March 2019 - Comp-neuro - lists.cnsorg.org

Creating a list of important computational predictions
by Yiota Poirazi Jan. 4, 2021

Jan. 4, 2021

Dear all, I believe you would agree that, the greatest recognition of our computational work comes with the experimental verification of our computational predictions. To highlight the most important outcomes of our theoretical work and facilitate a closer interaction with experimental labs so as to increase the chances of our predictions being experimentally tested, I would like to encourage you to nominate your favorite prediction at the following google form: https://docs.google.com/forms/d/e/1FAIpQLSeJZ2RrXJ0nZonIuyNzN0Cl gXDKDb7xTzoJOiqZTGxm9Kh7ow/viewform?c=0&w=1&usp=mail_form_link This effort started during the CNS 2017 meeting in Antwerp with the support of the OCNS Board. The resulting list will be posted on the CNS 2017 web site and disseminated in social media, as a reference for experimentalists. Thank you very much for supporting this important effort! Best wishes, Yiota Poirazi -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/> -- This message has been scanned for viruses and dangerous content by *E.F.A. Project* <http://www.efa-project.org>, and is believed to be clean. Click here to report this message as spam. <http://mailgate1.imbb.forth.gr/cgi-bin/learn-msg.cgi?id=4BCD7A00A1.A57D7&to…> -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/>

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[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems
by Pierre-Yves Oudeyer Jan. 23, 2020

Jan. 23, 2020

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

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Postdoc positions on Consciousness Research at Monash Uni, Australia
by Naotsugu Tsuchiya Jan. 13, 2020

Jan. 13, 2020

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

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Professorship in Artificial Intelligence
by Steuber, Volker May 8, 2019

May 8, 2019

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.

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7th Baltic-Nordic School on Neuroinformatics BNNI 2019, August, Frankfurt Germany
by Martin Mittag May 6, 2019

May 6, 2019

*7th Baltic-Nordic School on Neuroinformatics BNNI 2019* *Modeling Healthy and Diseased Brain: From Dendrites to Neurons and Networks*** *Frankfurt am Main, Germany* *26-28 August 2019* ** *We invite* Advanced master students, doctoral students, and postdoctoral researchers are welcome to participate in the BNNI 2019 to be held at the FIAS, the Frankfurt Institute for Advanced Studies, Frankfurt Main, Germany in August 2019. *The Course* The course is interdisciplinary and covers modeling at different levels of organization of the brain, from single neurons to microcircuits and networks. We will focus on differences between healthy and diseased brains. Participants will learn about compartmental and morphological modeling of synapses, dendrites and neurons, as well as simulating local field potentials (LFPs). The course combines lectures, tutorials and computer exercises. This summer school is the seventh in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland; BNNI 2017 in Kaunas, Lithuania; BNNI 2018 in Ventspils, Latvia). *Target audience* The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. We will use the NEURON simulation environment for biophysical realistic models of neurons and the Matlab software package including the TREES toolbox. Desktop computers will be provided for the exercise part. *Important Dates* * 15 May 2019*: Application deadline * 1 June 2019:* Acceptance notification *26 - 28 August 2019:* School *Venue* The lectures will be held on 26th to 28th of August, 2019, at the: Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Germany. Frankfurt is a very international city in the heart of Germany and Europe. The city centre combines the historic, medieval past with the modern, economic present. We are looking forward to welcoming you in Frankfurt! *More information and applications at* _web.lsmuni.lt/bnni2019/en <http://web.lsmuni.lt/bnni2019/en>_ *Practical arrangements* The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses. There is a small fee to be paid (30 - 100 EUR). If you are not sure whether you can afford it, apply anyway. We have some stipends for members of OCNS (www.cnsorg.org) to give away. Student residence is provided and close to the campus in the Relexa hotel. *Faculty includes* Marja-Leena Linne, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland Bruce Graham, Institute of Mathematics and Informatics, University of Stirling, UK Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Arnd Roth, Wolfson Institute of Biomedical Research, University College London, UK Misha Tsodyks, Department of Neurobiology, Weizmann Institute of Science, Israel Dieter Jäger, Biology Department, Emory University, Atlanta, USA Gaute Einevoll, Norwegian University of Life Sciences & University of Oslo, Norway Matthew Larkum, Neurocure Cluster of Excellence, Humboldt University, Berlin, Germany Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Hermann Cuntz, ESI & FIAS, Frankfurt, Germany Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Gilles Laurent, MPI for Brain Research, Frankfurt, Germany Jochen Triesch, FIAS, Frankfurt, Germany Tatjana Tchumatchenko, MPI for Brain Research, Frankfurt, Germany Julijana Gjorgjieva, MPI for Brain Research, Frankfurt, Germany Arvind Kumar, KTH Royal Institute of Technology, Stockholm, Sweden Aiste Pranckeviciene, Lithuanian University of Health Sciences, Kaunas, Lithuania Viola Priesemann, MPI Göttingen, Germany Matthias Kaschube, FIAS, Frankfurt, Germany *Organizing committee* **** **Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Marja-Leena Linne, Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland Jochen Triesch, FIAS, Frankfurt, Germany * We are looking forward to welcoming you at the BNNI 2019 in Frankfurt am Main, Germany!*

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NeuroBridges 2019 School Announcement
by Ahmed El Hady May 1, 2019

May 1, 2019

*/NeuroBridges 2019 Summer school , Cluny, France/* */( September 8th - September 19th, 2019)/* I would like to bring to your attention the *NeuroBridges 2019 Computational Neuroscience School*. <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. This year the school will primarily focus on the neural basis and computational principles underlying sensory- motor tasks, in which the agent chooses from a small number of actions based on sensory and operant cues. *The forthcoming NeuroBridges 2019* will be a ten-day summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Through the online application system, you will be asked to provide personal details, academic background, a motivation letter that should include a paragraph about your quantitative skills and a CV. In addition, we request two recommendation letters. The school will take place between *September 8 and September 19, 2019* in Le Centre de Conferences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home> (Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home>(Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> (CNRS, Paris, France). Review of applications will end in May 2019. *2019 Faculty:* Merav Ahissar (Hebrew U.) <https://elsc.huji.ac.il/index.php?q=ahissar/home> Athena Akrami (UCL) <https://elsc.huji.ac.il/index.php?q=ahissar/home> Rafal Bogacz (Oxford) <https://www.ndcn.ox.ac.uk/team/rafal-bogacz> Thomas Boraud (CNRS) <http://www.inb.u-bordeaux2.fr/dev/EN/researcher.php?researcher=Thomas+Borau…> Mathew Diamond (SISSA) <https://phdcns.sissa.it/faculty/mathew-diamond> Ido Erev (Technion) <https://web.iem.technion.ac.il/en/people/userprofile/erev.html> Mehdi Khamassi (CNRS) <https://www.researchgate.net/profile/Mehdi_Khamassi> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> The deadline for application is *April 30th, 2019 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2019.html <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> For more information, please contactneurobridges2019(a)gmail.com <mailto:neurobridges2018@gmail.com>.

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Registration open for the UK Neural Computation 2019 meeting
by Mark Humphries April 29, 2019

April 29, 2019

We are delighted to announce that registration is open for the UK Neural Computation 2019 meeting! The main meeting will be 2nd-3rd July 2019, at the University of Nottingham. Invited speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Please register here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/registration Deadline: June 21st 2019 We are offering a limited number of registrations (25) for early-career researcher workshops preceding the meeting, on Monday July 1st. Please see the Programme for full details at https://drmdhumphries.wixsite.com/ukneuralcomp2019 Abstract submission is still open here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/abstracts Abstract submission closes: May 10th Decisions: May 24th Kind regards Mark Humphries (Chair) Hannes Saal, Robert Schmidt, and Stuart Wilson (Organising committee) 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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Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2019
by Kerstin Schwarzwaelder April 11, 2019

April 11, 2019

Dear colleagues, It's our pleasure to inform you that for the ninth time, the Bernstein Network<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2018 or 2019. The award is endowed with a travel grant of 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2019 in Berlin (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 24, 2019, 2:00 p.m. CET (Application deadline will not be extended!) Detailed information about the application procedure can be found under: https://www.bernstein-network.de/en/the-network/awards/b4b2019 For inquiries please contact bernstein.network(a)fz-juelich.de<mailto:bernstein.network@fz-juelich.de> 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc position in computational neuroscience at the Gatsby Unit
by Peter Latham April 5, 2019

April 5, 2019

The Gatsby Computational Neuroscience Unit, a world-class centre for theoretical neuroscience and machine learning, invites applications for one or more postdoctoral training fellowships in theoretical neuroscience. We are looking especially for someone with an interest and/or background in synaptic plasticity and learning. Candidates should have a very strong analytical background in physics, mathematics, statistics, or machine learning, with an emphasis on the use of Bayesian methods in neuroscience, a detailed knowledge and understanding of the literature, and a publication record in highly ranked conferences and journals. Candidates must also have a PhD in a relevant subject area by the agreed start date of the position. Training fellowships are funded by the Wellcome Trust, and are part of a continuing program of training postdoctoral researchers. The position is available for an initial period of two years, and may be renewed to a maximum of three years. To apply, go to http://www.gatsby.ucl.ac.uk/vacancies/index.html and click on Research Fellow (Training Fellowship in Theoretical Neuroscience or Machine Learning) Please be sure to attach to your online application a copy of your CV, statement of research interests, and full contact details (including e-mail addresses) of three academic referees. CVs should include education history, details of current or most recent position, and details of previous employment or fellowships. For further details of our research, go to http://www.gatsby.ucl.ac.uk/research.html Questions should be directed to Peter Latham, pel(a)gatsby.ucl.ac.uk

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Research Position in NeuroComputing / Computational Neuroscience at TU Chemnitz (Germany)
by Julien Vitay March 27, 2019

March 27, 2019

A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative. The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches. The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications. Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to ( fred.hamker(a)informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled. Prof. Dr. Fred Hamker Künstliche Intelligenz Fakultät für Informatik TU Chemnitz 09107 Chemnitz www: https://www.tu-chemnitz.de/informatik/KI/index.php.en

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PhD position in Machine Learning at Imperial College London
by MyPAJudith March 27, 2019

March 27, 2019

PhD position in Machine Learning in the Clopath lab under the joint supervision of Dr Claudia Clopath (Imperial College London) and Dr Razvan Pascanu (DeepMind London) -----------------Description-------------- This is a 3-year, fully-funded PhD position at Imperial College London. The position will be co-supervised by Dr. Claudia Clopath (head of the lab) and Dr. Razvan Pascanu (Research Scientist at DeepMind). The student will be based in the Clopath lab. The focus of the PhD will be on machine learning while drawing inspiration from computational neuroscience. In particular, the main themes will revolve around Deep Learning and Deep Reinforcement Learning. The research will be published at conferences such as NeurIPS, ICML or ICLR. An *incomplete* list of topics of interest could include: Theory of Deep Learning/Deep Reinforcement Learning Understanding learning dynamics Representational power of neural networks Exploiting our understanding of dopamine for training RL systems Topics around introducing structure in neural networks (e.g. Graph-Nets) Optimization for neural networks (theory/application) Understanding memory in recurrent models/attention based models (improve the memory capacity of RNNs) Meta-learning/Continual learning or exploration in RL systems Although we welcome the student’s suggestion for potential projects. ---------------Requirements-------------------- The perfect candidate has a strong background in maths, physics, engineering or related fields. Machine Learning background is a plus but not necessary. The candidate should have strong programming skills (knowledge of tensorflow/pytorch would be a plus but not required). Interest in neural networks research and experience is a plus. Due to the funding requirement of the position, the candidate should be an *EU or British citizen*. The funding/position will not be affected by the Brexit outcome. ------------ The lab ------------ The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals and conferences. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ DeepMind is a company focusing on AI and ML research, with world-wide recognized expertise. Its research centers around Deep Learning and Reinforcement Learning, with successes such as AlphaGo, first AI winning against a human professional at the game of Go. More information here: https://deepmind.com/about/. For more info on Razvan Pascanu’s work see https://sites.google.com/view/razp. ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1 to 2-page motivation letter followed by a CV (including publication list) to judith(a)mypajudith.com, with the subject containing 'PhD_ML_2019'. In addition, candidates should organize two letters of reference to be sent to judith(a)mypajudith.com, with the subject containing 'PhD_ML_2019'. The position is open until filled but the earlier applications will be considered first (first round of consideration will take applications sent before April 10th).

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2019 NEURON Summer Course
by Carnevale, Nicholas March 25, 2019

March 25, 2019

The 2019 NEURON Summer Course will be held at the Minneapolis campus of the University of Minnesota, from Monday, June 10, through Saturday, June 15. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. The registration deadline is Friday, May 31, 2019. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/summer2019/summer2019.html --Ted

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The Virtual Brain - Node #8 Workshop [Marseille, May 20-21]
by Jan Fousek March 25, 2019

March 25, 2019

Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB) at our 2-day workshop held in Marseille on May 20-21, 2019 . TVB NODE#8 takes place ahead of NeuroFrance2019; be sure to register for both! TVB enables biologically realistic modeling of network dynamics using Connectome-based approaches across different brain scales. Generate macroscopic neuroimaging signals including fMRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Personalized brain network models can be derived from an individual’s MRI data. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. Applications to use cases in the healthy and diseased brain are explicitly presented. Workshop program overview: * Theoretical background of large scale brain network modeling * Architecture of The Virtual Brain * Interacting with TVB using GUI and Python CLI * Preprocessing neuroimaging data, or how to obtain a TVB dataset * Clinical applications of The Virtual Brain: modeling epilepsy * Modeling brain dynamics in brain tumor patients * Fitting the brain model parameters to the functional data * Modeling resting state networks * Modeling brain stimulation and mouse brains * Modifying TVB code and implementing new features * Optional: bring your own data LOCATION Aix-Marseille Université - Faculté de Médecine Campus La Timone Bâtiment Pédagogique 27 Boulevard Jean Moulin Marseille, France 13005 REGISTER HERE: https://tvb-node8.eventbrite.ca The workshop is organized with interleaved oral presentation and hands-on sessions. Attendants will have the time to ask questions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. *Bring your own device.* Refreshments will be available during the breaks and lunch will be provided. *WORKSHOP HAS LIMITED ATTENDANCE* *Registration will be closed on April 29th.* More information: https://www.thevirtualbrain.org/tvb/zwei/newswire-event-single/243713-works… Please contact Jan Fousek (jan.fousek at univ-amu.fr) if you have any questions. Jan Fousek INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université 27 Bd Jean Moulin 13005 Marseille France https://ins-amu.fr/

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Course announcement : CAMP@Bangalore 2019
by Bhanu Priya March 24, 2019

March 24, 2019

We would like to announce CAMP@Bangalore 2019 from 27 June 2019 to 12 July 2019. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. The flavor of this edition of CAMP will be Synaptic Plasticity. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline : 6 April, 2019. Please check the course website http://camp.ncbs.res.in/ for more details. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) -- Bhanu Priya S Graduate Student Dr. Upinder Bhalla Lab National Centre for Biological Sciences, Bangalore, India

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post-doc position, Moreno-Bote lab, Barcelona
by Ruben Moreno Bote March 23, 2019

March 23, 2019

*Post-doctoral position* *Computational Neuroscience, Moreno-Bote Lab * *University Pompeu Fabra, Barcelona, Spain* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Rubén Moreno-Bote lab. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art mathematical techniques to understand neuronal dynamics and will have access to multielectrode recording neural data. He/she could also be involved in the design of electrophysiology experiments through our collaborators. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (http://www.upf.edu/pdi/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: up to the position is filled STARTING DATE: preferably any time between September 2018 and January 2019 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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Job opening in Computational Neuroscience: Scientist for press and public relations work - focus on designing public presentations on a part-time basis
by Martina Reske March 22, 2019

March 22, 2019

The Institute of Neuroscience and Medicine (INM) at Forschungszentrum Jülich, investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The INM focuses on the structure and function of the healthy and diseased human brain, its variability, and its development during a lifetime. It aims to understand the structural and functional changes caused by neurological and psychiatric disorders and thus to improve their early diagnosis and treatment. Scientists from various disciplines have therefore joined forces, employing state-of-the-art imaging techniques such as structural and functional magnetic resonance imaging (MRI), positron emission tomography (PET), microanatomy, cell biology, genetics, and the methods used in physics and information science. The INM-6, Computational and Systems Neuroscience, develops mathematical models of the dynamics and function of neural circuits. These include model-driven analysis of brain activity and structure, and the simulation of biologically realistic models. The subinstitute is also part of the Institute of Advanced Simulation (IAS-6, Theoretical Neuroscience) and hosts the coordination office (BCOS) of the national Bernstein Network Computational Neuroscience. The INM-6 is strongly involved in the EU flagship project "Human Brain Project" (HBP, http://www.humanbrainproject.eu/) and leads several work packages in the subproject Theoretical Neuroscience as well as in the platforms Neuroinformatics, Brain Simulation and High-Performance Analytics and Computing. Together with its partners, the INM-6 develops leading codes for simulation (http://www.nest-initiative.org/) and data analysis (https://python-elephant.org/) on the brain scale with the resolution of individual nerve cells in an open source approach. We are looking to recruit a Scientist for press and public relations work - focus on designing public presentations on a part-time basis Your Job: * Development of the communication strategy and communication management of the institute * Development of concepts for graphic presentations and public relations of the institute as well as their creative implementation for various PR formats and scientific journals and media * Creation of popular scientific articles, placement of announcements in the media, design of texts, presentations and graphics in compliance with the corporate design * Inspection, analysis and evaluation of very complex, technically difficult and thematically diverse scientific information for the provision of information tailored to the target group * Planning and design of scientific graphics, figures, texts and audiovisual or interactive media for the visualization of scientific contents of the institute as well as their integration into the international scientific community * Development of new concepts for the institute website and for social media channels, including the creation and maintenance of a Twitter or Instagram account for the institute * Identification of high-profile research results and their preparation for the internet * Reworking of material prepared by scientists, e.g. image, text, video and graphic data, according to the target group * Preparation, revision and editing of scientific and non-scientific publications and presentations in German and English language * Graphic creation and preparation of scientific talks and lectures * Coordination and participation in the creation of posters and institute flyers * Taking scientific photographs or films and editing them digitally * Coordination of the work with the graphic service units of the research centre * Preparation, organization and monitoring of internal and external scientific events * Training of executives and scientists in dealing with the media Your Profile: * A university degree in physics, mathematics or biology or alternatively a university degree in communication & media sciences and very good knowledge of physics, mathematics and biology * Very experienced handling of graphics and video software such as GIMP, Inkscape as well as common Adobe applications * Good experience in dealing with the media and social media * Experience in writing German and English scientific and/or administrative texts * Experience with Linux, LaTeX and Python is desirable * Very good knowledge of layout and website editing systems * Very good knowledge of written and spoken English * Very independent and proactive working style * Pertinence and sensitivity to the specific needs of the customer Our Offer: * Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf, and Aachen * International and interdisciplinary working atmosphere * Working in a creative team with an international perspective * World-class work at the interface between neuroscience and technology on the most complex known systems * A comprehensive further training programme * Flexible working hours and various opportunities to reconcile work and private life * A part-time job with 19,5 hours per week * Limited for 2 years with possible longer-term prospects * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD) Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…> via our online recruitment system on our career site until 14.04.2019, quoting the reference number 2019-126. Questions about the vacancy? Contact us by mentioning the reference number 2019-126: career(a)fz-juelich.de<mailto:career@fz-juelich.de?Subject=Questions%20about%20the%20vacancy%202019-126&body=You%20can%20use%20this%20field%20to%20send%20us%20questions%20about%20the%20job%20advertisement%20you%20have%20selected.%20If%20you%20would%20like%20to%20apply%20for%20the%20position%2C%20please%20note%20that%20this%20is%20only%20possible%20via%20our%20online%20application%20portal.> Please note that for technical reasons we cannot accept applications via email. -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Junior Scientist Workshop on Advanced Neural Data Analysis 2019 in NYC
by Rainer Engelken March 20, 2019

March 20, 2019

*Junior Scientist Workshop on Advanced Neural Data Analysis 2019 <https://ctn.zuckermaninstitute.columbia.edu/junior>* August 26th - 29th 2019, New York City, USA Hosted by the Center for Theoretical Neuroscience <https://ctn.zuckermaninstitute.columbia.edu/> at Columbia University Apply HERE <https://goo.gl/forms/xqlaJYZA7tiuhlWX2> by May 15 (11:59 p.m. EST): This workshop is intended for PhD students and postdocs who want to learn and share with their peers new advanced techniques in data analysis and apply them to complex neural datasets. During the workshop, attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. The purpose is to gain a detailed understanding of the complexity of data and of the appropriateness of the different analysis techniques. The ideal participants are theoreticians with experience in analyzing experimental data as well as computationally minded experimentalists. By mixing a group of scientists with a diverse background but with overlapping goals of uncovering structure in neural data, the participants will learn an array of techniques and foster fruitful collaborations. The workshop will include presentations, tutorial sessions and lots of time and space for unfiltered in-depth discussions and data hacking sessions. We envision tutorials both on advanced data analysis as well as on specific experimental techniques and data processing. Participants are therefore expected to contribute with code or data to share and a reasonable dose of energy for giving tutorials on their work. Data and/or code can come in any format, including artificially generated data, but we encourage to make them available in a form that everyone can explore them with minimal overhead. Any data is shared only within the workshop. In order to foster an interactive atmosphere and allow everyone to give a detailed description and tutorial of their work, the workshop will be limited to a small group of participants. Participants will be provided with funds to cover travel, accommodation, and meals. We encourage applications from female scientists and those belonging to underrepresented minorities. The Junior Scientist Workshop is organized in partnership with the NeuroNex Theory Team at the University of Houston <https://neuronex.org/projects/13> and funded by NSF's NeuroNex <https://www.nsf.gov/news/news_summ.jsp?cntn_id=242652> initiative. The 2019 workshop will be held at Columbia University's Jerome L Greene Science Center <https://www.google.com/maps/place/Jerome+L.+Greene+Science+Center/@40.81685…>. Organizers: Fabio Stefanini, Mario Dipoppa, Rainer Engelken, Krešimir Josić, and Ashok Litwin-Kumar. ************************************************************* Rainer Engelken Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University pgp fingerprint: F94E 83D9 77AB 76F6 15E9 1503 3AD6 FCDC 410B 14F2 re2365(a)columbia.edu ctn.zuckermaninstitute.columbia.edu *************************************************************

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PhD Positions Available in Computational Neuroscience at Simula/UiO
by Kimberly McCabe March 19, 2019

March 19, 2019

The Simula School for Research and Innovation seeks applicants for 3 *PhD positions* offered as part of a larger collaborative PhD programme between Simula, the University of Oslo (UiO), and the University of California, San Diego (UCSD). This programme has been named SUURPh (the Simula-UiO-UCSD Research and PhD training programme), and more details can be found on the programme home page <https://www.simula.no/education/educational-partnerships/suurph-programme>, and on the page for SUURPh applicants <https://www.simula.no/education/educational-partnerships/suurph/suurph-appl…> . Detailed descriptions of the projects being offered can be found on the Projects Page <https://www.simula.no/education/educational-partnerships/suurph/available-s…>. Each project will require slightly different expertise and experience, but all are within the scope of *computational biology *and medicine. Thus, Simula and UiO are seeking motivated and independent students from a wide range of training backgrounds, but particularly with a strong working knowledge in computational and quantitative sciences to take up these doctoral fellowships. The duration of SUURPh doctoral fellowships will be 3 years, and the time of initiation will vary depending on the project but can be as early as August 1st 2019. All Simula-based SUURPh fellows will be enrolled as PhD students at the University of Oslo Mathematics and Natural Sciences Faculty. An additional unique feature of the SUURPh programme is that SUURPh fellows will be required to conduct a portion of their doctoral research in San Diego. As such, all applicants should be prepared and eager to spend a portion of their degree (generally 6 months – 1 year) at UCSD. Applicants are also obligated to meet academic standards for PhD students at UiO, including receipt of a Master’s Degree by June 30, 2019. The deadline for applications is April 15, with hiring decisions expected by mid-June. Details regarding available projects, application requirements, and the hiring process can be found through our online application portals (through Simula <https://www.simula.no/about/job/simula-school-research-and-innovation-seeks…> or UiO <https://www.jobbnorge.no/en/available-jobs/job/166324/phd-fellowships-avail…>). UiO is separately advertising 4 PhD positions for this programme, and applicants are welcome to rank projects from both the Simula and UiO sections during the application process. Please feel free to forward this announcement to those who may be interested. If you have any questions, you may direct them to the programme coordinator Kim McCabe (kimberly(a)simula.no) Best, Kim Kimberly McCabe SUURPh Programme Coordinator Simula School for Research and Innovation

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post-doc positions at UCL, Space and Memory group of Neil Burgess
by Bicanski, Andrej March 18, 2019

March 18, 2019

Two post-doc positions at University College London, in the Space and Memory group, with Neil Burgess Two post-doc positions are available at the UCL Inst of Cognitive Neuroscience with Neil Burgess’ Space and Memory group (https://www.ucl.ac.uk/icn/people/neil-burgess) Posts are until Sept 2021 in the first instance, extension contingent on further funding. Candidates will perform research in human cognitive and computational neuroscience that should complement the group’s current work, which includes: MEG decoding of sequential planning [1]; 3T and 7T fMRI of neural mechanisms in imagery, memory, navigation [2-4]; the effects of emotional content on memory [5]; intracranial recording in epilepsy patients [6]; computational modelling of imagery, memory and the roles of grid and place cells [7,8]. Researchers will collaborate with related work on grid and place cells in rodent virtual reality [9] and related groups at the ICN, Welcome Centre for Human Neuroimaging, Sainsbury Wellcome Centre for Neural Circuits and Behaviour and the wider UCL neuroscience community. For details and to apply, please see https://tinyurl.com/yyhr3kzr The deadline is 9th April. selected recent publications: 1. Kornysheva et al (2019) https://doi.org/10.1016/j.neuron.2019.01.018 2. Horner et al (2016) https://doi.org/10.1016/j.cub.2016.01.042 3. Horner et al (2015) https://www.nature.com/articles/ncomms8462 4. Grande et al (2017) http://www.abstractsonline.com/pp8/#!/4376/presentation/7698 5. Bisby & Burgess (2017) https://doi.org/10.1016/j.cobeha.2017.07.012 6. Bush et al (2017) https://doi.org/10.1073/pnas.1708716114 7. Bicanski & Burgess (2018) https://doi.org/10.7554/eLife.33752.001 8. Bicanski & Burgess (2019) https://doi.org/10.1016/j.cub.2019.01.077 9. Chen et al (2019) https://www.nature.com/articles/s41467-019-08550-1 Dr. Andrej Bicanski Institute of Cognitive Neuroscience University College London 17 Queen Square, WC1N 3AZ London, UK www.andrejbicanski.com<http://www.andrejbicanski.com>

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Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada
by Nicola, Wilten March 18, 2019

March 18, 2019

Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada The Department of Physics and Astronomy at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor, in the area of theoretical and computational neurophysics. The successful candidate is expected to establish an independent research program related to the fundamentals of brain and neural dynamics at the intersection of physics and neuroscience. Theoretical, computational and data-driven areas of interest in modeling neural systems include neural dynamics, plasticity, information propagation, and network neuroscience. Link: https://careers.ucalgary.ca/jobs/3670741-assistant-professor-theoretical-an… Deadline: May 31, 2019 --- Dr. Jörn Davidsen Associate Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/complexity/davidsen<http://www.ucalgary.ca/complexity/davidsen>

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MSc Neuroscience program University of Freiburg, Germany
by Carsten Mehring March 18, 2019

March 18, 2019

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2019 entry is the 31st of May 2019. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> Please contact mscneuro@uni-freiburg,de for further questions. With kind regards Carsten Mehring University of Freiburg

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INTERNATIONAL SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, Beijing, August 2019
by Rava A. da Silveira March 16, 2019

March 16, 2019

*CNeuro**: International Summer School and Workshop* *in Theoretical and Computational Neuroscience* *Tsinghua University, Beijing (August 2019)* *Background* How intelligence and behavior emerge from complex and intricate interactions within the brain remain important and unsolved mysteries in modern science. In the last decade, we have seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This research area presents both challenges and opportunities for experimentalists and theoreticians. The complexity and dynamics of the brain make it difficult to tackle its mechanisms and functions with experimental approaches alone. Mathematical theory is pivotal for obtaining new insights and for guiding experiment, as well as for identifying and unifying concepts and principles of brain functions. The aim of the two-week summer school and workshop will be to introduce students with strong quantitative background (e.g., in mathematics, theoretical physics, computer science, or engineering) to the emerging field of theoretical and computational neuroscience. The course will also bring together leading scientists in theoretical and computational neuroscience. We envision a collaborative environment where faculty and students will have in-depth discussions on topics in the frontier of neuroscience. The course will be a pedagogical basis for new students, introducing them to advanced mathematical methods and modeling approaches that are currently being used and developed to understand brain functions. *Time* 15 – 29 August 2019 *Location* The summer school will be held at the Tsinghua Laboratory of Brain and Intelligence (THBI), at Tsinghua University, in Beijing. THBI is a flagship project of the university. It is a new interdisciplinary research institute recently established by Tsinghua University, with dedicated faculty positions and research space. The institute aims to conduct cutting-edge interdisciplinary research across the fields of systems and computational neuroscience and artificial intelligence. The institute occupies three floors in a newly renovated building with large classrooms for teaching and computer labs, and ample offices for visiting scholars. *Organizers* Xiaoqin Wang, Johns Hopkins University and Tsinghua University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Quan Wen, University of Science and Technology of China Sen Song, Tsinghua University *Faculty* Yoram Burak, The Hebrew University Dmitri Chklovskii, Flatiron Institute, Simons Foundation Michael Hausser, University of College London Yu Hu, Hong Kong University of Science and Technology Dezhe Jin, Penn State University Jian Liu, University of Leicester Cengiz Pehlevan, Harvard University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Sen Song, Tsinghua University Louis Tao, Peking University Srinivas Turaga, Janelia Research Campus Xiaoqin Wang, Johns Hopkins University and Tsinghua University Quan Wen, University of Science and Technology of China Kechen Zhang, John Hopkins University *Applications* Please send a CV and a statement of purpose to thbi(a)tsinghua.edu.cn Application deadline: *20 May 2019* *Housing* International students will be housed on the Tsinghua University campus.

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PhD Comp Neuro position, Moreno-Bote lab, Barcelona
by Ruben Moreno Bote March 16, 2019

March 16, 2019

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models to understand neuronal dynamics and coding and will have access to multielectrode recording neural data. She/he could also be involved in the design of monkey and human behavioral experiments and the development of models of visual perception, decision making and working memory. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2019 and January 2020 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE
by Gigg Liu March 16, 2019

March 16, 2019

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services IMPORTANT DATES The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. Submissions are encouraged before the next deadlines: Feb 20th, 2019: Workshop Proposals May 12th, 2019: Full Papers; Demo papers; Tutorial proposals June 30th, 2019: Notification of Acceptance/Rejection July 14th, 2019: Final, Camera Ready Papers, Due PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

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Post-Doc position: HuRRiCane project (deadline 27/03)
by Xavier Hinaut March 15, 2019

March 15, 2019

Dear Colleagues, I would like to share the following post-doc position opening in my team (see below) with the title: HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension If you know people interested, please forward. Thank you very much. Best regards, Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux, France Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com --- Title HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension Post-doc position for 1 year Starting October 2019 Deadline for applications Send email ASAP and before 27th of March 2019 Apply on before 31st of March 2019 How to apply? All info here: https://sites.google.com/site/xavierhinaut/job-internship-offers/post-docto… Remuneration 2653€ / month (before taxes) Keywords Computational Neuroscience, Recurrent Neural Networks, Reservoir Computing, Language Processing, Language Acquisition, Speech Processing, Modeling, Language Grounding, Prefrontal Cortex, Sequence Learning, Machine Learning. Scientific research context How does our brain understand a sentence at the same time as it is pronounced? How are we able to produce sentences that the brain of the hearer will understand? There is a huge number of tools for Natural Language Processing (NLP), but there is fewer computational models that try to understand how language comprehension and production works effectively in the brain. There are theoretical models or models based on psychological experiments (Dell & Chang 2014), but few models are based on neuro-anatomy and brain processes (Hinaut & Dominey 2013). Moreover, even fewer of these models have been implemented in robots, to demonstrate their robustness among other things (Hinaut et al. 2014). Using robots to study language grounding, acquisition and development is not a new topic, in fact Cangelosi et al. (2010) have proposed a roadmap to tackle this long research plan. In order to model how a sentence can be processed, word by word (Hinaut & Dominey 2013), or even phoneme by phoneme (Hinaut 2018), the use of recurrent neural networks such as Reservoir Computing (Jaeger 2004), and its extension, the Conceptors (Jaeger 2017), offers advantages and interesting results. In particular, the possibility to compare the dynamics of the model with the dynamics of brain electrophysiological recordings (Enel et al. 2016) is an interesting asset. The Reservoir Computing paradigm is also interesting because it can be trained with few data and have quick execution time for human-robot interactions. The use of linguistic models with robots, is not only useful to validate the models in real conditions: it also enables to test other hypotheses, notably the anchoring of the language (Harnard 1990) or the emergence of symbols (Taniguchi et al., 2016). Work description The objective is to experiment how a sentence comprehension model, based on reservoir computing, can learn to understand sentences by exploring which meanings can have the sentences, implying several steps from stream of phonemes to words and from stream of words to sentence comprehension. The model will be implemented on a virtual agent first and then on the Nao humanoid robot For the experiments we want to make, a model implemented in a situated agent or robot is needed in order to "understand" the meaning of the utterance which is being told and figure out whether the meaning is plausible or not. If the meaning found does not make sense, the model could "re-parse" the sentence and reinterpret it. Moreover, we prefer to have a concrete corpus of based on actions a robot can do rather than abstract sentences of the Wall Street Journal (a classical benchmark). We have already performed several experiments with both sentence comprehension and production models with humanoid robots such as iCub and Nao (Hinaut et al. 2014, Twiefel et al. 2016). Having a plausibility measure of a meaning will allow us to set up a cascading reinterpretation if necessary, first from the word level, and if that is not enough, to reinterpret the phonemes to find new plausible words. There exists two main types of observations made with an electroencephalogram (EEG) with human subject: P600 and N400. They are assumed to correspond to syntactically or semantically reinterpretations of the sentence. The model developed will have to account for these induced observations. In Hinaut & Dominey (2013), we showed that our model could provide an equivalent of P600 when a sentence was syntactically complex. This project is linked to other projects in the team on the hierarchical organization of the prefrontal cortex (including Broca's area, involved in language). This hierarchy corresponds to an increasingly higher abstraction, which is made by different sub-areas. We will therefore be able to link this post-doc project to existing projects of the team, where different levels of abstractions are necessary for sentence comprehension. Main References - G. S. Dell, & F. Chang (2014) The P-chain: Relating sentence production and its disorders to comprehension and acquisition. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1634). - H. Jaeger, (2017) Using conceptors to manage neural long-term memories for temporal patterns. The Journal of Machine Learning Research, 18(1), 387-429. - X. Hinaut, P.F. Dominey (2013) Real-Time Parallel Processing of Grammatical Structure in the Fronto- Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing. PloS ONE 8(2): e52946. - X. Hinaut, M. Petit, G. Pointeau, P.F. Dominey (2014) Exploring the Acquisition and Production of Grammatical Constructions Through Human-Robot Interaction. Frontiers in NeuroRobotics 8:16. - Hinaut, X. (2018). Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions? In 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Skills Good background in computational neuroscience, computer science, physics and/or mathematics; A strong interest for neuroscience, linguistics and the physiological processes underlying learning; Python programming with experience with scientific libraries Numpy/Scipy (or similar programming language: matlab, etc.); Experience in machine learning or data mining; Independence and ability to manage a project; Good English reading/speaking skills. French speaking is not required Benefits package Subsidized meals Partial reimbursement of public transport costs Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage

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PhD FELLOWSHIP IN INTERDISCIPLINARY NEUROSCIENCE @ LISBON (pre-selection 20th Mar, application 28th Mar)
by Prata, Diana March 15, 2019

March 15, 2019

For divulgence - many thanks. PhD FELLOWSHIP IN INTERDISCIPLINARY NEUROSCIENCE @ LISBON (pre-selection 20th Mar, application 28th Mar) The annual FCT state-sponsored PhD scholarship application call is now open (deadline 28th of March - see conditions in https://www.fct.pt/apoios/bolsas/concursos/individuais2019.phtml.en) and is an excellent opportunity to be part of a PhD project at the Biomedical Neuroscience Lab (Diana Prata's lab; dpratalab.wordpress.com<http://dpratalab.wordpress.com>) at the University of Lisbon. If you are interested in a project within one the research streams below, please contact the PI (diana.prata(a)kcl.ac.uk<mailto:diana.prata@kcl.ac.uk>) for a skype interview by 20th of March, to ascertain mutual interest. This being ascertained, your FCT PhD scholarship (deadline 28th Mar) application can be associated with one of the lab's projects. Research stream 1: Neurobiology of Social Cognition Context. Understanding the neurochemistry and circuitry mediating social cognition is key to treat a large range of neuropsychiatric disorders – as social deficits are often present at their origin and often do not subside with treatment. Working out what others think, intend and feel is essential for optimal communication and cooperation and is dysfunctional in schizophrenia and other illnesses. We are characterizing the physiology involved in social cognition, for example: how does oxytocin promote social reinforcement learning? What effect does it have in brain and behaviour? How does it interact with other neurotransmitter systems? Tools. We will study healthy humans and schizophrenia patients with structural and functional neuroimaging (MRI, DTI and MRS), double blind placebo-controlled pharmacological administration, psychological testing, social cognition tasks, eye-tracking, pupilometry, skin conductance response, EEG, DNA/proteomics testing and computational modelling. We use mainly MATLAB, SPSS, and other more specific quantitative data analysis and task presentation software. Sponsors. European Commission, Portuguese Science and Technology Foundation, and Bial Foundation. Main collaborations. King’s College London (UK), Emory University (USA), and The Netherlands Institute for Neuroscience (The Netherlands). Project Stream 2. Multimodal biomarkers to predict the onset and prognosis of neuropsychiatric illnesses. Keywords. Genetics, neuroimaging, environment, clinical biomarkers, schizophrenia, autism, Alzheimer’s, Parkinson’s. Context. Psychiatry and, to a lesser extent, neurology are still fields of medicine that take very little advantage of quantitative, biological and objective measurements – with a lot of trial-and-error and one-size-fits-all therapeutics. This may be why diagnosis, prediction of prognosis and response to treatment are relatively inaccurate, late and expensive. For example, about a third of Alzheimer’s cases go on mis- or under-diagnosed; it is still undetected which one third of people with at-risk symptoms for schizophrenia go on to develop this chronic illness, and about one quarter of schizophrenia patients do not respond to their first line of treatment. Can we capitalize on the existing information in brain scans and other quantitative measurements to assist clinicians in deciding on patients’ diagnosis or prognosis, earlier and more accurately than currently – so that the correct treatment can start as soon as possible? Tools. We are developing pattern recognition algorithms that can statistically predict the level of personalized risk of each new patient. To train these algorithms, we use pre-existing samples (free online or our own) containing neuroimaging and also genetic, psychological, environmental and clinical data. We use mainly MATLAB, Python and machine learning tools. Sponsors. Portuguese Science and Technology Foundation, NIHR (National Institute for Health Research, UK) Main Collaborations. King’s College London (UK), Radboud University Nijmegen (The Netherlands), University of Munich (Germany)

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU March 15, 2019

March 15, 2019

The Department of Computer Science of Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, now seeks outstanding applicants for the following faculty positions on tenure-track. The appointees are expected to perform high-impact research; to teach and manage programmes at undergraduate and postgraduate levels, as well as to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and/or outside the Department to contribute to interdisciplinary research projects under our University’s Research Cluster on Data Analytics and A.I. in X. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department’s key research areas: (i) computational intelligence, (ii) databases and information management, (iii) networking and systems, and (iv) pattern recognition and machine learning. Applicants should also demonstrate strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and demonstrate the ability to bid for and pursue externally-funded research programmes. Initial appointment will be made on a fixed-term contract of three years. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk . Rank and salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk). Applicants are requested to send in samples of publications, preferably three best ones out of their most recent publications. Applicants should also request two referees to send in confidential letters of reference, with PRnumber (stated above) quoted on the letters, to the Personnel Office (email: recruit(a)hkbu.edu.hk) direct. All application materials including publication samples, scholarly/creative works will be destroyed after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications will begin in mid April 2019 and will continue until the positions are filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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CFP 28th International Conference on Artificial Neural Networks ICANN 2019, Sept 17-19, Munich, DE, Deadline extension
by Paolo Masulli ENNS March 14, 2019

March 14, 2019

28th International Conference on Artificial Neural Networks http://icann2019.org = Second announcement - submission deadline extended to April 1, 2019 = Munich, Germany 17 - 19 September 2019 Special event: BIGCHEM (http://bigchem.eu) final meeting ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2019 the Helmholtz Zentrum Muenchen - German Research Center for Environmental Health GmbH (HMGU) and the Technical University of Munich (TUM) together with the "Big Data in Chemistry" Marie Skłodowska-Curie Innovative Training Network European Industrial Doctorate project (BIGCHEM) organize the 28th ICANN Conference from the 17th to the 19th of September 2019 in Munich, Germany. CONFERENCE TOPICS ICANN 2019 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. Special session (BIGCHEM): Big Data analysis in chemistry, chemoinformatics, use of deep learning to predict molecular properties, drug-discovery, modelling and prediction of chemical reaction data, synthetic route prediction, structure generation, molecular dynamics simulations and quantum chemistry. Special sessions: Artificial Intelligence in Medicine, Informed and Explainable Methods for Machine Learning, Deep Learning in Image Reconstruction, Machine Learning with Graphs: Algorithms and Applications, Neural Variational Inference and Time Series. Workshops: 1st International Workshop on Reservoir Computing (RC 2019) CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2019 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications - demonstrations Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - a proceedings paper manuscript of about 10 - 12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI - extended abstracts of a maximum length of 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selections will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: http://icann2019.org IMPORTANT DATES Deadline of special sessions submission: 1 February 2019 Opening of contribution submissions: 1 February 2019 Submission of demonstration proposals: 1 March 2019 Deadline of proceedings paper submission: EXTENDED to 1 April 2019 Deadline of extended abstracts submission: 1 April 2019 Notification of acceptance: 1 May 2019 Camera-ready paper and registration opening: 1 June 2019 Deadline early registration at discount rate: 15 June 2019 Conference dates: 17-19 September 2019 REGISTRATION FEES (EARLY RATES) Full registration: 400 EUR Student registration: 250 EUR Reductions for ENNS members BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awardees will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details on the conference website. ORGANISATION General Chair: Igor Tetko (ENNS/HMGU Munich, Germany) and Fabian Theis (HMGU/TUM Munich, Germany) Organising Committee Chairs: Monica Campillos (HMGU Munich, Germany), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chair: Vera Kurkova, Czech Academy of Sciences (ENNS President) Communication Chair: Paolo Masulli (ENNS Lausanne, Switzerland)

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[journals] CfP : Special Issue on Continual Unsupervised Sensorimotor Learning
by Nguyen, Sao Mai March 14, 2019

March 14, 2019

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

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3-year PhD studentship at University of Strathclyde, Glasgow
by Shuzo Sakata March 13, 2019

March 13, 2019

A fully funded 3-year PhD studentship is available to work with Dr Shuzo Sakata at the University of Strathclyde in Glasgow, UK. This PhD project concerns a large dataset of in vivo silicon probe recordings with optogenetic tagging from the mouse auditory system across age. By applying advanced statistical approaches, we aim to better understand how state-dependent and cell-type-specific information processing in the auditory system can change over multiple timescales. In this project, data analysis with computer programs (e.g., Python, MATLAB) is an essential component. A successful candidate should have or expect to have an Honours Degree at 2.1 or above (or equivalent) in Computational Neuroscience, Physics, Data Science, Computer Science, Statistics or related fields. During their PhD, they will also have an excellent opportunity to learn about in vivo experimental approaches as well as neurotechnology. In the first instance, candidates may send their application to Dr Shuzo Sakata (shuzo.sakata(a)strath.ac.uk) including a CV and cover letter, detailing their motivation for this particular PhD project and their career goal. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

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Bernstein Network Information Booth at the 13th Göttingen Meeting of the German Neuroscience Society (NWG)
by Alexandra Stein March 13, 2019

March 13, 2019

Dear colleagues, The Bernstein Network Computational Neuroscience<https://www.bernstein-network.de/de/neues/termine/13th-goettingen-meeting-o…> will have an exhibition booth (C) at the upcoming Göttingen Meeting of the German Neuroscience Society<https://www.nwg-goettingen.de/2019/> (March 20-23, 2019). The booth will present: * research fields * open positions * study and training programs * infrastructural facilities: Bernstein Facility for Data Technology: G-Node<http://www.g-node.org/> and Bernstein Facility for High Performance Simulation and Data Analysis: 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/>, Electrophysiology Analysis Toolkit (Elephant)<http://neuralensemble.org/elephant/>, and The Neural Simulation Technology (NEST) Initiative <http://www.nest-initiative.org/> Furthermore, there will be various demos at our booth. Please find the schedule below: G-Node will give demo presentations of their data management services (GIN) for organizing, sharing, and publishing research data: Wednesday, March 20, 13:00 - 14:30 Thursday, March 21, 10:00 - 11:30 and 16:30 - 18:00 Friday, March 22, 10:00 - 11:30 Walk-ins are welcome any time during the conference. Demos of data analysis using the Electrophysiology Analysis Toolkit (Elephant) will take place at: Wednesday, March 20, 13:00 - 14:30 Thursday, March 21, 16:30 - 18:00 Friday, March 22, 10:00 - 11:30 The Neural Simulation Technology (NEST) Initiative will give demos at the following times: Wednesday, March 20, 13:00 - 14:30 Thursday, March 21, 16:30 - 18:00 Friday, March 22, 10:00 - 11:30 We are looking forward to welcoming you at our booth no. C! Best regards, Alexandra Stein -- 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Computational Vision Summer School (CVSS) 2019 Call for Applications
by Hendrikje Nienborg March 13, 2019

March 13, 2019

[apologies for cross-posting] We are seeking applications for the 3rd Computational Vision Summer School (CVSS)from*June 30th to July 7th 2019*in Freudenstadt (Black Forest), Germany. ** *The summer school, aimed at PhD students and Postdocs, spans the spectrum of vision research from neuroscience and psychophysics to computer vision to foster discussions at the intersection of biological and artificial vision systems. It seeks to bring together people from diverse disciplines who all share a computational view of vision and who, due to the diversity of disciplines involved, do not regularly meet.* *** CVSS is free of tuition and accomodation is sponsored by the German Research Foundation (DFG: CRC/1233 Robust Vision). Application deadline: April 15, 2019 http://orga.cvss.cc/ Confirmed speakers: ** Ted Adelson (MIT, USA) ** Matthias Bethge (University of Tübingen, Germany) Michael Black (MPI-IS Tübingen, Germany) EJ Chichilnisky (Stanford University, USA) Alexei Efros (UC Berkeley, USA) Sanja Fidler (University of Toronto / NVIDIA, Canada) Chelsea Finn (UC Berkeley, USA) Roland Fleming (University Giessen, Germany) Bill Geisler (UT Austin, USA) Otmar Hilliges (ETH Zürich, Switzerland) Mackenzie Mathis (Harvard University, USA) Bruno Olshausen (UC Berkeley, USA) Ruth Rosenholtz (MIT, USA) Stefan Roth (TU Darmstadt, Germany) Eero Simoncelli (New York University, USA) Antonio Torralba (MIT, USA) Raquel Urtasun (University of Toronto / Uber ATG, Canada) Felix Wichmann (University of Tübingen, Germany) Li Zhaoping (MPI-IS and University of Tübingen, Germany) Program Chairs and Advisory Board: Andreas Geiger, Hendrikje Nienborg, Siyu Tang, Bei Xiao Matthias Bethge, Michael Black, Felix Wichmann * -- Dr. Hendrikje Nienborg Werner Reichardt Centre for Integrative Neuroscience Universitaet Tuebingen Tel: +49 (0) 7071- 29 88846 Fax: +49 (0) 7071- 29 25008 email:hendrikje.nienborg@cin.uni-tuebingen.de

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PhD position on embodied cognition, Peter König lab.
by Peter König March 11, 2019

March 11, 2019

A PhD position 75% E 13 TV-L for 3 years is available in my lab (Peter König) at the University Osnabrück, Germany: Perform EEG recordings and eye tracking in the real and virtual worlds to explore embodied cognition. Example data are at https://www.dropbox.com/s/3ax3d2pad7pd6yv/EEG_Eyetracking_dataset_hq%20%28C… The red dot indicates the gaze position, the audio concurrent alpha activity. For full information see: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote_… … or drop a line. Best, Peter König -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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Open position: HPC-Coordinator at the Campus Institute Dynamics of Biological Networks
by von Behren, Christina March 11, 2019

March 11, 2019

We would like to draw your attention to the job vacancy below: GWDG is looking for a HPC-Coordinator (m/w/d) for the inter-faculty Campus Institute "Dynamics of Biological Networks". The position with a regular weekly working time of 39 hours should be filled as soon as possible. Remuneration is based on the collective agreement for the civil service (Bund); depending on the qualification, a classification up to the pay grade TVöD E 14 is possible. The position is initially limited to two years. By mutual agreement, it may become open-ended after this time. The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is a joint facility of the University of Göttingen Foundation under Public Law and the Max Planck Society. It functions as the data and IT competence center for the Max Planck Society and the University of Göttingen. Its scientific research tasks lie in the field of applied computer science. Additionally, it promotes the training of professionals in information technology. Numerous internationally recognized research institutions of the Göttingen Campus form a leading center in the field of neuroscience in Europe. In addition to the University of Göttingen and the University Medical Center Göttingen, these include three Max Planck Institutes, the European Neuroscience Institute Göttingen (ENI-G), the German Primate Center (DPZ) and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The Campus Institute "Dynamics of Biological Networks" (CIDBN) is a newly founded, transdisciplinary institute. It is jointly funded by the University of Göttingen, the University Medical Center Göttingen and the Max Planck Institute for Dynamics and Self-Organization. Its mission is to advance research at the frontiers of mathematics, physics and biological sciences, and to develop mathematical and computational concepts for the analysis of biological networks. Responsibilities * Planning, application, procurement, installation, configuration and administration of HPC clusters and matching storage solutions (file and database servers) * Development of hardware and software concepts for HPC clusters for scientific high-performance computing in the life sciences * Optimization of the hardware and software components used * Monitoring and error analysis on HPC systems and file and database servers * Implementation of the infrastructure requirements imposed by the HPC clusters and storage servers * Participation in HPC projects of the Campus Institute: o Independent development or adaptation and maintenance of scientific software in the HPC area (parallelization, performance analysis and tuning) o Development, installation, configuration and administration of the connection of experiments to the HPC and storage solutions in collaboration with the scientists of the involved research groups * Participation in campus-wide HPC topics Requirements * Completed mathematical and scientific higher education (ideally with doctorate) * Experience with the administration of HPC clusters or other Linux server farms or with the efficient use of HPC systems * Good analytical reasoning * Independent, structured and systematic way of working * Strong team and communication skills * Very good knowledge of German and English (in spoken and written form) Desirable Experience or results in one or more of the following areas: * Publication of HPC-relevant research * Acquisition and management of third-party funds * Development or optimization of high-scaling HPC applications * Experience with GPU programming (OpenCL or Cuda) * Conduct of interdisciplinary life science research projects The GWDG strives for gender equality and diversity and therefore welcomes applications from every background. The GWDG strives to employ more severely disabled people. Applications of severely disabled persons are expressly desired. Have we piqued your interest? Then please send your application until March 20th, 2019 via our online form at https://s-lotus.gwdg.de/gwdgdb/age/20190221.nsf/bewerbung If you have any questions about the vacancy, please do not hesitate to contact the HPC team (E-Mail: hpc-team(a)gwdg.de<mailto:hpc-team@gwdg.de>) or Dr. Ing. Christian Boehme (Tel .: +49 (0)551 201-1839, E-Mail: christian.boehme(a)gwdg.de) For further information and the original vacancy notice, please visit: www.gwdg.de<http://www.gwdg.de> --- Max Planck Institute for Dynamics and Self-Organization Bernstein Centre for Computational Neuroscience Postal address: Max-Planck-Institute for Experimental Medicine Hermann-Rein-Str. 3 37075 Goettingen Germany Email: christina.vonbehren(a)ds.mpg.de<mailto:christina.vonbehren@ds.mpg.de> Tel.: +49-(0)551-39-26674

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MBL Methods in Computational Neuroscience Course - deadline March 19
by Stephen A. Baccus March 10, 2019

March 10, 2019

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 23, 2019, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 19*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2019 Course Directors: Stephen Baccus, Stanford University Xiao-Jing Wang, New York University 2019 Confirmed Faculty: Larry Abbott, Columbia University Emery Brown, MIT Dmitri Chklovskii, Simons Institute Anne Collins, UC Berkeley Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Mark Goldman, UC Davis Kenneth Harris, U. College London James Haxby, Dartmouth University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Jonathan Pillow, Princeton University David Redish, U. Minnesota Terry Sejnowski, Salk Institute Mike Shadlen, Columbia U. Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Klaas Stephan, Univ. of Zurich Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind Hongkui Zeng, Allen Institute

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NEST Conference 2019 --- Abstract submission and registration open
by Hans Ekkehard Plesser March 8, 2019

March 8, 2019

Dear colleagues! It is a great pleasure to invite everyone interested in large-scale neural network simulation, particularly current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org) to the NEST Conference 2019 to be held on 24/25 June 2019 (Monday/Tuesday, lunch to afternoon) on the beautiful campus of the Norwegian University of Life Sciences at Ås, 30km south of Oslo. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10–15 minutes), on a poster, through a demo, or by organizing group work. Important dates • 15 April 2019 — Deadline for abstract submissions • 01 May 2019 — Notification of acceptance • 15 May 2019 — Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference(a)nest-initiative.org. We are looking forward to welcoming you to Ås in June! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section 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

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Bernstein Conference 2019 in Berlin: Deadline for Workshop Proposals, March 27!
by Alexandra Stein March 7, 2019

March 7, 2019

The Bernstein Network Computational Neuroscience<https://www.bernstein-network.de/en/start_page> invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2019<http://www.bernstein-conference.de/> in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 17 - 18, 2019 Main Bernstein Conference: September 18 - 20, 2019 Deadline for Satellite Workshop proposal submission: March 27, 2019, 3 pm CET (Deadline will not be extended!) Notification of Workshop acceptance: April 2019 Special in 2019: The Conference on Cognitive Computational Neuroscience (CCN)<https://ccneuro.org/> will be held back-to back with the Bernstein Conference on September 13 - 16. ************************************************************** The Bernstein Conference is the largest annual single-track Computational Neuroscience conference in Europe. It hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The selection criteria for workshop proposals will include scientific excellence, topical relevance and gender diversity. Satellite Workshop Schedule: September 17, 2019, 2:00 pm - 6:30 pm September 18, 2019, 8:30 am – 12:30 pm Workshop proposals are welcome for either half-day or full-day workshops. Workshop Costs – Financial Support: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Coffee break catering will be provided. Up to 10 selected workshops can receive financial support up to 1.500,00 € each. Instructions for Workshop Proposal Preparation: Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment 4) Optional: a comment on how the organizers plan to achieve gender diversity among speakers Please use the Workshop Proposal Form that can be downloaded here: www.bernstein-network.de/en/bernstein-conference/2019/satellite-workshops<http://www.bernstein-network.de/en/bernstein-conference/2019/satellite-work…> Deadline for submission of Workshop Proposals: March 27, 2019, 3 pm CET (Deadline will not be extended!) For further information about the conference, please visit the conference website www.bernstein-conference.de<http://www.bernstein-conference.de> Contact: bernstein.conference(at)fz-juelich.de We are looking forward to seeing you in Berlin! Workshop Selection Committee: Tatjana Tchumatchenko (Workshop Chair) Tim Vogels (Workshop Vice Chair) Danielle Bassett Alexander Borst Alain Destexhe Tim Gollisch Máté Lengyel Stephanie Palmer Elad Schneidman (Program Vice Chair) Susanne Schreiber (Program Chair) Terry Sejnowski Sara Solla Henning Sprekeler (Conference Chair and Host) Gina Turrigiano -- 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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SUMMER SCHOOL ON COGNITIVE FOUNDATIONS OF ECONOMIC BEHAVIOR
by Rava A. da Silveira March 7, 2019

March 7, 2019

*SUMMER SCHOOL ON* *COGNITIVE FOUNDATIONS OF ECONOMIC BEHAVIOR* *FRI June 28 to SUN July 7, 2019* *Sponsored by the NOMIS Foundation and the* *Alfred P. Sloan Foundation* >From the evening of Friday June 28 to noon of Sunday July 7, 2019, the second Summer School on Cognitive Foundations of Economic Behavior will take place in Vitznau, Lake Lucerne, Switzerland ( http://www.floraalpina.ch/en/hotel.html) The last 2.5 days of the Summer School consist of a workshop in which leading international researchers will present their recent findings in this area of research. The purpose of the first six days of the Summer School is to introduce graduate students and beginning researchers in economics and related disciplines to findings and methods from economics, psychology and neuroscience that allow features of human attention and perception to be taken into account when modeling economic behavior. The Summer School is part of an initiative sponsored by the Alfred P. Sloan Foundation and the NOMIS Foundation, pursuing the idea that many well-documented but seemingly disparate behavioral phenomena – such as framing effects, anchoring or base-rate neglect, as well as hyperbolic discounting, probability weighting or overconfidence – may have a unified explanation in terms of imperfect attention and perceptual error. The co-organizers and principal faculty of the Summer Institute are Andrew Caplin (NYU), Ernst Fehr (University of Zurich), and Michael Woodford (Columbia University), who will be in attendance for the full program. Teaching faculty will also include Peter Dayan (Max Planck Institute for Biological Cybernetics, Tubingen), Sam Gershman (Harvard), George Loewenstein (Carnegie Mellon), Weiji Ma (NYU), Antonio Rangel (CalTech), Rava Azeredo da Silveira (ENS, Paris), Andrei Shleifer (Harvard), Dmitry Taubinsky (UC Berkeley), and Angela Yu (UC San Diego). The program will include lectures and tutorials about economic models of biases resulting from inattention, imperfect memory and other forms of cognitive imprecision, as well as the psychological and neuroscientific foundations and empirical measurement of imperfect attention and memory. The sessions will outline evidence, principles, empirical methods and formal models that enable the examination of the consequences of imperfect attention and perception for important individual behaviors and market outcomes. The program will also provide opportunities for students to discuss their ideas and research with the organizers, visiting faculty, and other participants. Participation is restricted to Ph.D. students who by July 2019 will have completed at least one year of their doctoral program, postdoctoral researchers, and to faculty who have only started their faculty position in the fall of 2018 or later. Candidates in related disciplines (e.g., psychology, neuroscience, computational science) who have a strong interest and advanced training in formal economics are also eligible. Most participant costs during the workshop, including housing and most meals, will be covered, and a capped travel stipend (covering most but not all of anticipated travel costs) will also be provided. About twenty- five participants will be admitted. Participants will be required to complete some assigned readings in advance, and to fully attend all sessions of the program. There is no application form or program information beyond this announcement. (For interested students, schedules of previous conferences organized by the Sloan-Nomis program will give an indication of the kind of topics to be discussed, and can be found at https://wp.nyu.edu/sloan_nomis_project/home/events/.) To apply, send (i) a curriculum vitae, (ii) a statement (maximum three pages) describing any current research, and the general nature of your interest in the cognitive foundations of economics, (iii) an (unofficial) course/grade transcript, and (iv) two letters of recommendation from faculty advisors. All applications must include an e-mail and an alternative means of contact (e.g., phone number). Send your curriculum vita, statement, and course/grade transcript (all collapsed into a *single *pdf file) to Sloan-Nomis-Summerschool(a)econ.uzh.ch. Ask your recommenders to send their letters to the same email address, with the following subject line: *Sloan-Nomis recommendation letter for APPLICANT NAME. *We anticipate a large pool of highly qualified applicants and to make final decisions quickly, so applications and letters must be received by the deadline. *Complete applications, including letters of recommendation, must be received by Sunday, March 17. *We will notify applicants solely through e-mail, by Monday, April 1, and will ask participants to confirm their participation soon thereafter. Inquiries can be sent to Sloan-Nomis-Summerschool(a)econ.uzh.ch.

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Neuromodulation of Neural Microcircuits NM² conference, 24-26 May 2019
by Srikanth Ramaswamy March 6, 2019

March 6, 2019

Dear All, We are delighted to announce the second Neuromodulation of Neural Microcircuits NM² conference on May 24 – 26, in Champéry, Switzerland. Click here for the Conference website<https://nm2.epfl.ch/> The overarching goal of the second NM² Conference is to provide a unifying and mechanistic view by which an ever-increasing number of neuromodulators, including monoamines, and peptides – the master switches – control genes, proteins, neurons and glia, dendrites, synapses, and emergent states in neural microcircuits across different brain regions in health and disease. Building such a mechanistic view of neuromodulation encounters several fundamental challenges to consider: 1. How do sensory signals, internal brain states, and computations in microcircuits, trigger the release of specific neuromodulators? 2. How do neuronal assemblies and larger brain circuits respond to neuromodulators? 3. How do neuromodulators shape synaptic plasticity and brain states? To this end, the NM² Conference will bring together researchers to bridge a variety of disciplines using state-of-the-art techniques in different brain regions, towards the common goal of understanding the mechanisms and principles of neuromodulation and addressing the challenges above. Our fundamental objective is to organize a dynamic conference that will highlight an up-to-date view of the neuromodulation of brain states, establish future directions, and attract new talent to drive forward this important field. REGISTRATION To register for the Conference, please click here<https://nm2.epfl.ch/registration/> Please register as soon as possible; only a limited number of seats are available. POSTER ABSTRACTS When submitting an abstract PhD students and Postdocs are encouraged to apply for Blue Brain travel awards to participate in the NM2 Conference. Awards, which are only open to those who submit abstracts, include registration for the Conference (including accommodation and full board), and travel support. Some of the submitted abstracts will be selected for flash talks. Please feel free to contact Dace Stiebrina<mailto:mailto:dace.stiebrina@epfl.ch> should you have any questions concerning the conference. Looking forward to seeing many of you there! Best, Srikanth ------------ Dr. Srikanth Ramaswamy Senior Scientist - Neuromodulation of Cells and Circuits EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH 1202, Geneva, Tel: +41 21 693 9633 Fax: +41 21 693 5350 www: people.epfl.ch/srikanth.ramaswamy<http://people.epfl.ch/srikanth.ramaswamy>

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Computational Neuroscience Faculty position at Bristol University
by Conor Houghton March 6, 2019

March 6, 2019

In the Department of Computer Science at the University of Bristol we are seeking to appoint a faculty member in Computational Neuroscience and Machine Learning at Lecturer or Senior Lecturer level, comparable to Assistant or Associate Professorship level. http://bit.ly/Bristol_neuro_job Candidates are sought with expertise in computational neuroscience or computational cognitive science and preference will be given to candidates whose research interests emphasise the parts of our discipline that are informed by, or relate, to machine learning. The University of Bristol is a significant centre for both computational neuroscience and machine learning and a leader in experimental, clinical and cognitive neuroscience. There is a robust tradition of collaboration between experimental and computational neuroscientists. Bristol itself is a friendly green coastal city with a rich and lively cultural scene and has consistently been voted one of the best places to live in the UK. You are welcome to contact one of us (conor.houghton||cian.odonnell||rui.costa)(a)bristol.ac.uk, or our head of department Seth Bullock, seth.bullock(a)bristol.ac.uk, to discuss the post informally. The closing date for applications is 31 March, with interviews in late May. We value diversity and are committed to equality of opportunity. All the best Conor Houghton Cian O'Donnell Rui Ponte Costa http://www.bristol.ac.uk/engineering/research/computational-neuroscience/

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The Neuron School - Basic Computational Neuroscience in Alghero - ITALY
by Sergio Solinas March 5, 2019

March 5, 2019

**Apologies for cross-posting** [All details about this school can be found online at The NEURON School Initiative <http://neuronschool.org/>] The Department of Biomedical Sciences at the University of Sassari is excited to announce *the second edition* of *The NEURON School* on Computational Neuroscience. This *one-week* school will introduce to the use of the simulation environment NEURON and related software to build brain models starting from experimental data up to their applications. - The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. - We will explore the best practices to build sound computational models of ion channels and synaptic receptors. - The school will cover how these models can be constructed based on the principles of biological tissue growth in simulations. We welcome applications from all interested full graduate, Ph.D. students, and PostDocs in a variety of fields from biology, neurobiology, and psychology, to physics, engineering, and mathematics, and industry professionals with relevant background. Applicants are expected to have a good background in their discipline, interest in neuroscience, and some knowledge (even basic) of computer programming. *Format*: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by Senior Scientists. *Date and Location:* April 29th to May 3rd, 2019 at the Porto Conte Research Center <http://www.portocontericerche.it/en> within the Science and Technology Park of Sardinia and at the Hotel Catalunya <http://www.hotelcatalunya.it/en/>, Alghero - Sardinia (ITALY). Application Deadline: 14th April 2019 Applications: Please visit *http://neuronschool.org/ <http://neuronschool.org/>*, where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact enrico(a)uniss.it We look forward to your registration and to welcome you in Alghero!

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Full-time research technician at the University of Vienna
by Moritz Grosse-Wentrup March 4, 2019

March 4, 2019

Dear Colleagues: I am setting up a new research group at the University of Vienna and have an open (full time and, following a successful evaluation after one year, open-ended) position for a research technician.Besides general IT-support, the primary task of the research technician would be to maintain our EEG lab. I would appreciate if you could pass on the ad to potential candidates: https://tinyurl.com/y2ll2ak5 Informal inquiries should be sent to moritz.grosse-wentrup(a)univie.ac.at. Thanks, Moritz -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at

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Fruit Fly Brain Hackathon 2019
by Yiyin Zhou March 4, 2019

March 4, 2019

Fruit Fly Brain Hackathon 2019 FFBH 2019 <http://fruitflybrain.org/hackathons>March 20, 2019Columbia University, New York, NY 10027 The 4th Fruit Fly brain Hackathon (FFBH 2019) will be held on Wednesday, March 20, 2019. The goal of the hackathon is to bring together researchers interested in developing executable models of the fruit fly brain. In this year’s hackathon, we will focus on the FlyBrainLab <http://www.bionet.ee.columbia.edu/research/ffbo/fbl> (FBL), a newly developed interactive computing platform for studying the function of executable circuits constructed from fly brain data. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. We welcome researchers working on the fruit fly brain as well as those working on other model organisms to participate and broaden the discussion in the hackathon. The Fruit Fly Brain Hackathon 2019 is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation <http://fruitflybrain.org/workshops.html> on March 21-22, 2019. Participants of the hackathon are welcome to attend the workshop. Registration is free but all participants have to register <https://ffbh2019.eventbrite.com/>. (*https://ffbh2019.eventbrite.com/ <https://ffbh2019.eventbrite.com/>*). Organizers: Tingkai Liu, Department of Electrical Engineering, Columbia University Mehmet Kerem Turkcan, Department of Electrical Engineering, Columbia University Chung-Heng Yeh, Department of Electrical Engineering, Columbia University Yiyin Zhou, Department of Electrical Engineering, Columbia University More information can be found on the hackathon website: http://fruitflybrain.org/hackathons ------------------------------------------------------------------------------ Best Regards, Yiyin Zhou, on behalf of the organizers -- Yiyin Zhou Associate Research Scientist Bionet Group: www.bionet.ee.columbia.edu Department of Electrical Engineering Columbia University

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12ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 2—7 September, 2019
by Jakob Jordan March 4, 2019

March 4, 2019

12ᵗʰ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the University of Camerino https://python.g-node.org Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 2–7 September, 2019. Camerino, Italy. Application =========== You can apply online: https://python.g-node.org/wiki/applications Application deadline: 23:59 UTC, 26 May, 2019. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://python.g-node.org/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Tidy data analysis and visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Caterina Buizza, Personal Robotics Lab, Imperial College London, UK • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark • Juan Nunez-Iglesias, Bioimage Analysis Research Fellow, Monash University, Australia • Nelle Varoquaux, Department of Statistics, UC Berkeley, CA, USA • Pamela Hathway, Neural Reckoning, Imperial College London, UK • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node), Germany: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany • Caterina Buizza, Personal Robotics Lab, Imperial College London, UK • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw, Poland • Jakob Jordan, Department of Physiology, University of Bern, Switzerland For the University of Camerino, Italy: • Barbara Re, Computer Science Division, School of Science and Technology, University of Camerino Italy Website: https://python.g-node.org Contact: python-info(a)g-node.org

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 21-22, 2019
by Aurel A. Lazar March 3, 2019

March 3, 2019

http://fruitflybrain.org/workshops.html Aurel http://www.bionet.ee.columbia.edu

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Discovering dynamic functional networks in the human neonatal brain with electric source imaging
by Steve Mehrkanoon March 2, 2019

March 2, 2019

Dear Colleagues, We announce new findings in the human brain dynamics: Title: Discovering dynamic functional networks in the human neonatal brain with electric source imaging <http://biorxiv.org/cgi/content/short/545616v1?rss=1> https://www.biorxiv.org/content/10.1101/545616v1?rss=1 Kind regards Steve Dr Steve Mehrkanoon Senior Mathematical Neuroscientist, The University of Queensland Advance Queensland Research Fellow, Home: http://researchers.uq.edu.au/researcher/14135 [UQEmailBannerGeneric]

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EXTENSION: CNS*2019 Call for Abstracts
by Sharon Crook March 1, 2019

March 1, 2019

The abstract submission deadline for CNS*2019 has been extended to Monday March 11, 2019, 11:00 pm Pacific Time. Please remember to renew your OCNS membership and register for the meeting prior to abstract submission. CNS*2019 Call for Abstracts Organization for Computational Neurosciences (OCNS) 28th Annual Meeting Barcelona, Catalonia, Spain July 13-17, 2019 Local Organizers: Alex Roxin, Klaus Wimmer, Albert Compte, Jaime de la Rocha, Gemma Huguet Ramon The main meeting begins the evening of Saturday July 13 and runs through Tuesday July 16. It will be preceded by a day of tutorials (Saturday July 13) and followed by workshops (Tuesday July 16 mixed with the main meeting and Wednesday July 17 workshops only). Invited Keynote Speakers: Ed Bullmore, University of Cambridge Kenji Doya, Okinawa Institute for Science and Technology Mavi Sanchez-Vives, Universitat de Barcelona Ila Fiete, University of Texas Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the checkbox on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_259… Abstract Submission: https://www.cnsorg.org/cns-2019-abstract-submission For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2019-quick -------------------------------------------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org

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Postdoctoral position in cortical circuit modelling (Krembil Centre for Neuroinformatics)
by Etay Hay March 1, 2019

March 1, 2019

Postdoctoral position in cortical circuit modelling (Krembil Centre for Neuroinformatics) Hay lab, at Krembil Centre for Neuroinformatics and the University of Toronto, is currently accepting applications for a postdoctoral position in using computational models to study the effects of cellular mechanisms on cortical circuit activity and brain recordings, in health and disease. We will simulate biophysical models of cortical circuits, constrained with data from rodents and humans, to study the effect of synaptic connectivity and dendritic ion channels on cortical circuit activity and processing. In turn, we will characterize the predicted signatures of the effects in measurable signals of cortical circuit activity, which will include the spatio-temporal propagation of neuronal spiking activity, LFP in different cortical layers, and EEG. The position will be up to 3 years, renewed yearly. Applicants should have strong and relevant peer-reviewed publications, particularly modelling studies of spiking neuronal networks (conductance-based or integrate-and-fire), and experience in using NEURON and Matlab. Hay lab is located at Krembil Centre for Neuroinformatics (KCNI), which is part of the Centre for Addiction and Mental Health (CAMH). The centre is fully affiliated with the University of Toronto, and is situated at the downtown campus. Neuroscience research at KCNI offers a unique environment that is both specialized and collaborative, spanning computational genomics, brain circuits, whole-brain networks, and behavior. Interested applicants should send their CV to Dr. Etay Hay, at: etay.hay(a)camh.ca Etay Hay, PhD Independent Scientist, Krembil Centre for Neuroinformatics, CAMH Assistant Professor, Department of Psychiatry, University of Toronto www.haybrainlab.com CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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Postdoctoral positions in computational neuroscience and artificial intelligence
by Maxim Bazhenov March 1, 2019

March 1, 2019

Applications are invited for post-doctoral research positions in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study memory and learning and to develop neuroscience inspired computer algorithms capable of continual learning and adapting to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton (UC Irvine). The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and apply these principles to the artificial systems to enable continuous learning without catastrophic forgetting. The successful candidate will collaborate with a team of researchers to design neural network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation in sleep and awake based on experimental data. These models will be used to derive learning principles that can be combined with advances in artificial intelligence and machine learning. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning, or, alternatively, experience in machine learning algorithms and some basic knowledge of neuroscience. Experience with hierarchical learning, reinforcement learning, and/or goal-directed decision-making would be particularly helpful. 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/

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PhD fellowships in Neuroscience at Unipd
by Samir Suweis March 1, 2019

March 1, 2019

The Padova Neuroscience Center (http://pnc.unipd.it/ <http://pnc.unipd.it/admission/>) is delighted to announce its second call for at least 10 fully funded PhD fellowships in Neuroscience at the University of Padova. The multidisciplinary PhD program includes research lines and methods from Imaging, Cellular, Cognitive, Translational and Computational Neuroscience. The time-frame for the application is 8th of April-10th of May 2019 (at 1 pm). The details for the application will be published on the 8th of April at: http://pnc.unipd.it/admission/ <http://pnc.unipd.it/admission/>. Stay tuned! Interested candidate can also contact me suweis(a)pd.infn.it <mailto:suweis@pd.infn.it> for further information. Please forward this message to collaborators and students. Thanks **** Padova University is one of the oldest and most prestigious universities in Europe - established in 1222. The University of Padova invests significantly in research activities and projects. Padova, is a small and beautiful town, shaped around the University. Low living costs, great food, and you can bike everywhere! 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 71 74 www.pd.infn.it/~maritan/people/Samir/samir.html

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Workshop: Structure and disorder: From random connections to functional circuits, July 10-12 2019, Göttingen
by Rainer Engelken March 1, 2019

March 1, 2019

Dear Colleagues, We are pleased to draw your attention to the fourth edition of the workshop on advanced methods in theoretical neuroscience. The programme is intended for the exchange of new approaches and methods, and presentations that will spark new ideas for future developments. Please see the details below or at https://www.neuro-theory.org/ Best regards, Viola Priesemann, Rainer Engelken, Farzad Farkhooi and Jonathan Kadmon *Structure and disorder: From random connections to functional circuits* July 10-12, 2019, Göttingen (Tutorials: July 9th) https://www.neuro-theory.org/ This workshop will focus on the inherent difficulties of studying the underlying dynamics that guide the synaptic organization in neuronal circuits. The forum is intended for researchers to not only share results but also survey and discuss recent advances in methods and to pinpoint limitations of the existing theoretical tools. These exchanges will be complemented by poster presentations from students and postdocs. A day of tutorial sessions will be held prior to the main meeting, covering some of the background and methods discussed in the workshop. ** Confirmed speakers ** Yashar Ahmadian (Oregon) Nicolas Brunel (Duke) Carson C Chow (NIH) Carina Curto (Penn State) Julijana Gjorgjieva (MPI Brain, Frankfurt) Valerio Mante (University of Zurich) Francesca Mastrogiuseppe (UCL-Gatsby Unit) Raoul Martin Memmesheimer (Universität Bonn) Andreas Neef (Göttingen) Cengiz Pehlevan (Harvard) Kanaka Rajan (Mount Sinai) Maria V. Sanchez-Vives (Barcelona) Silvia Scarpetta (Salerno) Elad Schneidman (Weizmann Institute) Jordi Soriano (Barcelona) Tali Tishbi (Hebrew University) ** Registration ** Accepting application through April 30. Space is limited. Preference will be given to presenting authors (posters) and by order of application so early registration is encouraged. A small fee of 50 Euro (+ 20 Euros for tutorials) will be collected upon confirmation. Apply now <https://goo.gl/forms/JEJWuWO1wnutYwJh1> ** Tutorials ** The tutorials will be held prior to the main meeting on July 9, 2019. The tutorials aim to introduce some mathematical techniques relevant to the workshop talks. ** Poster submission/short talks ** Poster submissions are highly encouraged. Presenting authors will receive higher priority for acceptance. Some abstracts may be selected for short or full talks in the workshop. Organizers: Viola Priesemann (MPI for Dynamics and Self-Organization, Goettingen) Rainer Engelken (Columbia University) Farzad Farkhooi (Technische Universität Berlin) Jonathan Kadmon (Stanford University) -- ************************************************************* Rainer Engelken Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University m: 9178648856 pgp fingerprint: F94E 83D9 77AB 76F6 15E9 1503 3AD6 FCDC 410B 14F2 re2365(a)columbia.edu ctn.zuckermaninstitute.columbia.edu *************************************************************

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