- Comp-neuro - lists.cnsorg.org

Faculty position in AI and Neuroscience, Cambridge
by Máté Lengyel 20 Dec '18

20 Dec '18

Faculty position in AI and Neuroscience Department of Engineering, University of Cambridge, UK Applications are invited for a University Lectureship (~ US Assistant Professor equivalent) at the intersection of Artificial Intelligence (AI) and Neuroscience (including Cognitive Science) in the Computational and Biological Learning Lab (cbl.eng.cam.ac.uk). CBL combines expertise in computational neuroscience and cognitive science (Mate Lengyel, Guillaume Hennequin, Rich Turner) and machine learning (Zoubin Ghahramani, Carl Rasmussen, Rich Turner, Jose Miguel Hernandez-Lobato). We particularly encourage applicants who would complement our current research activities. The successful applicant’s research should use AI-inspired computational and theoretical approaches to neuroscience (including computational cognitive science), or conversely, biological intelligence-inspired approaches to AI (with an emphasis on machine learning-based approaches), and may combine these approaches with behavioural experiments. This is a linked post offered in association with Wolfson College, and the successful applicant will be elected to an Official Fellowship of the College. Informal enquiries are welcome to: Mate Lengyel <m.lengyel(a)eng.cam.ac.uk> Guillaume Hennequin <g.hennequin(a)eng.cam.ac.uk> Richard Turner <ret26(a)cam.ac.uk> Timeline: - Closing date of applications: Friday, 1 February 2019 - Interviews: March-April 2019 - Decision expected: April 2019 Further information and details of the application process can be found at http://www.jobs.cam.ac.uk/job/19416/ The University of Cambridge values diversity and is committed to equality of opportunity. -- Mate Lengyel Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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Research positions in Neuromorphic computing in Singapore
by Yansong Chua 19 Dec '18

19 Dec '18

Multiple scientist and engineer positions are open for a neuromorphic program (on-going till 2021) in Singapore, at the Institute for Infocomm Research (I2R), A*STAR. The program is a multi-disciplinary effort, that straddles across the hardware (neuromorphic chip with RRAM, on-chip learning), middleware (emulator) and software (learning algorithms), and we aim to develop a demonstrating application system at end of the program. The program hence presents an unique research opportunity for candidates hoping to build a complete neuromorphic learning system. We are now in the second year of the program and have made good progress on all three aspects of the program. We have still a few openings for talented scientists and both software and hardware engineers who would be excited to work on any aspects of the program (hardware, middleware, software and system integration). Multiple top-ranked universities and research institutes in Singapore (NUS, NTU, IME, IHPC, I2R) are collaborating on the program. The work package I am in-charge of is primarily involved in the design of better algorithms for spiking neural networks. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal encoding: how to better encode external stimuli into spike based representations to facilitate decoding with high fidelity and also better learning performance (in terms of accuracy and power efficiency). - Supervised learning: given that spiking neural networks are asynchronous and sparse in their activities, the design of supervised learning algorithms that can fully capitalize on these properties becomes critical. - Mapping of state-of-art deep learning networks to spiking networks. Neuromorphic learning algorithms are still solving fairly simple problems compared to deep learning. For this, we would like to systematically borrow from the deep learning community networks and learning algorithms that can quickly boost the capabilities of spiking neural networks. - Unsupervised learning. STDP is well suited for unsupervised learning in spiking neural networks, and we would like to further advance STDP learning in spiking neural networks (both theory and applications). Preference will be given to candidates who can document knowledge in deep learning, spiking neural networks or signal processing (with interest in spiking neural networks). Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointment will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg)

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Joint A*STAR (Singapore) and King’s College London PhD Studentship
by Yansong Chua 19 Dec '18

19 Dec '18

We would like to encourage potential PhD candidates interested to work on understanding the role of stochastic neuron models in neuromorphic computing to apply for the above PhD studentship. We are including below a non-technical introduction to the project involved. The candidate will be jointly supervised by Prof. Osvaldo Simeone, Professor of Information Engineering, King's College London and Dr. Yansong Chua, Institute for Infocomm Research, A*STAR. For further queries, we maybe reached at: Prof Simeone: osvaldo.simeone at kcl.ac.uk Dr Chua: chuays at i2r.a-star.edu.sg More application details are also available at https://www.kcl.ac.uk/research/funding-opportunities/doctoral-research-oppo… https://www.kcl.ac.uk/research/funding-opportunities/doctoral-research-oppo… For all its recent breakthroughs, modern machine learning based on deep neural networks is becoming increasingly unaffordable in terms of computing and energy resources needed to run training algorithms that achieve state-of-the-art performance. This poses possibly insurmountable challenges for the implementation of efficient learning methods on resource-limited devices such as smart sensors or wearables. A possible solution to this problem is the adoption of the new paradigm of neuromorphic computing, which relies on energy-efficient sparse spike-domain processing and communication that are inspired by the operation of the brain. Whether Spiking Neural Networks (SNNs) can overcome the limitations of conventional deep networks for the implementation of low-power machine learning is a fundamental question that is currently being investigated by major technology companies and universities. In this project, this issue will be tackled both theoretically and through hands-on experiments by leveraging the complementary expertise of the respective research teams at KCL and A*STAR. Specifically, this research will seek to understand whether conventional deterministic models for SNNs can be improved by probabilistic models, which are typically used in neuroscience to model the brain operation, in terms of accuracy, speed, and robustness. In the first two years, at KCL, the project will concentrate on deriving models and learning rules for probabilistic SNNs. In the last two years, at A*STAR, the research will shift to aspects related to implementation, with a focus on the comparison between deterministic and probabilistic SNNs and on the use of nano-scale devices for the implementation of probabilistic SNNs.

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Call for abstracts, AMAM 2019, Adaptive motion in animals and machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland
by Auke Ijspeert 19 Dec '18

19 Dec '18

AMAM 2019, Adaptive Motion in Animals and Machines, Aug 19-23 2019, EPFL, Lausanne, Switzerland https://amam2019.epfl.ch/ Call for abstracts and robot demonstrations, deadline March 8th, 2019 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). Two-page abstract contributions are invited from all areas pertaining to adaptive motion in animals and machines. Accepted abstracts will be presented in poster sessions. Invited talks will be presented in oral sessions in a single track (see the exciting list of speakers below). We also encourage participants to contribute hardware demonstrations, as part of the ‘Robot Zoo’@AMAM2019. See https://amam2019.epfl.ch/ for instructions. 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 Sponsors: Maxon https://www.maxonmotor.com Plenary speakers: * Grégoire Courtine, EPFL, Switzerland * Monica Daley, Royal Veterinary College, UK * Dario Floreano, EPFL, Switzerland * Radhika Nagpal, Harvard University, USA * Lena Ting, Emory University & Georgia Institute of Technology, USA * Herman van der Kooij, University of Twente & Delft University of Technology, Netherlands Invited speakers: * Shinya Aoi, Kyoto University, Japan * David Franklin, Technische Universität München, Germany * John Hutchinson, Royal Veterinary College, UK * Tetsuya Iwasaki, University of California, Los Angeles, USA * Katsu Kagaya, Kyoto University, Japan * Sangbae Kim, MIT, USA * Megan Leftwich, The George Washington University, USA * David Lentink, Stanford University, USA * Charlotte Le Mouel, Max Planck Institute for Intelligent Systems, Germany * Poramate Manoonpong, University of Southern Denmark, Denmark * Kamilo Melo, EPFL, Switzerland * Katja Mombaur, Heidelberg University, Germany * Beth Mortimer, University of Oxford, UK * Ulrike Müeller, California State University, Fresno, USA * Jamie Paik, EPFL, Switzerland * Pavan Ramdya, EPFL, Switzerland * Chris Richards, Royal Veterinary College, UK * Nidhi Seethapathi, University of Pennsylvania, USA * Simon Sponberg, Georgia Institute of Technology, USA * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barbara Webb, University of Edinburgh, UK * Rob Wood, Harvard University, USA * Kotaro Yasui, Tohoku University, Japan 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 Local organization committee: * Jonathan Arreguit * Alessandro Crespi * Florin Dzeladini * Peter Eckert * Sylvie Fiaux * Anne Koelewijn * Mehmet Mutlu * Laura Páez * Amy Wu -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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2 Postdoc positions in Social Neuroscience - Portugal
by Agustin Petroni 18 Dec '18

18 Dec '18

The Biomedical Neuroscience Lab, Faculty of Sciences, University of Lisbon ( https://dpratalab.wordpress.com/) is seeking candidates for two postdoctoral positions, one in fMRI and the other in EEG. The selected candidates will be part of a project that studies the physiological bases of social reinforcement learning in healthy subjects and patients, in particular the oxytocin system. Applications should be sent via e-mail to diana.prata(a)kcl.ac.uk, including a CV with publications and a letter of interests by December 28th. The salary is competitive according to the cost of living in Portugal, and will be dependent on experience. Both positions are funded for a maximum of three years. Official call http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=106522

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Job Opening: Exploring Metrics of Consciousness in the Mouse (at the Allen Institute for Brain Science)
by Anton Arkhipov 18 Dec '18

18 Dec '18

A new exciting job opportunity is open at the Allen Institute for Brain Science: Scientist I – Exploring Metrics of Consciousness in the Mouse. Please apply here: http://alleninstitute.org/what-we-do/brain-science/careers/job-search/ Follow the link above and then choose the position “Scientist I – Exploring Metrics of Consciousness in the Mouse” from the list of all available positions. Please feel free to contact me with any questions: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. Thanks! Scientist I – Exploring Metrics of Consciousness in the Mouse We are seeking a Scientist to join a project dedicated to measuring consciousness in humans and animals, and establishing mechanistic underpinnings of consciousness. This is a collaboration between the laboratory of Prof. Giulio Tononi at the University of Wisconsin in Madison and scientists at the Allen Institute of Brain Science under Dr. Christof Koch, in the groups of Associate Investigators Anton Arkhipov and Shawn Olsen. The scientist in this position will focus on estimating consciousness in the mouse brain by applying the differentiation and integrated information metrics, developed by our collaborators, to cortical neuronal activity measured in awake mice using optical physiology and electrophysiology (Neuropixels) recordings at the Allen Institute. The scientist will also contribute to the analysis of perturbative experiments in mice, where electrical stimulation will be delivered via an extracellular electrode and cortical activity will be simultaneously recorded. Studying data from these experiments under various conditions of consciousness and non-consciousness (awake, sleep, anesthesia) and ultimately with perturbations (via pharmacology and/or optogenetics), we aim to elucidate the contributions of different parts of the brain to consciousness. The focus of this work is to extend and validate certain predictions from the Integrated Information Theory of Consciousness (IIT). JOB RESPONSIBILITIES: • Analyze optical physiology and electrophysiology recordings to measure differentiation and integrated information. • In collaboration with theoreticians and experimentalists in house and at other institutions, explore how various neuronal populations and circuit architectures may underlie the trends observed in physiological recordings. • Publish/present findings in peer-reviewed journals/scientific conferences. REQUIRED QUALIFCATIONS: • PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields. • Strong publication record • 0-2 years’ experience in computational science such as: neuroscience and/or systems neuroscience, computational physics, biophysics, and related disciplines. PREFERRED QUALIFICATIONS: • Strong background in scientific programming is a plus. • Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. Anton Arkhipov Associate Investigator antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> T: 206.548.8414 www.alleninstitute.org<http://www.alleninstitute.org>

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CNS*2019 Barcelona: Call for Workshop Proposals and Tutorials
by Sharon Crook 18 Dec '18

18 Dec '18

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA We request proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting or introduce novel methodology through a tutorial with only a few of the headaches of organizing it. We look forward to your submissions. CALL FOR WORKSHOPS (see below and also https://www.cnsorg.org/cns-2019-call-for-workshops) Martin Zopotocky, Workshop Organizer, CNS*2019 CALL FOR TUTORIALS (see below and also https://www.cnsorg.org/cns-2019-call-for-tutorials) Hermann Cuntz, Tutorial Organizer, CNS*2019 1. WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS*2019, BARCELONA Workshops, in which computationally related neuroscience topics can be presented, will take place during the last two days (July 16 and July 17 2019) of the 28th Annual Computational Neuroscience Meeting (https://www.cnsorg.org/cns-2019) For each workshop, usually several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. Please note that there is a change in the format of the meeting compared to previous years. The main meeting will conclude on July 16, with a keynote lecture and a poster session taking place in the afternoon. The morning of July 16 is reserved for workshops. A goal of this "mixed day" of the meeting is to facilitate an overlap of attendance. Participants who have registered for either the main meeting or the workshops will be allowed to attend all of the events on July 16 (workshops, keynote, poster session). The last day of the meeting, July 17, is reserved for workshops, as in the previous years (workshop registration will be required to attend). Accordingly, the possible duration of a workshop is anywhere from 0.5 days (one session lasting 3.5 hours) to 1.5 days (three half-day sessions). Half-day workshops will be preferentially scheduled for July 16. They will thus offer the opportunity to attract a wider audience still present for the main meeting. Submit workshop proposals to: workshops(a)cnsorg.org. The Past Meetings page (https://www.cnsorg.org/past-annual-meetings) gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * WORKSHOP TITLE * ORGANIZERS (list primary organizer first; include affiliations and emails) * WORKSHOP DURATION * NUMBER OF EXPECTED SPEAKERS * BRIEF DESCRIPTION (~150 words; if possible, say why this is significant or timely) * SPEAKERS (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * Each individual can be the organizer or co-organizer on only one workshop. * The number of confirmed speakers is a criterion for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. DEADLINE: Workshops submitted before January 31, 2019 will be given priority in acceptance. Workshop proposals arriving after January 31, 2019 will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after May 15, 2019. 2. TUTORIAL PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS*2019, BARCELONA Tutorials are intended as introductions into main methodologies of various fields in computational neuroscience. Tutorials are particularly tailored for early stage researchers as well as researchers entering a new field in computational neuroscience. The tutorials will be held on the first day of the meeting, July 13 2019, with a typical total attendance of approximately 100 attendees, allowing for four concurrent sessions during the day. Three different formats are available: * Introductory FULL DAY courses (incl. some reimbursement for the tutors) * Specialized HALF DAY tutorials (incl. some reimbursement for the tutors) * 30 MINUTES software showcase (no funding available) Submit tutorial proposals to: tutorials(a)cnsorg.org. Please compare with last year's tutorials at https://www.cnsorg.org/cns-2018-tutorials. Note that our new format, the showcases, will be combined into one continuous afternoon program. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * TUTORIAL TITLE * ORGANIZERS (list primary organizer first; include affiliations and emails) * FORMAT (full day, half day, showcase) * BRIEF DESCRIPTION (max. 300 words; include links to relevant software) DEADLINE: Tutorial proposals should be submitted before January 31, 2019. Registration: Workshop registration will occur through the OCNS registration web site for CNS*2019. All workshop participants, including speakers must register. Each workshop is eligible to receive registration waivers for 2 speakers. Travel awards: A limited number of Travel Awards will be available for organizers or speakers. Priority will be given to postdocs and early career faculty. Travel Award amounts will be variable, depending on distance traveled. Please indicate which speakers you would like to be considered for this mechanism but take into account that there likely will be fewer Travel Awards than workshops.

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PhD studentships available at the University of Sussex
by Anil Seth 18 Dec '18

18 Dec '18

Ph.D. Scholarships available at the University of Sussex: From sensation and perception to awareness. We are delighted to invite applications for the second round of the Leverhulme Doctoral Scholarship Programme in ‘From Sensation and Perception to Awareness’, hosted across multiple Schools at the University of Sussex. Up to eight fully funded positions will be awarded (for UK/EU applicants), starting Sep 2019. The aim of the programme is to bring together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. Applicants can select from a range of projects or propose their own. Pre-specified projects are divided into three main themes: (i) Human-computer interaction and digital arts, (ii) human cognitive neuroscience and computational neuroscience, and (iii) sensory neuroscience. For more details and for how to apply please see https://www.findaphd.com/search/PhdDetails.aspx?CAID=3783 and https://www.sussex.ac.uk/sensation/applications. For more on the Programme please visit https://www.sussex.ac.uk/sensation/, and follow us on Twitter @SensationSussex. Email enquries to Leverhulme(a)sussex.ac.uk<mailto:Leverhulme@sussex.ac.uk>. Application deadline is 31 January 2019. The programme is co-directed by Anil Seth (Engineering and Informatics) and Jamie Ward (Psychology). ------------------------------------------- Anil K. Seth, D.Phil. University of Sussex, UK Professor of Cognitive and Computational Neuroscience Co-Director, Sackler Centre for Consciousness Science Editor-in-Chief, Neuroscience of Consciousness Senior Fellow, Canadian Institute for Advanced Research Engagement Fellow, Wellcome Trust www.anilseth.com<http://www.anilseth.com>, www.neurobanter.com<http://www.neurobanter.com> @anilkseth

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Announcement of Spring School on Computational Cognitive Science, March 25th to 31st 2019 in Freiburg, Germany
by Jannis Born 18 Dec '18

18 Dec '18

We are excited to announce that registration is now open for our new, NENS-awarded spring school (“I²C²S³”, International Interdisciplinary Computational Cognitive Science Spring School). Its first iteration will take place in the period of March 25th – 31th, 2019 at the Bernstein Center Freiburg, Germany. This annual spring school is designed for researchers and students from all fields with an interest in computational approaches to the brain and cognitive sciences. We encourage all participants to present their own research in the format of a poster or a Blitz talk. Following a five-day educational program with a mixture of invited talks and instructive tutorials, the event will conclude with an optional two-day Hackathon. Attendees can receive one ECTS-point for their participation in the event. Registration is free, apart from a 20 Euro deposit. Master or PhD students currently residing outside of Germany are eligible to apply for one out of 4 stipends of 750 Euro (generously provided by FENS/IBRO-PERC) to cover the costs associated with their attendance. Registration will be closed on February 16th 2019 11:59pm. Preliminary list of speakers: * Radoslaw Martin Cichy (Free University Berlin, Department of Psychology and Education) * Frank Jäkel (Technische Universität Darmstadt, Centre for Cognitive Science) * Falk Lieder (MPI Intelligent Systems, Tübingen, Rationality Enhancement Group) * Timo Flesch (University of Oxford, Human Information Processing Lab) * Michael Tangermann (University of Freiburg, Brain State Decoding Lab) * Stefan Rotter (Bernstein Center Freiburg, Computational Neuroscience Lab) * Carsten Mehring (Bernstein Center Freiburg, Neurobiology and Neurotechnology) * Peggy Series (University of Edinburgh, Institute for Adaptive and Neural Computation) * Lilian Weber (ETH Zurich, Translational Neuromodeling Unit) For a preliminary program, please visit our webpage at http://iiccsss.eu/. Please do not hesitate to write us an email (info(a)iiccsss.eu) if you have any questions. Feel free to spread this announcement to your friends and colleagues. We look forward to seeing you @IICCSSS2019. Sincerely, The organization committee -- Jannis Born Maryna Kapitonova Jan Kirchner Lukas Vogelsang

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Announcing Okinawa/OIST Computational Neuroscience Course 2019
by Erik De Schutter 18 Dec '18

18 Dec '18

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2019 Methods, Neurons, Networks and Behaviors June 24 to July 11, 2019 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 24th through July 11th, 2019 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 2, 2019. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 16th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Claudia Clopath (Imperial College, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Wenbiao Gan (New York University, USA) • Geoff Goodhill (University of Queensland, Australia) • Jun Izawa (Tsukuba University, Japan) • Mike Hausser (University College London, UK) • Bernd Kuhn (OIST) • Eve Marder (Brandeis University, USA) • Peggy Series (University of Edinburgh, UK) • Greg Stephens (OIST) • Taro Toyoizumi (RIKEN BSI, Japan) • Yoko Yazaki-Sugiyama (OIST) • Yi Zeng (Chinese Academy of Sciences, China)

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Postdoctoral position(s) available in group of N. Kopell
by Nancy Kopell 17 Dec '18

17 Dec '18

A 2-year (extendable) postdoctoral fellow position in computational neuroscience is available at Boston University with Nancy Kopell. The successful candidate will build neural models capable of simulating neural dynamics underlying the oscillatory behavior involved in auditory cognition, particularly in relation to active sensing and speech processing. The goal of this work is to better elucidate cellular and network pathways in the brain that underlie auditory and visual cognition. There will be opportunities for interaction with a large community of experimental and computational neuroscientists via the Conte Center for Basic Neuroscience Research, a highly networked group that includes Boston University, Columbia University Medical Center, The Nathan S. Kline Institute for Psychiatric Research, Princeton University and UC Berkeley. The Conte Center contains members with expertise in vivo and in vitro physiology, fMRI, EcOG, data analysis, and dynamical systems modeling. In addition to the above opening, there may also be positions to work with Kopell and experimentalists on a modeling project involving interactions of pyramidal cells and multiple kinds of interneurons to form cognitively important cell assemblies. Applications for such positions are also welcome. Qualified candidates should have a strong mathematics or physics background, preferentially with experience in dynamical systems, as well as strong programming experience. Preference will be given to candidates with experience using detailed biophysical models. Experience with experimental neuroscience is also helpful. The deadline for applications is Feb 1, 2019. Interested candidates should email a CV, statement of research interests, three letters of recommendation, and if applicable, relevant publications to xiaoshi(a)bu.edu. Applications should include a listing of those sending letters of recommendation. Boston University is an equal opportunity employer.

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Columbia Workshop on Brain Circuits, Memory and Computation 2018
by Aurel A. Lazar 16 Dec '18

16 Dec '18

Columbia Workshop on Brain Circuits, Memory and Computation 2018 <http://www.bionet.ee.columbia.edu/workshops/bcmc/2018> BCMC 2018 March 15-16, 2018 Center for Neural Engineering and Computation <http://cnec.columbia.edu/> Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2018> is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Registration Registration is free but all participants have to register <https://bcmc2018.eventbrite.com/>. Thank you! Organizer and Program Chair Aurel A. Lazar <http://www.ee.columbia.edu/~aurel>, Department of Electrical Engineering, Columbia University. Program Overview (Confirmed Speakers) Misha B. Ahrens <https://www.janelia.org/lab/ahrens-lab>, Janelia Research Campus, Ashburn, VA. Davi Bock <https://www.janelia.org/lab/bock-lab>, Janelia Research Campus, Ashburn, VA. Claude Desplan <https://wp.nyu.edu/desplanlab/>, Department of Biology, New York University. Mark A. Frye <http://www.fryelab.net/>, Department of Integrative Biology and Physiology, University of California, Los Angeles. C. Giovanni Galizia <http://neuro.uni-konstanz.de/03team/content/galizia.html>, Department of Biology, University of Konstanz. Maria N. Geffen <https://geffenlab.weebly.com/maria.html>, Department of Otorhinolaryngology and Department of Neuroscience, University of Pennsylvania. Hokto Kazama <http://kazama.brain.riken.jp/index.php>, Riken Brain Science Institute, Tokyo. Donggen Luo <http://mgv.pku.edu.cn/?co=posts&ac=faculty&catalog=enpiintro&pname=en_Dongg…>, McGovern Institute for Brain Research, Peking University, Beijing. Thomas Nowotny <http://www.sussex.ac.uk/profiles/206151>, Department of Informatics, University of Sussex. Pavan Ramdya <https://ramdya-lab.epfl.ch/home>, Brain Mind Institute, EPFL, Lausanne. Aravinthan D.T. Samuel <https://scholar.harvard.edu/aravisamuel/home>, Department of Physics and center for Brain Science, Harvard University. Simon G. Sprecher <http://www.sprecherlab.com/simon-sprecher/>, Department of Biology, University of Fribourg. Seth Tomchik <http://www.scripps.edu/tomchik/>, The Scripps Research Institute Florida. Joshua T. Vogelstein <http://jovo.me/>, Dept. of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University. Scott Waddell <https://www.dpag.ox.ac.uk/research/waddell-group>, Department of Physiology, Anatomy and Genetics, University of Oxford. Anthony M. Zador <http://zadorlab.cshl.edu/>, Cold Spring Harbor Laboratory. Aurel http://www.bionet.ee.columbia.edu

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New method for single-trial electrophysiology analysis
by Rapela, Joaquin 15 Dec '18

15 Dec '18

Hello, We have recently published an article reporting a new method to study temporal expectation on single trials of the EEG (Rapela et al., 2018). Using this method (in an audio-visual attention-shifting oddball task) we discovered a new behaviorally-relevant effect of temporal expectation on the single-trial phase coherence of the EEG. I am interested in checking if this effect can be observed in other experiments. Thus, I would like to collaborate with, or help to, a scientist that is interested in studying with our method single-trial effects of temporal expectation on his/her electrophysiological recordings (EEG, MEG, ECoG, MEA, single units, etc). If this could interest you, please email me at joaquin_rapela(a)brown.edu. Our article appears in Neural Computation and a preprint of it can be found on my web page https://sccn.ucsd.edu/~rapela/pub.htm Code implementing our method appears in https://github.com/joacorapela/singleTrialEEGPredictions Joaquín Rapela, Marissa Westerfield, Jeanne Townsend (2018a). A new foreperiod effect on single-trial phase coherence. Part I: existence and relevance. Neural Computation 30(9): 2348-83. Abstract This letter makes scientific and methodological contributions. Scientifically, it demonstrates a new and behaviorally relevant effect of temporal expectation on the phase coherence of the electroencephalogram (EEG). Methodologically, it introduces novel methods to characterize EEG recordings at the single-trial level. Expecting events in time can lead to more efficient behavior. A remarkable finding in the study of temporal expectation is the foreperiod effect on reaction time, that is, the influence on reaction time of the delay between a warning signal and a succeeding imperative stimulus to which subjects are instructed to respond as quickly as possible. Here we study a new foreperiod effect in an audiovisual attention-shifting oddball task in which attention-shift cues directed the attention of subjects to impendent deviant stimuli of a given modality and therefore acted as warning signals for these deviants. Standard stimuli, to which subjects did not respond, were interspersed between warning signals and deviants. We hypothesized that foreperiod durations modulated intertrial phase coherence (ITPC, the degree of phase alignment across multiple trials) evoked by behaviorally irrelevant standards and that these modulations are behaviorally meaningful. Using averaged data, we first observed that ITPC evoked by standards closer to the warning signal was significantly different from that evoked by standards further away from it, establishing a new foreperiod effect on ITPC evoked by standards. We call this effect the standard foreperiod (SFP) effect on ITPC. We reasoned that if the SFP influences ITPC evoked by standards, it should be possible to decode the former from the latter on a trial-by-trial basis. We were able to do so showing that this effect can be observed in single trials. We demonstrated the behavioral relevance of the SFP effect on ITPC by showing significant correlations between its strength and subjects' behavioral performance. Cordially, Joaquin

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Paid Internship in Systems Neuroscience -- Memory Consolidation (joint project between MIT and FAU)
by Carmen Varela 15 Dec '18

15 Dec '18

*Joint research project between MIT and FAU* Spend the Spring semester (2019) visiting two booming neuroscience hubs: Jupiter, Florida and Boston, Massachusetts We are looking for a talented student that will apply analytical techniques to study the dynamics of cellular interactions that underlie the consolidation of memory during sleep. The project will involve the analysis of neural data (single cells, local field potentials) recorded from multiple brain areas (neocortex, thalamus, hippocampus) in sleeping rodents. The project is a collaboration between the laboratories of Drs. Carmen Varela (Florida Atlantic University, FAU) and Matthew Wilson (Massachusetts Institute of Technology, MIT). *Requirements:* Outstanding interpersonal and communication skills, demonstrated initiative and dedication, ability to learn fast. Strong analytical skills, including signal processing and programming. Majors in EECS, Physics and Neuroscience are encouraged to apply. *What you get: * · A paid semester of research (with possibility of extension) in systems neuroscience, including the application of analytical skills to electrophysiology data. · Learn about neuroscience opportunities in two thriving environments, MIT and FAU: the Jupiter campus of FAU is a rapidly growing neuroscience hub that also holds our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. Gain additional direct insight into MIT’s established programs and laboratories. · Possibility of presenting results from your work at a neuroscience conference. *Contact:* Submit resume and a brief paragraph commenting on how your skills and background could be helpful to this neuroscience project. Let Dr. Carmen Varela know when you would be available for an interview. carmenv(a)mit.edu https://www.thethalamus.org/

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Open Post Doc Position on Bayesian Computational Modelling for multimodal social interaction
by Dimitri Ognibene 14 Dec '18

14 Dec '18

[Apologies for cross-posting] Dear Colleagues, I would be grateful if you could help me spreading the word about this position in the Essex Brain-Computer Interface and Neural Engineering (BCI-NE) Laboratory that I recently joined. Thank you very much, Dimitri We are looking for a Post Doctoral Research Associate to collaborate at the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction taking into account the role of human chemosignals perception. This will involve also the development of robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals, as well as the design and implementation of software for the execution of experiments with adaptive VR stimulation. Application closing date 02/01/2019 Application Links https://www.jobs.ac.uk/job/BOO174/senior-research-officer <https://www.jobs.ac.uk/job/BOO174/senior-research-officer> https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> Job reference REQ02121 Job Details The School of Computer Science and Electronic Engineering, the Department of Psychology, and the Essex Brain-Computer Interfaces and Neural Engineering Lab are pleased to announce this postdoctoral position in the Horizon 2020 project "POTION: Promoting social interaction through emotional body odours”. The project will last five years and start in January 2019 and includes partners from the Universities of Pisa (Italy), Padova (Italy), and Essex (UK), the Universitat Politecnica De Valencia (Spain), the Katholieke Universiteit Leuven (Belgium), and the Karolinska Institutet (Sweden), and three companies ISPA CRL (Portougal), SRA Instruments (France) and Feel-Ing s.r.l. (Italy). POTION proposes a novel technological paradigm to delve deeper into understanding meaningful social interaction, combining new knowledge about the chemical composition of human social chemosignals together with a novel olfactory-based technology designed to drive social behaviour. Duties of the Role The Essex team's work on the project focuses on the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction. This models will be applied to evaluate socially relevant variables, such as trust, presence and inclusion as well as to generate optimal stimuli in artificially mediated social interactions. In particular, the models will cover the role of human chemosignal perception in social interactions. The models will be identified and tested using neurophysiological data (e.g. EEG), peripheral physiological activation (i.e., ECG, RESP, EDA) and behavioural changes (i.e., f-EMG) collected using VR scenarios of increasing complexity. The successful applicant will research and develop Bayesian (DCM and Active Inference) computational models of multimodal social interaction with an emphasis on the role of human chemosignals. They will also develop robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals, design and implement software for the execution of experiments with VR stimulation, and contribute to the reporting and dissemination of the project. Skills and qualifications required Applicants are expected to hold a PhD (or be close to completion) in Computational Neuroscience, Brain-computer Interfaces, Neural Engineering, Psychology, Machine Learning, Statistics, Physics, Mathematics, Computer Science or a closely related discipline, or equivalent professional experience or practice. The ideal candidate will have significant experience in computational modelling of social interaction, signal processing, statistical modelling of neural signals and processes, brain-computer interfaces, and virtual reality interfaces. Applicants are also expected to have a strong publication record (relative to their career stage) as first author, ideally including publications in 1st quartile journals in relevant areas. We strongly encourage women to apply as they are currently under-represented in the School of Computer Science and Electronic Engineering. At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place. Who we are University of Essex has just been awarded the prestigious title of "University of the Year" by the Times Higher Education for "transforming the lives of a growing student body” and " putting both staff and students first" The School of Computer Science and Electronic Engineering (CSEE) at the University of Essex has an outstanding reputation for teaching and high-quality research in artificial intelligence, biomedical engineering, brain-computer interfaces, computer games, evolutionary computation, human language technology, robotics, networks and optoelectronics. Particularly relevant to this application is our research in artificial intelligence and in life and medical sciences applications, which was judged as world-leading in the recent Research Excellence Framework, the system for assessing the quality of research in UK higher education institutions. An important centre spanning both areas is the Essex Brain-Computer Interface and Neural Engineering (BCI-NE) Laboratory. The BCI lab was founded in 2004 by Dr Citi among others, and is one of the largest and best equipped in Europe. For over a decade, it has produced highly visible internationally leading research, with international collaborators at MIT, Berkley, the European Space Agency, and many others. Our members have led high-profile externally funded projects in the area of Assisted Living Technologies. Since 2007 our research has featured prominently in the UK’s Department of Health’s annual report on research and development work relating to assistive technology, e.g. see the 2012 report, which was presented to parliament. The successful applicant will work in collaboration with the Department of Psychology at the University of Essex. This department was ranked 13th out of more than 100 in the UK in the most recent Research Excellence Framework (REF 2014 <http://www.essex.ac.uk/research/ref>), with 90% of our research rated as world-leading or internationally excellent. Academic staff in the department have wide-ranging and world-leading expertise in vision, cognition, cognitive neuroscience, health and social psychology. Students and staff make use of facilities in the Centre for Brain Science, a purpose-built facility dedicated to research and with considerable resources for understanding brain and behaviour. The research facilities are located on our Colchester Campus, which is set within 200 acres of beautiful parkland <https://www.essex.ac.uk/about/wivenhoe-park>, located two miles from the historic town centre of Colchester <https://www.essex.ac.uk/life/colchester-campus/local-area> – England's oldest recorded town. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour. Home to over 13,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place. Colchester has a relatively low cost of living, while being well connected to London, the coast, and areas of natural beauty in East Anglia. Please see the link below for a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (+44 1206 876559 <tel:+44%201206%20876559>). Feel free to contact us (Dr Citi, (CSEE) lciti(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 Foulsham (PSYCH) foulsham(a)essex.ac.uk) for an informal discussion about this post. Job reference REQ02121 Application closing date02/01/2019 Application Links https://www.jobs.ac.uk/job/BOO174/senior-research-officer <https://www.jobs.ac.uk/job/BOO174/senior-research-officer> https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene

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Postdoc position in Geometric Methods for Machine Learning and Deep Learning at RIST
by Luigi Malagò 14 Dec '18

14 Dec '18

=========================================================== *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

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PhD position - Inverse Reinforcement Learning
by Constantin Rothkopf 14 Dec '18

14 Dec '18

The Centre for Cognitive Science at Technische Universität Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e., under real world noisy conditions. The research project is a joint venture between the Bioinspired Communication Lab and the Psychology of Information Processing Lab, both members of the Centre of Cognitive Science at TU Darmstadt. Accordingly, the student will be advised by Prof. Heinz Koeppl, Department of Electrical Engineering and Prof. Constantin Rothkopf, Department of Psychology. Work will involve methodological research in machine learning, design of dedicated human behavioral experiments, and the analysis and further processing of gathered data. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany’s leading universities in the domain of computer science and engineering. The student will be embedded in the ongoing research activities within the Centre for Cognitive Science and will hence have the opportunity to interact with many other cognitive science researchers. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have a M.Sc. degree in one of the following fields: computer science, physics, mathematics, engineering, or cognitive science. Candidates are required to have a sincere interest in interdisciplinary research at the crossroad of psychology and computer science. Application Technische Universität Darmstadt is striving to increase the proportion of women in its staff and therefore particularly invites women to apply. Applicants with a degree of disability of at least 50% or equivalent are preferred in the case of equal aptitude. Part-time employment is generally possible. We look forward to receiving your application, consisting of a cover letter in which you rationalize your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Your application package should be sent as a single PDF file to application(a)bcs.tu-darmstadt.de

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"The Spike": the key stories about neuroscience, from neuroscientists
by Mark Humphries 13 Dec '18

13 Dec '18

If you're interested in keeping up with the cutting edge of neuroscience, you might like to know about The Spike: https://medium.com/the-spike [https://cdn-images-1.medium.com/max/1200/1*H6cV11b9xeYl-Q8ybx7Rmg.png]<https://medium.com/the-spike> The Spike – Medium<https://medium.com/the-spike> medium.com The science of the brain, from the scientists of the brain. The Spike's mission is to convey the triumphs, tragedies and challenges of systems and computational neuroscience to a broad audience; while keeping you, the reader, entertained along the way. Founded in 2016, we publish stories from a diverse array of writers. Our >400 unique visitors each day reflect a diverse readership from across AI, machine learning, psychology, psychiatry, neurology, clinical neurosciences, and beyond. And, of course, the public! Popular recent stories include: "Why you should (or shouldn't) get a PhD in Neuroscience" by Ashley Juavinett: <https://medium.com/the-spike/preparing-for-a-neuroscience-phd-6a0bb4ee5275?…> https://medium.com/the-spike/why-you-should-or-shouldnt-get-a-phd-in-neuros… [https://cdn-images-1.medium.com/max/1200/1*X-GdSTSuz569RsB95GxGbA.jpeg]<https://medium.com/the-spike/why-you-should-or-shouldnt-get-a-phd-in-neuros…> Why you should (or shouldn’t) get a PhD in Neuroscience<https://medium.com/the-spike/why-you-should-or-shouldnt-get-a-phd-in-neuros…> medium.com A few good reasons why you should get a neuroscience PhD You’ll open doors to different careers, and higher (paying) positions. There are certain jobs that require a PhD. "Brains as Analog Computers" by Corey Maley: https://medium.com/the-spike/brains-as-analog-computers-fa297021f935 [https://cdn-images-1.medium.com/max/1200/1*J3tX8SxApeRHo7HwNBv19A.png]<https://medium.com/the-spike/brains-as-analog-computers-fa297021f935> Brains as Analog Computers – The Spike – Medium<https://medium.com/the-spike/brains-as-analog-computers-fa297021f935> medium.com Algorithms. One idea, explored in a previous blog post in this very forum, is that the brain is a computer because what it does can be described in terms of algorithms.Unfortunately, this view has ... "A not entirely serious future history of neuroscience" by me: https://medium.com/the-spike/a-not-entirely-serious-future-history-of-neuro… [https://cdn-images-1.medium.com/max/1200/1*jvbMd-eEkRfqmzkN6wMkwQ.jpeg]<https://medium.com/the-spike/a-not-entirely-serious-future-history-of-neuro…> A not entirely serious future history of neuroscience - Medium<https://medium.com/the-spike/a-not-entirely-serious-future-history-of-neuro…> medium.com Author’s note: resting for a moment in a dark corner of the Society for Neuroscience conference’s poster hall, on the quiet solitude of the Wednesday afternoon in the History of Neuroscience ... How to keep up to date with The Spike: Bookmark the homepage Follow us on Medium Follow us on Twitter @markdhumphries Happy reading, Prof Mark Humphries <https://medium.com/the-spike> 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.

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Postdoctoral Position in the Epilepsy, Cognition, and Development Laboratory (ECDL)
by Pulkit Grover 13 Dec '18

13 Dec '18

Dear all, Please see an exciting opportunity for a machine-learning postdoc position in an impactful and influential lab in University of Pittsburgh. Posting on behalf of Dr. Taylor Abel from University of Pittsburgh pediatrics neurosurgery. Best, Pulkit *Postdoctoral Position in the Epilepsy, Cognition, and Development Laboratory (ECDL) * We are seeking a full-time postdoctoral researcher to work on a project that seeks to understand the neurophysiologic mechanisms underlying visual recognition and how these mechanisms emerge in human development. A background in machine learning analysis is ideal. A background in electrophysiology and behavioral methods is desirable. The project will involve collection and analysis of human brain recordings in epilepsy surgery patients, so candidates would ideally be comfortable working in a clinical environment. The ideal start date is Feb 2019, but application review will continue until the positions are filled. The position is initially for at least 12 months with the possibility of renewal. Compensation will be competitive, and commensurate with relevant experience. University of Pittsburgh has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. The ECDL is based at the Children’s Hospital of Pittsburgh. There is close collaboration with Marlene Behrmann, Avniel Ghuman, and Pulkit Grover through the Center for the Neural Basis of Cognition. Please send your CV to and provide 3 email addresses for reference to Dr. Taylor Abel abeltj(a)upmc.edu.

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Research associate / Postdoc for computational neuroscience - TU Dresden
by Dimitrije Markovic 13 Dec '18

13 Dec '18

The Chair of Neuroimaging<https://tu-dresden.de/mn/psychologie/ifap/ni?set_language=en> at TU Dresden, Germany is offering a postdoc position. The position is funded by the Excellence Cluster "Tactile Internet with Human-in-the-Loop" (CeTI), https://www.ceti.one/. The position is available for three years initially but can be extended. CeTI-position_Kiebel_1 - Research associate / Postdoc for computational neuroscience Topic: Computational modelling of sequences of goal-directed actions and multisensory integration Tasks: This position will develop computational models how humans integrate multisensory sensory input while performing sequences of goal-directed actions. We will be using Bayesian inference techniques in combination with nonlinear dynamic systems to model the perception of observed human movements and the inference of intent. This position is embedded in the newly funded research excellence cluster 'Tactile Internet with Human-in-the-Loop (CeTI<https://www.ceti.one/>)' and will work alongside cognitive neuroscientists, roboticists, psychologists, engineers and computer scientists. In collaboration with experimenters, the candidate will use the developed models to experimentally test predictions about how humans use multisensory information during goal-reaching. Requirements: We are looking for a candidate with a PhD degree in computational neuroscience, physics, maths, robotics, computer science, or related fields, ideally with expertise in computational models of human behaviour. Additional expertise in Bayesian inference, EEG, eye tracking analysis, or multisensory integration is a plus. The excellence cluster CeTI and TU Dresden provide an outstanding scientific infrastructure and ideal environment for interdisciplinary collaboration. For computational work, the group has access to the TU Dresden high-performance computing clusters. Experiments by collaborators will be performed at the Neuroimaging Centre Dresden (http://www.nic-tud.de) All computing and experimental facilities are supported by experienced physics and IT staff. For questions about this position please contact Prof. Stefan Kiebel (stefan.kiebel(a)tu-dresden.de<mailto:stefan.kiebel@tu-dresden.de>). How To Apply: [X] Please submit your comprehensive application including the usual documentation (CV, cover letter including a brief summary of research interests, and two references), by January 18th, 2019 (stamped arrival date of the university central mail service applies) with the reference "CeTI-position_Kiebel_1" in the subject header preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de<https://securemail.tu-dresden.de/> or S/MIME encrypted by sending it as a pdf document to positions(a)ceti.tu-dresden.de<mailto:positions@ceti.tu-dresden.de> and stefan.kiebel(a)tu-dresden.de<mailto:stefan.kiebel@tu-dresden.de> or by mail to: TU Dresden, Sprecher des Exzellenzclusters CeTI, Herrn Prof. Frank H. P. Fitzek, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only as your application documents will not be returned. We look forward to your applications! The CeTI Team

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Tenure-Track Position in Systems Neuroscience - University of Ottawa
by John Lewis 12 Dec '18

12 Dec '18

Tenure-Track Position in Systems Neuroscience The Department of Biology at the University of Ottawa (Canada) is hiring a tenure-track assistant professor in systems neuroscience. We are particularly interested in candidates who combine experimental and computational approaches to study the neural mechanisms of animal behaviour. Application deadline is January 30, 2019 For details, please see https://www.uottawa.ca/vice-president-academic/faculty-relations/faculty-re… (under the Faculty of Science, Department of Biology tab) Specific questions can be directed to john.lewis(a)uottawa.ca<mailto:john.lewis@uottawa.ca>

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Stanford University Postdoctoral Fellowship
by Christina Atkinson 12 Dec '18

12 Dec '18

Stanford University’s Department of Psychiatry & Behavioral Sciences is seeking to hire full time post-doctoral fellows for their Cognitive & Systems Neuroscience Laboratory. This lab is headed by Dr. Vinod Menon who has broad multidisciplinary expertise that spans several scientific disciplines and has published extensively on various aspects of human cognition and brain function. Explore our lab website for more information: http://med.stanford.edu/scsnl.html Please distribute job posting (below) appropriately in your department. We thank you for your support. POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS Currently Available: The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in computational modeling of human brain imaging data using deep neural networks. The successful candidate will be involved in a multidisciplinary project that seeks to develop novel computational frameworks for robust identification of neurobiological signatures of psychiatric and neurological disorders combining deep learning and convolution networks and dynamic brain circuit analyses with task and resting-state fMRI. Clinical disorders currently under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, schizophrenia, and Parkinson’s disease. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: deep learning algorithms and optimization (theory and practical implementations); computational modeling, statistical inference, and machine learning, especially as applied to fMRI and MRI data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPGPUs. Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com>

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EPFL Neuro Faculty Positions - deadline 14th December 2018
by Petersen Carl 11 Dec '18

11 Dec '18

Dear Colleague, The Ecole Polytechnique Federale de Lausanne (EPFL) has launched a new neuroscience initiative and as part of this initiative we are in the process of hiring three new professors in the field of neuroscience and engineering. The search is broad and we are interested in all aspects of neuroscience. We are hiring at the Assistant Tenure Track level, as well as the Associate Tenured level. https://professeurs.epfl.ch/page-158407-en.html NeuroSearch(a)epfl.ch If you are interested. then please apply for these faculty positions before 14th December 2018. Woman are particularly encouraged to apply. Thank you for your time and help. Best wishes, Carl. ------------------------------------------ Prof. Carl Petersen, Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. email: carl.petersen(a)epfl.ch www: http://lsens.epfl.ch/

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CFP: TAC | Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data
by Pablo Barros 11 Dec '18

11 Dec '18

2nd CALL FOR PAPERS IEEE Transactions on Affective Computing Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data Website: https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/tacSpecialIssue201… I. Aim and Scope Research trends within artificial intelligence and cognitive sciences are still heavily based on computational models that attempt to imitate human perception in various behavior categorization tasks. However, most of the research in the field focuses on instantaneous categorization and interpretation of human affect, such as the inference of six basic emotions from face images, and/or affective dimensions (valence-arousal), stress and engagement from multi-modal (e.g., video, audio, and autonomic physiology) data. This diverges from the developmental aspect of emotional behavior perception and learning, where human behavior and expressions of affect evolve and change over time. Moreover, these changes are present not only in the temporal domain but also within different populations and more importantly, within each individual. This calls for a new perspective when designing computational models for analysis and interpretation of human affective behaviors: the computational models that can timely and efficiently adapt to different contexts and individuals over time, and also incorporate existing neurophysiological and psychological findings (prior knowledge). Thus, the long-term goal is to create life-long personalized learning and inference systems for analysis and perception of human affective behaviors. Such systems would benefit from long-term contextual information (including demographic and social aspects) as well as individual characteristics. This, in turn, would allow building intelligent agents (such as mobile and robot technologies) capable of adapting their behavior in a continuous and on-line manner to the target contexts and individuals. This special issue aims at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimation of human affective behavior from longitudinal behavioral data, i.e., single or multiple modalities captured over extended periods of time allowing efficient profiling of target behaviors and their inference in terms of affect and other socio-cognitive dimensions. We invite contributions focusing on both the theoretical and modeling perspective, as well as applications ranging from human-human, human-computer and human-robot interactions. II. Potential Topics Given computational models, the capability to perceive and understand emotion behavior is an important and popular research topic. That is why recent special issues on the IEEE Journal on Transactions on Affective Computing covered topics from emotion behavior analysis “in-the-wild” to personality analysis. However, most of the research published by these specific calls treat emotion behavior as an instantaneous event, relating mostly to emotion recognition, and thus neglect the development of complex emotion behavior models. Our special issue will foster the development of the field by focusing excellent research on emotion models for long-term behavior analysis. The topics of interest for this special issue include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Lifelong affect analysis, perception, and interpretation - Novel neural network models for affective processing - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition III. Submission Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Affective Computing guidelines ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369) Please submit your papers through the online system ( https://mc.manuscriptcentral.com/taffc-cs) and be sure to select the special issue: Special Issue/Section on Automated Perception of Human Affect from Longitudinal Behavioral Data. IV. IMPORTANT DATES: Submissions Deadline: 15th of January 2019 Deadline for reviews and response to authors: 06th of April 2019 Camera-ready deadline: 05th of August 2019 V. Guest Editors Pablo Barros, University of Hamburg, Germany Stefan Wermter, University of Hamburg, Germany Ognjen (Oggi) Rudovic, Massachusetts Institute of Technology, United States of America Hatice Gunes, University of Cambridge, United Kingdom -- Dr. 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.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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International Student Fellowship at the PhD level in Computational Neuroscience
by Vinita Samarasinghe 11 Dec '18

11 Dec '18

Prof. Sen Cheng, Institute for Neural Computation at the *Ruhr University Bochum* in Germany, invites applicants for an International Student Fellowship to be awarded through the international research training group “Integration and Representation of Sensory Processes” (SFB 874). After successful completion of this 4 month fellowship, the student might be offered a PhD position for a further 3 years. The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is part of the project "Theory of the interplay between sensory cortices and hippocampus in memory formation and retrieval", which is funded by the German Research Foundation as part of the collaborative research center SFB 874. The appointment will be initially from 01.03.2019-30.06.2019. Candidates should have an excellent university degree in neuroscience, physics, mathematics, engineering or a related field and be eligible to enroll in a relevant PhD program at the Ruhr University. Competence in mathematical modeling and excellent programming skillsare mandatory. Familiarity with computational neuroscience or computational cognitive modeling would be a further asset. Only candidates who have not previously lived in Germany will be considered. For further information regarding the IRTG fellowship please visit https://www.ruhr-uni-bochum.de/sfb874/integrated_research_training_group/fe… The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. For further information see www.rub.de/cns <http://www.rub.de/cns>. To apply please send a statement of your motivation and research interests, academic transcripts, and a complete CV to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The deadline for applications is 15.01.2019. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Mon. - Fri. 8-11

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