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Complex Oscillatory Systems conference AMCOS, Barcelona March 2018 - 1 week until abstract submission deadline!
by AMCOS Conference Dec. 13, 2017

Dec. 13, 2017

*ONLY 1 WEEK UNTIL ABSTRACT SUBMISSION DEADLINE* *AMCOS – ANALYSIS AND MODELING OF COMPLEX OSCILLATORY SYSTEMS* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying TUTORIALS by leading experts will interactively introduce the different conference themes. Do you want to present your work? *Abstract submission deadline is in 1 week**.* More info at amcosconference.com. *DATE AND VENUE* March 19, 2018 March 20 - 23, 2018 PRBB <http://www.prbb.org/>, Biomedical Research Park of Barcelona *KEYNOTE SPEAKERS* - Leon Glass, - Damian H. Zanette. *LIST OF SPEAKERS (*TBC)* - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Albert Díaz-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Sonja Grün, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao, - Diego Pazó , - Juan G. Restrepo , - Alex Roxin, - Tilo Schwalger. *TOPICS COVERED* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *TUTORIALS* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. ORGANIZERS The doctoral students (Early Stage Researchers <http://www.uni-potsdam.de/cosmos-itn/people/early-stage-researchers-esrs/>) of the H2020 Marie Curie project COSMOS <http://www.uni-potsdam.de/cosmos-itn/>. For further information see amcosconference.com or contact us via e-mail <amcosconference(a)upf.edu>. Please forward to anyone interested. Follow us on social media. Twitter: @amcosconference <https://twitter.com/amcosconference> Facebook: amcosconference <https://www.facebook.com/amcosconference/>

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RaPID-2 2018 Workshop @ LREC: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments
by Dimitrios Kokkinakis Dec. 13, 2017

Dec. 13, 2017

[Apologies if you receive multiple copies] *2nd Call for Papers* RaPID 2018: "*Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments*" Half-day workshop at LREC2018 | Miyazaki, Japan | May 8th, 2018 Submission deadline: January 14th, 2018 (see also Important dates below) RaPID website: <https://spraakbanken.gu.se/eng/rapid-2018> The RaPID 2018 Workshop will follow up on the successful RaPID Workshop @ LREC2016 (<https://spraakbanken.gu.se/eng/rapid-2016>) *CALL FOR PAPERS:* RaPID-2018 will be an interdisciplinary forum for researchers to share information, findings, and experience on the creation and processing of data acquired or produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, Parkinsons or schizophrenia. Particularly, the workshop focus on the creation, annotation, description, processing and analysis of linguistic, paralinguistic and extra-linguistic resources (e.g., spontaneous spoken language; audio-recorded samples and transcripts; eye tracking measurements; wearable and in-situ sensor data etc.) from individuals at various stages of these impairments and with varying degrees of severity in order to identify, extract, process, correlate, evaluate and disseminate various linguistic phenotypes and measurements and thus aid the diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations (e.g., acoustic measures; phonological, syntactic and semantic features; eye tracking measurements; sensors, signs and multimodal signals). Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. *TOPICS OF INTEREST:* The topics of interest for the workshop session include but are not limited to: - Building, adapting and availability of linguistic resources, data sets and tools - Data collection methodologies - Acquisition and combination of novel data samples - Guidelines, annotation schemas, annotation tools - Addressing the challenges of representation, including dealing with data sparsity and dimensionality issues, feature combination from different sources and modalities - Domain adaptation of NLP tools - Acoustic/phonologic/phonetic, syntactic, semantic and pragmatic/discourse analysis of data; including modeling of perception (e.g. eye-movement measures of reading) and production processes (e.g. recording of the writing process by means of digital pens, keystroke logging etc.); use of gestures accompanying speech and non-linguistic behavior - Modeling and deep / machine learning approaches for early diagnostics, prediction, monitoring, classification etc. of various cognitive and psychiatric impairments - Information fusion - Evaluation of the significance of features in diagnostics - Evaluation of tools, systems, components, metrics, applications and technologies including methodologies making use of NLP - Evaluation, comparison and critical assessment of resources - Digital platforms/technologies for cognitive assessment and brain training - Involvement of medical/clinical professionals and patients - Ethical and legal questions in research with human data in the domain, and how they can be handled - Deployment - Experiences, lessons learned and the future of NLP/AI in the area *SUBMISSION DETAILS:* Papers are invited in all of the areas outlined in the Topics of interest, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, NLP, and computer science. We welcome also papers discussing problems derived from the design of relevant data samples and populations, but also the exploitation of results and outcomes as well as legal and ethical questions on how to deal with such data and make it available. The workshop solicits papers describing original research. Papers may preferably describe substantial and completed work, but may also focus on a contribution, a negative result, an interesting application nugget, a software package, a small, focused contribution *or* work in progress. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research and challenges by bringing together researchers from various research communities. RaPID-2018 will be a half-day LREC workshop to be held in the afternoon of Tuesday the 8th of May 2018. The oral presentations will be allocated 10-20 minutes (please see the program for details), possibly, followed by a common poster session (depending on the volume of received submissions). Submitted papers must be formatted according to the camera-ready style for LREC 2018 (style guidelines, templates etc. for the camera-ready papers are provided on LREC's main conference page/Submission), and submitted electronically in PDF format through the START conference manager page < https://www.softconf.com/lrec2018/RAPID-2/>. Authorship does not have to be anonymous and *papers should be 4-8 pages of content*. Additional, unlimited pages containing the list of references and appendices are allowed. We will strive to have all submissions reviewed by at least three, or more, members of the program committee. Depending on the volume of contributions, papers that describe systems or tools will be invited to give a demo of their system during a poster session. *IMPORTANT DATES:* - Second call for papers: 13th of December, 2017 - Submission deadline: Sunday 14th of January, 2018 - Notification of acceptance: Saturday 10th of February, 2018 - Early-bird registration for the main conference *and* workshops is the 15th of February, 2018 - Camera-ready papers: Sunday 10th of March 2018 - RaPID Workshop: Tuesday 8th of May, 2018 *CONTACT:* Dimitrios Kokkinakis: dimitrios _DOT_ kokkinakis _AT_ gu _DOT_ se *INVITED SPEAKER:* Yasunori Yamada, PhD. Aging Research, IBM Research - Tokyo. *ORGANIZING COMMITTEE:* - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Kristina Lundholm Fors, University of Gothenburg, Sweden - Kathleen Fraser, University of Gothenburg, Sweden - Charalambos Themistocleous, University of Gothenburg, Sweden - Graeme Hirst, University of Toronto, Canada - Alexandra König, Geriatric Hospital Nice and the University of Côte d'Azur, France - Frank Rudzicz, Toronto Rehabilitation Institute and the University of Toronto, Canada *PROGRAMME COMMITTEE**:* - Osvaldo Agamennoni, Universidad Nacional del Sur, Argentina - Jan Alexandersson, DFKI GmbH, Germany - Eiji Aramaki, Kyoto University, Japan - Heidi Christensen, University pf Sheffield, UK - Simon Dobnik, University of Gothenburg, Sweden - Marie Eckerström, University of Gothenburg, Sweden - Jens Edlund, KTH - Royal Institute of Technology, Sweden - Gerasimos Fergadiotis, Portland State University, USA - Kathleen Fraser, University of Gothenburg, Sweden - Peter Garrard, St George's, University of London, UK - Lena Hartelius, the Sahlgrenska Academy, University of Gothenburg, Sweden - Graeme Hirst, University of Toronto, Canada - Kristy Hollingshead, Florida Institute for Human & Machine Cognition (IHMC), USA - Richard Johansson, University of Gothenburg, Sweden - Masatomo Kobayashi, IBM Research, Tokyo, Japan - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Alexandra König, Geriatric Hospital Nice and the University of Côte d'Azur, France - Peter Ljunglöf, Chalmers University of Technology, Sweden - Kristina Lundholm Fors, University of Gothenburg, Sweden - Marcus Nyström, University of Lund, Sweden - Paul Rayson, Lancaster University, UK - Vassiliki Rentoumi, SKEL, NCSR Demokritos, Greece - Fabien Ringeval, Université Grenoble Alpes, France - Frank Rudzicz, Toronto Rehabilitation Institute and the University of Toronto, Canada - Kairit Sirts, University of Tartu, Estonia - Hironobu Takagi, IBM Research, Tokyo, Japan - Charalambos Themistocleous, University of Gothenburg, Sweden - Athanasios Tsanas, University of Oxford, UK - Magda Tsolaki, Aristotle University of Thessaloniki, Greece - Spyridoula Varlokosta, National and Kapodistrian University of Athens, Greece - Åsa Wengelin, University of Gothenburg, Sweden - Yasunori Yamada, IBM Research, Tokyo, Japan ------------------------------ ------------------------------

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BRAIN Initiative Fellows: Ruth L. Kirschstein National Research Service Award (NRSA) Individual Postdoctoral Fellowship (F32)
by Michele Ferrante Dec. 12, 2017

Dec. 12, 2017

The NIH has reissued a postdoctoral funding opportunity through the BRAIN Initiative to encourage applications from those with quantitative backgrounds including physics, math, chemistry, etc. Please share this information widely. *BRAIN Initiative Fellows: Ruth L. Kirschstein National Research Service Award (NRSA) Individual Postdoctoral Fellowship (F32)* - Purpose is to enhance research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. - Applications must be relevant to one or more goals of the BRAIN 2025 <https://braininitiative.nih.gov/pdf/BRAIN2025_508C.pdf> report, including neuroethics. - Formal training in analytical tools appropriate for the proposed research is expected to be an integral component. - Eligible trainees must be must be citizens or non-citizen nationals of the United States or have been lawfully admitted for permanent residence. - On the application due date, candidates may not have completed more than 12 months of postdoctoral training, excluding well-justified leave. - Due dates: *March 15, 2018; December 7, 2018; August 7, 2019; April 7, 2020.* - *Pre-submission Webinar December 12, 2017 at 1 PM EST https://nih.webex.com/nih/onstage/g.php?MTID=e48f6b7a4f3ca4f2172c591e4838af… <https://nih.webex.com/nih/onstage/g.php?MTID=e48f6b7a4f3ca4f2172c591e4838af…>* - Contact: Ashlee Van’t Veer Brain.Initiative.Training(a)nih.gov - RFA link: https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-18-510.html

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NIH/NSF funded postdoc (U Penn/U Houston/CU Boulder)
by Zachary Kilpatrick Dec. 12, 2017

Dec. 12, 2017

We are seeking a postdoctoral fellow to join an NIH/NSF funded interdisciplinary project that includes Joshua Gold (University of Pennsylvania), Krešo Josić (University of Houston), and Zack Kilpatrick (University of Colorado, Boulder). Our aim is to understand how the brain accumulates evidence in dynamic environments. The project is guided by the overriding hypothesis that brain networks involved in decision-making computations incorporate learned expectations of the environment to implement adaptive decision-making. We seek a candidate who can work at the interface of experimental, computational, and theoretical neuroscience. As part of an interdisciplinary team, The candidate will develop models of neural circuits that approximate normative evidence accumulation in dynamic environments. The candidate will also help to validate these models, using behavioral data from humans and neural recordings from primates performing dynamic decision tasks. For further information please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)colorado.edu <mailto:zpkilpat@colorado.edu>)

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Call for Workshops - Bernstein Conference 2018
by Kerstin Schwarzwaelder Dec. 12, 2017

Dec. 12, 2017

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2018 in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 25 - 26, 2018 Main Bernstein Conference: September 26 - 28, 2018 Deadline for Satellite Workshop proposal submission: March 15, 2018 Notification of Workshop acceptance: April 2018 ************************************************************** Since 2013, the Bernstein Conference 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 Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Satellite Workshop schedule: September 25, 2018, 2:00 pm - 6:30 pm September 26, 2018, 8:30 am - noon 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. Up to 10 selected workshops can receive financial support up to 1.500,00 € each. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. 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 Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2018/satellite-workshops Deadline for submission of Workshop proposals: March 15, 2018 CONTACT: bernstein.network(at)fz-juelich.de We are looking forward to seeing you in Berlin! WORKSHOP SELECTION COMMITTEE: Jakob Macke (Workshop Chair) Tatjana Tchumatchenko (Workshop Vice Chair) Axel Borst Nicolas Brunel Anne Churchland Claudia Clopath Gaute Einevoll Adrienne Fairhall Gilles Laurent (Program Chair) Mate Lengyel Elad Schneidman Susanne Schreiber (Program Vice Chair) Terry Sejnowski Henning Sprekeler (Conference Host) Fred Wolf -- 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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[meetings] 2nd CFP IEEE WCCI/IJCNN Special Session: Cognition and Development
by Nikolas HEMION Dec. 11, 2017

Dec. 11, 2017

=============== CALL FOR PAPERS =============== IEEE WCCI / IJCNN 2018 Special Session: Cognition and Development 8-13 July 2018, Rio de Janeiro, Brazil Important dates: 15th January 2018 – Paper Submission 15th March 2018 – Paper Acceptance 1st May 2018 – Final Paper Submission 8-13 July 2018 – IEEE WCCI / IJCNN 2018, Rio de Janeiro, Brazil Scope and Topics The special session aims at the presentation of the latest results in the investigation of machine learning and cognitive robotics models that are taking inspiration from our understanding of sensorimotor, cognitive, and social development in humans and other animals. The aim is twofold: On the one hand, the special session provides a platform for presenting insights about the functions and processes underlying developmental learning. On the other hand, it encourages discussion of the role of developmental aspects in learning, in particular in the light of the ongoing success of deep learning methods. Relevant research questions include: – How can deep learning models be improved by including developmental processes, such as intrinsic motivation, sensorimotor exploration, or social learning and interaction? – Is current deep learning methodology suited for autonomous and open-ended learning in cognitive robots? Or will it be necessary to consider developmental processes, and if so, which ones? – What are the mechanisms that allow a child or robot to autonomously develop cognitive capabilities? – How does the social and physical environment, with which the child interacts, shape and scaffold the child’s developing cognitive skills and knowledge? And how can machine learning systems (including cognitive robots) exploit these beneficial factors? – What is the relative contribution of Nature and Nurture in the development of human and machine intelligence? – What do qualitative stages during development, and body and brain maturational changes, tell us about the mechanisms and principles supporting development? The special session also encourages submissions of relevant research on cognition and development from other disciplines, such as child psychology, developmental linguistics, neuroscience, philosophy, and interdisciplinary approaches to cognition and development. List of main topics: – developmental robotics – epigenetic robotics – developmental deep learning – neuro-robotics – bio-inspired and cognitive robotics – cognitive modelling – intrinsic motivation – sensorimotor development – cognitive development – social development – language acquisition Submission Guidelines: Please follow the general submission guidelines of the IEEE WCCI / IJCNN 2018 (see http://www.ecomp.poli.br/~wcci2018/) Please make sure to select the Special Session "Cognition and Development" as the "Main Research Topic" of your submission. Organizers: Nikolas J. Hemion, SoftBank Robotics Europe, Paris, France Anna-Lisa Vollmer, Bielefeld University, Germany Angelo Cangelosi, Plymouth University, UK Pierre-Yves Oudeyer, Inria Bordeaux, France -- Nikolas Hemion, Ph.D. Senior Researcher, AI Lab Manager SoftBank Robotics Europe 43 rue du Colonel Pierre Avia 75015 PARIS http://nikolas.hemion.org/ -- *This email and any attachment thereto are confidential and intended solely for the use of the individual or entity to whom they are addressed.If you are not the intended recipient, please be advised that disclosing, copying, distributing or taking any action in reliance on the contents of this email is strictly prohibited. In such case, please immediately advise the sender, and delete all copies and attachment from your system.This email shall not be construed and is not tantamount to an offer, an acceptance of offer, or an agreement by SoftBank Robotics Europe on any discussion or contractual document whatsoever. No employee or agent is authorized to represent or bind SoftBank Robotics Europe to third parties by email, or act on behalf of SoftBank Robotics Europe by email, without express written confirmation by SoftBank Robotics Europe’ duly authorized representatives.* ------------------------------ *Ce message électronique et éventuelles pièces jointes sont confidentiels, et exclusivement destinés à la personne ou l'entité à qui ils sont adressés.Si vous n'êtes pas le destinataire visé, vous êtes prié de ne pas divulguer, copier, distribuer ou prendre toute décision sur la foi de ce message électronique. Merci d'en aviser immédiatement l'expéditeur et de supprimer toutes les copies et éventuelles pièces jointes de votre système.Ce message électronique n'équivaut pas à une offre, à une acceptation d’offre, ou à un accord de SoftBank Robotics Europe sur toute discussion ou document contractuel quel qu’il soit, et ne peut être interprété comme tel. Aucun employé ou agent de SoftBank Robotics Europe n'est autorisé à représenter ou à engager la société par email, ou à agir au nom et pour le compte de la société par email, sans qu’une confirmation écrite soit donnée par le représentant légal de SoftBank Robotics Europe ou par toute autre personne ayant reçu délégation de pouvoir appropriée.*

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Postdoctoral position at Brandeis in theoretical neuroscience
by Jonathan Touboul Dec. 10, 2017

Dec. 10, 2017

A postdoctoral position is available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net <http://mathematical-neuroscience.net/> <http://mathematical-neuroscience.net/ <http://mathematical-neuroscience.net/>>). The techniques we employ rely on dynamical systems (with delays, multiple timescales, nonlocal terms or jumps) and stochastic processes (statistical physics), and our research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. All projects will involve heavy collaboration with experimental groups in the Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ <http://www.brandeis.edu/departments/mathematics/> <http://www.brandeis.edu/departments/mathematics/ <http://www.brandeis.edu/departments/mathematics/>>) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ <http://www.bio.brandeis.edu/> <http://www.bio.brandeis.edu/ <http://www.bio.brandeis.edu/>>). Opportunities to teach in the math department could be available and are encouraged! Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. Applications from under-represented groups are strongly encouraged. Candidates should send their applications through MathJobs with a CV, a cover letter indicating their research interests and professional goals: https://www.mathjobs.org/jobs/jobs/11351 <https://www.mathjobs.org/jobs/jobs/11351> <https://www.mathjobs.org/jobs/jobs/11351 <https://www.mathjobs.org/jobs/jobs/11351>> Best wishes, Jon http://mathematical-neuroscience.net <http://mathematical-neuroscience.net/>

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4-year postdoc position in neural systems modelling at the University of Oslo
by Gaute Einevoll Dec. 9, 2017

Dec. 9, 2017

Postdoctoral Research Fellowship in Neural Systems Modelling Position as postdoctoral research fellow available at the Department of Bioscience at the University of Oslo. The fellowship period is 4 years, with 25 % compulsory work. Anticipated start date is 01.02.2018. Project description: We study neural processing and plasticity of neural circuits at multiple levels, from the morphological changes at the synapse to functional changes of network activity in behaving animals. The position will be part of the project 'BrainMatrix' funded by the Norwegian Research Council, and seeks to explore the biophysical and physiological roles of perineuronal nets (PNNs) in neuron information processing and plasticity. PNNs are extracellular protein complexes thought to act as long-lasting synaptic anchors, thereby defining stable structural and functional connectivity in widespread but discrete regions of the brain. The entire BrainMatrix project is built on interdisciplinary principles and will involve strong interaction between mathematical modelling and experimental goals across the levels of investigation. As such, a key feature of this position will be to work between the outstanding computational and experimental groups at Simula Research Laboratory (www.simula.no)<http://www.simula.no%29/> andthe University of Oslo (www.mn.uio.no/ibv/english/research/sections/fyscell/cinpla)<http://www.mn.uio.no/ibv/english/research/sections/fyscell/cinpla)>. For this reason, the candidate should have experience in either computational neurophysiology/cell electrophysiology or experimental, and a strong desire and potential to expand their skillset to include the other discipline. Job description: We are searching to fill a 4-year full time postdoctoral, with 75% of the time devoted to research and 25% reserved for other career promoting activities such as lecturing or mentoring. The successful candidate will develop and implement models for interrogating the effects of genetic and pharmacologic manipulation of PNNs on single neuron and network function in visual and spatial information processing. The modeling approach will take advantage of tools and resources available through the Human Brain Project, and developed locally such as the NEST and LFPy simulators. The experimental goals will involve opportunities to apply or learn classical slice electrophysiology and single/multi-unit extracellular recordings, as well as advanced in vivo optical recordings and in vivo patch clamping. Within the framework of the position duties corresponding to one year of compulsory work may be assigned. For more information, including on how to apply, see: https://www.jobbnorge.no/ledige-stillinger/stilling/145487/postdoctoral-res… Deadline for application: January 10th 2018 For questions, please contact: Associate Professor Andy Edwards, phone: +47 40472451, e-mail:andrew.edwards@ibv.uio.no ********************************************** Gaute T. Einevoll Faculty of Science and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, web: compneuro.nmbu.no, cinpla.org

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PhD positions at the University of Bristol
by Tsaneva-Atanasova, Krasimira Dec. 8, 2017

Dec. 8, 2017

Wellcome Trust 4 year PhD Programme in Neural Dynamics University of Bristol Deadline for applications: Sunday 7 January 2018 Why investigate neural dynamics? A vital key to comprehending the brain is to understand how the complex changes in activity occurring at all levels of neural organization give rise to normal brain function. Furthermore, an understanding of normal brain activity will allow us to investigate abnormalities of neural dynamics that underlie many neurological and psychiatric disorders (e.g. epilepsy, Parkinson’s disease, schizophrenia). Understanding neural dynamics<https://www.findaphd.com/common/clickCount.aspx?theid=602&type=185&url=http…> requires interdisciplinary approaches that span many neuroscience areas, but crucially, also depends on the integration of experimental and clinical approaches with mathematical and computational expertise. This PhD programme trains a future generation of neuroscientists to successfully combine experimental and theoretical techniques in their research. Structure of the programme First year: students attend taught courses to gain an understanding of the biology of the nervous system and the ability to describe systems dynamics in mathematical models. Students carry out two extended research projects, each investigating dynamics in a different neural system. Each project is co-advised by one experimental or clinical neuroscientist and one mathematician or computer scientist. Subsequent years: Students develop one of the initial projects into a PhD project for the remaining 3 years. Who are we looking for? Applicants will have a 1st class/2.1 degree or a Masters in a biomedical science discipline or a relevant theoretical discipline (mathematics, computer science or physics). Crucially, we are looking for talented and motivated students willing to take up the many challenges in neural dynamics and who are open to learning about new disciplines and working across different fields. Why study at Bristol? Bristol has one of the largest concentrations of neuroscientists in Europe and is a major centre for basic and clinical neuroscience. The University of Bristol is an acknowledged world leader in many key areas of neural dynamics from both an experimental and theoretical perspective: Our research spans molecular, cellular and systems levels of neuroscience. Together with experts in systems dynamics, based in the Departments of Engineering Mathematics, Mathematics, Computer Science and the Bristol Robotics Lab we can provide considerable scope for ground breaking integrative research projects. How to apply: Application process: Please apply online at www.bris.ac.uk/study/postgraduate/apply<https://www.findaphd.com/common/clickCount.aspx?theid=602&type=185&url=http…> by selecting ‘Faculty of Biomedical Sciences’ and ‘Wellcome 4-year PhD in Neural Dynamics’ Please ensure you include a CV, and two referees plus a cover letter outlining your own neuroscience interests by Sunday 7 January 2018. Please upload your covering letter into the Personal Statement section of the application form. Shortlisted applicants will be invited to an interview in late January. The Wellcome Trust provides a stipend and PhD registration fees at UK/EU student rate, research expenses, contribution towards travel and a contribution towards transferable-skills training. The Wellcome Trust does not pay fees at the overseas rate. For further information please see www.bristol.ac.uk/neural-dynamics<https://www.findaphd.com/common/clickCount.aspx?theid=602&type=185&url=http…> or contact: Lindsey Watson, Graduate Administration Manager, Faculty of Biomedical Sciences, Graduate School (Lindsey.Watson(a)bris.ac.uk)

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Scientist opening at the Allen Institute: "Simulation & Analysis of Human Circuit Dynamics"
by Costas Anastassiou Dec. 7, 2017

Dec. 7, 2017

Dear All: We are seeking a Scientist to be an essential team member in our ongoing effort to understand how the human brain processes information. The core responsibility for this position is to setup large-scale computational simulations and data analysis workflows from slice and in vivo brain physiology in humans. Find the full job description attached below. To apply for this position, apply through the link below: https://apply.hrmdirect.com/resumedirect/ApplyOnline/Apply.aspx?req_id=6535… Best, Costas -- Costas Anastassiou Assistant Investigator T: 206.548.8434 E: costasa(a)alleninstitute.org alleninstitute.org Professor (adj.) of Neurology University of British Columbia, Vancouver BC, CA http://neuroscience.ubc.ca/people/Anastassiou Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. POSITION SUMMARY We are seeking a Scientist to be an essential team member in our ongoing effort to understand how the human brain processes information. The core responsibility for this position is to setup large-scale computational simulations and data analysis workflows from slice and in vivo brain physiology in humans. More specifically, the Scientist will (i) design and conduct simulations with an existing large-scale computational framework allowing simulation of a multitude of reconstructed, interconnected and biophysically realistic human neurons (e.g. [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013]; (ii) analyze simulated and experimental data to establish structure-function relationships (e.g. [Taxidis, Anastassiou et al, Neuron, 2015]); (iii) develop dimensionally reduced representations of neural function (e.g. using machine learning or statistical data modeling) based on recorded signals (encoding) and develop methods for reconstructing! neural function from neural activity (decoding); (iv) compare computational findings with experimental observables. ESSENTIAL DUTIES AND RESPONSIBILITIES In close collaboration with theoreticians and experimental colleagues, design, implement and conduct single-neuron and large-scale network simulations of human middle temporal gyrus. Contribute to ongoing efforts in computational framework development (simulation and data analysis) as well as to scientific questions relevant to the system under investigation. Contribute to adjacent projects related to human pathophysiology and neurotherapies. Publish/present findings in peer-reviewed journals/scientific conferences. Prepare written and oral reports on a regular basis. Maintain clear and accurate communication with supervisor, team members and external collaborators. BASIC QUALIFICATIONS PhD degree in computational neuroscience, physics, applied mathematics, bioengineering or related field. Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, applied mathematics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as Python. Familiarity with in vitro and in vivo electrophysiological monitoring techniques and analysis. DESIRED QUALIFICATIONS: Ability to meet aggressive timelines and deliverables in a collaborative environment. Strong publication record. Experience in pursuing research projects in collaborative fashion. Proven independent thinking and flexibility. Strong written and verbal communication skills.

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