (PRISMA), eye-tracking and VR laboratories, excellent infrastructure for behavioral testing - Multiple training opportunities within the institute (e.g., https://goo.gl/pU44vP) - Possibility to join the local graduate school, which is a member of national and international networks - Possibility of research stay with collaboration partners in the US *Your profile:* - You are interested in investigating how cooperation, decision-making, and learning relate to human brain activity and how they go awry in psychiatric disorders. - You like to design experiments, devise models, and analyze various types of data. - You have experience in conducting and analyzing behavioral experiments with human participants. - You are fluent in English. For the postdoc position and for one of the PhD positions, knowledge of German is not necessary. *Requirements for the postdoc position:* - A PhD (completed or close to the completion) in neuroscience, cognitive science, psychology, economics, medicine, or a related discipline. - Experience in conducting and analyzing neuroimaging experiments (including familiarity with SPM, FSL, or similar programs). - Experience in using programming languages such as Matlab, R, or Python. - Experience in writing and publishing peer reviewed scientific papers. *Requirements for the PhD positions:* - A Master of Science or an equivalent degree in neuroscience, cognitive science, psychology, economics, medicine, or a related discipline. - Experience in programming and in conducting or analyzing neuroimaging experiments is a big plus. - One of the PhD candidates will be (partly) based in Heidelberg to test psychiatric patients. This position is ideal for applicants with an interest in clinical psychiatry and requires knowledge of German to interact with patients. *Application and job specifications:* Applications will be accepted until the positions are filled. The first review of applications will be in the beginning of September 2018. Preferred starting date is January 2019 but later starting dates may be possible. Salary depends on experience and is based on German regulations (the postdoc position is remunerated with the factor 100%, the PhD positions with the factor 65%). The appointments will be initially for 3 years with the possibility for continuation. The group is committed to maintaining a diverse and inclusive environment. If you are interested, please send one pdf-document including your CV, a brief statement of research interest, and the contact details of two academic referees to *c.korn(a)uke.de <c.korn(a)uke.de>*. Informal inquiries are welcome. Looking forward to hearing from you, Christoph

Aug. 3, 2018

A biologically motivated and more powerful alternative to locality-sensitive hashing

by Rod Rinkus

I believe this community will be interested in a new downloadable Java app that I 've just made available on my web site (on this page <http://www.sparsey.com/CSA_explainer_app_page.html>), which describes an alternative, biologically motivated/plausible, way to achieve the goals of locality-sensitive hashing (LSH). This alternative model, called Sparsey, achieves a more graded notion of similarity preservation than LSH, and has many other advantages as well. Sparsey has a natural correspondence to the brain's cortex, centering on the idea that all items of information are stored as sparse distributed codes (SDCs), a.k.a., cell assemblies, in superposition in mesoscale cortical modules, e.g., macrocolumns (though other structures, e.g., mushroom bodies, are also candidates). Briefly, Sparsey preserves similarity from input space to SDR code space (measured as intersection size) as follows. - The process of choosing an SDC takes the form of Q independent softmax choices, one in each of the Q WTA competitive modules (CMs) that comprise the SDR coding field. - The familiarity (inverse novelty) of the input, denoted "G", which is in [0,1], is computed. This is an extremely simple computation. - The amount of noise in those Q softmax choice processes is modulated as a function of G. Basically, the softmax is over the distribution of input summations of the competing cells (in a given CM), but we use G to modulate (i.e. sharpen vs. flatten) those distributions. - When G is near 1 (perfect familiarity), the distributions are greatly sharpened, causing the expected number of CMs in which the cell with the highest input summation wins (and thus, the expected intersection of the resulting SDR with the closest matching previously stored SDR) to increase towards Q. When G is near 0 (completely novel), the distributions are flattened, causing the expected number of CMs in which the cell with max input summation wins (and thus, the expected intersection of the resulting SDR with the closest matching previously stored SDR) to decrease towards chance. In other words, this G-based modulation of the distributions, which can be viewed as varying the amount of noise in the choice process, achieves similarity preservation. I encourage members of this community to explore the app to understand this simple and more powerful alternative to LSH. I welcome your feedback. Sincerely, Rod Rinkus -- Gerard (Rod) Rinkus, PhD President, rod at neurithmicsystems dot com Neurithmic Systems LLC <http://sparsey.com> 275 Grove Street, Suite 2-400 Newton, MA 02466 617-997-6272 Visiting Scientist, Lisman Lab Volen Center for Complex Systems Brandeis University, Waltham, MA grinkus at brandeis dot edu http://people.brandeis.edu/~grinkus/ <http://people.brandeis.edu/%7Egrinkus/>

Aug. 2, 2018

Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST

by Luigi Malagò

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 15 August 2018 (applicants are encouraged to apply earlier) *Salary*: around 2200 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group https://rist.ro/en/teams.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, using geometric methods based on Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-lea rning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 15 August 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

Aug. 2, 2018

PhD positions at the Univ. of Leicester (for UK/EU candidates only)

by Okun, Michael (Dr.)

Fully Funded PhD Studentships (for UK/EU candidates only) to work at Prof. Quian Quiroga's lab at the Centre for Systems Neuroscience, University of Leicester, UK ( www.le.ac.uk/csn ). The Centre for Systems Neuroscience at the University of Leicester, UK, offers up to 2, 3-Year Fully Funded (stipend plus fees) PhD positions for UK/EU candidates, to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory formation. Candidates should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. They should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Emma Hawkins, Research Centre Manager, eeh18(a)le.ac.uk or 0116 252 3249. Interested candidates should send their curriculum vitae and a brief description of their scientific interests to Emma Hawkins (eeh18(a)le.ac.uk) The closing date for the applications is Friday 5th September. Interviews are anticipated to take place on the 12th September.

Aug. 2, 2018

CfP : Workshop on Continual Unsupervised Sensorimotor Learning, IEEE ICDL 2018

by Nguyen, Sao Mai

*2nd Call for Contributions* IEEE ICDL -2018 workshop on Continual Unsupervised Sensorimotor Learning 17th September 2018, Tokyo, Japan Website : http://conferences.au.dk/icdl-epirob-2018-workshop Participants are invited to submit short papers (max 4 pages) following the standard IEEE conference template. Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Authors will be invited to submit extended versions of their papers for a special issue on Continual Unsupervised Sensorimotor Learning at IEEE TCDS. ================================================================== 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 Invited Speakers - Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany - Emre Ugur, Boğaziçi University, Turkey (to be confirmed) - Yukie Nagai, Center for Information and Neural Networks, Japan (to be confirmed) - David Ha, Google Brain (to be confirmed) Call for Papers: Prospective participants in the workshop are required to submit a contribution as a short paper (max 4 pages) Submissions must be in PDF following the standard IEEE conference style <https://www.ieee.org/conferences/publishing/templates.html>. Send your PDF manuscript indicating [ICDL-EPIROB 2018] in the subject to: erhan.oztop(a)ozyegin.edu.tr Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be encouraged to submit extended versions of the manuscripts to a special issue at IEEE Transactions on Cognitive and Developmental Systems (TCDS). Submissions will be peer reviewed consistent with the journal practices. Important Dates: Paper submission deadline: 5th August 2018 Notification of acceptance: 20th August 2018 Camera-ready version: 9th September 2018 Half-day workshop: 17th September 2018 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

July 31, 2018

[CFP] IROS-2018 Workshop: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens

by Amir Aly

CALL FOR PAPERS **Apologies for cross posting ** We are pleased to call for papers for the IROS-2018 workshop: "*Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens*" In conjunction with the *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)** - Madrid - Spain - October * *5th, 2018* *Webpage: **http://intelligent-social-robots-ws.com/* <http://intelligent-social-robots-ws.com/> *I. Aim and Scope *Robots that cook creatively, clean up our rooms dutifully, entertain our guests wittily and keep us company loyally. Robots that assist human users in their daily chores and provide support in times of need. Researchers around the world have envisioned such robot companions for a long time. Thanks to numerous innovations in sensor technology and software development, robots are now increasingly able to plan complex tasks in unknown environments, learn from experience and adapt to changes in the environment. The greatest challenges in robotics now lie in the development of robot skills and high-level AI-based functionalities that enable robots to work effectively in close collaboration with humans. Aside from the numerous technical challenges, which must be overcome before this vision can become a reality, multi-disciplinary research efforts are also invested into the social engineering of robots. In order to engineer “smart” robots that we accept, trust and welcome into our homes, it is paramount that we identify and investigate the factors that affect social interactions between humans and robots. For this purpose, computer scientists, AI researchers, engineers and psychologists tackle important questions that will determine whether robots will be perceived as helpful and reliable companions or as irritating nuisances. How should robots look, behave and communicate with us? What are our expectations of robot behavior in a social context? How can robots learn using the capabilities of their environments to achieve tasks and to address the needs of their human co-inhabitants? What kind of robot intelligence is required for what kind of tasks? In this workshop, participants will discuss with seasoned experts and young researchers what defines social and artificial intelligence for “smart” robots and how modern technological advances can equip robots with such intelligence. As such, this workshop aims to shed light on the intersection between cognitive science, artificial intelligence, and robotics research both from the theoretical and technical perspectives. Recent advances and possible avenues for future research in the field of “smart” robotics are principal topics of discussion during the workshop. ** *This workshop is endorsed by the IEEE Technical Committees*: *Human-Robot Interaction and Coordination, Cognitive Robotics, and Robot Learning*. *II. Keynote Speakers * 1. * Angelo Cangelosi *– University of Manchester/Plymouth – UK 2. *Yiannis Aloimonos *– University of Maryland – USA 3. * Selma Sabanovic *– Indiana University – USA 4. *Michael Beetz* – University of Bremen – Germany 5. *Matthias Scheutz *– Tufts University – USA *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/account/signin.cgi?key=75348348.9VXAN4Pe7LmBAKCx;time…>* . 2. Use the IEEE style (two-column format – US letter): *IEEE Templates <https://www.ieee.org/conferences/publishing/templates.html>*. 3. Submitted papers should be limited to 2-6 pages maximum. The primary list of topics covers the following points (but not limited to): - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Cloud robotics and ubiquitous computing - Ambient assisted living - Human intention recognition and prediction - Robot acceptance - Social engineering - Language learning, embodiment, and social intelligence - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Learning by demonstration and imitation - Language and grammar induction in robots * IV. Important Dates * 1. Paper submission: *20-August-2018 * 2. Notification of acceptance: *30-August-2018* 3. Camera-ready version:* 7-September-2018 * 4. Workshop: *5-October-2018* *V. Organizers * 1. *Amir Aly *– Ritsumeikan University – Japan 2. *Sascha Griffiths *– Hamburg University – Germany 3. * Verena Nitsch *– Bundeswehr University – Germany 4. *Katerina Pastra* – Cognitive Systems Research Institute – Greece 5. *Tadahiro Taniguchi* – Ritsumeikan University – Japan ---------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

July 31, 2018

3 Independent Academic Fellowship positions Computational Neuroscience

by Mark van Rossum

Academic Fellowship positions The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and structural and functional Imaging. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for three independent fellowships (3 years). The positions are ideal for researchers with a strong vision that are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. For the online application form see https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI219418 Informal inquiries: Prof Mark van Rossum, mark.vanrossum(a)nottingham.ac.uk, or Prof Mark Humphries, lpzmdh(a)exmail.nottingham.ac.uk. -- Mark van Rossum, Professor, Schools of Psychology and Maths, U Nottingham Psych Bldg Rm LG.19, 44-115-74 86851, 44-7722049644 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

July 31, 2018

CFP: Workshop on Crossmodal Learning for Intelligent Robotics in conjunction with IEEE/RSJ IROS 2018

by Pablo Barros

**Apologies for cross-posting** 1st CALL FOR PAPERS for the international workshop: * Crossmodal Learning for Intelligent Robotics * in conjunction with IEEE/RSJ IROS 2018 * Madrid, Spain - Friday 5 October 2018 * * Website: http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php * I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioural responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. Multisensory representations have been shown to improve performance in the research areas of human-robot interaction and sensory-driven motor behaviour. The perception, integration, and segregation of multisensory cues improve the capability to physically interact with objects and persons with higher levels of autonomy. However, the multisensory input must be represented and integrated in an appropriate way so that they result in a reliable perceptual experience aimed to trigger adequate behavioural responses. The interplay of multisensory representations can be used to solve stimulus-driven conflicts for executive control. Embodied agents can develop complex sensorimotor behaviour through the interaction with a crossmodal environment, leading to the development and evaluation of scenarios that better reflect the challenges faced by operating robots in the real world. This half-day workshop focuses on presenting and discussing new findings, theories, systems, and trends in crossmodal learning applied to neurocognitive robotics. The workshop will feature a list of invited speakers with outstanding expertise in crossmodal learning. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Confirmed Speakers 1. * Yulia Sandamirskaya * Institute of Neuroinformatics (INI), University and ETH Zurich 2. * Angelo Cangelosi * Plymouth University and University of Manchester, UK 3. * Stefan Wermter * Hamburg University, Germany IV. Submission 1. Topics of interest: - New methods and applications for crossmodal processing (e.g., integrating vision, audio, haptics, proprioception) - Machine learning and neural networks for multisensory robot perception - Computational models of crossmodal attention and perception - Bio-inspired approaches for crossmodal learning - Crossmodal conflict resolution and executive control - Sensorimotor learning for autonomous agents and robots - Crossmodal learning for embodied and cognitive robots 2. For paper submission, use the following IEEE template: <http://ras.papercept.net/conferences/support/support.php>* 3. Submitted papers should be limited to *2 pages (extended abstract)* or *4 pages (short paper)*. 4. Send your pdf file to barros(a)informatik.uni-hamburg.de AND jirak(a)informatik.uni-hamburg.de Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (to be arranged). Submissions will be peer reviewed consistent with the journal practices. V. Important Dates * Paper submission deadline: August 15, 2018 * Notification of acceptance: September 5, 2018 * Camera-ready version: September 15, 2018 * Workshop: Friday 5 October 2018 VI. Organizers * German I. Parisi * Hamburg University, Germany * Pablo Barros * Hamburg University, Germany * Doreen Jirak * Hamburg University, Germany * Jun Tani * Okinawa Institute of Science and Technology, Japan * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA -- 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/

July 30, 2018

Four-year PhD in Computational Psychiatry at University College London

by Hrvoje Stojic

Four-year PhD in Computational Psychiatry at University College London The International Max Planck Research School on Computational Methods in Psychiatry and Ageing Research (https://www.mps-ucl-centre.mpg.de/en) seeks applicants for PhD fellowships to be based at University College London (UCL). The PhD programme is strongly interdisciplinary and invites applications from potential students with a broad range of backgrounds including, but not limited to, neuroscience, mathematics, statistics, machine learning, computer science, physics, psychology, and medicine. This is an international doctoral programme of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, which has sites in London and Berlin. The programme offers unique training in concepts and methods from computer science and statistics in relation to substantive research questions in cognitive neuroscience, psychiatry, and lifespan psychology. Training involves seminars, methods workshops, participation in summer schools, and collaboratively supervised research. Students will take one module per semester for the first two years of the programme on topics that range from psychiatry and decision science to advanced computational and statistical methods. The main focus of the London site is to address cognitive and theoretical neuroscience questions relevant to understanding psychiatric disorders. Methods include neuroimaging and pharmacology, computational modelling of behaviour (learning, decision-making, emotion), and large-scale smartphone- and internet-based data collection. Students will have a primary supervisor within the Centre and possible supervisors include Tobias Hauser (http://v1.tobiashauser.ch/) and Quentin Huys (https://quentinhuys.com/) Collaboration is encouraged within the Centre and with other UCL departments including the Wellcome Centre for Human Neuroimaging (https://www.fil.ion.ucl.ac.uk/) and Gatsby Computational Neuroscience Unit (http://www.gatsby.ucl.ac.uk/) We offer a generous four-year studentship stipend of £23,263 (tax free) per year, PhD registration fees at the current Home/EU rate, research expenses, and funds for travel to conferences or courses. (If you are an international student please note that this studentship only covers UK/EU fees and you will need to provide the difference between UK/EU and overseas fees.) Students will participate in international summer schools, seminars and workshops linked to the Berlin site, and have the opportunity to conduct a research project of up to 6 months in Berlin. Requirements: This is a highly competitive programme. Successful applicants should have, or expect to get, at least an upper 2nd class degree (or the foreign equivalent), and should have some familiarity with computational and statistical methods. Students wishing to undertake a PhD with Quentin Huys are expected to take and pass courses (http://www.gatsby.ucl.ac.uk/teaching/courses/index.html) at the Gatsby Computational Unit. The next intake of students will be October 2018 (with the possibility for a later start date). UCL is committed to employing more people with disabilities and especially encourages them to apply. UCL also seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. Deadline: 26 August 2018. Shortlisted candidates will be interviewed in early September 2018 via Skype. HOW TO APPLY. Please send: 1) a CV, 2) a statement of why you want to do the PhD (no more than 1 page), 3) a copy of your strongest piece of academic work (e.g., thesis, publication). Please also arrange for two reference letters to be sent to us by referees. Your surname should be the first word in the subject line of these emails. The statement should indicate which of the named supervisors you would be most interested in having as a primary supervisor (multiple faculty can be listed as potential supervisors). Please ensure that your surname is the first word in the subject line of the email and that all documents are clearly labelled with your surname and the type of document. All documents and references should be sent to MaxPlanckPhD(a)ucl.ac.uk by 26 August 2018 at midnight. Questions about the programme can be directed to MaxPlanckPhD(a)ucl.ac.uk.

July 30, 2018

PhD Studentship, University College London, Centre for Medical Image Computing (CMIC)

by Andre Altmann

We are looking to fill a 4-year PhD studentship in the field of imaging genetics to work on drug resistant Epilepsy: Epilepsy is a group of neurological conditions that share the common characteristic of epileptic seizures. There are many types of epilepsy and many types of seizure. The diagnosis of epilepsy typically follows the occurrence of two or more seizures. While anyone can develop epilepsy at any point in life, it is most commonly diagnosed in children and people over 65 years of age. Currently, about 60 million people are suffering from epilepsy worldwide and over 500,000 in the UK alone. Anti-epileptic drugs (AED) are intended to reduce the frequency of seizures or even completely eliminate them. If AED treatment works, it allows people living with epilepsy to lead normal lives. However, in about one third of people none of the available drugs or combinations of drugs stop the seizures. These cases are considered treatment-resistant epilepsies and the underlying biology is still poorly understood. In this project, the successful candidate will help to advance knowledge about drug-resistant epilepsy. Using a large database of neuroimaging data from people with epilepsy, the first aim is to establish the imaging signature of drug-resistant epilepsy compared to drug-responsive epilepsy. That is, which brain regions show different cortical thickness or structural and functional connectivity changes in resistant vs responsive epilepsy? The second phase of the project involves an imaging-genetics approach to elucidate the genetic origin of drug-resistant epilepsy, which may help to identify drug targets for currently drug-resistant epilepsy. More information on requirements and the medical imaging CDT can be found here: http://medicalimaging-cdt.ucl.ac.uk/news/machine-learning-based-investigati… Kind regards, Andre

July 30, 2018

ANDA 2019 - G-Node Advanced Neural Data Analysis Course, April 1-18, 2019, Jülich, Germany

by Thomas Wachtler

ANDA 2019 - G-NODE ADVANCED NEURAL DATA ANALYSIS COURSE April 1 - 18, 2019 Haus Overbach, Juelich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). FACULTY · Moshe Abeles, Bar-Ilan Univ, Israel · Izhar Bar Gad, Bar-Ilan Univ, Israel · Michael Denker, Juelich Research Center and RWTH Aachen Univ, Germany · Sonja Grün, Juelich Research Center and RWTH Aachen Univ, Germany · Björn Kampa, RWTH Aachen, Germany · Tatiana Korotkova, MPI and University of Cologne, Germany · Christian Machens, Champalimaud Centre for the Unknown, Portugal · Martin Nawrot, University of Cologne, Germany · Yifat Prut, Hebrew Univ Jerusalem, Israel · Alexa Riehle, CNRS, Marseille, France · Alexander Thiele, University of Newcastle, UK · Thomas Wachtler, G-Node, LMU Munich, Germany TOPICS COVERED Single neuron properties and statistics · Stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Unitary Events · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Data mining · Data management, reproducibility, data sharing · Elephant toolbox REQUIREMENTS Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. COURSE FEE A course fee of 1000 Euros will be charged to cover costs for accommodation and meals. Limited financial support may be available for students that otherwise would not be able to attend, which is to be indicated in the application. HOUSING Accommodation in 2-bed rooms for students will be provided at the course site. HOW TO APPLY The application should include · a letter of motivation (max 1 page) · curriculum vitae (please indicate the relevant courses you have taken) · description of programming experience · a letter of recommendation. Please send all documents as a single PDF file to <advanced-course(a)g-node.org>. APPLICATION DEADLINE Applications must be received by SEPTEMBER 30, 2018. Early application is encouraged. For further information see http://www.g-node.org/anda2019 ORGANIZERS · Sonja Grün, Juelich Research Center and RWTH Aachen Univ, Germany · Martin Nawrot, University of Cologne, Germany · Yifat Prut, Hebrew University Jerusalem, Israel · Thomas Wachtler, G-Node, Ludwig-Maximilians-Universität München, Germany

July 30, 2018

Call for participants – workshop on Computational Neuroscience and Robotics: Astrocyte-Neuron interactions, Spiking Neural Networks and Autonomous robotics. University of York, 3-5 Sep 2018.

by David Halliday

This 2.5 day workshop in the historic city of York is accepting applications for participation. We have invited speakers from USA, EU and UK. Due to sponsorship from EPSRC we can offer free registration for all participants. Free accommodation is available for PhD, early career researchers and workshop presenters. Travel bursaries for registered PhD students are also available. For an up to date list of speakers and details of how to register see the website: https://www.york.ac.uk/spanner-workshop We are still accepting abstracts for posters or contributed talks. Further details: https://www.york.ac.uk/spanner-workshop

July 30, 2018

Cognitive Computing - Merging Concepts with Hardware - Call for Abstracts: Deadline Approaching: July 31

by Prof. Dr. Gordon Pipa

- - - Call for Abstracts: Deadline Approaching: July 31 - - - COGNITIVE COMPUTING: MERGING CONCEPTS WITH HARDWARE December 18-20, 2018, Hannover, Germany http://www.cognitive-comp.org/ ** An interdisciplinary networking event / scientific conference ** We would like to draw your attention to a slightly unorthodox scientific community event that could be realized with the generous support from the Volkswagen Foundation, Germany’s largest private organization for the advancement of scientific research. The aim of this event is to work towards a general, productive, and rigorous theory of “computing” in non-digital, nonlinear physical substrates. Biological brains and unconventional computing machines would become understandable as different instantiations of the same underlying principles. Three scientific communities, namely • cognitive and computational neurosciences, • theory of computation, and • nonlinear materials, devices and systems have since long been exploring diverse facets of such principles of non-digital computing. But differences in terminology, discipline-specific objectives and a scattered spectrum of formal methods have handicapped cross-fertilization. Everything in this conference is geared toward stimulating linkages between these fields: • single-track with rather few, rather long oral presentations, • long break and poster session times for person-to-person talking, • keynote and plenary speakers of interdisciplinary renown, • a limited (200) number of participants, • a splendid setting in the Castle of Herrenhausen, a heritage of the Kings of Hannover, with adjoining hectares of classical French gardening. Invited speakers: • Kwabena Boahen, Stanford University • Joanna J. Bryson, Univ. of Bath and Princeton University • Chris Eliasmith, University of Waterloo • Edward A. Lee, UC Berkeley • Demetri Psaltis, EPFL Lausanne • Pieter Roelfsema, Vrije Universiteit Amsterdam & Netherlands Institute for Neuroscience • Susan Stepney, University of York • Ipke Wachsmuth, University of Bielefeld • David Wolpert, Santa Fe Institute We solicit the submission of 2-page abstracts, with themes oriented toward our five topical sessions: • applications of unconventional computing systems, • theoretical concepts and mathematical foundations, • neuromorphic hardware, • novel physical substrates, • guides from neuroscience for computing technologies, encouraging survey / introductory / didactic contributions (besides the standard discipline-specific result reports which are also possible). Detailed information can be found on http://www.cognitive-comp.org/ and in the Call for Abstracts that is posted there. Timelines: • Abstract submission: July 31 • Notification of acceptance: September 30 • Final abstract for online publication: October 31 Registration fees: • Students (incl. PhD students): 150 Euro • Others (academic): 300 Euro • Industry: 900 Euro Contributors of accepted oral presentations will be exempted from fees and will receive travel refunding. The organizers: • Daniel Brunner (photonics, neuromorphic architectures; University of Besançon) • Herbert Jaeger (machine learning, nonlinear dynamics; Jacobs University Bremen) • Stuart Parkin (nano systems, quantum electronic materials; Max-Planck-Institute for Microstructure Physics, Halle) • Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabrück)

July 30, 2018

PhD Studentship, University of Osnabrueck- Research Training School on Computaional Cognition

by Prof. Dr. Gordon Pipa

We are looking for 9 PhD candidate for Research Training School funded by the DFG (German science foundation) on "Computational Cognition". The positions are to be filled by October 1, 2018 for a period of 3 years. More information: http://computational-cognition.eu/ https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote_d etail/109_ikw_phd_candidates.html The RTG Computational Cognition aims at reintegrating Cognitive Science and Artificial Intelligence. PhD students of the RTG will be educated in both subjects in order to combine the findings of these fields and thus to get a better understanding of human and machine intelligence. Research fields involved in the RTG are Neuroinformatics, Neurobiopsychology, Bio-Inspired Computer Vision, Knowledge-Based Systems, Cognitive Natural Language Processing & Communication, Cognitive Modeling, Artificial Intelligence, Psycho/Neurolinguistics, Computational Linguistics and Cognitive Computing. The RTG will focus on the integration of two research fields and has a focus on machine learning, deep learning and dynamical systems, computer vision combined with experimental methods including EEG and Eye tracking. Detailed information on the core areas of the offered PhD projects can be obtained from the spokesmen of the RTG, Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) and Prof. Dr. Peter König (pkoenig(a)uni-osnabrueck.de) The RTG will be incorporated into the Cognitive Science PhD program founded in 2002. PhD students of the RTG will take advantage of an interdisciplinary environment, which nevertheless focuses on a common research topic and offers a broad range of methodological synergies between the projects. Required Qualifications: Applicants are expected to have an academic degree (Master/Diploma), experience in at least one of the domains listed above, proven experience in interdisciplinary work as well as a good command of the English language. Osnabrück University has been certified as a family-friendly university committed to helping working/studying parents and carers balance their family and work life. The university aspires to ensure equal opportunities for men and women and strives to work towards a gender balance in schools or departments where new appointments are made. If equally qualified candidates apply, preference will be given to those with special needs. Applications with the usual documentation should be submitted by e-mail in a single PDF file to the director of the Institute of Cognitive Science, Prof. Dr. Kai-Uwe Kühnberger (kkuehnbe(a)uni-osnabrueck.de) with a cc to office(a)ikw.uni-osnabrueck.de no later than August 23, 2018.We will consider applicants who have: Best Gordon ---------------------------------------------------------------------------- ----------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

July 30, 2018

PhD position in Neuroscience available immediately (Italy / USA)

by Marco Tamietto

A new European Research Council (ERC) Consolidator grant starts at the University of Torino, Italy, for 5 years (~ 2 million euros). The grant “LIGHTUP – Turning the cortically blind brain to see” is awarded to prof. Marco Tamietto (www.marcotamietto.com) The project investigates the neural correlates of visual awareness and of non-conscious vision in patients with *blindsight* and in non-human primates (macaques) with V1 destruction. To this aim, a broad range of methods will be used, including 3T and 7T (f)MRI, neurophysiological recordings and brain stimulation (TMS). The project is embedded in an outstanding international and interdisciplinary context, including the University of Oxford (UK), Tilburg University (NL) and NIH (USA), with granted access to their excellent facilities. We offer a full-time PhD Student post for 4 years. Applications of highly motivated candidates with interests in systems neuroscience, vision sciences and neuroimaging are welcomed. The successful applicant will be appointed by the University of Torino, but he/she will be expected to spend a significant amount of time at the NIH in Bethesda (USA). In fact, the PhD student will be co-supervised by prof. M. Tamietto and prof. D. Leopold, and the position is specifically focused on behavioural and fMRI studies in non-human primates. For further information please visit http://www.marcotamietto.com or contact Prof. M. Tamietto (marco.tamietto(a)unito.it) or Prof. D. Leopold ( leopoldd(a)mail.nih.gov)

July 27, 2018

[Deadline Approaching] CfP: CI Methods in Processing and Analysis of Neuronal Big Data at BI 2018, Texas, Dec. 7-9.

by Mufti Mahmud

*[Apologies for cross posting.]* *Call for Paper for Special Session on* *Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data* *11th Brain Informatics Conference (BI 2018), Arlington, Texas, USA, December 7-9, 2018* *Web: http://uta.engineering/conferences/bi-2018/ <http://uta.engineering/conferences/bi-2018/>* Organizers: *Mufti Mahmud1, M Shamim Kaiser2, Ning Zhong3, Nitish V Thakor4* *1 **Computing and Technology, Nottingham Trent University, NG11 8NS – Nottingham, UK* 2*Institute of Information Technology, Jahangirnagar University, Savar, 1342 – Dhaka, Bangladesh* 3*Dept. of Life Science and Informatics, Maebashi Institute of Technology, 371-0816 - Maebashi-City, Japan* *4**Singapore Institute for Neurotechnology, National University of Singapore, 117456 – Singapore; &* *Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, 21205 – MD, USA* *Introduction:* The brain receives and processes information simultaneously coming from diverse sources. The neurons, being the basic information processing units, interconnect to each other to form hierarchical and/or parallel pathways. Technologies related to neural systems engineering have been employed to study these pathways along with processing and modelling of neuronal data for disease diagnosis and brain decoding purposes. Combining both experimental and computational approaches in recent years, thanks to the advancements in neurotechniques, scientists can access large amount of neuronal data and apply computationally intelligent and nature-inspired machine learning techniques including deep learning and reinforcement learning on those data to suggest next generation experimental design aiming to decipher brain’s information processing capabilities and diagnose its diseases. *Scope:* Developing data-intensive and intelligent tools, as well as sophisticated neurotechniques, to process and analyse the neuronal big data is one of the biggest challenges posed to today’s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special session aims to provide a forum for scientists from diverse disciplines including – computer, electrical, biomedical, and neuro engineering – who are looking for more relevant information in interpreting brain functions and diagnosing diseases using expert and computationally intelligent systems. This special session expects to attract papers on recent research progress in the area of intelligent computational tools and techniques in acquiring and processing neuronal big data. The focus areas include, but not limited to, the following: Ø Neural systems engineering and technology to study neural pathways; Ø Processing and modelling of neuronal data for disease diagnosis and brain decoding; Ø Bio-inspired methods for network analysis and pattern recognition in neural data; Ø Novel machine learning techniques for neuronal big data analysis; Ø Application of deep and reinforcement learning to neuronal big data analysis; Ø Computationally intelligent techniques for neuroscience applications; Ø Neuroinformatics (including cloud computing and real-time systems); Ø Cognitive science applications (learning, workload, decision making, etc.) and data analytics; Ø Computational and imaging methods for human brain connectome; and Ø Information analysis in human brain machine interface (invasive, noninvasive). *Submission of papers:* Submit Springer Lecture Notes in Computer Science (LNCS) complaint – 10 page – pdf paper to the Special Session following the steps below: Ø Prepare the paper as per the Springer LNCS template from: http://www.springer.com/us/computer-science/lncs/conference-proceedings-gui… Ø Visit https://wi-lab.com/cyberchair/2018/bi18/scripts/ws_submit.php?subarea=S Ø Select the link: Special session on Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data Ø Select the link Submit a New Paper (TYPE I Submission) Ø Provide paper details (i.e., Author(s), Paper Title, Abstract, Keywords, PDF file to upload). *Important dates:* Ø Paper submission deadline: *30 July 2018* Ø Decision notification: *30 August 2018* Ø Special Session date: *7 December 2018* Ø Conference dates: *8-9 December 2018*. With kindest regards, *Mufti Mahmud, PhD* | (Senior) Lecturer of Computing & Technology <https://www.ntu.ac.uk/sat/about/academic_teams/comp_tech.html> | School of Science & Technology <https://www.ntu.ac.uk/sat/> | Nottingham Trent University <https://www.ntu.ac.uk/> Office: ERD200 | Erasmus Darwin Building | Clifton Campus | NG11 8NS – Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud(a)ntu.ac.uk Meeting requests: https://doodle.com/mufti <http://orcid.org/0000-0002-2037-8348> http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://sites.google.com/site/muftimahmud/ https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud Senior Member, IEEE <https://www.ieee.org/> & ACM <https://www.acm.org/> Associate Editor, IEEE Access <http://ieeeaccess.ieee.org/> Editorial Board Member, Cognitive Computation <https://www.springer.com/biomed/neuroscience/journal/12559> & Big Data Analytics <https://bdataanalytics.biomedcentral.com/> Student consultation hours: Drop-in sessions on Thursdays between 11.00 am and 12.30 pm. Appointments for a different time can also be arranged through email.

July 24, 2018

Postdoc in Computational and Mathematical Neuroscience (closing 29 July; EPSRC funded)

by James Rankin

**closes soon*, on 29 July* *Postdoctoral Research Fellow in Computational and Mathematical Neuroscience* Location: College of Engineering, Mathematics, Physical Sciences at the University of Exeter (Streatham Campus) Job reference: P62935 Application closing date: *29/07/2018* Interview date: *10/08/2018* Salary From £34,520 on Grade F, dependent on knowledge, skills and experience This new full-time post is available from *1st October 2018* on a fixed term contract basis for *2 years*. The College of Engineering, Mathematics and Physical Sciences, wishes to recruit a Postdoctoral Research Fellow to participate in the project Neural oscillator network modelling of auditory stream segregation. This EPSRC funded post is available from 01/10/2018 for 2 years. The successful candidate will join the Systems Biomedicine and Dynamical Systems research groups housed in the recently launched GBP 50m Living Systems Institute at the University of Exeter. These groups house over 50 researchers applying mathematical and computation approaches to study problems in neuroscience, biology and healthcare. The project will benefit from input from colleagues with expertise in neural networks, bifurcation theory, coupled oscillators and numerical methods. The Post: The project will involve developing mathematical and computational models to deepen our understanding of auditory stream segregation. This is a fundamental process in the auditory system that allows us to separate out and focus on distinct sound streams (e.g. voices) in a dynamic noisy environment. This process involves competition in order to resolve different interpretations of a given environment (e.g. different groupings of objects). Many aspects of this process are still not well understood, such as where in the brain segregation of streams is achieved, how the streams are encoded and the driving neural mechanisms. This project will develop a biologically motivated model inspired by a broad cross section of modelling and experimental literature (from anatomical, neurophysiological, brain imaging and behavioural experiments). The models developed will be based on networks of coupled neural oscillators. Neural oscillations are understood to be vital for the encoding of temporal information in auditory streaming. Dynamical systems theory including bifurcation analysis and numerical methods will provide the necessary tools to understand the dynamics of the models developed. About you: - Candidates with quantitative backgrounds (Mathematics, Physics, Engineering) and from Neuroscience programmes with a strong computational component are encouraged to apply. - Applicants will possess a PhD or equivalent in one of these areas or a related field. T - You will also be able to work collaboratively and supervise the work of others. - Programming experience in a high-level language (e.g. Matlab, Python, C/C++) is a must and knowledge of dynamical systems theory is a plus. - Experience working on interdisciplinary projects involving the application of mathematical and computational tools to problems in Biology or Neuroscience will be viewed favourably. The University offers some fantastic benefits including 41 days leave per year, options for flexible working, numerous discounts at leading retailers, onsite gym, cycle to work scheme, sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy; and a stunning campus environment in the heart of Exeter. If you are not currently in Exeter please have a look at our website for some further information on what a beautiful part of the country we are based in. *For further information, please contact Dr James Rankin, email j.a.rankin(a)exeter.ac.uk <j.a.rankin(a)exeter.ac.uk>* https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC1 07GF.open?VACANCY_ID=258266M3V7&WVID=3817591jNg http://emps.exeter.ac.uk/mathematics/staff/jar226 The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

July 24, 2018

IMBIZO DEADLINE TOMORROW: IBRO Simons Computational Neuroscience Imbizo 2019

by Tim Vogels

Dear all, I’d like to remind you that the deadline for next year's IBRO-Simons computational neuroscience imbizo is TOMORROW Tell your friends, and tell your students, especially your African students, as we are still lacking a proper pipeline to disseminate this information. The Imbizo is a summer school in computational neuroscience and machine learning, hosted January 6th - 27th 2019 in Cape Town, South Africa. We are generously sponsored by the International Brain Research Organisation (IBRO) and the Simons Foundation (Simons). TO APPLY visit https://imbizo.africa <https://imbizo.africa/> IF YOU ARE NOT SURE WHETHER YOU CAN AFFORD IT, BY ALL MEANS, APPLY. We have generous merit-based awards and stipends to give away!! The Imbizo is designed to introduce students with backgrounds in analytic fields (computer science, statistics, physics, mathematics, engineering, etc.) to the field of computational neuroscience. It will also benefit advanced experimental biologists who would like to learn more computational skills. It also provides an opportunity for students already working in computational neuroscience to do 3 weeks of intensive, focused work in a different sub-topic of the field. Students should generally be at Masters/early PhD level, and have completed at least a 2nd-year university level course in computer science, statistics, physics or mathematics. Some coding experience will also be helpful. More advanced level students (post-Docs, early career PIs) may also be accepted if they can motivate how the courses at the Imbizo could help their career. Well motivated, exceptional undergraduates will also be considered. African students are especially encouraged to apply. The faculty for 2019 include: Dora Angelaki (Bayor College, Houston) Demba Ba (Harvard Uni, Boston) Sophie Denève (ENS, Paris) Adrienne Fairhall (Univ of Washington, Seattle) Peter Latham (Univ College London) Timothy Lillicrap (Google Deepmind, London) Joseph Raimondo (Univ of Cape Town) Athanassia Papoutsi (IMBB-FORTH, Hellas) Srikanth Ramaswami (EPFL, Lausanne) Blake Richards (Univ Toronto) Andrew Trevelyan (Newcastle Univ., Newcastle) Misha Tsodyks (Weizmann Inst., Rehovot) Tim Vogels (Oxford) Byron Yu (Carnegie Mellon Univ, Pittsburgh) TO APPLY visit https://imbizo.africa <https://imbizo.africa/> "Imbizo" is an isiXhosa word, meaning "A gathering to share knowledge". The aim of the isiCNI is exactly this: to create an environment in which young African and international students can explore computational neuroscience together, forming strong friendships in the process. Three weeks of intensive lectures, tutorials, projects and fun! Who should apply? The Imbizo is designed to introduce students with backgrounds in analytic fields (computer science, statistics, physics, mathematics, engineering, etc.) to the field of computational neuroscience. It will also benefit advanced experimental biologists who would like to learn more computational skills. It also provides an opportunity for students already working in computational neuroscience to do 3 weeks of intensive, focused work in a different sub-topic of the field. Students should generally be at Masters/early PhD level, and have completed at least a 2nd-year university level course in computer science, statistics, physics or mathematics. Some coding experience will also be helpful. More advanced level students (post-Docs, early career PIs) may also be accepted if they can motivate how the courses at the Imbizo could help their career. Well motivated, exceptional undergraduates will also be considered. African students are especially encouraged to apply. What does it cost? The attendance fee for the isiCNI2019 is EUR 1,100.00. Thanks to our generous sponsors, significant bursaries are available to subsidise and waiver student fees, and provide some travel bursaries. Funding will be allocated according to need and merit. Please be sure to complete the relevant section of the application. IF YOU ARE NOT SURE WHETHER YOU CAN AFFORD IT, BY ALL MEANS, APPLY. We have generous merit-based awards and stipends to give away!!

July 24, 2018

Invitation to Participate in Software Engineering Practices in Cognitive Modelling and Computational Neuroscience Survey

by Furkan Kurtaran

Dear All, As a part of Master's thesis research, I am conducting an online survey on software engineering practices and problems in developing cognitive and neuroscientific architectures/frameworks/simulators and computational models on those platforms. If you have been involved in developing such cognitive/neuroscientific modelling tools and computational models on them, we will be grateful if you could answer our survey questions in the link given below: http://moodle.atilim.edu.tr/anket/index.php?r=survey/index&sid=579941&lang=… [1] The participation is voluntary and anonymous; the survey will take about 10 minutes. We hope to better understand and develop suggestions for improving cognitive modelling and computational neuroscience software from a software engineering point of view at the end of our research. As a symbol of gratitude of your participation, participants who complete the survey will be eligible for a prize draw for a $40 book check from Amazon. Best Regards, -- Furkan Kurtaran Computer Engineering Department Research Assistant Atilim University https://www.atilim.edu.tr/en/compe/page/1595/academic-staff Links: ------ [1] http://moodle.atilim.edu.tr/anket/index.php?r=survey/index&sid=579941&a…

July 23, 2018

Software Development Position -- University of Tübingen

by Andrea Burgalossi

A position as 'Data Analyst & Software Developer' is immediately available in the Burgalossi lab (www.burgalossilab.com) He/she will work closely with neuroscientists for developing software for the analysis of electrophysiological data and animal behavior (rodents). Specific tasks will also involve programming virtual-reality and/or video-tracking hardware, and developing software for the detection and scoring of animal behaviors. A strong quantitative background (e.g. degree in statistics, computer science, physics, mathematics, engineering, etc.) and excellent programming skills (e.g. MATLAB) are necessary. Background in neuroscience and experience in methods for neural data analysis are a plus. Candidates at various levels of academic degree (BSc, MSc, PhD) will be considered for this position. Applications should contain CV and names of at least two referees. Please send your application (or informal inquiries) electronically to Andrea Burgalossi (andrea.burgalossi(a)cin.uni-tuebingen.de) -- Andrea Burgalossi, PhD Cellular and Synaptic Basis of Behaviour Werner Reichardt Centre for Integrative Neuroscience (CIN) Otfried-Müller-Straße 25 72076 Tübingen Tel: +49-(0)7071-29-88797 Fax: +49-(0)7071-29-25006 Lab web: burgalossilab.com CIN web: http://www.cin.uni-tuebingen.de

July 18, 2018

HFSP postdoc in limbo, and perhaps at ENS

by Alessandro Treves

A postdoc is sought to join a HFSP-funded project to study analog cortical computations in linguistic processes. A collaboration with Naama Friedmann (TAU) and Remi Monasson (ENS) which includes, at SISSA, Sara Andreetta and several PhD students. Ideal candidates are interested in language but have expertise in mathematical approaches to neural computation - complementary to Sara's in behaviour. A fruitful interaction with Remi and his group may lead to a period based in Paris. Applications to be submitted by August 6, 2018, as indicated in https://www.sissa.it/bandi/selezione-pubblica-titoli-conferimento-di-n-1-as… (note: by 1pm!) with starting date Oct 1st. Inquiries at ale(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

July 16, 2018

Postdoc positions on Consciousness Research at Monash Uni, Australia

by Naotsugu Tsuchiya

Position A: DP180100396 (in collaboration with Masafumi Oizumi, Hiroto Kawasaki, Giulio Tononi) No report paradigm in EEG/MEG/intracranial recordings and the analysis of integrated information across sensory and prefrontal cortex Position B: DP180104128 (in collaboration with Marta Garrido, Ueli Rutishauser, Ralph Adolphs) The analysis of MEG/intracranial recordings, using Granger causality and integrated information We are looking for highly talented postdocs (application from PhD students with a prospect of getting PhD in 1 year are welcomed) for the above two ARC-funded positions. Ideal candidates in both positions would have strong publications, strong programming skills in Matlab/Python, strong background in data analysis, preferably neuroimaging data or neural spikes. The projects include 1) design of various psychophysical paradigms (*pdf <https://academic.oup.com/nc/article/doi/10.1093/nc/niw023/2970153/Are-we-un…>)*, including no-report paradigms (*pdf <https://drive.google.com/file/d/0B9N0ysU85rs7bEF5d1VVX3J4T3c/view>*), which can be used for subsequent EEG/MEG/intracranial recording experiments and 2) analysis of EEG/MEG/intracranial data using the approximations of integrated information (link1 <http://www.eneuro.org/content/4/5/ENEURO.0085-17.2017>, *link <https://drive.google.com/open?id=0B9N0ysU85rs7NFVSQlIza215eVU> *, *link <http://www.pnas.org/content/early/2016/12/02/1603583113.abstract>*, *link <http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.10046…>)* ). Please send the inquiry with your CV to naotsugu.tsuchiya(a)monash.edu. Applicants with most fit background and skills will be contacted for subsequent interview over the internet. The positions will be available until they are filled. Regards Nao Tsuchiya -- -- *Nao (Naotsugu) Tsuchiya* Associate Professor *Monash Institute of Cognitive and Clinical Neurosciences* Attention and Memory Program School of Psychological Sciences Monash University 770 Blackburn Monash Brain Imaging facility, Clayton, VIC 3800 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya(a)monash.edu W: homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage http://med.monash.edu.au/psych/email-sig/miccn-email-sig.jpg <http://www.monash.edu/neuro-institute/> 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701

July 16, 2018

Postdoctoral / Research Specialist position in Neural Circuits and Behavior @ Janelia (USA)

by Reiser, Michael

Postdoctoral / Research Specialist position in Neural Circuits and Behavior https://www.janelia.org/lab/reiser-lab/positions The Reiser lab at the Janelia Research Campus seeks a creative scientist to join our endeavor to understand how the fly brain uses visual information to control behavior. We use behavioral, anatomical, imaging, electrophysiological, and computational techniques to crack the neural circuits for vision and navigation in Drosophila. This is an exciting time to be working on the fly brain. It is the golden age of Drosophila neuroanatomy—full brain connectomes and precise genetic access to nearly every cell type in the brain are on the horizon. It is likely that within the next few years the behavioral methods used for establishing functional roles for identified cell types will become rate limiting. We have developed a number of new instruments and methods for high-content behavioral analysis and are recruiting a scientist to help with the development and application of these new tools. In this position you would lead our efforts to apply these new tools to deeply map behavioral circuits. Many specific projects are possible that are related to active research topics in the lab (visual motion guided behaviors; visual place learning; central modulation of visual circuits). Requirements: - A keen interest in figuring out the brain. - Ph.D. in neuroscience, experimental biology, or a quantitative field. - Familiarity with diverse computing environments. - Experience in animal behavior, neuroanatomy, neurophysiology, instrumentation, computer vision, machine learning, and/or computational neuroscience is a big plus. Janelia is a unique, exciting research environment near Washington, D.C., with abundant opportunities for collaboration and learning new things. Interested applicants should apply by email; please include your curriculum vitae and research interests and arrange for three letters of reference to be sent to reiserm at janelia.hhmi.org. The Reiser lab is committed to maintaining a diverse and inclusive environment. Members of groups underrepresented in science are especially encouraged to apply. HHMI is an equal opportunity employer.

July 15, 2018

Open Ph.D. position on whole-brain calcium imaging at Technical University of Munich

by Gil Westmeyer

We are currently looking for a Ph.D. Student interested in functionally dissecting whole-brain calcium imaging data with cellular resolution obtained from zebrafish larvae undergoing systematic perturbations of neuronal activity. Our laboratory (westmeyerlab.org) at the School of Medicine of Technical University of Munich (https://www.tum.de/nc/en/homepage/) and The Institute for Biological and Medical Imaging (IBMI) http://www.helmholtz-muenchen.de/en/ibmi/ focuses on biological engineering of molecular sensors and actuators for neurobehavioral imaging. We have built a molecular imaging pipeline consisting of state-of-the-art fluorescent imaging techniques including neurobehavioral methods to simultaneously image behavior and brain activity in freely behaving animals (see for example NeuBtracker.org) We complement these dataset with exoeriments conducted by Light Sheet Microscopy and Light Field microscopy to obtain imaging volumes with high temporal sampling and confocal / 2-photon microscopy. We also capture calcium signaling from adult zebrafish and rodent brains using combined acquisitions with optoacoustic tomography or MRI. For our inter-disciplinary work, we are actively collaborating within Europe and in particular also with MIT and Caltech. If you are interested in computational analyses of whole-brain calcium imaging data, please visit westmeyerlab.org and submit a brief statement of your research interests and your CV to Gil Westmeyer.

July 14, 2018

Postdoctoral positions in Rinberg and Shoham labs

by Rinberg, Dmitry

The Rinberg and Shoham labs at NYU Medical School are seeking to fill multiple postdoctoral positions at the interface of computational systems neuroscience and advanced neurotechnology. The goal of our studies is to elucidate how sensory information is represented in the brain, and how the brain extracts information relevant for behavior. We are using rodent olfaction as a model system, and employing multiple modern techniques including one- and two-photon imaging and patterned optogenetics, Si-probe electrophysiology, and psychophysics approaches. In addition to conventional tools, we are developing new cutting edge optical, opto-acoustic and computational tools for bidirectional neural interfacing and applying these tools towards high-precision probing and monitoring of information processing in behaving animals. The postdoctoral researches will be involved in joint and individual lab projects. This is an excellent opportunity for computationally and technologically inclined candidates to find their niche in-between developing cutting edge technologies and applying the technologies to fundamental scientific questions. Our labs are part of NYU’s vibrant world-class hub for computational systems neuroscience, and of NYU Tech4Health, a new biomedical technology development institute. An ideal candidate should have a background in neuroscience, physics/engineering and math. Knowledge and experience in optics, imaging, multi-neuron physiology and computational methods are a big plus. Please contact Dima Rinberg: rinberg(a)nyu.edu<mailto:rinberg@nyu.edu> or Shy Shoham: shoham(a)nyu.edu<mailto:shoham@nyu.edu> See also: www.rinberglab.com<http://www.rinberglab.com>, niel.net.technion.ac.il<http://niel.net.technion.ac.il> ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email. =================================

July 12, 2018

Call for Papers: Workshop on Understanding Developmental Disorders at ICDL-EPIROB 2018

by Anja Philippsen

==================================================== Workshop "Understanding Developmental Disorders: >From Computational Models to Assistive Technologies" ==================================================== Website: http://cognitive-mirroring.org/en/events/icdlepirob2018_workshop/ Date: September 17, 2018 (full day) Venue: Waseda University, Tokyo, Japan We invite the submission of short papers (2-4 pages incl. references) to our workshop on "Understanding Developmental Disorders: From Computational Models to Assistive Technologies" which takes place in conjunction with the 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB 2018) http://www.icdl-epirob.org The aim of this workshop is to bring together researchers from robotics, developmental psychology and cognitive sciences for discussing computational and theoretical models of developmental disorders and of typical development, and sharing recent advances in robot therapy and assistive technology. Invited speakers include: - Tony Belpaeme (ID Labs, Ghent University, Belgium / CRNS, Plymouth University, UK) - Thusha Rajendran (Heriot-Watt University, Edinburgh) - Shinichiro Kumagaya (Research Center for Advanced Science and Technology (RCAST), The University of Tokyo) - Yasuyo Minagawa (Keio University, Tokyo) We encourage submissions about ongoing work from various research fields with the goal of fostering interdisciplinary discussions. Topics of interest include, but are not limited to: - Computational models of human cognition and development - Theoretical models of human cognition and development - Robot therapy and assistance for people with disorders - Behavioral or neurocognitive studies on developmental disorders or typical development - Predictive coding - Tojisha-kenkyu (self-study of people with disorders) - Autism spectrum disorder Papers should be 2-4 pages incl. references, following the template of the main conference (pdf, IEE two-column format: http://icdl-epirob2018.ogata-lab.jp/submission/) and submitted via EasyChair: https://easychair.org/conferences/?conf=udd18 All accepted papers will be presented during the poster session and in spotlight talks. Submission deadline: August 13, 2018 Notification of acceptance: August 27, 2018 Workshop day: September 17, 2018 (full day) We are looking forward to seeing you at the workshop! For more information and updates please visit our workshop website: http://cognitive-mirroring.org/en/events/icdlepirob2018_workshop/ Organizers: Anja Philippsen and Yukie Nagai, National Institute of Information and Communications Technology (NICT), Osaka, Japan -- Anja Philippsen, M.Sc. Researcher, Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan http://developmental-robotics.jp/en/members/anja_philippsen/

July 12, 2018

ESI SyNC Conference 2018 - Integrative Mechanisms of Cognitive Neuroscience

by André Castro

Dear all, we are pleased to announce the 2018 edition of the ESI Systems Neuroscience Conference (ESI SyNC) on the topic of “Integrative Mechanisms of Cognitive Neuroscience" organized by the [Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society](http://www.esi-frankfurt.de/esi-frankfurt/) in Frankfurt am Main, Germany. The conference will begin in the morning of 30 August and end in the evening of 31 August 2018. Our confirmed invited speakers are the following: - David Melcher (University of Trento, Italy) -- "Temporal rhythms of visual perception" - Dimitri Kullmann (UCL, UK) -- "Hippocampal gamma oscillations: dynamical properties and closed-loop manipulation" - Matteo Carandini (UCL, UK) -- "Local and global neural correlates of vision, action, and reward" - Biyu He (NYU, US) -- tba - Melanie Wilke (DPZ, Germany) -- tba - Wim Vanduffel (KU Leuven, Belgium) -- "Optogenetic interrogation of the attention network in primates" - Anitha Pasupathy (University of Washington, US) -- "Encoding things and stuff: multiplexed form and texture signals in primate V4" - Floris de Lange (Radboud University, Netherlands) -- "How do prior expectations influence sensory computations?" - Hannah Monyer (Heidelberg University, Germany) -- tba - James Bisley (UCLA, US) -- tba This year we have the pleasure to announce as our special guest the choreographer Ildikó Tóth! The registration deadline: 15 August 2018. Please see our [website](http://www.esi-frankfurt.de/esisync/esisync-home/) for more details and updates on the programme. Organising Committee: Wolf Singer Pascal Fries André Castro Tommaso Tosato Ana Broggini Miriam Mueller Renata Vajda

July 11, 2018

PhD Scholarships in Computing and Information Systems at the University of Melbourne

by Uwe Aickelin

I am seeking expressions of interest for PhD scholarships in the School of Computing and Information Systems at the University of Melbourne in the areas of Artificial Intelligence, Optimisation and Datamining. Established in 1853, the University of Melbourne is consistently ranked among the leading universities in the world, holding the number 1 spot in Australia. The School of Computing and Information Systems is an international research leader in computer science and information systems. In this discipline, the School was ranked number 1 in Australia and 14th in the world in the 2018 QS World University Ranking exercise. These scholarships include a tax-free living allowance of $30,600 per year (2019 rate) for up to 3.5 years. There is potential for the applicants to earn additional money through assistance in undergraduate teaching, and top-up scholarship options are also available. These scholarships are available to applicants of any nationality, who will also be exempt from the full tuition fee costs for the duration of candidature. See this link for more information on the scholarship: https://scholarships.unimelb.edu.au/awards/graduate-research-scholarships I am looking for candidates in the top 5% of their graduating cohort, or with an overall result in the top echelon for their degree. e.g. H1 (80-100%), High Distinction, A, 3.5 out of 4 GPA etc. Students should have completed a master’s degree that included a research project/thesis that accounts for at least 25% of one year's work in a relevant discipline. Please see these pages for further details regarding entry requirements: http://www.eng.unimelb.edu.au/study/degrees/phd/entry-requirements#entry-re… To express your interest in these PhD Scholarships please send your CV including details of two referees, a full copy of your academic transcripts (Bachelor and Master) and a one-page cover letter which outlines your research skills, experience and why this PhD opportunity interests you to uwe.aickelin(a)unimelb.edu.au. Suitable applicants will be contacted for an interview and given further instructions how to submit a formal application. Closing Dates for Expressions of Interest for 2019: 31 July 2018 Uwe Aickelin

July 11, 2018

Post-doc at FIAS - Computational Modeling of Epilepsy: Conducting Interviews at CNS*2018

by Peter Jedlicka

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 CNS*2018 in Seattle (July 13-18). 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 CNS, 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

July 11, 2018

Fwd: Postdoctoral Research Associate- Neural Interfaces

by Alistair McEwan

Postdoctoral Research Associate- Neural Interfaces - Join an organisation that encourages progressive thinking - 2 year Full Time Fixed Term role with a possibility of extension. Located at Camperdown Campus - Remuneration package: $90K-96K p.a. base salary and competitive employer’s contribution to superannuation *School of Electrical and Information Engineering* *Faculty of Engineering & Information Technologies* *Reference No. 1201/0618F* *About the opportunity * Applications are invited for a *Postdoctoral Research Associate- Neural Interfaces* for long-term implantable therapy in cerebral palsy with Professors Alistair McEwan and Gregg Suaning in the Bioelectronics and Bionics research groups at the University of Sydney, Australia. The role is expected to undertake research and coordinate experimentation and performance testing of an implantable neural stimulator for the acquired brain injuries including cerebral palsy. In this project we will examine electrical stimulation as an established approach for the restoration of muscle movement, but with currently limited utility as a therapy. There are two primary causes for this: poor selectivity in the activation of desired muscles, that may result in unwanted contractions; and the co-activation of efferent (e.g. motor) and afferent (e.g. sensory) fibres. In this ex-vivo study we focus upon solving these two key issues so that electrical stimulation can become a viable therapy in the treatment of acquired brain injuries and in particular, cerebral palsy. Targeted stimulation or blocking of peripheral fibres that lead to rigidity and pain would alleviate these two major areas of unmet need in cerebral palsy. The project involves developing an ex-vivo model and collecting experimental evidence of nerve fibre selectivity for selective activation of targeted muscle groups, capacity to release hypertonic muscles and management of pain to lead to the design of an implantable device for the rehabilitation of people with cerebral palsy. We aim to achieve improved efficacy in selective activation of targeted muscle groups, provide the capacity to release hypertonic muscles and manage pain; and devise a new implantable device for the rehabilitation of people with cerebral palsy to manage muscle movement. We collaborate with labs at Harvard, Case Western, The University of Freiburg, and UCL. More information can be found here: http://sydney.edu.au/engineering/our-research/biomedical-engineering/ institute-of-biomedical-engineering-and-technology/biomedical-devices-and- instrumentation.html https://www.cerebralpalsy.org.au/sstposts/StoryId1522298671037 https://www.cerebralpalsy.org.au/sstposts/StoryId1528960251002 *About you* The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance in recruiting talent aligned to these values in the pursuit of research excellence. We are looking for a *Postdoctoral Research Associate- Neural Interfaces* with: - PhD in Biomedical engineering or a similar field such as bio-electronics, bio-physics or neuroscience. - An understanding of electronics, signal processing, materials, and neurostimulation techniques. - Interest in working with a multi-disciplinary team including physiotherapists, clinicians and families living with cerebral palsy Please refer to the Candidate Information Pack for further information. To be considered, it is essential that you upload a resume and address the online selection criteria. *About us* Cerebral Palsy is the most common childhood disability with life-long impact, no cure, uncertain origins and delayed diagnosis. We work with the Cerebral Palsy Alliance research foundation to develop technology for treatment, intervention, prevention and cure. We focus on opportunities for control of muscle groups, spasticity and sensory perception including pain. While people with spinal cord injury have been the target of motor prosthesis to date there are additional challenges to explore in cerebral palsy such as developmental differences and viable afferent pathways that may convey pain and other sensory signals. We see opportunities in both central and peripheral stimulation and monitoring. Our group has a background in impedance recordings which might be used as a novel monitoring tool or to optimise stimulation patterns. We also use electrical tissue properties to better identify pathological tissue and guide electrical stimulation, electroporation and heating in the management of electrical signaling pathways. The University of Sydney is ranked number 1 in the world for physical therapy, sports therapy and rehabilitation and consistently ranks first or second in Australia for Engineering, Science and Medicine. The University is situated in the vibrant international city of Sydney close to some of the world’s best beaches and natural environments. Since our inception 160 years ago, the University of Sydney has led the research and teaching to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australias first university and have an outstanding global reputation for academic and research excellence. Across 9 campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us. Specific enquiries can be directed to Professor Alistair McEwan at alistair.mcewan(a)sydney.edu.au For more information about the position, or if you require reasonable adjustment or support filling out this application, please contact Emmen Saeed, Recruitment Partner on emmen.saeed(a)sydney.edu.au . If you would like to learn more, please refer to the Candidate Information Pack for the position description and further details *Closing date: 11:30pm 5 August 2018 (Sydney time)* The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged. The University reserves the right not to proceed with any appointment. Candidate Information Pack <https://sydney.nga.net.au/publicfiles/sydney/jobs/9B19927D-F815-451C-9D4D-A…> How to apply: - Start your application by clicking the "begin" button. - Login to an existing account <https://sydney.nga.net.au/cp/index.cfm?event=jobs.gotoLogin&CurATC=EXT&CurB…> or reset your password <https://sydney.nga.net.au/cp/index.cfm?event=reg.forgottenPassword&CurATC=E…> - Preview Application Form <https://sydney.nga.net.au/cp/index.cfm?event=jobs.previewApplication&CurATC…> -- ALISTAIR MCEWAN | Ainsworth Chair of Technology and Innovation, Cerebral Palsy Alliance, Biomedical Devices and Instrumentation Coordinator, BMET Institute Faculty of Engineering and Information Technologies THE UNIVERSITY OF SYDNEY School of Electrical and Information Engineering, J03 The University of Sydney | NSW | 2006 T +61 2 9351 7256 | F +61 2 9351 3847 E alistair.mcewan(a)sydney.edu.au | W sydney.edu.au CRICOS 00026A This email plus any attachments to it are confidential. Any unauthorised use is strictly prohibited. If you receive this email in error, please delete it and any attachments. Please think of our environment and only print this e-mail if necessary.

July 11, 2018

Deadline extended to July 20: Symposium and summer school on the Logistics of Neuronal Function, Frankfurt, Germany

by Jochen Triesch

We invite applications from PhD students and post-docs to participate in a two-week summer course on the Logistics of Neuronal Function in Frankfurt am Main, Germany, from August 28 to September 7. Neurons face a variety of logistics challenges. They need to organize the production, transport, storage, and recycling of various molecules such as neurotransmitters, mRNA, and proteins to fill their extensive dendritic and axonal arbors. For example, most proteins have turnover rates of several days, which implies that neurons must organize the production and transport of vast numbers of proteins to maintain their structure and function. Due to their large size compared to other cells of the body, these problems are particularly severe for neurons. It is likely that evolution has driven neurons to find robust and efficient solutions to these challenges. So how do they organize production, transport, delivery, storage, and recycling processes and how are logistic failures related to nervous system disorders? This first workshop and summer school on the logistics of neuronal function bring together leading experimentalists, theoreticians, and method developers to exchange ideas on these fundamental questions. Organizers: Jochen Triesch, Frankfurt Institute for Advanced Studies Erin Schuman, MPI Brain Research, Frankfurt Tatjana Tchumatchenko, MPI Brain Research, Frankfurt Christian Tetzlaff, Georg-August University, Göttingen Confirmed Speakers of the Giersch International Symposium (August 28 - September 1): Maarten Altelaar, Utrecht, Netherlands Peter W. Baas, Drexel U., USA Upinder S. Bhalla, TIFR, India Long Cai, Caltech, USA Daniel Choquet, Bordeaux, France Guillaume Drion, Liege, Belgium Seth Grant, University of Edinburgh, UK Kristian Franze, U. of Cambridge, UK Lukas Kapitein, Utrecht, Netherlands Ken Kosik, UC Santa Barbara, USA Timothy O’Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Jeremy Niven, U. of Sussex, UK Marianne Renner, Institut du Fer a Moulin, France Erik De Schutter, OIST, Japan Antoine Triller, École Normale Superièure, France Noam Ziv, Technion, Israel Confirmed Giersch Summer School Lecturers (September 3 - 7): Eric Hosy, U Bordeaux, France Timothy O’Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Marianne Renner, Institut du Fer a Moulin, France Christian Tetzlaff, U. Göttingen, Germany Jochen Triesch, FIAS, Germany Special Public Talk by: Nobel Laureate Edvard Moser The third "Giersch International Symposium", will take place at the Frankfurt Institute for Advanced Studies. The conference series, funded by STIFTUNG GIERSCH gives young scientists the opportunity to learn from well known, exceptional researchers and to expand their networks. Accommodation and meals are provided free of charge. To apply visit: https://indico.fias.uni-frankfurt.de/event/11/overview and see the instructions there. Required materials include: CV, letter of recommendation from supervisor, poster abstract, and short text specifying the reason for participation. Application Deadline: July 20 Contact: gis2018(a)fias.uni-frankfurt.de -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

July 10, 2018

PhD position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium

by Georgios A. Keliris

Postdoc position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium The Faculty of Pharmaceutical, Biomedical and Veterinary is seeking to fill a full-time (100%) vacancy (m/f) in the Department of Biomedical Sciences (Bio-Imaging Lab) under the supervision of Prof. Georgios A. Keliris Post-doc position investigating the role of neuromodulation in learning and memory The goal of the project is to understand the neural mechanisms modulating learning and memory in rats. A multimodal approach and combination of state-of-the-art methods (MRI-imaging, electrophysiology, optogenetics and pharmacogenetics) will be used to uncover both the global network as well as specific cellular mechanisms. This approach will also be employed in animal models of neurodegenerative diseases such as Alzheimer’s Disease. Profile and requirements · You hold a PhD degree in neuroscience, biomedical sciences, or related fields. · You can submit outstanding academic results. · Foreign candidates are encouraged to apply. · Your academic qualities comply with the requirements stipulated in the university’s policy <https://www.uantwerp.be/en/about-uantwerp/mission-vision/three-core-tasks/r…>. · You are quality-oriented, conscientious, creative and cooperative. · You are fluent in English and have strong communication skills, both in writing and oral presentations · You are a team player · Strong background in one or more of: imaging, computational neuroscience, mathematics, programming (e.g. Matlab/Python/C/R/…) will be considered as a bonus We offer · a post-doctoral position for a period of one year, with the possibility of renewal after positive evaluation · the start date is as soon as possible · a dynamic and stimulating work environment. How to apply? · Applications should be submitted to Georgios.Keliris(a)uantwerpen.be <mailto:Georgios.Keliris@uantwerpen.be> and should include a copy of your CV and a cover letter. Please use the following string in the subject: NMPDBILGAK18 · A pre-selection will be made from amongst the submitted applications. · More information about the application and the position can be obtained from Prof. Georgios A. Keliris by email:georgios.keliris@uantwerpen.be <mailto:georgios.keliris@uantwerpen.be> or tel.: +32 3 265 2772 The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label 'HR Excellence in research'. Prof. Dr. Georgios A. Keliris FBD/Biomedical Sciences Campus Drei Eiken – D.UC. 107 Universiteitsplein 1, 2610 Wirijk, BE Georgios.Keliris(a)uantwerpen.be <mailto:Georgios.Keliris@uantwerpen.be> P +32 3 265 27 72 <https://twitter.com/UAntwerpen> <https://www.facebook.com/UAntwerp> <https://plus.google.com/+UantwerpenBe/posts> <https://www.linkedin.com/company/university-of-antwerp>

July 10, 2018

TENURE TRACK POSITION IN DATA SCIENCE AT ICTP - TRIESTE

by Matteo Marsili

TENURE TRACK POSITION IN DATA SCIENCE AT ICTP ICTP is seeking applicants for a new tenuree track position in theoretical computer science and data science. The successful applicant will undertake front-line research in the fields related to theoretical computer science and data science (e.g. machine learning and high dimensional statistics, information and coding theory, probabilistic models, combinatorial optimization and computational complexity, rigorous mathematical approaches and statistical physics approaches in computer science, theory of algorithms and high performance computing). He's also expected to assist in developing projects on data science in collaboration with ICTS and ICTP scientific groups. Applicants should have a documented record of excellence in research in theoretical computer science and data science, with at least two years of scientific research experience. For further details please see http://users.ictp.it/general/vn_QLS_DataScience.pdf <http://users.ictp.it/general/vn_QLS_DataScience.pdf> ICTP, based in Trieste, Italy, provides a top class multi-disciplinary research environment in theoretical sciences, with cutting edge research, education and training, and it has been a driving force behind global efforts for the advancement of science in the developing world. Matteo Marsili Senior Research Scientist, Abdus Salam ICTP, Strada Costiera 11, 34014, Trieste Ph: +390402240461, fax: +3904022407461, email: marsili(a)ictp.it

July 10, 2018

Workshop on High Performance Computing Resources for Neuroscience

by Ted Carnevale

High Performance Computing Resources for Parallel Simulations and Data Analysis: NSG and HPAC Saturday, Nov. 3 from 9 AM to noon at downtown San Diego location. SUMMARY This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/) The workshop will combine hands-on instruction on how to use NSG with didactic presentations by NSG and HPAC developers and discussions with experienced users of these resources. The registration deadline for this workshop is Friday Oct. 12, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2018/nsg2018.html for more information and a link to the registration form. OVERVIEW OF NSG AND HPAC NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, GENESIS, Human Neocortical Neuroserver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connectome Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks.

July 10, 2018

NEURON course at SFN 2018 meeting

by Ted Carnevale

Using NEURON to Model Cells and Networks Friday, Nov. 2 from 9 AM to 5 PM at a downtown San Diego location. This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reaction-diffusion with the RxD class. The registration deadline for this course is Friday Oct. 12, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html for more information and a link to the registration form. --Ted

July 10, 2018

Conducting Interviews at CNS*2018 - Post-docs @ EPFL, Switzerland

by Eilif Muller

Dear Comp-Neuro community, I wish to inform you of openings for fully funded post-doctoral positions in "Biophysical Neuron Modeling and Dendritic Computation", and in "Simulation Neuroscience" (see details below), at the EPFL Blue Brain Project, Biotech Campus, Geneva, Switzerland. I will be at the CNS*2018 in Seattle, July 13-18. I warmly encourage interested candidates who will be there to get in touch with me by email (incl. CV) to arrange for an in-person interview. For those not going to CNS this year, applications by email are also highly encouraged (see below). Best regards, Eilif ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller ------------------------------------------------------------------------------------- The EPFL Blue Brain Project (BBP), located on the Campus Biotech in Geneva, Switzerland, applies advanced data-driven simulations, neuroinformatics, data analytics, and HPC-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. Within the Cells & Circuits Section of the BBP, we are looking to fill the following post-doc positions: *** Post-doctoral Researcher in Simulation Neuroscience *** Postition Shortname: "PostDoc-SimNeuro" We are looking for exceptional candidates to join a diverse and highly motivated multi-disciplinary team working at the interface of neuroscience, physics and computer science. Do you have a PhD in neuroscience, computational neuroscience, computer science, physics or related field, and experience in scientific computing with python or the NEURON simulation environment? Are you a constructive team player with excellent writing and communication skills who thrives in collaborative environments? Then we would like to hear from you! Several research topics across the scales of neuroscience (subcellular molecular processes, ion channels, synapses, neurons, and circuits) in systems such as mammalian neocortex, thalamus, and hippocampus are possible based on the expertise and interests of the candidate. *** Post-doctoral Researcher in Biophysical Neuron Modeling and Dendritic Integration *** Postition Shortname: "PostDoc-NeuronModeling" The primary objective for this position is to strengthen on-going biophysical neuron modeling and validation efforts in the project, by undertaking original scientific research to characterize the role of intrinsic cellular mechanisms in computation and dynamics at the dendritic, neuronal and network level. Candidates are expected to supervise computational neuroscience students, and to develop an intimate knowledge of the employed software in order to interface with engineering teams. The position is in close collaboration with electrophysiology labs, and modeling will go hand in hand with available and newly acquired experimental data. Your profile : * PhD in neuroscience, computational neuroscience, physics or related field * Expert in NEURON and multi-compartment conductance-based modeling as demonstrated by strong publication record * Expert in scientific computing (python, scipy, numpy, hdf5, gsl, Linux, etc.) * Knowledge of whole cell electrophysiology, ion channel experiments * Experience in automated neuron model optimization techniques * Experience in other programming languages (C++), parallel computing and software development (unit testing, continuous integration, version control, debugging and documentation) is of advantage * Experience in supervision of students and teaching * Strong team player and fluent English in speech and writing We offer: * An internationally visible project in simulation-based research in neuroscience having a leading role in the EU FET flagship “Human Brain Project” * A young, dynamic, inter-disciplinary, and international working environment * Very competitive salary Application deadlines: Until positions are filled Term of employment: Fixed-term (CDD) Work rate: 100% Duration: 1 year (renewable) Contact: Please get in touch with me directly by email to arrange an interview at CNS*2018. Otherwise, applicants should submit a cover letter and a detailed CV in PDF format only, with filenames “<surname>_<position-shortname>_CoverLetter” and “<surname>_<positon-shortname>_CV” electronically to jobs.bbp(a)epfl.ch Please refer to the position title in the “subject” field.

July 9, 2018

Job opening for a Research Associate in computational auditory neuroscience at Imperial College London

by Reichenbach, Johann D T

Dear all, I am pleased to announce the opening for a Research Associate in in computational auditory neuroscience in my group at the Department of Bioengineering, Imperial College London. The successful candidate will work in an interdisciplinary setting combining computational and experimental methods in human auditory neuroscience. In particular, the project will explore how complex transcranial current stimulation can help to better perceive speech in noise. Full details including information for how to apply is here: https://www.imperial.ac.uk/jobs/description/ENG00430/research-assistantasso… Best, Tobias ------------------------------------------- Tobias Reichenbach Senior Lecturer (Associate Professor) Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

July 9, 2018

Postdoc positions in computational neuroscience at NYU-Shanghai

by Sukbin Lim

Two postdoctoral positions are available in Sukbin Lim's lab at NYU-Shanghai as part of NYU’s global network and the NYU-ECNU Institute of Brain and Cognitive Science (https://shanghai.nyu.edu/research/brain) The overarching goal of the lab is to understand network interactions and dynamics for learning and memory. We have thrived to provide a mechanistic understanding of local circuits and interactions among local circuits and to develop tools to reverse-engineer the mechanism. More information on the research can be found at http://shanghai.nyu.edu/research/brain/faculty/Sukbin-Lim. Environment: Institute of Brain and Cognitive Science at NYU-Shanghai is a multidisciplinary and collaborative research environment. Candidates will be encouraged to collaborate with systems and computational neuroscience labs, computer and data science groups at NYU-Shanghai and NYU. The initial appointment is for one year, renewable up to 3 years subject to progress. Globally competitive compensations will be provided. To Apply: Qualified applicants are expected to hold a Ph.D. by the start date of the position in computational and theoretical neuroscience, or related discipline with strong quantitative training in Mathematics, Physics, Computer Sciences, and Engineering. Strong programming skills (e.g., Python, MATLAB or C/C++) and experience in modeling networks/complex systems will be valued. Knowledge of Neuroscience would be a plus. Applications will be reviewed until the position is filled. To be considered, please send a curriculum vitae, short research statement and the names and contact information of two references to *sukbin.lim(a)nyu.edu <xinying.cai(a)nyu.edu>*. Also, I can meet with candidates at CNS 2018 meeting in Seattle or Bernstein conference in Berlin.

July 9, 2018

CFP- ACM-THRI Special Issue on Representation Learning for Human and Robot Cognition (Extended Deadline)

by Amir Aly

*ACM Transactions on Human-Robot Interaction (T-HRI) * CALL FOR PAPERS *(Extended Deadline)* **Apologies for cross posting ** We are happy to call for papers for the journal special issue: *"Representation Learning for Human and Robot Cognition"* *Webpage: **https://thri.acm.org/CFP-RLHRC.cfm <https://thri.acm.org/CFP-RLHRC.cfm> * <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Intelligent robots are rapidly moving to the center of human environment; they collaborate with human users in different applications that require high-level cognitive functions so as to allow them to understand and learn from human behavior within different Human-Robot Interaction (HRI) contexts. To this end, a stubborn challenge that attracts much attention in artificial intelligence is representation learning, which refers to learning representations of data so as to efficiently extract relevant features for probabilistic, nonprobabilistic, or connectionist classifiers. This active area of research spans different fields and applications including speech recognition, object recognition, emotion recognition, natural language processing, language emergence and development, in addition to mirroring different human cognitive processes through appropriate computational modeling. Learning constitutes a basic operation in the human cognitive system and developmental process, where perceptual information enhances the ability of the sensory system to respond to external stimuli through interaction with the environment. This learning process depends on the optimality of features (representations of data), which allows humans to make sense of everything they feel, hear, touch, and see in the environment. Using intelligent robots could open the door to shed light on the underlying mechanisms of representation learning and its associated cognitive processes so as to take a closer step towards making robots able to better collaborate with human users in space. This special issue aims to shed light on cutting edge lines of interdisciplinary research in artificial intelligence, cognitive science, neuroscience, cognitive robotics, and human-robot interaction, focusing on representation learning with the objective of creating natural and intelligent interaction between humans and robots. Recent advances and future research lines in representation learning will be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Language learning, embodiment, and social intelligence - Human symbol system and symbol emergence in robotics - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Cross-situational learning - Learning by demonstration and imitation - Language and grammar induction in robots *III. Submission* ACM Transactions on Human-Robot Interaction is a peer-reviewed, interdisciplinary, open-access journal using an online submission and manuscript tracking system. To submit your paper, please: - Go to https://mc.manuscriptcentral.com/thri and login or follow the "Create an account" link to register. - After logging in, click the "Author" tab. - Follow the instructions to "Start New Submission". - Choose the submission category “*SI: Representation Learning for Human and Robot Cognition*”. *IV. Timline* - Deadline for paper submission: *August 1*, 2018 - First notification for authors: September 15, 2018 - Deadline for revised papers submission: November 15, 2018 - Final notification for authors: January 15, 2019 - Deadline for submission of camera-ready manuscripts: March 1, 2019 - Expected publication date: May 2019 *V. Guest editors* Takato Horii, The University of Electro-Communications, Japan ( takato(a)uec.ac.jp) Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly(a)em.ci.ritsumei.ac.jp) Dr. Yukie Nagai, National Institute of Information and Communications Technology (NICT), Japan (yukie(a)nict.go.jp) Prof. Takayuki Nagai, The University of Electro-Communications, Japan ( nagai(a)ee.uet.at.jp) --------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

July 6, 2018

[meetings] Call for participation: Barcelona Cognition, Brain and Technology Summer School (BCBT2018)

by Vasiliki Vouloutsi

Dear colleagues, Please find below information regarding the Barcelona Cognition, Brain and Technology summerschool. ------------------------------------------ CALL FOR PARTICIPATION ------------------------------------------ Join us for the annual*"Barcelona Cognition, Brain and Technology summer school -BCBT2018*" to be held 3-14September2018in Barcelona, Spain. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (_http://csnetwork.eu/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__csnetwork.eu_&d=DwMFaQ&…>_). For the 2018 edition of the BCBT summer school, we are counting on thesupport of the Human Brain Project (*HBP*,**humanbrainproject.eu/en),the Institute of Bioengineeringof Catalonia (*IBEC*,ibecbarcelona.eu <https://urldefense.proofpoint.com/v2/url?u=http-3A__ibecbarcelona.eu_&d=DwM…>) and the*UPC Campus**Besòs*(eebe.upc.edu/ca/lescola <https://urldefense.proofpoint.com/v2/url?u=http-3A__eebe.upc.edu_ca_lescola…>). This is the 11th edition ofBCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakersincluding Nobel Laureate winner Edvard Moser and luminaries in the fields of neurosciences, psychology, biology, robotics and AI, such as M. Arbib, S. Grilner, G. Rizzolatti, among many. TheBCBTlectures are available onlineat theConvergentScienceNetwork_lectures youtube channel <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.youtube.com_user_C…>with theBCBTpodcast interviewswith many of theBCBTspeakers.http://csnetwork.eu/talks/podcast <https://urldefense.proofpoint.com/v2/url?u=http-3A__csnetwork.eu_talks_podc…> BCBTcaters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. TheBCBTschool promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. BCBTwill offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of theBCBTsummer school is informal with the goal to stimulate in-depth discussion. There are 2 or 3 presentations in the morning, with the afternoons reserved for tutorials and projects for student participantsand senior scientists with road-mapping workshops and further discussion. For the2018edition, we plan a*1^st week*of the school addressing*System level understanding of the brain and its emulation in advanced technology.*The*2^nd week*will include presentations aimed at the investigation of*Learning and Memory, Brain Function and Behavior**.*Friday14 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: 20 July2018* BCBTis organized by: Tony Prescott, Sheffield University - UK, Paul Verschure. ICREA and IBEC Barcelona, ES . - Anna Mura, IBEC Barcelona, ES. In collaboration with HBP Barcelona Cognition, Brain and Technology Summer School (BCBT2018) Institute of Bioengineering of Catalonia, Barcelona, UPC, Spain. 3-14 September 2018 specs.ibecbarcelona.eu/bcbt2018 -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS <http://specs-lab.com/>) mail: vvouloutsi(a)ibecbarcelona.eu <mailto:vvouloutsi@ibecbarcelona.eu> LinkedIn <https://www.linkedin.com/in/vicky-vouloutsi-28496133/> researchgate <https://www.researchgate.net/profile/Vasiliki_Vouloutsi>

July 5, 2018

Conducting Interviews at FENS 2018 in Berlin for Neural Engineer / Neuroscientist Opening

by Zanos, Theodoros

We will be at FENS 2018 in Berlin conducting interviews from the 7th to the 12th of July - if interested email tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> with your CV/resume to schedule an interview. Associate Engineer (MS Level) / Postdoctoral Fellow / Neural Engineer The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, Feinstein Institute for Medical Research is currently recruiting for a Neural Engineer / Neuroscientist (multiple levels). The lab focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will develop computational tools, take part in neurophysiology experiments and collect, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Job Responsibilities Include: Develops computational tools for neuroscience research. Perform neurophysiology experiments Performs bioelectronic medicine research. Collaborates with other research staff. Responsible for the planning, collection, organization, analysis and interpretation of research data related to one or more projects Job Type: Full-time Qualifications Associate Engineer (MS Level) - Masters in Engineering, Computer Science or Statistics required Postdoctoral Fellow - Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required Neural Engineer - Masters in Engineering, Computer Science or Statistics + 3 years of experience required, Doctorate degree preferred Authored/co-authored research papers and/or scientific abstracts, required Experience with various signal processing and machine learning methods, required Strong programming skills of Matlab, required, Python, C++, preferred Research experience in neurophysiology/neuroscience/animal surgery, preferred Knowledge of data analysis software (e.g. Matlab), preferred Theodoros Zanos, PhD Assistant Professor Head, Neural Decoding and Data Analytics Lab Center for Bioelectronic Medicine, Room 1257 The Feinstein Institute for Medical Research Hofstra Northwell School of Medicine 350 Community Drive Manhasset, NY 11030 Tel: (516) 562-0484 Cell: (646) 943-3440 Email: tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> Northwell Health Visit us at Northwell.edu<http://northwell.edu/> [nwh_fi_sm_vrt_pos_rgb 35perc] The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

July 5, 2018

“Self-repairing Hardware Paradigms based on Astrocyte-neuron Models” workshop York, UK, 3-5th September 2018

by David Halliday

“Self-repairing Hardware Paradigms based on Astrocyte-neuron Models” is an informal workshop which will be held in the historic city of York from the 3 rd to the 5th of September 2018. The workshop aims to highlight and discuss emerging trends and future directions in the fields of bio-inspired fault tolerant systems, particularly self-repairing spiking neural networks, with applications to autonomous robotic systems (and beyond). The workshop will feature invited position papers from world-leading researchers and industrialists. The workshop website, which includes information on submission and an up-to-date list of invited speakers can be found at https://www.york.ac.uk/spanner-workshop We are currently soliciting abstracts from members of the community who are interested in presenting at this workshop. Abstracts should be no longer than three page of A4 in standard IEEE conference format, and should focus upon the potential for future developments within the field of bio-inspired fault tolerant systems. We welcome contributions that span topics from biological modelling through to hardware and applications. Topics include (but are not restricted to): - Astrocyte-neuron interactions and modelling - Spiking neural networks – models, algorithms and hardware implementations - Training, learning and optimisation in spiking neural networks - Biological models for fault tolerant systems - Implementation of bio-inspired and fault tolerant systems on FPGA - Hardware optimisations for bio-inspired systems - Spiking neural network and bio-inspired controllers for autonomous robotics - Autonomous swarm robotic systems - Fault tolerance in robotic systems - Innovative design techniques for bio-inspired and fault tolerant systems The deadline for submissions is Tuesday 31st July 2018. Please address any questions and submissions to spanner-workshop(a)york.ac.uk Attending the Workshop We welcome attendees from all areas of the bio-inspired and robotics communities. Thanks to funding from the EPSRC, registration is free. We have accommodation for a limited number of places, priority will be given to authors of accepted contributions. We also have a number of student bursaries available, which will provide free accommodation and contribute towards the travel costs of registered PhD students. If you would like to attend, please see the website at https://www.york.ac.uk/spanner-workshop

July 5, 2018

Postdoctoral position on decision neuroscience at Aarhus University and University College London

by Hrvoje Stojic

Postdoctoral position on decision neuroscience at Aarhus University and University College London The Department of Management at Aarhus University and University College London, invites applications for a 2-year postdoctoral position offering applicants an exciting opportunity to join a new research project on the role of the locus coeruleus-norepinephrine system in learning and decision making. Application deadline: 15th of July 2018. Starting date: 1st of October 2018 or subject to mutual agreement. This project is funded by Lundbeckfonden (http://www.lundbeckfonden.com) and aims to advance our understanding of the locus coeruleus-norepinephrine (LC-NE) system and neural gain by (i) developing new and inexpensive methods for indexing LC-NE activity in learning and decision making tasks using pupil size (pupillometry) and eye movements, (ii) cross-validate the new method with magnetoencephalography (MEG) signatures of neural gain, and (iii) using these methods to investigate the role of the LC-NE system in balancing the exploration and exploitation in reinforcement learning. Overall, the project aims to advance our understanding of how decision makers balance exploration and exploitation and how they attend to and learn from the environment in doing so. The exploration-exploitation trade-off is relevant in a wide range of situations, for instance, in managerial decision making concerning new investments or in consumer decision making between known and unfamiliar products. Our aim is to build a better understanding of the cognitive processes behind these real world decision problems. The project is a joint collaboration between Jacob L. Orquin at Aarhus University and Ray Dolan at the Max Planck UCL Centre, University College London (UCL) (https://www.mps-ucl-centre.mpg.de/en) The successful candidate is expected to contribute to the overall objectives of the project by being involved in all phases of the project, including formulating research questions, experimental designs, analyses, and writing articles. The position is research-oriented, but may involve teaching assignments depending on the interests of the candidate. The candidate will be based at Aarhus University, but will receive an Honorary contract at University College London as parts of the project will be carried out at the Max Planck UCL Centre and Wellcome Centre for Human Neuroimaging at UCL. The candidate will be affiliated at Aarhus University and the Max Planck UCL Centre, London. It is therefore a requirement that the candidate is willing to be in London for a certain period of the project. Candidates must hold a PhD relevant to the academic areas of the project and have experience with data analysis and programming of experiments in at least one programming language such as R, Python, or Matlab. Experience with one or more of the following research areas is desirable: i) eye tracking and pupillometry ii) neuroimaging techniques such as fMRI or MEG iii) computational modeling such as reinforcement learning iv) basic or applied decision making theory. For further information about the position and the department, please contact Jacob L. Orquin, Tel.: +45 22178621, Email: jalo(a)mgmt.au.dk. See the job posting here: http://www.au.dk/om/stillinger/videnskabelige-stillinger/stillinger/Vacancy… Apply online here: https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationFor…

July 5, 2018

EPSRC funded Postdoctoral Research Fellow in Computational and Mathematical Neuroscience

by James Rankin

*Postdoctoral Research Fellow in Computational and Mathematical Neuroscience* Location: College of Engineering, Mathematics, Physical Sciences at the University of Exeter (Streatham Campus) Job reference: P62935 Application closing date: *29/07/2018* Interview date: *10/08/2018* Salary From £34,520 on Grade F, dependent on knowledge, skills and experience This new full-time post is available from *1st October 2018* on a fixed term contract basis for *2 years*. The College of Engineering, Mathematics and Physical Sciences, wishes to recruit a Postdoctoral Research Fellow to participate in the project Neural oscillator network modelling of auditory stream segregation. This EPSRC funded post is available from 01/10/2018 for 2 years. The successful candidate will join the Systems Biomedicine and Dynamical Systems research groups housed in the recently launched GBP 50m Living Systems Institute at the University of Exeter. These groups house over 50 researchers applying mathematical and computation approaches to study problems in neuroscience, biology and healthcare. The project will benefit from input from colleagues with expertise in neural networks, bifurcation theory, coupled oscillators and numerical methods. The Post: The project will involve developing mathematical and computational models to deepen our understanding of auditory stream segregation. This is a fundamental process in the auditory system that allows us to separate out and focus on distinct sound streams (e.g. voices) in a dynamic noisy environment. This process involves competition in order to resolve different interpretations of a given environment (e.g. different groupings of objects). Many aspects of this process are still not well understood, such as where in the brain segregation of streams is achieved, how the streams are encoded and the driving neural mechanisms. This project will develop a biologically motivated model inspired by a broad cross section of modelling and experimental literature (from anatomical, neurophysiological, brain imaging and behavioural experiments). The models developed will be based on networks of coupled neural oscillators. Neural oscillations are understood to be vital for the encoding of temporal information in auditory streaming. Dynamical systems theory including bifurcation analysis and numerical methods will provide the necessary tools to understand the dynamics of the models developed. About you: - Candidates with quantitative backgrounds (Mathematics, Physics, Engineering) and from Neuroscience programmes with a strong computational component are encouraged to apply. - Applicants will possess a PhD or equivalent in one of these areas or a related field. T - You will also be able to work collaboratively and supervise the work of others. - Programming experience in a high-level language (e.g. Matlab, Python, C/C++) is a must and knowledge of dynamical systems theory is a plus. - Experience working on interdisciplinary projects involving the application of mathematical and computational tools to problems in Biology or Neuroscience will be viewed favourably. The University offers some fantastic benefits including 41 days leave per year, options for flexible working, numerous discounts at leading retailers, onsite gym, cycle to work scheme, sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy; and a stunning campus environment in the heart of Exeter. If you are not currently in Exeter please have a look at our website for some further information on what a beautiful part of the country we are based in. *For further information, please contact Dr James Rankin, email j.a.rankin(a)exeter.ac.uk <j.a.rankin(a)exeter.ac.uk>* https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC1 07GF.open?VACANCY_ID=258266M3V7&WVID=3817591jNg http://emps.exeter.ac.uk/mathematics/staff/jar226 The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

July 4, 2018

Research Associate /Senior Research Associate positions

by Jeffrey Bowers

Research Associate /Senior Research Associate positions University of Bristol Salary: £32,548 to £41,212 per annum Deadline: 20th August 2018 We are seeking to appoint talented computational modelers to join an ERC-funded project entitled “Generalisation in Mind and Machine”. The project explores how well neural networks support human-like generalisation across a range of tasks. Two postdoctoral fellows and two PhD students are working on project, and we are looking to hire two more persons with PhDs (or potentially BSc) in computer science or cognitive psychology (or a related field) with experience working with neural networks. In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalisation in the domains of object identification, word identification, short-term memory, and games, amongst other areas. A core issue is whether networks need to be include symbolic computations to succeed on some forms of generalisation. For overview of some of the issues we are exploring in the project see: Bowers, J. S. (2017). Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in Cognitive Sciences, 12, 950-961. For more details regarding the project see our ERC website: http://mindandmachine.blogs.bristol.ac.uk/ This post is available from Oct 1st 2018 (but flexible about start date) and currently has funding secured until Oct 1st 2021. To apply go to: https://www.jobs.ac.uk/job/BKR397/erc-research-associate-senior-research-as… If you have any questions, please get in touch with Jeff Bowers at: j.bowers(a)bristol.ac.uk<mailto:j.bowers@bristol.ac.uk> Jeff Bowers

July 4, 2018

Post-doc in Neurophysiology of Attention at UCLA

by Bisley, James

Apologies for cross-posting We invite applications for a fully funded post-doc position studying the neurophysiology of attention. The work will include recording from &/or the reversible inactivation of cortical areas MT, LIP and FEF while animals perform a visual search task utilizing moving dot patterns. For more information about the sort of work done in the lab, check out our publications at http://www.bri.ucla.edu/people/james-w-bisley-phd. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu<mailto:jbisley@mednet.ucla.edu>). Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

July 3, 2018

Second Call for the Athenea3i postdoc program at the University of Granada

by jtorres

Dear all Please find attached below information concerning the second call for Athenea3i postdoc positions program at the University of Granada (Spain)(similar to Marie Curie postdoc positions). Our group (Granada Computational Neurophysics Lab) is accepting suitable candidates for such positions to be supervised by our Lab members (see our Lab web page http://ergodic.ugr.es/neurofisica/neurofisica.html for further information concerning our group). With my best wishes Joaquin J. Torres Professor of Condensed Matter Physics Granada Computational Neurophysics Lab University of Granada www.ugr.es/~jtorres ============= Dear researcher, The University of Granada (UGR) announces the opening of 10 vacancies for postdoctoral studies. These vacancies are designed for excellent researchers who have experience in the fields of innovation and knowledge transfer. These postdoctoral contracts will last for 3 years with a maximum gross salary of €4,000 per month and €1,500 in supplements depending on different factors such as the researcher's family situation, or aspects derived from the execution of the projects (required training, planned visits, etc.). Selected researchers will join multidisciplinary teams to execute research, innovation and development projects conducted at the UGR and will therefore need a supervisor from this institution. Moreover, researchers will be able to spend time in a different academic institution for an uninterrupted period of between 3 and 9 months, to be scheduled between the 10th and the 18th months of the research project. Researchers may spend this time in either the academic or the business sector. In addition, they may also spend a minimum of 3 months and a maximum of 6 months during the last 18 months of the research project in another non-academic institution. Thematic fields: · Environmental Sciences and Chemistry (ENV-CHE) · Economics, Social Sciences and Humanities (ECO-SOC) · Information Science and Engineering (ENG) · Life Sciences (LIFE) · Physics and Mathematics (PHY-MAT) The application period lasts from 4 September to 28 September 2018. The incorporation into the University of Granada is expected to take place between July – September 2019. For more information concerning the call and available vacancies (requirements, activity to be carried out and remuneration), please refer to the webpage: https://athenea3i.ugr.es/ If you have any further questions, do not hesitate to contact us: athenea3i(a)ugr.es Yours faithfully, International Research Projects Office (OFPI) - Promotion & Advisory Unit Tel. (+34) 958 242 701 Vice-Rectorate for Research and Knowledge Transfer University of Granada

July 3, 2018

project co-founder

by aris giachnis

Hi all, I am a software developer/tech founder so I am a bit out of my water here but I am looking for a partner with neuroscience background after my previous one left the project for academia. Although I cannot share all details about it (but can do upon private request/contact) I can say it is very interesting and involves using neuroscience for security purposes. The technical aspects involve measuring evoked potentials (p300) and developing some algorithms that provide high confidence intervals and later building a hardware prototype. We can be using devices such as OpenBCI for prototyping. There needs to be research on beta testers so it's mainly an RnD project for at least one year. Anyone that is interested in cooperating either as a side project or full time (but without compensation currently until we get funding but getting a piece.of the project is welcome to message me for more information. I am based in Amsterdam but can travel too, face to face is always better. best regards, aris Get Outlook for Android<https://aka.ms/ghei36>

July 3, 2018

Bernstein Network Information Booth at FENS Forum 2018 in Berlin

by Kerstin Schwarzwaelder

Dear colleagues, The Bernstein Network Computational Neuroscience will have an exhibition booth (no. 36) at the upcoming FENS Forum<https://forum2018.fens.org/> in Berlin (July 7 - 11, 2018). The booth will present: * research in the Bernstein Network * open positions * study and training programs * SMART<http://www.smartstart-compneuro.de/>START training program in Computational Neuroscience<http://www.smartstart-compneuro.de/>, * infrastructural facilities: Bernstein Facility for Data Management (G-Node)<http://www.g-node.org/> and Bernstein Facility for High Performance Simulation and Data Analytics <http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> (Simulation Laboratory Neuroscience) <http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> * Data management service (GIN)<https://web.gin.g-node.org/> and Electrophysiology Analysis Toolkit (Elephant)<http://www.python-elephant.org/> During the following times, G-Node will give demo presentations of their data management service (GIN)<http://www.g-node.org/gin> for storing, sharing, and publishing research data: Sunday, July 8, 14:00-16:00 Monday, July 9, 11:00-13:00 Tuesday, July 10, 14:00-16:00 Wednesday, July 11, 11:00-13:00 Also, there will be a demonstration on data analysis using the Electrophysiology Analysis Toolkit (Elephant)<http://www.python-elephant.org>: Sunday, July, 8, 11:00-13:00 Monday, July 9, 14:00-16:00 Tuesday, July, 10, 11:00-13:00 We are looking forward to welcoming you at our booth no. 36! Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 3, 2018

[Jobs] Researcher at Vicarious

by Swaroop Guntupalli

Vicarious is a start-up building artificial intelligence based on insights from cognitive science and neuroscience. See a recent profile in science magazine: http://www.sciencemag.org/news/2018/05/how-researchers-are-teaching-ai-lear… See our publications for a sample of our research: https://www.vicarious.com/research/ We are funded for the long term to work on the most important problems in the field of Artificial Intelligence. We have a few open positions for researchers with the following qualifications: - PhD in CS/EE/Neuroscience/Physics or related disciplines - Good understanding of probabilistic graphical models, deep learning and other machine learning algorithms - Excellent programming skills - Experience with computer vision algorithms - Computational neuroscience experience and/or interest in the workings of the neocortex Please visit https://www.vicarious.com/careers/ for more details. Feel free to email me if you are interested and would like to know more. Thanks, Swaroop Guntupalli Researcher at Vicarious swaroop(a)vicarious.com

July 1, 2018

Postdoc position in calcium imaging of Fragile X zebrafish

by Geoffrey Goodhill

Geoff Goodhill's lab at the University of Queensland is looking for an experimental postdoc to analyse a zebrafish model of Fragile X syndrome using behavioural and calcium imaging approaches. The salary range is AU$81k-87k (US$60-64k). We are particular interested in how neural coding emerges over development in these fish. The project will involve both high-speed video recording of zebrafish larvae behaviour, and large scale 2-photon recording of GCaMP6s neural activity using confocal and light-sheet microscopy. The successful candidate will work closely with an interdisciplinary team with a strong computational focus. A new review paper discussing some of the relevant background is Avitan L & Goodhill GJ (2018). Code Under Construction: Neural Coding Over Development Trends in Neurosciences, online June 20th https://www.cell.com/trends/neurosciences/abstract/S0166-2236(18)30158-9 The University of Queensland (UQ) is ranked in the top 3 universities in Australia and the top 100 in the world. The Goodhill lab is part of the Queensland Brain Institute at UQ, a leading neuroscience institute consisting of over 40 labs, including ~100 PhD students and ~100 postdocs. For more details and to apply please see the following link: http://jobs.uq.edu.au/caw/en/job/504708/postdoctoral-research-fellow The closing date is July 25th AEST. Informal enquiries are also welcome. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

July 1, 2018

PhD and post-doctoral positions in Electrophysiology / Brain-machine interface at the Université de Sherbrooke, Canada

by Jean Rouat

Dear list, We have PhD and one post-doctoral positions in our research group. Please communicate with my colleague Eric Plourde for further details. 1) PhD positions in Electrophysiology / Brain-machine interface at the Université de Sherbrooke, Canada (co-supervision at the University of Minnesota, USA) for IC implants Auditory implants aim at restoring audition by stimulating a specific structure of the auditory system with an electrode array. The most successful auditory implant, the cochlear implant that stimulates the spiral ganglions in the cochlea, has allowed more than 325 000 people worldwide to regain audition. However, cochlear implants are not appropriate for patients that have a disfunctionnal auditory nerve or for which the cochlea cannot be implanted. Alternative implants have therefore been developed such as the auditory midbrain implant (AMI) that stimulates a structure named the inferior colliculus (IC). One aspect that limits the development of the AMI is the lack of knowledge regarding the optimal approach to stimulate the IC. The proposed project aims at gaining more insight into the optimal design of stimulation patterns for the IC. Objectives: Design optimal inferior colliculus stimulation patterns using adaptive filters specifically adapted for neural signals: the neural activity will be recorded in the auditory cortex and optimal stimulation in the inferior colliculus will be evaluated using a closed-loop approach. A financial support will be provided. Requirements: - Excellent academic record. - Master’s degree in biomedical engineering, electrical engineering, computer engineering, physics, biophysics or other related field with a strong background in mathematics and signal processing. - Willing to conduct experiments in electrophysiology to record the neural activity of the auditory system. No prior knowledge in electrophysiology is required. - Excellent ability to communicate in English, knowledge of French is considered an advantage. Interested candidates should send their CV, academic transcripts and relevant publications as well as the names of 2 references to Prof. Eric Plourde. Contact: Eric Plourde, Eng., Ph.D., Université de Sherbrooke (eric.plourde(a)usherbrooke.ca) 2) Postdoctoral position in statistical signal processing / Brain-machine interface at the Université de Sherbrooke A retinal prosthesis aims at giving back vision to blind people. To do so, an external camera captures visual scenes and sends this information to an electrode array, which is positioned in the eye, in order to stimulate directly the retina. The electric pulses from the electrodes are sent to the brain along the optic nerve and interpreted as sight. The objective of this study is to decode a perceived image using Bayesian decoding approaches. Many types of patterns can be used to stimulate the different electrodes comprising the array and not all are efficient. The research proposal aims at simulating a perceived image using an adapted stimulation approach and Bayesian decoding and comparing it with an image obtained with traditional stimulation approaches. The contract is for a 6-months period. Requirements: - Ph.D. degree in statistical signal processing, biomedical engineering, bio-informatics or other related field - Proven publication record - Excellent ability to communicate in English. Interested candidates should send their CV, academic transcripts and relevant publications as well as the names of 2 references to Prof. Eric Plourde. Contact: Eric Plourde, Eng., Ph.D., Université de Sherbrooke (eric.plourde(a)usherbrooke.ca) ==================================================== The Université de Sherbrooke is a French-speaking institution located in the province of Quebec, Canada, and the heart of an international research pole. It is host to more than 40 000 students from over 120 different countries worldwide. (Source: UdeS) ==================================================== Jean Rouat, Prof., coord. IGLU, http://iglu-chistera.github.io Université de Sherbrooke Université de Montréal Member of the centre for Interdisciplinary research Professeur titulaire, Professeur associé in Music Media and Technology NECOTIS: Computational Neurosciences Vision, neuroscience Lab McGill Schulich School of Music and Intelligent Signal Processing FAS- Sciences biologiques 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 90 avenue Vincent-d’Indy Montreal, Qc, 2500 boul. de l'université Montréal, Qc, Canada, H3A 1E3 Sherbrooke, Québec Canada, H3C 3J7 Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca Publications: https://www.gel.usherbrooke.ca/rouat/publications/publiDeJRouat.html

June 29, 2018

PhD opening in Machine learning for Neural Encoding of Naturalistic Auditory Scenes

by Nicolas Farrugia

Dear list, We invite applications for a fully-funded PhD between Université de Montréal, computer science department, and IMT Atlantique, Brest, France. The goal is to model the perception of complex natural auditory stimuli using signals on dynamic brain graphs, and deep learning. Details are here : https://t.co/963vd9Pizg and below Deadline for application is July 15th. The project aims to model natural auditory perception using artificial neural networks and graph signal processing, applied to human functional magnetic resonance imaging (fMRI) and electroencephalograph (EEG) data. Recent advances in artificial intelligence are largely due to the outstanding performance obtained by deep neural networks on the classification of composite natural stimuli. Deep learning however still faces important challenges with natural auditory perception [1], in particular in complex, noisy scenes involving several simultaneous sources. This thesis will use human neuroimaging data to improve the ability of artificial networks to classify natural auditory stimuli. Recent works have demonstrated the feasibility of building artificial models to link computational musical features with brain activity [2]. Such models perform as well as human listeners on both music, and simple speech discrimination tasks [3]. The internal layers of the deep networks have also been used to predict brain activity related to natural sounds, by modeling each individual voxel of fMRI activity using combinations of feature maps [3]. We propose to investigate extensions of the current approaches to consider graph convolutional networks [4], signal processing on graphs [5], and to model temporal signals on dynamic graphs [6]. We will build a series of artificial models, using extensive recordings of EEG/fMRI brain activity acquired from participants performing auditory tasks of increasing complexity. This PhD project is a collaboration between the laboratories of Dr. Nicolas Farrugia and Dr Vincent Gripon (Brain Inspired Artificial Intelligence Project, at IMT Atlantique, Brest, France), and the lab of Dr. Pierre Bellec (NeuroMod - Courtois Project on Neuronal Modelling - CRIUGM, Department of Computer Science and Operational Research, Université de Montréal, Montréal, Qc, Canada). The candidate will be expected to share their time between Montreal and Brest. IMT Atlantique is a public technological university focusing on the training of engineers at the MSc. level and junior researchers at the PhD level. Université de Montréal is a world-renowned institution, training elite scientist, and is currently one of the main hubs for artificial intelligence and neuroinformatics research in North America.

June 29, 2018

The Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The new Impact Factor of the journal is 2.414 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Investigating the Correlation–Firing Rate Relationship in Heterogeneous Recurrent Networks Andrea K. Barreiro and Cheng Ly https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Effect of Neuromodulation of Short-term Plasticity on Information Processing in Hippocampal Interneuron Synapses Elham Bayat Mokhtari, J. Josh Lawrence and Emily F. Stone https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Analysis of an Attractor Neural Network’s Response to Conflicting External Inputs Kathryn Hedrick and Kechen Zhang https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Saddle Slow Manifolds and Canard Orbits in R^4 and Application to the Full Hodgkin–Huxley Model Cris R. Hasan, Bernd Krauskopf and Hinke M. Osinga https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Kernel Reconstruction for Delayed Neural Field Equations Jehan Alswaihli, Roland Potthast, Ingo Bojak, Douglas Saddy and Axel Hutt https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

June 28, 2018

Postdoc position in Computational Neuroscience - CRM Barcelona

by Klaus Wimmer

A fully funded POSTDOC POSITION in computational neuroscience is available in the lab of Klaus Wimmer, Computational Neuroscience Group at the CRM, Barcelona, Spain. *Profile* We are looking for an enthusiastic and scientifically curious researcher with a strong interest in computational neuroscience. The perfect candidate has a strong mathematical, physical or engineering background, scientific programming skills (Matlab, Python), and a keen interest in biological neural systems. Knowledge in computational neuroscience, dynamical systems, machine learning or advanced statistics is a plus. Good team spirit is a must. *Research topic* The neural basis of decision making and working memory has been studied extensively, yet our understanding of how distributed circuits in the brain perform these cognitive functions is only at the beginning. Models of cortical circuits can shed light on the underlying neural network dynamics. The Postdoc will work on building such models and on cutting-edge analysis of large-scale neural activity recordings (neuronal population recordings, fMRI, EEG). *The lab* The Computational Neuroscience Group is based at the Centre de Recerca Matemàtica at the campus of the Universitat Autònoma de Barcelona. It is a joint effort of Alex Roxin and Klaus Wimmer, and forms part of a larger network of theoretical and systems neuroscience labs in Barcelona. The successful candidate will benefit from a vibrant and stimulating research community and will have the opportunity of enjoying a lively city. More information can be found at: https://sites.google.com/view/wimmerlab *How to apply* Interested candidates should e-mail their application as a single pdf file to Klaus Wimmer, kwimmer(a)crm.cat, with the subject “Postdoc 2018”. The application should include: (1) CV with publication list, (2) a brief description of research experience and interests, (3) contact information for two references. The position is available immediately and applications will be accepted until it is filled. Informal inquiries are welcome. -- Klaus Wimmer Ramón y Cajal researcher at Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain Tel. +34 935 86 85 15 https://sites.google.com/view/wimmerlab

June 27, 2018

fully funded PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany

by Laurenz Wiskott

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/ Research topics: We are looking for an outstanding candidate who will be working on a model of the hippocampus and neocortex investigating the interplay between episodic memory and semantic memory. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with humans by our experimental partners in Bochum and Münster. The position is part of a team working jointly on developing a system-level model of hippocampal function for memory and navigation. This is being doing in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single file pdf to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

June 27, 2018

2018 NEURON Summer Course reminder

by Ted Carnevale

If you are interested in this year's NEURON Summer Course but haven't signed up yet, you should act quickly because only a few seats remain available, and the registration deadline is July 16. The course runs from Monday, August 6, through Saturday, August 11, and will be held at Emory University in Atlanta, Georgia. It will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2018/summer2018.html --Ted

June 26, 2018

Save your space today: FENS Satellite Symposium "From Scanner to Bedside"

by Markus Butz Ostendorf

Dear colleagues, My apologies for cross postings. There are a few spaces left on the FENS Satellite Symposium "From Scanner to Bedside - What connectome and gene expression say about brain diseases" on 6 July in the beautiful guest house "Harnack House" of the Max-Planck Society in Berlin-Dahlem. Save your space today by registration via the symposium's website: https://www.biomax.com/symposiums/from-scanner-to-bedside/ Free registration, lunch and refreshments provided! Looking forward to seeing you in Berlin Markus -- Dr. rer. nat. Markus Butz-Ostendorf Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email: markus.butz-ostendorf(a)biomax.com Website: http://www.biomax.com PGP: https://ssl.biomax.de/pgp/

June 26, 2018

PostDoc available in Neuromorphic Computing within the Human Brain Project

by Thomas Nowotny

Dear all, Within sub-project 9 of the Human Brain Project (HBP) we are looking for a PostDoc to work on applications of neuromorphic computing. You will join a dynamic team of researchers in computational Neuroscience and biomimetic robotic control at the University of Sussex and work on cutting edge prototype neuromorphic systems developed at Heidelberg (BrainScaleS, https://electronicvisions.github.io/hbp-sp9-guidebook/pm/pm.html) and Manchester (SpiNNaker, https://electronicvisions.github.io/hbp-sp9-guidebook/mc/mc_index.html) Excellent programming skills and a keen interest in applying neuromorphic computing to interesting problems will be essential. Previous experience with neuromorphic computing and/or machine learning will be a big plus. Deadline: 24 July 2018 Duration: currently funded until end of March 2020; possible extension into the next funding phase of the HBP. Details & apply: http://www.sussex.ac.uk/about/jobs/research-fellow-in-neuromorphic-computin… Queries: Prof Thomas Nowotny (t.nowotny(a)sussex.ac.uk<mailto:t.nowotny@sussex.ac.uk>) With kind regards, Thomas Nowotny -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

June 25, 2018

Neuronal morphology and structure workshop at CNS - 2018

by André Castro

Dear all, We are pleased to announce the 4th edition of the Neuronal morphology and structure workshop at [CNS*2018](https://www.cnsorg.org/cns-2018), Seattle, USA. The workshop will be held at the Allen Institute for Brain Science, July 17 . Our confirmed invited speakers are the following: - Hollis Cline (Scripps Research Institute) (keynote) -- "In vivo time-lapse imaging analysis of neuronal structure and functional plasticity" - Ruth Benavides-Piccione (Instituto Cajal, Spain) -- "The microanatomy of pyramidal cells" - Staci Sorensen[,](http://www.treestoolbox.org/CNS2018_dendrites_workshop/speakers… (Allen Institute, USA) -- "Morphological, electrophysiological and transcriptional descriptions of cortical cell types" - Erik De Schutter (OIST, Japan) -- "The Purkinje cell dendrite causes its unique firing rate-dependent phase response curve" - Uygar Sümbül (Allen Institute, USA) -- "Quantifying neuroanatomy" - Lida Kanari (EPFL, Switzerland) -- "Randomness and structure in artificially generated neuronal networks" - Casey Schneider-Mizell (Janelia Research Campus, USA) -- "The neuroanatomy of connectivity in the Drosophila larva" - Kurt Haas (University of British Columbia, Canada) -- "Dynamic morphometrics: Rapid time-lapse imaging and quantification of experience-driven dendrite growth" - Sophie Laturnus (Universität Tübingen, Germany) -- "A systematic comparison of neural morphology representations for cell type discrimination" - Hongkui Zeng (Allen Institute, USA) -- ''Morphology as a key feature for neuronal cell type classification'' Please see our [website](http://www.treestoolbox.org/CNS2018_dendrites_workshop/index.html) for more details. Organising Committee: Alexander Bird (Ernst Strüngmann Institute and FIAS, Frankfurt) André Castro (Ernst Strüngmann Institute and FIAS, Frankfurt) Hermann Cuntz (Ernst Strüngmann Institute and FIAS, Frankfurt)

June 20, 2018

[jobs][phd]PhD Studentship: Being in the Other's Shoes - Social Cognition in Babies and Robots'

by Dimitri Ognibene

We are looking for the perfect interdisciplinary PhD candidate to find out how humans learn to observe others, how they learn that they are not alone. Are you curious about this? Apply! https://www.jobs.ac.uk/job/BKG746/phd-studentship-being-in-the-others-shoes… The Schools of Computer Science and Electronic Engineering and Psychology in the Faculty of Science and Health at the University of Essex has an interdisciplinary PhD studentship available focusing on the theme ‘Being in the other’s shoes – Social cognition in babies and robots’. This studentship commences from 14 January 2019, the successful applicant will receive a scholarship for three years (subject to satisfactory progression). The studentship includes: a fee waiver equal to the Home/EU fee (for 2018/19, £ £4,410). International students will need to pay the balance of their fees. a stipend of £14,777 in 2018-19 adjusted according to the directives of the Research Councils UK. In a highly interdisciplinary environment, the PhD student will investigate the role of embodiment in social cognitive development by formulating computational theories, testing them through experimental studies with infants, and closing the loop by re-enacting the experiments with state of the art robots available in the Essex robotics lab. The applicant will also have the opportunity to perform empirical studies and computational modelling on social intelligence to examine disorders of social cognition (lack of engagement, inability to adopt others perspective) and validate the architecture in end user environments (for example robotic companions in homes, hospitals etc.). The University’s centre for Brain Science accounts for one of the most comprehensive and equipped laboratories for Developmental Cognitive Neuroscience in the UK’s, which has been featured in media <http://www.bbc.co.uk/news/av/uk-england-suffolk-26574823/university-of-esse…>. The successful applicant will be part of The Centre for Computational Intelligence, supervised by Dr Mohan and Dr Ognibene and also part of The Centre for Brain Science (Psychology), supervised by Dr Filippetti and Dr Rigato. Address additional questions to: Dr Mohan, (CSEE) vishwanathan.mohan(a)essex.ac.uk <mailto:vishwanathan.mohan@essex.ac.uk> (PI), Dr Ognibene (CSEE) dimitri.ognibene(a)essex.ac.uk <mailto:dimitri.ognibene@essex.ac.uk>, Dr Filippetti (PSYCH) m.filippetti(a)essex.ac.uk <mailto:m.filippetti@essex.ac.uk>, Dr Rigato (PSYCH) srigato(a)essex.ac.uk <mailto:srigato@essex.ac.uk>. -- Dimitri Ognibene, PhD Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/> Skype: dimitri.ognibene -- Dimitri Ognibene, PhD Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene

June 19, 2018

Tenure-track position in Data Analytics and Modeling in Frankfurt, Germany

by Matthias Kaschube

The Department of Computer Science and Mathematics at the Goethe University Frankfurt invites applications for a tenure-track position in Data Analytics and Modeling at the rank of Assistant Professor. Fields of interest include computational neuroscience, machine learning, data mining, and computer vision. We expect the candidate to possess an excellent scientific track record. Experiences with interdisciplinary and/or international collaborations and actively acquiring third-party support are advantageous. The professorship is embedded in the attractive research landscape in the Frankfurt area within and outside of the university, e.g.: https://www.informatik.uni-frankfurt.de/index.php/en/forschung-en <https://www.informatik.uni-frankfurt.de/index.php/en/forschung-en> https://fias.institute/en/ <https://fias.institute/en/> http://www.rmn2.de <http://www.rmn2.de/> The initial tenure-track appointment as Assistant Professor is for six years. The invitation to apply aims to reach early-stage researchers, who have finished their doctorate within the past four years at the date of application. Upon positive evaluation, the incumbent will be promoted to a permanent position at a higher level (W2, corresponding to Associate Professor). The designated salary for the position is initially based on “W1” of the German university scale or equivalent. Goethe University aims at increasing the number of women in research and teaching and therefore particularly encourages qualified female scientists to apply. Applications of scientists from abroad are explicitly requested. Severely disabled applicants with equal qualification and aptitude will be given preferential consideration. Qualified academics with an excellent, internationally recognized research record are invited to submit their application with curriculum vitae (scientific and professional experience), a list of publications (including conference proceedings), a record of teaching activities (including tutor work), a draft of three pages at most on present and planned research, a record of actively acquired third-party funding (including prizes and fellowships), certificates and documents until 23 July 2018 in electronic form (as a single pdf-file) to the Dean of the Department of Computer Science and Mathematics, e-mail: bewerbung(a)fb12.uni-frankfurt.de <mailto:bewerbung@fb12.uni-frankfurt.de> For further details on the position see http://www.uni-frankfurt.de/45303044/fb12#DAM_eng <http://www.uni-frankfurt.de/45303044/fb12#DAM_eng> If you have questions about the position please contact Matthias Kaschube, kaschube(a)fias.uni-frankfurt.de <mailto:kaschube@fias.uni-frankfurt.de>

June 19, 2018

Post-doc in event-driven perception for robots

by Chiara Bartolozzi

The Event-driven perception for robotics (EDPR) laboratory (https://edpr.iit.it/ ) with the iCub Facility, Istituto Italiano di Tecnologia (IIT) is seeking to appoint a postdoctoral fellow, under the supervision of Dr. Chiara Bartolozzi. The selected candidate will join the interdisciplinary team of the iCub project. She/he will contribute to the development of new skills of the iCub robot, based on event-driven sensing. We are looking for a talented and enthusiastic postdoc who will join our team to develop models and architectures capable of interpreting and learning from spatio-temporal information, to extract relevant information and plan appropriate behavior. In particular, the candidate will be in a unique position to exploit recent advances in machine learning, in combination with novel biologically inspired sensors and the accompanying biological-grounded learning models. For full details: https://edpr.iit.it/openings/771:post-doc-position-in-event-driven-percepti… For even more details write to chiara.bartolozzi(a)iit.it<mailto:chiara.bartolozzi@iit.it>

June 19, 2018

Research Associate in Data Science - Dementia

by Wong-Lin, Kongfatt

A new Research Associate post in Data Science is available at Ulster University, UK. The post will be available from 1st August 2018 to 31st January 2019. The successful applicant will join an existing interdisciplinary research team that consists of computer scientists, biomedical scientists and clinicians, and will focus on predictive analytics and modelling of dementia data. For more info, please see: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTczNDIyNyZ2dF90… or contact me. The closing date for the application is 27th June 2018. Best, KongFatt Wong-Lin ----------- E-mail: k.wong-lin(a)ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

June 18, 2018

Postdoctoral Position: Wireless optogenetics and electrophysiology in rats.

by Fellous, Jean-Marc - (fellous)

Dear List Members The Computational and Experimental Neuroscience Laboratory is looking to a postdoctoral fellow to work on understanding the computational roles of the multiple levels of the rat hippocampal longitudinal axis. The work will involve state-of-the-art wireless optogenetic manipulations and high-density tetrode recordings in the behaving animal. While some background in experimental neuroscience using these techniques is preferred, the position may be suitable for a motivated computational neuroscientist wanting to learn experimental neuroscience techniques. The project is multi-disciplinary and will involve collaborations with other researchers in the US and abroad, therefore good communication skills are required. Applicant should send a cover letter (email is ok), a CV and the names/contact information of at least two references to Dr. Jean-Marc Fellous (fellous at email.arizona.edu) The search is ongoing and is projected to be completed by October 1st, 2018. Applications will be processed as they are received. More information about the laboratory can be found at: http://amygdala.psychdept.arizona.edu/lab.html The CENL and the University of Arizona are committed to maintaining a diverse and inclusive work environment and women and minorities are encouraged to apply. The University of Arizona is an equal opportunity, affirmative action employer. Jean-Marc

June 17, 2018

Postdoctoral and doctoral studies in the neuroscience of spatial motion estimation and motor planning

by Andrea Green

POSTDOCTORAL AND DOCTORAL STUDIES IN THE NEUROSCIENCE OF SPATIAL MOTION ESTIMATION AND MOTOR PLANNING Departement de neurosciences, Universite de Montreal Applications are invited for postdoctoral and doctoral studies in systems neuroscience in the laboratory of Dr. Andrea Green. Successful applicants will join a multidisciplinary research group studying how the brain integrates multisensory cues to create estimates of our spatial motion and how such estimates are used in motor planning and control. Research in our group involves computational models of the nervous system, behavioral and neural recording experiments in non-human primates as well as human behavioral studies. Successful applicants will investigate the computation of spatial motion estimates and/or their contribution to voluntary reaching through neural recordings within brainstem-cerebellar circuits or motor cortical regions of non-human primates. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. However, prior experience in neurophysiology and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. For further information, please contact Dr. Andrea Green (andrea.green(a)umontreal.ca) Applicants are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to: Dr. Andrea Green Departement de neurosciences, Universite de Montréal C.P. 6128 Succursale Centre-ville Montreal, QC H3C 3J7, CANADA Tel: 514-343-6111 x3301 Email: andrea.green(a)umontreal.ca Applications will be accepted until the positions are filled.

June 15, 2018

Professorship in Artificial Intelligence

by Steuber, Volker

Professor of Artificial Intelligence University of Hertfordshire, UK School of Computer Science, College Lane Campus, Hatfield Salary £58,293 to £64,397 pa dependent on skills and experience FTE: Full time position working 37 hours per week (1.0FTE) Duration of Contract: Permanent position Closing date: 3 September 2018 Applications are invited for an exceptionally well qualified Professor of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. The School hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. We encourage applications from researchers across a wide spectrum of AI, and particularly encourage applications from researchers working on emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda, and will actively contribute to increase research impact of the School, in the enthusiastic, welcoming and collegiate environment of the school. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the relevant Artificial Intelligence community and management and leadership ability. The professor will have opportunity to contribute actively to interdisciplinary research projects at the school and university level. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016194?. Informal enquiries may be addressed to Dr Volker Steuber (Associate Dean Research, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly by email will not be accepted.

June 15, 2018

Tenure-track position at Tufts University

by John Rinzel

Dear computational neuroscience list, The Department of Psychology at Tufts University is seeking applicants at the assistant professor level for a tenure-track position in computational clinical neuroscience to begin September 1, 2019. Further information is here: https://apply.interfolio.com/51438 Inquiries should be emailed to Department Manager Jessica Storozuk ( Jessica.Storozuk(a)tufts.edu) Regards, Ani Patel Aniruddh D. Patel Professor, Dept. of Psychology, Tufts University Senior Fellow, Canadian Institute for Advanced Research (CIFAR) Azrieli Program in Brain, Mind, & Consciousness http://ase.tufts.edu/psychology/people/patel/

June 15, 2018

[CFP] IROS-2018 Workshop: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens

by Amir Aly

CALL FOR PAPERS **Apologies for cross posting ** We are pleased to call for papers for the IROS-2018 workshop: "*Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens*" In conjunction with the *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)** - Madrid - Spain - October * *5th, 2018* *Webpage: **http://intelligent-social-robots-ws.com/* <http://intelligent-social-robots-ws.com/> *I. Aim and Scope *Robots that cook creatively, clean up our rooms dutifully, entertain our guests wittily and keep us company loyally. Robots that assist human users in their daily chores and provide support in times of need. Researchers around the world have envisioned such robot companions for a long time. Thanks to numerous innovations in sensor technology and software development, robots are now increasingly able to plan complex tasks in unknown environments, learn from experience and adapt to changes in the environment. The greatest challenges in robotics now lie in the development of robot skills and high-level AI-based functionalities that enable robots to work effectively in close collaboration with humans. Aside from the numerous technical challenges, which must be overcome before this vision can become a reality, multi-disciplinary research efforts are also invested into the social engineering of robots. In order to engineer “smart” robots that we accept, trust and welcome into our homes, it is paramount that we identify and investigate the factors that affect social interactions between humans and robots. For this purpose, computer scientists, AI researchers, engineers and psychologists tackle important questions that will determine whether robots will be perceived as helpful and reliable companions or as irritating nuisances. How should robots look, behave and communicate with us? What are our expectations of robot behavior in a social context? How can robots learn using the capabilities of their environments to achieve tasks and to address the needs of their human co-inhabitants? What kind of robot intelligence is required for what kind of tasks? In this workshop, participants will discuss with seasoned experts and young researchers what defines social and artificial intelligence for “smart” robots and how modern technological advances can equip robots with such intelligence. As such, this workshop aims to shed light on the intersection between cognitive science, artificial intelligence, and robotics research both from the theoretical and technical perspectives. Recent advances and possible avenues for future research in the field of “smart” robotics are principal topics of discussion during the workshop. ** *This workshop is endorsed by the IEEE Technical Committees*: *Human-Robot Interaction and Coordination, Cognitive Robotics, and Robot Learning*. *II. Keynote Speakers * 1. * Angelo Cangelosi *– University of Manchester/Plymouth – UK 2. *Yiannis Aloimonos *– University of Maryland – USA 3. * Selma Sabanovic *– Indiana University – USA 4. *Michael Beetz* – University of Bremen – Germany 5. *Matthias Scheutz *– Tufts University – USA *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/account/signin.cgi?key=72898427.c11B4hAVw0ZMhuaQ>* . 2. Use the IEEE style (two-column format – US letter): *IEEE Templates <https://www.ieee.org/conferences/publishing/templates.html>*. 3. Submitted papers should be limited to 2-6 pages maximum. The primary list of topics covers the following points (but not limited to): - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Cloud robotics and ubiquitous computing - Ambient assisted living - Human intention recognition and prediction - Robot acceptance - Social engineering - Language learning, embodiment, and social intelligence - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Learning by demonstration and imitation - Language and grammar induction in robots * IV. Important Dates * 1. Paper submission: *20-August-2018 * 2. Notification of acceptance: *30-August-2018* 3. Camera-ready version:* 7-September-2018 * 4. Workshop: *5-October-2018* *V. Organizers * 1. *Amir Aly *– Ritsumeikan University – Japan 2. *Sascha Griffiths *– Hamburg University – Germany 3. * Verena Nitsch *– Bundeswehr University – Germany 4. *Katerina Pastra* – Cognitive Systems Research Institute – Greece 5. *Tadahiro Taniguchi* – Ritsumeikan University – Japan -------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

June 15, 2018

Call for Applications: Symposium and Summer School on the Logistics of Neuronal Function

by Jochen Triesch

We invite applications from PhD students and post-docs to participate in a two-week summer course on the Logistics of Neuronal Function in Frankfurt am Main, Germany, from August 28 to September 7. Neurons face a variety of logistics challenges. They need to organize the production, transport, storage, and recycling of various molecules such as neurotransmitters, mRNA, and proteins to fill their extensive dendritic and axonal arbors. For example, most proteins have turnover rates of several days, which implies that neurons must organize the production and transport of vast numbers of proteins to maintain their structure and function. Due to their large size compared to other cells of the body, these problems are particularly severe for neurons. It is likely that evolution has driven neurons to find robust and efficient solutions to these challenges. So how do they organize production, transport, delivery, storage, and recycling processes and how are logistic failures related to nervous system disorders? This first workshop and summer school on the logistics of neuronal function bring together leading experimentalists, theoreticians, and method developers to exchange ideas on these fundamental questions. Organizers: Jochen Triesch, Frankfurt Institute for Advanced Studies Erin Schuman, MPI Brain Research, Frankfurt Tatjana Tchumatchenko, MPI Brain Research, Frankfurt Christian Tetzlaff, Georg-August University, Göttingen Confirmed Speakers of the Giersch International Symposium (August 28 - September 1): Maarten Altelaar, Utrecht, Netherlands Peter W. Baas, Drexel U., USA Upinder S. Bhalla, TIFR, India Long Cai, Caltech, USA Daniel Choquet, Bordeaux, France Guillame Drion, Liege, Belgium Seth Grant, University of Edinburgh, Scotland Kristian Franze, U. of Cambridge, UK Lukas Kapitein, Utrecht, Netherlands Ken Kosik, UC Santa Barbara, USA Timothy O’Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Jeremy Niven, U. of Sussex, UK Marianne Renner, Institut du Fer a Moulin, France Erik De Schutter, OIST, Japan Antoine Triller, École Normale Superièure, France Noam Ziv, Technion, Israel Confirmed Giersch Summer School Lecturers (September 3 - 7): Eric Hosy, U Bordeaux, France Timothy O’Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Marianne Renner, Institut du Fer a Moulin, France Christian Tetzlaff, U. Göttingen, Germany Jochen Triesch, FIAS, Germany Special Public Talk by: Nobel Laureate Edvard Moser The third "Giersch International Symposium", will take place at the Frankfurt Institute for Advanced Studies. The conference series, funded by STIFTUNG GIERSCH gives young scientists the opportunity to learn from well known, exceptional researchers and to expand their networks. Accommodation and meals are provided free of charge. To apply visit: https://indico.fias.uni-frankfurt.de/event/11/overview and see the instructions there. Required materials include: CV, letter of recommendation from supervisor, poster abstract, and short text specifying the reason for participation. Application Deadline: June 30 Contact: gis2018(a)fias.uni-frankfurt.de -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

June 14, 2018

Bernstein Conference 2018 in Berlin: Registration is open

by Alexandra Stein

BERNSTEIN CONFERENCE 2018 in Berlin Registration is open! Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration<http://www.bernstein-network.de/en/bernstein-conference/2018/registration> Early registration deadline: July 19, 2018 ABSTRACT SUBMISSION: For the details on abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts<http://www.bernstein-network.de/de/bernstein-conference/2018/abstracts> Deadline for abstracts aimed as contributed talks and posters: June 21, 2018 Deadline for abstracts aimed as posters only: July 17, 2018 **************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops<http://www.bernstein-network.de/en/bernstein-conference/2018/satellite-work…> Main Conference: www.bernstein-network.de/en/bernstein-conference/2018<http://www.bernstein-network.de/en/bernstein-conference/2018> PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium<http://www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium> **************************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience Conference in Europe and now regularly attracts around 500 international participants. This year, the Conference will take place in Berlin from September 26-28, 2018. In addition, there will be a series of pre-conference satellite workshops on September 25-26, 2018. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology. Sessions for poster presentations are an integral part of the conference. The goal of the satellite workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de<http://www.bernstein-conference.de> CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universität Berlin (TU Berlin) Main Building, Strasse des 17. Juni 135, 10623 Berlin PhD Symposium: September 28-29, 2018 Venue: Bernstein Center for Computational Neuroscience Berlin, Philippstraße 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels<http://www.bernstein-network.de/en/bernstein-conference/2018/hotels>). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder BERNSTEIN CONFERENCE 2018 in Berlin Registration is open! Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration<http://www.bernstein-network.de/en/bernstein-conference/2018/registration> Early registration deadline: July 19, 2018 ABSTRACT SUBMISSION: For the details on abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts<http://www.bernstein-network.de/de/bernstein-conference/2018/abstracts> Deadline for abstracts aimed as contributed talks and posters: June 21, 2018 Deadline for abstracts aimed as posters only: July 17, 2018 **************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops<http://www.bernstein-network.de/en/bernstein-conference/2018/satellite-work…> Main Conference: www.bernstein-network.de/en/bernstein-conference/2018<http://www.bernstein-network.de/en/bernstein-conference/2018> PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium<http://www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium> **************************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience Conference in Europe and now regularly attracts around 500 international participants. This year, the Conference will take place in Berlin from September 26-28, 2018. In addition, there will be a series of pre-conference satellite workshops on September 25-26, 2018. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology. Sessions for poster presentations are an integral part of the conference. The goal of the satellite workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de<http://www.bernstein-conference.de> CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universität Berlin (TU Berlin) Main Building, Strasse des 17. Juni 135, 10623 Berlin PhD Symposium: September 28-29, 2018 Venue: Bernstein Center for Computational Neuroscience Berlin, Philippstraße 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels<http://www.bernstein-network.de/en/bernstein-conference/2018/hotels>). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 14, 2018

Postdoc in systems or computational neuroscience at Brandeis (Boston Area), ,

by Paul Miller

Postdoc in systems or computational neuroscience at Brandeis (Boston Area) The Miller and Katz labs are looking for a postdoctoral researcher with expertise in two or more of the following areas: electrophysiology, optogenetics, animal behavior, data analysis, and/or computational modeling. The postdoc will work on a collaborative project, which is funded by the BRAIN initiative. The project’s goal is to uncover the dynamics and neural circuitry underlying the ongoing consumption decisions that occur when an animal is choosing between different tastes or olfactory stimuli. The ideal candidate will be highly motivated, bring relevant skills based on past experience, be willing and able to develop new project-related skills, and be good at communicating with others in both experimental and computational labs. Any interested candidate should contact Paul Miller at pmiller(a)brandeis.edu <mailto:pmiller@brandeis.edu>, indicating areas of expertise and which areas of the project (in particular experiment versus modeling) are of greatest interest. A C.V. and the names and contact details of three faculty willing to provide recommendations should accompany the application. The position is available as of now and is open until a suitably qualified candidate is appointed. The appointee will work in either the Katz Lab or Miller Lab at Brandeis University in Waltham MA (in the Greater Boston Metro area), a liberal arts college with a very strong research community, particularly in the life sciences. Salary will be on the NIH scale (experience-dependent, starting at $48 432). Brandeis University has a strong institutional commitment to the achievement of excellence and diversity.Women and underrepresented minority candidates are encouraged to apply.Brandeis University is an affirmative action/equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

June 13, 2018

3rd International MOBI Conference

by Daniel Ferris

11 - 14 JULY, 2018 3RD INTERNATIONAL MOBILE BRAIN/BODY IMAGING CONFERENCE http://mobi2018.bpn.tu-berlin.de/ Berlin, Germany ______ Speakers Diane Damiano Chief of Functional & Applied Biomechanics NIH Arthur Kramer Professor of Psychology & Engineering, Northeastern University Scott Makeig Director Swartz Center for Computational Neuroscience Klaus Gramann Chair Biological Psychology and Neuroergonomics, Technical University Berlin Dan Ferris Robert W. Adenbaum Professor of Engineering Innovation, University of Florida Juliet King Director Art Therapy, Indiana University School of Medicine Stefan Debener Chair of Neuropsychology, University of Oldenburg John Foxe Killian J. and Caroline F. Schmitt Chair in Neuroscience, University of Rochester Medical center Helen J. Huang Professor, University of Central Florida Jose Luis Contreras-Vidal Hugh Roy and Lillie Cranz Cullen Distinguished Professor, University of Houston Thorsten Zander CEO, Zander Laboratories B.V., Amsterdam, The Netehrlands Peter Koenig Chair Neurobiopsychology, University of Osnabrueck Girija Kaimal Professor Creative Arts Therapies, Drexel University Tzyy-Ping Jung Co-Director Center for Advanced Neurological Engineering, UCSD Hirokazu Tanaka Professor School of Information Science, Japan Advanced Institute of Science and Technology Paola Pinti Research Associate Dept. of Medical Physics and Biomedical Engineering, University College London Edmund Wascher Chair of Ergonomics, Leibnitz Research Center for Working Environments and Human Factors Janna Protzak Postdoctoral Researcher, Technische Universitaet Berlin Tim Mullen CEO Qusp Hasan Ayaz Professor School of Biomedical Engineering, Science and Health Systems, Drexel University Julia Kline Senior Researcher Fitbit, San Francisco Guy Cheron Director Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Eduardo Macagno Professor Biological Sciences, University of California San Diego Tal Shafir Research Fellow, The Emili Sagol Creative Arts Therapies Research Center, University of Haifa Guido Orgs Lecturer, Department of Psychology, Goldsmiths, University of London Grainne McLoughlin Associate Professor, Cognitive Neuroscience, King’s College London Chin-Teng Lin Director, Computational Intelligence and Brain Computer Interfaces, University of Technology Sydney Martin Seeber Research Scientist, Functional Brain Mapping Lab, University of Geneva Stephanie Scott Researcher, Brain-Computer Interface Laboratory, Colorado State University Lewis Chuang Group leader, Max Planck Institute for Biological Cybernetics Christer Ahlström Researcher, The Swedish National Road and Transport Research Institute Sha Xin Wei Director School of Arts, Media + Engineering, Arizona State University Pierfilippo De Sanctis Professor Albert Einstein College New York Conny Kranczioch Research Scientist, Department of Psychology, University Oldenburg Simon Ladouce Impact Fellow, Department of Psychology, University of Stirling Angus Hunter Professor, Health and Sport Science, University of Stirling Hanna Poikonen Faculty of Medicine, University of Helsinki John Iversen Research Scientist, University of California San Diego Agnieszka Wykowska Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Genua Elsa Kirchner Robotics Lab, University of Bremen Andreas Mierau Exercise & Sport Science, LUNEX International University of Health, Luxembourg Nadja Schott Professor, Institute of Sport and Exercise Sciences -- Daniel P. Ferris, Ph.D. Editor-In-Chief, IEEE-TNSRE editortnsre(a)gmail.com

June 13, 2018

PhD position in neuromorphic engineering - Toulouse, France

by Timothée Masquelier

Beating Roger Federer: Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device Goal: PhD grant. When: starting from September 2018 (date may be flexible to some extent) Topic: How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system – based on FPGA circuits and ARM processor – an artificial neural network which would replicate – and perhaps beat – the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. The project is funded by a French National Research Agency (ANR), involving two sites and several researchers: − Robin Baurès, Benoit Cottereau, Timothée Masquelier and Simon Thorpe, CerCo, Toulouse. − Michel Paindavoine, GST, Dijon. Where: The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. Tasks: − Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. − VHDL coding to implement these numerical filters into the FPGA circuits of the cameras − C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system − Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball’s trajectories Required skills: − Strong knowledge on electronic, and openness to computational neurosciences − Knowledge in signal-image processing, and artificial neural network − Interest for multidisciplinary research − Ability to turn smoothly autonomous, once the road has been set − Ability to be at the interface of two scientific fields and two working areas − Programming with Matlab and/or Python for simulating the neural network − Programming in VHDL language for FPGA circuits − Programming in C/C++ language for porting the algorithms on ARM microprocessors − French is not a requirement if fluent in English, but willingness to learn would be beneficial Citizenship Eligibility: For security / defense reasons, an evaluation will be made of the candidates before any possible acceptation. Relevant publications for the project: − Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5),1259-1276. − Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. − Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. − SmartNeuroCam de GST : https://gsensing.eu/fr/category/sections/products Contact: Robin Baurès, PhD Associate Professor CerCo, Université Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 – France Office phone: 0033 (0)5 62 74 62 15 Email : robin.baures(a)cnrs.fr Pr Michel Paindavoine GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine(a)gsensing.eu -- Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/

June 12, 2018

POSTDOCTORAL POSITION AT THE UNIVERSITY OF ROCHESTER

by Tatiana Pasternak

POSTDOCTORAL POSITION IN THE NEUROSCIENCE OF PERCEPTUAL DECISIONS Postdoctoral position to study cortical circuitry underlying memory-guided perceptual decisions is available immediately in the laboratory of Dr. Tatiana Pasternak. Experimental approaches include extracellular multi-electrode recordings and inactivation of spiking and LFP activity from prefrontal and extrastriate visual cortical regions of non-human primates during complex behavioral tasks. An important component of the work is a collaboration involving computational modeling aimed at mechanisms underlying maintenance and utilization of visual information in decision-making. Preference will be given to candidates with strong quantitative background with experience in the analysis of physiological data and extracellular recordings. Applicants with strong background in related disciplines of systems neuroscience and/or computer science & engineering are welcome to apply. Experience with MATLAB/Python programming and proficient knowledge of the English language are required. The University of Rochester offers a stimulating research environment and excellent opportunities for interactions and training in cognitive neuroscience and visual science. Interested applicants should send CV and names/contact information of three references to Dr. Pasternak. Please include a cover letter detailing your current research activities, expertise and the reasons for your interest in this position. **************************************** Tatiana Pasternak, Ph.D. Professor Del Monte Institute for Neuroscience Departments of Neuroscience, Brain & Cognitive Science, Biomedical Engineering, and Center for Visual Science University of Rochester https://www.urmc.rochester.edu/labs/pasternak.aspx <https://www.urmc.rochester.edu/labs/pasternak.aspx>

June 11, 2018

IBRO Simons Computational Neuroscience Imbizo 2019 - call for applications

by Antrobus, Alexander

The IBRO-Simons computational neuroscience imbizo is a summer school in computational neuroscience and machine learning, hosted each January in Cape Town, South Africa. The event is generously sponsored by the International Brain Research Organisation (IBRO) and the Simons Foundation (Simons). "Imbizo" is an isiXhosa word, meaning "A gathering to share knowledge". The aim of the isiCNI is exactly this: to create an environment in which young African and international students can explore computational neuroscience together, forming strong friendships in the process. Three weeks of intensive lectures, tutorials, projects and fun! When and where? January 6th - 27th 2019 Cape Town, South Africa TO APPLY: https://imbizo.africa<https://imbizo.africa/> [http://isicni.gatsby.ucl.ac.uk/img/Africagrey_trans_small.png]<https://imbizo.africa/> imbizo.africa - #isiCNI2019<https://imbizo.africa/> imbizo.africa The IBRO-Simons Computational Neuroscience Imbizo: a computational neuroscience school in Cape Town, South Africa Faculty for 2019 include: Dora Angelaki (Bayor College, Houston) Demba Ba (Harvard Uni, Boston) Sophie Denève (ENS, Paris) Adrienne Fairhall (Univ of Washington, Seattle) Peter Latham (Univ College London) Timothy Lillicrap (Google Deepmind, London) Joseph Raimondo (Univ of Cape Town) Athanassia Papoutsi (IMBB-FORTH, Hellas) Srikanth Ramaswami (EPFL, Lausanne) Blake Richards (Univ Toronto) Andrew Trevelyan (Newcastle Univ., Newcastle) Misha Tsodyks (Weizmann Inst., Rehovot) Tim Vogels (Oxford) Byron Yu (Carnegie Mellon Univ, Pittsburgh) Who should apply? The Imbizo is designed to introduce students with backgrounds in analytic fields (computer science, statistics, physics, mathematics, engineering, etc.) to the field of computational neuroscience. It will also benefit advanced experimental biologists who would like to learn more computational skills. It also provides an opportunity for students already working in computational neuroscience to do 3 weeks of intensive, focused work in a different sub-topic of the field. Students should generally be at Masters/early PhD level, and have completed at least a 2nd-year university level course in computer science, statistics, physics or mathematics. Some coding experience will also be helpful. More advanced level students (post-Docs, early career PIs) may also be accepted if they can motivate how the courses at the Imbizo could help their career. Well motivated, exceptional undergraduates will also be considered. African students are especially encouraged to apply. What does it cost? The attendance fee for the isiCNI2019 is EUR 1,100.00. Thanks to our generous sponsors, significant bursaries are available to subsidise and waiver student fees, and provide some travel bursaries. Funding will be allocated according to need and merit. Please be sure to complete the relevant section of the application. For more information, please visit https://imbizo.africa<https://imbizo.africa/> [http://isicni.gatsby.ucl.ac.uk/img/Africagrey_trans_small.png]<https://imbizo.africa/> imbizo.africa - #isiCNI2019<https://imbizo.africa/> imbizo.africa The IBRO-Simons Computational Neuroscience Imbizo: a computational neuroscience school in Cape Town, South Africa Or contact isicn.imbizo[AT]gmail.com Thanks and regards IBRO-Simons Computational Neuroscience Committee 2019

June 11, 2018

postdoctoral position in computational neuroscience at the IIT - Italy

by Stefano Panzeri

A postdoctoral position is currently available at the Istituto Italiano di Tecnologia, within the new Center for Human Technologies in Genoa, Italy. The research will be jointly supervised by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and Cristina Becchio ( https://www.iit.it/it/people/cristina-becchio) The aim of this project is to investigate, using both neural network models and the mathematical analysis of behavioral, psychophysical and neuroimaging data from cognitive experiments, how motor variability affects action observation and prediction in both typically developing individuals and individuals with autism. The laboratories of the two supervisors offer a wide range of interdisciplinary expertise in computational and cognitive neuroscience, including advanced analysis, neural analyses techniques, neural network modeling, motion tracking, psychophysics and neuroimaging techniques. The laboratories offer a thriving, well-funded research environment with extensive international collaborations and ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific scientific discipline, with a solid computational background and a keen interest in neuroscience and cognition. The ideal candidate is a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment and is willing to interact with both experimental and theoretical cognitive neuroscientists. The formal deadline for applications is *July 9**th** 2018*. However, interested candidates are advised to contact informally Stefano Panzeri ( stefano.panzeri(a)iit.it) *as soon as possible*. The formal application should be sent by email to *jobpost.75446(a)iit.it* <jobpost.75446(a)iit.it>, *quoting “One post-doctoral position at the interface between Computational and Cognitive Neuroscience - CB 75446 CB 75447” in the subject*. The formal application should contain the CV, a brief statement of research interests, and names and email addresses of 2 referees. Please see the following link for further details: https://www.iit.it/careers/openings/opening/767-one-post-doctoral-position-… Yours truly Stefano Panzeri

June 11, 2018

An Electrodynamic Theory of the Brain

by Patirniche, Dinu

Dear Colleagues, What is a meter? If you say a unit length, you are correct. However, the meter is not just any unit of length, but one that is relevant for you as a human. Mature humans are around 1.70m high, and walk comfortably at 1m/s. But why do we use the meter at all, when it comes to expressing events and distances encountered in the brain? A commonly held biophysical dogma says that magnetic interactions occurring among neighboring compartments of biological tissues, such as for example the different neurons in a brain, can be ignored. The typical argument used to give credit to all biophysical theories rooted in electrostatic is related to the observation that the vast majority of all electrical events within living tissues propagate are incredibly low speeds. Thus, since action potentials (APs), that is, sharp fluctuations of the electric field, are seen to propagate at speeds between 1 and 100 m/s, any dynamic induction phenomena arising due to the presence of such an event is apriorily excluded. And indeed, with meter-long sensors there is hardly any significant electrodynamics signals to be recorded. However, acknowledging that the AP is playing a decisive role in the chemical transmission cycle, we could express the AP's speed in units that are relevant to this process. Since the dendritic spine is an integral part of the chemical transmission machinery, we could introduce a new unit of length and call it the "dendritic-spine-head" to mean 1 micro-meter, or 10^-6 m. Thus, referring to the spine as an observer of the AP, this event propagates at 1,000,000 "dendritic-spine-heads"/s. From the perspective of a spine, the production of such an event is anything but a stationary phenomenon, appearing necessary to consider what an electrodynamic theory might say about the interactions between an incoming electrical pulse and a fixed spine. In following this route, I came to the conclusion that all biological organisms can be easily decomposed into a finite set of disjoint, and electrically insulated volumes, that appear to function as a set of nested highly-exotic electromagnetic antennae. If this view can be maintained, understanding brains as room-temperature quantum computers, and life as a globally coherent state within some finite reach, is inevitable. I present this theory in a preprint entitled Dynamic Aspects of Finite Architectures (http://doi.org/10.13140/RG.2.2.20815.79527) and invite you to read, comment and share this manuscript. Best regards, Dinu Patirniche.

June 11, 2018

Ph.D. Computational Neuroscience @University of Padova

by suweis infn

Dear all, call are open for Ph.D. position in Computational Neuroscience @ the Padova Neuroscience Center, University of Padova (http://pnc.unipd.it/phd-neuroscience/) In particular we propose three different projects: - The Critical Brain in Action (http://pnc.unipd.it/wp-content/uploads/2018/06/P19_Suweis.pdf) - Controllability and Observability of Rat Brain Activity (http://pnc.unipd.it/wp-content/uploads/2018/06/P17_Vassanelli.pdf) - Intrinsic brain activity and sensory coding in the rodent whisker somatosensory system (http://pnc.unipd.it/wp-content/uploads/2018/06/P18_Vassanelli.pdf) The deadline for the application is 26 June 2018. Interested candidate can contact me suweis(a)pd.infn.it Please forward this message to collaborators and students. Thanks Samir Suweis - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Samir Suweis, Ph.D. https://impactstory.org/u/SamirSuweis <https://impactstory.org/u/SamirSuweis> @SamirSuweis Research Scientist (RTDa) LIPh Lab, Physics Department, University of Padova Tel: +39 049 827 72 51 www.pd.infn.it/~maritan/people/Samir/samir.html

June 10, 2018

Post-doctoral research scientist position for psychophysics in audio-visual virtual reality

by Seeber, Bernhard

Dear List, we are inviting applications for a post-doctoral research scientist to join our team for research on psychoacoustics in complex audio-visual virtual environments. Main responsibilities are: - Development of novel techniques for and auditory experiments in interactive audio-visual virtual reality - Development of analysis methods for behavioral responses and statistical analysis of the results - Research on binaural hearing and auditory scene analysis with normal hearing listeners - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. The position is full time and will start at the earliest convenient date. Qualifications: - Successfully completed doctoral degree (PhD) in one of the following areas: psychoacoustics, audio technology, virtual reality, acoustics, multimodal interaction, signal processing, or a related area - Knowledge and experience desirable in designing and analyzing psychophysical experiments, models of the auditory system, virtual acoustics, audio signal processing, machine learning, auditory scene analysis, binaural hearing, speech perception and speech tests - Very good programming skills in Matlab, Python, or C/C++ - Excellent written and oral communication skills as well as experience with scientific publications - Interest in basic research and the development of technical systems in virtual reality - Flexibility and good interpersonal skills - Interest in supervising students, helping with teaching, and raising external funds. We offer... you the opportunity to join a dynamic, interdisciplinary team, to work with up-to-date technical equipment including an anechoic chamber hosting an audio-visual virtual reality system, and to learn about the latest methods in hearing research. As part of the DFG collaborative research center "Hearing acoustics: Perceptual principles, Algorithms and Applications" you will work closely with our project partners at the University of Oldenburg. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich (www.bccn-munich.de) the Munich School of BioEngineering (www.bioengineering.tum.de) the Graduate School of Systemic Neurosciences (www.gsn.uni-muenchen.de) the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please see www.aip.ei.tum.de for further information. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension to 4 years. Women are explicitly encouraged to apply. Severely handicapped persons will be favored if they are equally qualified. In principle, the position could also be filled part-time. Munich - the city famous for the Oktoberfest, high-end cars and its unique location to the Alps - is a bustling, international and interesting place to live which offers a wide range of opportunities to engage in cultural and leisurely activities - from opera to skiing. Interested? I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application preferably by email no later than 30 June 2018 to: Prof. Dr.-Ing. Bernhard Seeber Professorship for Audio Information Processing Technical University of Munich Arcisstrasse 21 80333 Munich Germany Email: aip(a)ei.tum.de. The job advertisement can also be found at: https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20180608_072800 Kind regards, Bernhard

June 8, 2018

Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST

by Luigi Malagò

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 30 June 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-lea rning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 30 June 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

June 8, 2018

Postdoc position in computational neuroscience- University of Calgary

by Roberto C Sotero

The Computational Neurophysics Lab at the University of Calgary ( www.soterolab.com) headed by Dr. Roberto C. Sotero, is looking for a talented postdoctoral fellow, interested in working in the field of computational neuroscience, specifically modeling and identifying brain networks from EEG and fMRI data, and developing model-based control methods to steer these networks from their pathological dynamics towards healthy dynamics. As an example, see our recent paper: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.10061… The perfect candidate has a strong mathematical, physical, or engineering background (or equivalent), programming skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. Applications including a CV, the statement of research interests, and the names and contact information of two references should be sent to roberto.soterodiaz(a)ucalgary.ca. Applications will be assessed as they arrive, and the position will remain open until filled. Salary will be based on University of Calgary post-doctoral rates and commensurate with experience. Best regards, Roberto C. Sotero, PhD Assistant Professor Department of Radiology Hotchkiss Brain Institute University of Calgary, Alberta, Canada www.soterolab.com roberto.soterodiaz(a)ucalgary.ca

June 7, 2018

PhD position, University of Innsbruck (Austria)

by Antonio Rodriguez-Sanchez

Ph.D. Student Position in Robot Learning or Computer Vision at U. Innsbruck The research group in Intelligent and Interactive Systems <https://iis.uibk.ac.at/>, led by Profs. Justus Piater and Antonio Rodríguez-Sánchez, has an opening for a Ph.D. student, on a university assistant position that includes minor teaching requirements. The research will be loosely aligned with ongoing research projects <https://iis.uibk.ac.at/research/projects> in the lab: deep learning in computer vision or robotics computational models of biological vision biologically-inspired computer vision robot vision and closed-loop sensorimotor interaction open-ended and intrinsically-motivated robot learning concept discovery by learning robots goal-oriented exploratory learning prediction of action effects robot skill optimization human-robot interaction and collaboration How to Apply Interested applicants should send a letter of motivation, a curriculum vitae including URLs of English-language theses and dissertations, scanned transcripts and diplomas, and contact information of at least two references in PDF to Justus.Piater(a)uibk.ac.at <mailto:Justus.Piater@uibk.ac.at>. Applications will be considered as they are received, until all positions are filled. Starting date is October 2018 or earlier. More details on https://iis.uibk.ac.at/jobs <https://iis.uibk.ac.at/jobs> Priv. Doz. Antonio Rodríguez-Sánchez, PhD Intelligent and Interactive Systems Dept. of Computer Science - Institut für Informatik University of Innsbruck - Universität Innsbruck Austria – Österreich https://iis.uibk.ac.at/public/antonio/ <https://iis.uibk.ac.at/public/antonio/>

June 7, 2018

Combined Postdoc and science manager to be integrated into the Human Brain Project – Data-driven modeling of plasticity combined with project coordination

by Jeanette Hällgren Kotaleski

Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting a joint postdoc / science manager to be working within the Human Brain Project. Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic plasticity will be done. The first year also research coordination and management is an important challenge of the job. Position can be prolonged (up to maximally 2 or 4 years, the latter if one has received a PhD within the last 3 years). More info and how to apply at: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:208384/wher… All the best, Jeanette Hellgren Kotaleski Prof, Dept Computational Science and Technolgy, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm

June 5, 2018

Master programme in Neuroinformatics and Computational Neuroscience

by Marcus Kaiser

Dear all, Please forward the following to interested final year UG students. our one-year master degree program in Neuroinformatics and Computational Neuroscience at Newcastle University is now accepting student applications. The course focuses on handling brain connectivity datasets, analyzing electrophysiological recordings, and simulating neural activity and development. Applications range from theoretical neuroscience and machine learning to experimental and clinical research. There are more than a dozen faculty members in the areas of Neuroinformatics, Health Informatics, and Neurotechnology within Newcastle University (see overview at http://neuroinformatics.ncl.ac.uk/ ). Close interactions with experimental and clinical researchers are a key component of the course and the dissertation research project. Ongoing research areas in Newcastle include neuroimaging, psychophysics, systems neuroscience (visual, auditory, and motor system), ageing, neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips, and connectomics (http://www.ncl.ac.uk/ion ). Newcastle University hosts around 100 principal investigators in the neurosciences. You can find out more about the program and how to apply at http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscienc… COURSE OUTLINE The MSc in Neuroinformatics is a full-time, one-year advanced masters course designed for students who have a good degree in the biological sciences or the physical sciences (computer science, mathematics, physics, engineering). It provides the specialist skills in core Neuroinformatics courses (such as computing and biology) with a significant focus on the development of research skills. Prior experience with computers or computer programming is not required. The program is ideal for students aiming for careers in industry or academia. The course is based in the School of Computing but there are strong links with biomedicine, engineering, and the Institute of Neuroscience. WHY STUDY AT NEWCASTLE? The MSc in Neuroinformatics is a truly interdisciplinary degree and provides the dual skills necessary to establish a rewarding career in this research area. The Newcastle program has a research focus on data management, network analysis (e.g. Kaiser, Neuroimage, 2011), and simulation. Newcastle is among the pioneers of the field in the UK and hosted the £4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. We are currently involved in the £10m EPSRC/Wellcome Trust-funded CANDO project for developing an implantable optogenetic device for epilepsy patients (http://www.cando.ac.uk/ ). Newcastle has strong links with the International Neuroinformatics Coordinating Facility (INCF). Currently, members of the faculty lead Neuroinformatics UK (http://www.neuroinformatics.org.uk/ ) and co-chair the Neuroinformatics Special Interest Group of the British Neuroscience Association (BNA). COURSE CONTENT Semester 1 contains modules to build the basic grounding in, and understanding of, Neuroinformatics theory and applications, mathematics and statistics, and programming. Semester 2 introduces modules that focus heavily on introducing subject-specific research skills and includes options for choosing modules. A major part of the programme is a research project that will occupy approximately six months. This project may be associated with staff in any of the Schools mentioned above, thus providing a wide range of exciting areas in which the newly learnt Neuroinformatics skills can be deployed. HOW TO APPLY Applications for this program are now being accepted. Please see http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscienc… for more information. Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab<https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org<http://www.dynamic-connectome.org/>/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study

June 5, 2018

Postdoc in Brain Network Analysis and Modeling at Vanderbilt University

by Mikail Rubinov

Dear Colleagues, The Rubinov lab at Vanderbilt University Biomedical Engineering (http://www.rubinovlab.net) analyzes and models brain networks across modalities, species and scales. Our research interests broadly include: 1) Integrative statistical models of big neuroscience networks. 2) Evolutionary principles of brain network organization. 3) Information transfer in neural systems. 4) Neuropsychiatric connectivity phenotypes. We are recruiting a motivated postdoctoral researcher to join our lab. The position will be based at the Department of Biomedical Engineering and will be supervised by Dr. Mika Rubinov. There will be opportunities to develop exciting research ideas at the intersection of systems neuroscience, evolutionary neuroscience, network science and data science, and to collaborate with leading investigators at Vanderbilt University and Janelia Research Campus (Howard Hughes Medical Institute). The successful applicant should be passionate about neuroscience and understanding the brain, have good programming skills, and a strong background in a quantitative discipline, including but not limited to network science, computational neuroscience, computational biology, mathematics, physics, computer science, or electrical engineering. Preference will be given to applicants with a good publication record and with experience in analysis of complex datasets. The applicant must have completed their PhD by the start of this position. The position will be initially for one year, with possibilities for yearly extensions subject to satisfactory annual reviews. The salary will be commensurate with the applicant’s experience and qualifications. Vanderbilt is an elite research university (https://www.usnews.com/best-colleges/vanderbilt-3535) located in Nashville, one of the hottest cities in the US today (http://www.visitmusiccity.com/media/rankings) Applicants are welcome to email Mika Rubinov for more details and information. Please submit the following application materials directly to mika.rubinov(a)vanderbilt.edu 1) A cover statement of the applicant’s fit for this position. 2) Curriculum Vitae. 3) A list of 2-3 key publications. 4) Contact details for 2-3 referees. Review of applications will begin immediately and will continue until the position is filled. https://www.nature.com/naturejobs/science/jobs/645613-postdoctoral-research… Best regards, Mika

June 4, 2018

Postdoctoral Position @UPenn in Vision Science & Computational Neuroscience

by Burge, Johannes

I am looking for a postdoctoral researcher to fill an NIH-funded position on the research team in the Natural Vision Lab at the University of Pennsylvania (http://burgelab.psych.upenn.edu<http://burgelab.psych.upenn.edu/>). My lab works to understand how vision works with natural stimuli. We use databases of 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 tasks and coding problems that are directly or indirectly related to motion and depth perception. My lab is also 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 computational and programming skills are necessary, as well as experience designing and running psychophysical experiments. Familiarity with Matlab and Psychtoolbox is required. A solid background in computer graphics and knowledge of C/C++ and object oriented programming is 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 before the end of Summer 2018. 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 seriously 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

June 4, 2018

IBRO-Simons Computational Neuroscience Imbizo 2019: call for Teaching Assistants

by ucgtada＠ucl.ac.uk

The IBRO-Simons Computational Neuroscience Imbizo (isiCNI) is a computational neurosciencesummer school held in Cape Town, South Africa. We are looking for several Post-Doc (oradvanced PhD) researchers to join our team as Teaching Assistants (TAs) for the isiCNI2019 in January 2019. *About the Imbizo:* The school hosts 30 students for an amazing 3 weeks of lectures, tutorials, projects and parties! All this takes place right on Muizenberg beach, between the mountain and the ocean. It's a spectacular location. The dates for the isiCNI2019 are*January 6th - 27th 2019.* The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities for the full 3 weeks. This has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the isiCNI project is to help young African researchers grow their academic peer and friend group. *About being a TA:* EachTAruns one afternoon tutorial in the first week of the school, which they design themselves. Each TA will teach a different topic, which the TA's choose among themselves, to try and provide students with a broad exposure to problems and methods in comp neuro. EachTAis also assigned 5 students to supervise for project work during the second 2 weeks of the school. TAs are integral in helping run the school. In addition to academic support, they foster good social interaction and academic discussions between students and help 'shy' students meet faculty. They also act as 'social' care-takers, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfil these roles, TAs need to be at all school meals and activities. We will also need a little help processing studentapplications*during August*. *What we provide:* All this is obviously at no cost to TAs. We cover a direct as possible economy class ticket to Cape Town, as well as all board and lodging during the school. In addition, TAs will receive a cash budget for 'hosting purposes' during the school (e.g. buying some beers/ice-creams for students, train tickets, etc.) *I'm interested, how do I apply:* If you think you would like to join us for this amazing experience, please send us a brief CV (2 or 3 pages is fine) toisicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com>. Please include (as a cover letter or in your email) a short motivational statement for why you would be a good fit. The_*DEADLINE is JUNE 18th 2018*_ We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Dr Peter E. Latham, Dr Tim Vogels, Dr Joseph Raimondo and Alex Antrobus IBRO-Simons Computational Neuroscience Imbizo Committee 2019 #isicni2019 Twitter: @isicni

June 4, 2018

FENS Satellite Symposium: From Scanner to Bedside

by Marcus Kaiser

Dear colleagues, I would like to draw your attention to our FENS Satellite Symposium "From Scanner to Bedside - What do connectome and gene expression say about brain diseases?" chaired by Prof. Marcus Kaiser (Newcastle University) and Dr Markus Butz-Ostendorf (Biomax): https://www.biomax.com/symposiums/from-scanner-to-bedside/ In this FENS satellite symposium on Friday 6 July, research with a high potential for applications in neurology and psychiatry is presented. We want to bring together scientists with clinicians from all disciplines dealing with brain diseases and to provide a forum for discussion and exchange what steps are needed to bring novel techniques into clinical applications. Keynote Lectures are given by PROF. DR. ANDREAS MEYER-LINDENBERG (Zentralinstitut für seelische Gesundheit, Mannheim, Germany) PROF. DR. ED BULLMORE (Cambridge University, Cambridge, UK) PROF. DR. DR. ELISABETH BINDER (Max-Planck Institute for Psychiatry, Munich, Germany) For the full program see https://www.biomax.com/symposiums/from-scanner-to-bedside/ Participation is free but please register at https://ssl.biomax.de/Symposium/register.html Looking forward to welcoming you in Berlin! Best regards from the organizers, Marcus Kaiser & Markus Butz-Ostendorf -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab<https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org<http://www.dynamic-connectome.org/>/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study

June 2, 2018

Job Vacancy Announcement - Health Scientist Administrator (Program Officer) Computational Neuroscience and Electrophysiology Program

by Michele Ferrante

*Health Scientist Administrator (Program Officer)Computational Neuroscience and Electrophysiology ProgramNational Institute of Mental HealthDepartment of Health and Human Services* The National Institute of Mental Health (NIMH) Division of Neuroscience and Basic Behavioral Research announces openings for Health Scientist Administrators (Program Officer) to guide and manage a grants program supporting basic research in computational neuroscience and electrophysiology. The Program Officer will lead an extramurally-funded and innovative program employing computational and mathematical approaches to modeling dynamical neuronal processes underlying brain signaling from molecules and cells, as well as complex behaviors (e.g., affect, cognition, executive function, and social behavior). Topic areas within this program include empirical and computational studies (theory- and data-driven models), that combine mathematical and computational tools with neurophysiological, neuroanatomical, or neurochemical techniques to identify the biological mechanisms underlying single cell and circuit dynamics. The program supports studies to develop novel analytical and statistical approaches to high dimensional data sets to identify patterns and relationships among mental health relevant variables. Hypothesis-driven studies seeking to integrate diverse levels of analysis, casual manipulations, and theoretical modeling of neural dynamics are of special interest as are studies developing novel computational algorithms and methods for acquisition, analysis and interpretation of neural data in model systems. This position provides an opportunity to impact priorities, develop new research initiatives and to contribute to the advancement of a national program of computational neuroscience research spanning molecular and cellular electrophysiological analyses. Individuals are encouraged to apply who have research experience using a broad range of computational methods and electrophysiology. General responsibilities will include administering and managing an extramural portfolio of research grants, interacting with researchers and program officers for related programs at NIMH, NIH, and other funding agencies, and developing new research initiatives. This position requires working both independently and collaboratively. Strong organizational, oral, written and communication skills are also required. Salary will be commensurate with the experience of the candidate. A full package of federal Civil Service benefits is available, including: retirement, health and life insurance, long term care insurance, leave, and a Thrift Savings Plan (401K equivalent). The successful candidate is subject to a background investigation and public financial disclosure requirements. For medical and scientific specialties, qualification requirements, evaluation criteria, and application instructions, please view the vacancy announcement at https://jobs.nih.gov/globalrecruitment/. Interested candidates should send a letter of interest, including a curriculum vitae to *NIMHsearch(a)mail.nih.gov* <NIMHsearch(a)mail.nih.gov>*.* The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities. HHS and NIH are Equal Opportunity Employers. https://www.nimh.nih.gov/about/careers/job-vacancy-announcement-health-scie… https://www.nimh.nih.gov/about/careers/dnbbs_job_announcement_hsa_computati… Please feel free to reach out (ferrantem(a)nih.gov) for guidance. Regards, Michele …………………………. Michele Ferrante, Ph.D. (ferrantem(a)nih.gov) Program Director: Computational Neuroscience & Computational Psychiatry National Institute of Mental Health 301-435-6782 <(301)%20435-6782>

June 1, 2018

CFP: Workshop on Crossmodal Learning for Intelligent Robotics in conjunction with IEEE/RSJ IROS 2018

by Pablo Barros

**Apologies for cross-posting** 1st CALL FOR PAPERS for the international workshop: * Crossmodal Learning for Intelligent Robotics * in conjunction with IEEE/RSJ IROS 2018 * Madrid, Spain - Friday 5 October 2018 * * Website: http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php * I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioural responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. Multisensory representations have been shown to improve performance in the research areas of human-robot interaction and sensory-driven motor behaviour. The perception, integration, and segregation of multisensory cues improve the capability to physically interact with objects and persons with higher levels of autonomy. However, the multisensory input must be represented and integrated in an appropriate way so that they result in a reliable perceptual experience aimed to trigger adequate behavioural responses. The interplay of multisensory representations can be used to solve stimulus-driven conflicts for executive control. Embodied agents can develop complex sensorimotor behaviour through the interaction with a crossmodal environment, leading to the development and evaluation of scenarios that better reflect the challenges faced by operating robots in the real world. This half-day workshop focuses on presenting and discussing new findings, theories, systems, and trends in crossmodal learning applied to neurocognitive robotics. The workshop will feature a list of invited speakers with outstanding expertise in crossmodal learning. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Confirmed Speakers 1. * Yulia Sandamirskaya * Institute of Neuroinformatics (INI), University and ETH Zurich 2. * Angelo Cangelosi * Plymouth University and University of Manchester, UK 3. * Stefan Wermter * Hamburg Universit, Germany IV. Submission 1. Topics of interest: - New methods and applications for crossmodal processing (e.g., integrating vision, audio, haptics, proprioception) - Machine learning and neural networks for multisensory robot perception - Computational models of crossmodal attention and perception - Bio-inspired approaches for crossmodal learning - Crossmodal conflict resolution and executive control - Sensorimotor learning for autonomous agents and robots - Crossmodal learning for embodied and cognitive robots 2. For paper submission, use the following IEEE template: <http://ras.papercept.net/conferences/support/support.php>* 3. Submitted papers should be limited to *2 pages (extended abstract)* or *4 pages (short paper)*. 4. Send your pdf file to barros(a)informatik.uni-hamburg.de AND jirak(a)informatik.uni-hamburg.de Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (to be arranged). Submissions will be peer reviewed consistent with the journal practices. V. Important Dates * Paper submission deadline: August 15, 2018 * Notification of acceptance: September 5, 2018 * Camera-ready version: September 15, 2018 * Workshop: Friday 5 October 2018 VI. Organizers * German I. Parisi * Hamburg University, Germany * Pablo Barros * Hamburg University, Germany * Doreen Jirak * Hamburg University, Germany * Jun Tani * Okinawa Institute of Science and Technology, Japan * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA -- 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/

June 1, 2018

Deadline extended to June 15th for abstracts for the 2nd International Youth Conference of Bionic Science and Engineering (IYCBE2018), 7th-9th November 2018, Odense, Denmark

by Jan-Matthias Braun

The deadline for abstract submission has been extended to June 15th, 23:59:59 Coordinated Universal Time (UTC). The 2nd International Youth Conference of Bionic Engineering (IYCBE2018) will be held on 7th-9th November 2018 in Odense, Denmark. WEBPAGE: http://iycbe2018.sdu.dk/ ****Abstract Submission Instructions and Publication Details**** The abstract should fit into 500 words, the title into 500 characters. Up to one figure or table can also be added. *Direct links to updated templates and all details are available at the conference webpage.* Then, submit your abstract on our submission page until 15th June 2018. https://easychair.org/my/conference.cgi?welcome=1;a=13832989;conf=iycbe2018 All accepted abstracts with oral or poster presentation will be published in Frontiers in Neurorobotics as an e-book. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of Frontiers in Neurorobotics and Journal of Bionic Engineering. ****Plenary Talks**** John Hallam, University of Southern Denmark, Denmark Title: From Lizards to LEGO, and back again? Zhendong Dai, Nanjing University of Aeronautics and Astronautics, China Title: Biomimetic on gecko locomotion: revealing the biology mechanism and developing robot for engineering. Han Zhiwu, Jilin University, China Title: Title: Fabrication and Performance of Bionic Strain Component ****Keynote speakers**** Thierry Darmanin, University of Nice-Sophia Antipolis, France Title: Tunable Conducting Polymer Nanotubes with Special Wetting Properties Zhiguang Guo, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, China Title: Bioinspired Separation Materials for Liquid Lubricants Alexander Spröwitz, Max Planck Institute for Intelligent Systems, Germany Title: Implementing and Testing Bioinspired Mechanisms on Robots to Understand Legged Locomotion Massimo Sartori, University of Twente, Netherlands Title: Neuro-Mechanical Modelling for Man-Machine Interaction Lars Heepe, Kiel University, Germany Title: Biological and Biomimetic Surfaces: Adhesion, Friction, and Applications Limei Tian, Jilin University, China Title: Non-bactericidal coating of bionic surfaces used for anti-biofouling ****Important Dates**** *Extended* Abstract Submission Deadline: 15th June 2018, 23:59:59 UTC – SUBMISSION IS OPEN Notification of Acceptance: 20th August 2018 Camera Ready Submission: 20th September 2018 Early Registration: 20th September 2018 Conference: 7th-9th November 2018 ****Scope of the Conference**** To meet the demand of the bionic scientists for academic communication, the 2nd International Youth Conference of Bionic Engineering (ICBSE2018) will be held on 7th-9th November 2018 in Odense, Denmark. This conference will be supported by the Youth Committee of International Society of Bionic Engineering (ISBE) and Frontiers in Neurorobotics and organized by University of Southern Denmark and Nanjing University of Aeronautics & Astronautics. The objective of this interdisciplinary conference is to provide an international forum for youth or outstanding scientists and engineers around the world who are interested in the field of bionic science and engineering. All aspects of bionic science and engineering and application areas are welcome, including, but not limited to, the following topics: Bio-inspired Robotics Bio-inspired Sensors and Actuators Bio-inspired Energy Storage Bio-inspired Flexible Electronics Bio-Inspired Solar Cells Biomimetic Engineering Embodied Artificial Intelligence and Neurorobotics Functional Morphology Musculoskeletal Systems, Biomechanics Biological Interface and Functionalization Biomimetic Materials, Biomimetic Structures Mechanics, Biomimetic Surfaces Biomimetic Design Methodologies Bionic Fluid, Biological Systems and Brain-Inspired Computing and Neuromorphic Systems. ****Awards**** The best abstract, as well as the best poster, will be awarded at the conference. ****Conference Format**** The conference will be single track with additional poster sessions. ORGANIZING COMMITTEE The Honorary Chair: Julian Vincent General Chair: Poramate Manoonpong Vice-General Chairs: Limei Tian, Zhiguang Guo Program Chair: Jørgen C. Larsen Local Arrangement Chair: Danish Shaikh Publication Chairs: Jan-Matthias Braun, Xiaofeng Xiong Registration Chair: Tórur Andreassen Media Operation Chair: Mathias Thor Technical Support: Peter Billeschou, Leon Bonde Larsen, David Docherty

May 31, 2018

CfP: Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data at BI 2018, Arlington, Texas, USA.

by Mufti Mahmud

*[Apologies for cross posting.]* *Call for Paper for Special Session on * *Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data* *11th Brain Informatics Conference (BI 2018), Arlington, Texas, USA, December 7-9, 2018* *Web: http://uta.engineering/conferences/bi-2018/ <http://uta.engineering/conferences/bi-2018/>* Organizers: *Mufti Mahmud1, M Shamim Kaiser2, Ning Zhong3, Nitish V Thakor4* *1* *Computing and Technology, Nottingham Trent University, NG11 8NS – Nottingham, UK* 2*Institute of Information Technology, Jahangirnagar University, Savar, 1342 – Dhaka, Bangladesh* 3*Dept. of Life Science and Informatics, Maebashi Institute of Technology, 371-0816 - Maebashi-City, Japan* *4**Singapore Institute for Neurotechnology, National University of Singapore, 117456 – Singapore; & * *Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, 21205 – MD, USA* *Introduction:* The brain receives and processes information simultaneously coming from diverse sources. The neurons, being the basic information processing units, interconnect to each other to form hierarchical and/or parallel pathways. Technologies related to neural systems engineering have been employed to study these pathways along with processing and modelling of neuronal data for disease diagnosis and brain decoding purposes. Combining both experimental and computational approaches in recent years, thanks to the advancements in neurotechniques, scientists can access large amount of neuronal data and apply computationally intelligent and nature-inspired machine learning techniques including deep learning and reinforcement learning on those data to suggest next generation experimental design aiming to decipher brain’s information processing capabilities and diagnose its diseases. *Scope:* Developing data-intensive and intelligent tools, as well as sophisticated neurotechniques, to process and analyse the neuronal big data is one of the biggest challenges posed to today’s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special session aims to provide a forum for scientists from diverse disciplines including – computer, electrical, biomedical, and neuro engineering – who are looking for more relevant information in interpreting brain functions and diagnosing diseases using expert and computationally intelligent systems. This special session expects to attract papers on recent research progress in the area of intelligent computational tools and techniques in acquiring and processing neuronal big data. The focus areas include, but not limited to, the following: Ø Neural systems engineering and technology to study neural pathways; Ø Processing and modelling of neuronal data for disease diagnosis and brain decoding; Ø Bio-inspired methods for network analysis and pattern recognition in neural data; Ø Novel machine learning techniques for neuronal big data analysis; Ø Application of deep and reinforcement learning to neuronal big data analysis; Ø Computationally intelligent techniques for neuroscience applications; Ø Neuroinformatics (including cloud computing and real-time systems); Ø Cognitive science applications (learning, workload, decision making, etc.) and data analytics; Ø Computational and imaging methods for human brain connectome; and Ø Information analysis in human brain machine interface (invasive, noninvasive). *Submission of papers:* Submit Springer Lecture Notes in Computer Science (LNCS) complaint – 10 page – pdf paper to the Special Session following the steps below: Ø Prepare the paper as per the Springer LNCS template from: http://www.springer.com/us/computer-science/lncs/conference-proceedings-gui… Ø Visit https://wi-lab.com/cyberchair/2018/bi18/scripts/ws_submit.php?subarea=S Ø Select the link: Special session on Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data Ø Select the link Submit a New Paper (TYPE I Submission) Ø Provide paper details (i.e., Author(s), Paper Title, Abstract, Keywords, PDF file to upload). *Important dates:* Ø Paper submission deadline: *30 July 2018* Ø Decision notification: *30 August 2018* Ø Special Session date: *7 December 2018* Ø Conference dates: *8-9 December 2018*. -- *Mufti Mahmud, PhD* | (Senior) Lecturer of Computing & Technology <https://www.ntu.ac.uk/sat/about/academic_teams/comp_tech.html> | School of Science & Technology <https://www.ntu.ac.uk/sat/> Office: ERD200 | Nottingham Trent University <https://www.ntu.ac.uk/> | Clifton Campus | NG11 8NS – Nottingham, UK Phone: +44 (0)115 84 83202 | Email: mufti.mahmud(a)ntu.ac.uk Meeting requests: https://doodle.com/mufti http://orcid.org/0000-0002-2037-8348 https://sites.google.com/site/muftimahmud/ https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en Senior Member, IEEE <https://www.ieee.org/> & ACM <https://www.acm.org/> Associate Editor, IEEE Access <http://ieeeaccess.ieee.org/> Editorial Board Member, Cognitive Computation <https://www.springer.com/biomed/neuroscience/journal/12559> & Big Data Analytics <https://bdataanalytics.biomedcentral.com/>

May 31, 2018

New book: Neural Information Theory

by James V Stone

I'd like to announce the publication of this book: 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 regards, James V Stone, University of Sheffield, UK.

May 31, 2018

[High Performance Computing] Become a specialist!

by Master in HPC

May 31, 2018

PhD studentship in Biocomputation Research Group, Centre for Computer Science and Informatics Research, University of Hertfordshire

by Shabnam Kadir

Applications are invited for a *PhD studentship* on *Computational frameworks for high-dimensional neural data* with *Dr. Shabnam Kadir *in the *Biocomputation Research Group* in the Centre for Computer Science and Informatics Research, University of Hertfordshire, U.K. *Project Description* New developments in experimental technology have led to petabytes of raw data being produced by experimental neuroscientists, which are increasingly publicly available, e.g. Allen Institute data http://www.brain-map.org/. In particular, we are in the realm where population recordings of tens of thousands of neurons are feasible thanks to, e.g. a new generation of large dense probes for electrophysiological recordings, imaging using 2-photon microscopy coupled with calcium fluorescent sensors. Large scale neuronal recordings require novel approaches for both processing and quantitative analysis. As well as using techniques from high-dimensional statistics, machine learning, information theory, we aim to explore new approaches from mathematical fields outside statistics, such as algebraic topology. The study of networks is a particularly important topic in neuroscience: neurons communicate with each other electrically via synapses, forming intricate networks. These networks can be studied using techniques from computational topology (e.g. persistent homology, clique topology). These could be used to extract information about subnetworks and assemblies, both from large scale recordings, and via connectomics derived from simulations (Blue Brain Project). We aim in this project to go beyond spike sorting and develop new tools and computational frameworks which would help interpret high dimensional data and interrogate how information is being processed by the brain, e.g. How are sensory stimuli (location in environment, visual and auditory stimuli) encoded? How can we characterise the neural activity associated with memory, attention, decision making and motor control? We shall be collaborating with labs at Imperial, Pennsylvania State University and UCL. More information can be found here: http://www.herts.ac.uk/_ _data/assets/pdf_file/0003/187455/Dec2017-computational-fram eworks-for-high-dimensional-neural-data.pdf *Requirements * We are looking for candidates with the following profile: - Strong first degree in a quantitative field such as mathematics, physics, computer science, engineering, computational neuroscience. - Strong programming skills (e.g. Python, MATLAB, C++). - Interest in neuroscience and biology would be helpful. A studentship from the PhD Programme in Computer Science provides approximately £14,750 per annum bursary plus the payment of student fees. Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment (2014), with 50% of the research submitted rated as internationally excellent or world-leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Please contact *Dr Shabnam Kadir* (s.kadir2(a)herts.ac.uk) for informal enquiries. Application forms are available under http://www.herts.ac.uk/a pply/schools-of-study/computer-science/our-research/the-phd- programme-in-computer-science and should be returned to Mrs Lorraine Nicholls and Mrs Emma Thorogood, Research Student Administrators, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, doctoralcollegeadmissions(a)herts.ac.uk. The short-listing process will begin on 25th June 2018. ------------------------------------------------------------ ---------------------------------------------------- Dr Shabnam Kadir Senior Lecturer School of Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, United Kingdom. Tel. +44 1707 284641 ------------------------------------------------------------ ----------------------------------------------------

May 30, 2018

Faculty position in systems neuroscience, U of Montreal

by Paul Cisek

Professor in Systems/Computational Neuroscience Faculty of medicine / Department of neurosciences Mandate description The Département de neurosciences at the Université de Montréal invites applications for a faculty position at the assistant or associate level, in Systems/Computational Neuroscience. We are seeking candidates who use experimental and/or computational approaches to study how large-scale distributed brain networks implement behavioural-level phenomena such as sensorimotor control and decision-making, with a particular emphasis on system-level learning mechanisms. Ideal candidates will either combine multi-electrode, multi-area neurophysiological studies in behaving animals (in particular non-human primates) with sophisticated computational modeling of brain function, or alternatively, will use predominantly computational approaches to study how biologically realistic large-scale and recurrent network models simulate behavioral-level phenomena. The Département de neurosciences offers state of the art laboratory space and animal facilities for rodent and non-human primates research. Montréal is a rich academic environment, with 4 major universities and a strong tradition of systems neuroscience. The candidates will have outstanding opportunities for collaborations with other systems neuroscientists at the Université de Montréal, McGill University, Concordia University and the Université du Québec à Montréal, as well as with leading experts in artificial intelligence, machine learning and deep-learning networks who are centered in the MILA/IVADO at the Université de Montréal. Responsibilities - The appointed candidate will be expected to maintain an active research program, supervise graduate students, have international collaborations, contribute to the academic life of the Department of Neurosciences, and teach undergraduate and graduate courses. - The candidate will collaborate closely with researchers working in three affiliated research centers at University of Montreal: CHU-Ste Justine (Pediatric Hospital), Centre Hospitalier Universitaire de Montréal, Hôpital du Sacré-Coeur de Montréal. - The teaching language is French; consequently, non-French-speaking candidates should become able to teach in French no longer than three years after their appointment. Requirements - The candidate needs to hold a PhD in neurosciences (or equivalent) and demonstrate significant experience at the post-doctoral level in the field of computational neurosciences. - The candidate needs to show exceptional track record in the field, including in sensorimotor control, decision making, neurophysiological studies in living animal, and computational approaches in order to study how neural network are modeling behavior. - The candidate needs to hold teaching experience at graduate and undergraduate levels, as well as experience in supervising post-doctoral fellowships, research assistants, and highly qualified research personal. - We will prioritize candidates with exceptional research productivity with a publication of articles in the best journals in the field, as well as a strong track record of research funding from national and international research agencies. - The ability and interest of the candidate to work in a multidisciplinary team (biochemists, biologists, engineers, bio informaticians, and clinicians) is mandatory. - Have sufficient knowledge of the French language (written and spoken) or be determined to learn it *. General information Posting No: MED 4-18 / 4 Posting period: June 15th, 2018 Salary: The University of Montreal offers a competitive salary and a complete range of employee benefits Start date: Autumn 2018. The announcement will remain open until the selection committee finds an acceptable candidacy. Application procedure Interested candidates should send their curriculum vitae, a letter explaining their motivation, research interest and competence in their area of expertise, and three letters of support, no later than June 15th 2018; at the following address (email correspondence is preferred): Dr Patrick Cossette, directeur Département de neurosciences Faculté de médecine Université de Montréal C.P. 6128, succursale Centre-ville Montréal (Québec) H3C 3J7 E-mail : nancy.crete(a)umontreal.ca <mailto:nancy.crete@umontreal.ca> *Linguistic Policy The Université de Montréal is a Québec University with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the worlds best specialists. In accordance with the institutions language policy, the Université de Montréal provides support for newly-recruited faculty to attain proficiency in French. Confidentiality The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview. Equal Access Employment Program Université de Montréal promotes diversity in its workforce and encourages members of visible and ethnic minorities as well as women, Aboriginal people, persons with disabilities and people of all sexual orientations and gender identities to apply. Immigration Requirements We invite all qualified candidates to apply at Université de Montréal. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents. Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: <mailto:paul.cisek@gmail.com> paul.cisek(a)gmail.com Web: www.cisek.org/pavel <http://www.cisek.org/pavel>

May 30, 2018

SenseLab survey

by Ted Carnevale

The SenseLab project applies neuroinformatics methods to make it easier to discover, understand, and reuse neuroscience models, and to relate those models to experimental data. We invite you to help guide the future development of ModelDB http://modeldb.yale.edu and the other SenseLab databases by taking this short survey: https://yalesurvey.ca1.qualtrics.com/jfe/form/SV_2sZuf5bxk99nTnf (Yale recipients: the survey's original URL is https:// yalesurvey.ca1.qualtrics.com/jfe/form/SV_2sZuf5bxk99nTnf minus the space between // and yalesurvey) The SenseLab Team https://senselab.med.yale.edu/ModelDB/modeldb_credits.cshtml

May 29, 2018