October 2018 - 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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[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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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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Columbia Workshop on Brain Circuits, Memory and Computation 2018
by Aurel A. Lazar Dec. 16, 2018

Dec. 16, 2018

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

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Postdoc position in Geometric Methods for Machine Learning and Deep Learning at RIST
by Luigi Malagò Dec. 14, 2018

Dec. 14, 2018

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

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Postdoc Position in Neural Data Analysis, University of Edinburgh
by Arno Onken Oct. 30, 2018

Oct. 30, 2018

The School of Informatics, University of Edinburgh, invites applications for a full-time, fixed term Research Associate position on the project "Novel techniques for stochastic modelling of time-dependent multivariate relationships with application to primary visual cortex", funded by the UK Engineering and Physical Sciences Research Council (EPSRC), and directed by Dr Arno Onken (PI). The successful candidate will contribute to the development of a new framework for analysing multi-modal and multi-scale neural recordings. Moreover, the candidate will apply this framework to analyse activity of large neural populations recorded from awake mice during a virtual reality task by experimental project partner Dr Nathalie Rochefort. Candidates should have a PhD (or near completion) in a quantitative discipline (Mathematics, Computer Science, Physics, Computational Neuroscience or related), good software development skills and a keen interest in interdisciplinary research. A background in neuroscience is desirable, but not essential. The post is full time and fixed term at UE07: £33,199 - £39,609 pa. The post is available from 1st March 2019 for 36 months until the scheduled end of the project at 28th February 2022. For further information, please visit the vacancy website at: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobs… Informal enquires can be made to Dr Arno Onken <aonken(a)inf.ed.ac.uk>. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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PhD in Cognitive Sciences at UC Irvine
by Jeff Krichmar Oct. 30, 2018

Oct. 30, 2018

Dear colleagues, The Department of Cognitive Sciences at UC Irvine has a number of openings for new graduate students starting Fall of 2019. We are in the process of expanding our graduate program, so please feel free to forward this information to any interested parties. All this information and more can be found via cogs.ci. Our department specializes in • Computational and mathematical cognitive modeling • Cognitive neuroscience • Visual and auditory perception • Attention and representation • Learning and development • Memory and language • Judgment and decision making ... and is generally strong in the use of leading technologies such as EEG, fMRI, and robotics, and of modern research tools such as computational methods, big data, and Bayesian statistics. We offer PhD degrees in Cognitive Sciences with an optional specialization in cognitive neuroscience and an optional joint degree (MS/PhD) in Statistics. We also take pride in offering excellent financial packages to our graduate students, including at least five years of guaranteed support, health insurance, research funding, and more. These positions are also open to international students with appropriate academic qualifications (i.e., a Bachelor's degree in a relevant field). This year's deadline to apply is December 1, 2018. We are happy to answer questions you or your students might have. Best, Joachim & Jeff -- Joachim Vandekerckhove Associate Professor Department of Cognitive Sciences Department of Statistics University of California, Irvine Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Faculty position at the University of Minnesota, School of Mathematics
by Duane Nykamp Oct. 30, 2018

Oct. 30, 2018

The School of Mathematics at the University of Minnesota has identified Mathematical Biology, including Computational Neuroscience, as a priority area for hiring and invites qualified candidates to apply. Current areas of focus in the department are cancer modeling, cell motility, continuum mechanics in biology, neuroscience, and stochastic processes. Application available at https://www.mathjobs.org/jobs/jobs/12436.

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Postdoctoral Position - BRAIN Initiative
by Woolnough, Oscar Oct. 29, 2018

Oct. 29, 2018

POSTDOCTORAL RESEARCH POSITIONS FUNDED BY BRAIN INITIATIVE GRANT Postdoctoral research positions are available in the lab of Nitin Tandon in Houston. This position is funded by a BRAIN Initiative U01 grant project that uses electro-corticographic (ECoG) recordings and fMRI on a large cohort (n>80) to evaluate psycholinguistic models of reading and speech production to create network level representations of language. Collaborators on the project include Greg Hickok, Stanislas Dehaene, Nathan Crone and Xaq Pitkow; the post-doc will benefit from a close interaction with these experts in the fields of reading, semantics, speech production and computational neuroscience. The selected individuals are expected to be a highly motivated team players with a passion to study cognitive processes using imaging, direct recordings and closed-loop cortical stimulation in humans. They will be responsible for 1) data collection in the epilepsy monitoring unit and in the MRI scanner 2) ECoG and/or fMRI data analysis using analysis pipelines existent in the lab and via the development of innovative analytic strategies including machine learning and AI approaches 3) data presentation at conferences and manuscript preparation. The selected individuals must have a Ph.D. in a field relating to: neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis, functional imaging studies or studies of language and speech production are desirable – but not crucial. They must possess the ability to independently code in any or all of the following: MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professionalism standards, be able to adapt to a changing environment, reorganize schedules dynamically, and work with short deadlines. A strong publication record and excellent academic credentials are highly desirable. CONTACT DR. NITIN TANDON: Nitin.Tandon(a)uth.tmc.edu<mailto:Nitin.Tandon@uth.tmc.edu> Candidates who are attending the Society for Neuroscience annual meeting at San Diego in November should reach out to schedule a meeting.

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SfN 2018 - Visit the Bernstein Network Computational Neuroscience at booth #4325
by Kerstin Schwarzwaelder Oct. 29, 2018

Oct. 29, 2018

Dear all, The Bernstein Network Computational Neuroscience will be an exhibitor at the SfN Meeting 2018. Please find us at the NEUROSCIENCE IN GERMANY booth #4325. The Bernstein Network will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities Furthermore, the German Neuroinformatics Node (G-Node) will present their data management services for organizing, sharing, and publishing research data. Demo presentations times are: Sunday, Monday, Wednesday (Nov 4, 5, 7) 10am - 12pm and 3pm - 5pm, or by individual appointment (mail to: info(a)g-node.org<mailto:info@g-node.org>). We are looking forward to welcoming you at booth #4325! Best regards, Kerstin Schwarzwaelder -- 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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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University
by Murray, John Oct. 29, 2018

Oct. 29, 2018

Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center in Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date from mid to late 2019. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a Curriculum Vitae, selected reprints, contact information for three references, and a statement of research interests including the laboratories of interest at Yale. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu> Applications will be reviewed as they are received, but priority will be given to those received on or before January 12th, 2019. For any questions, please contact John Murray<mailto:john.murray@yale.edu?subject=Swartz%20fellowship>. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. http://neurojobs.sfn.org/jobs/10584092/<https://urldefense.proofpoint.com/v2/url?u=http-3A__neurojobs.sfn.org_jobs_…> John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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Post-doctoral positions: Neurobiology of Learning and Memory in Health and Disease
by Annabelle Singer Oct. 27, 2018

Oct. 27, 2018

Post-doctoral positions available: Neurobiology of Learning and Memory in Health and Disease Description Multiple postdoctoral positions are available in the Singer lab at Georgia Institute of Technology and Emory University School of Medicine studyinghow neural activity produces memories and how stimulating neural activity affects memory and immune function in health and Alzheimer’s disease. To find out more about the Singer Lab, see our lab website http://singer.gatech.edu/ with our recent publications. Major Responsibilities: The successful applicants will examine (a) how neural activity produces memories of experiences or (b) how novel forms of non-invasive neural stimulation affects neural circuits, immune responses, and learning and memory. These projects will focus on the hippocampal circuit and related structures in health and Alzheimer’s disease using a variety of advanced neuroscience techniques. One set of projects will utilize virtual reality behavior, in vivo recordings from many single cells, histological analysis, and innovative data analysis methods in rodents. Another set of projects will use MRI, PET imaging, histological analysis, and molecular signaling assays in both rodents and human patients. This research involves collaboration with other groups at Georgia Tech and Emory and therefore a successful applicant must work well in a collaborative environment. These projects are fully funded for 3-5 years, pending satisfactory annual performance review. The projects offer significant opportunities to perform pioneering research and be trained in cutting-edge neuroscience techniques. All lab members are actively trained in scientific methods and mentored in career development. Applicants will have extensive opportunities to interact with the dynamic, exciting, and collaborative neuroscience and neuroengineering communities at Georgia Tech and Emory University in one of the most affordable and livable major cities of the US. Qualifications The ideal candidates will have a PhD in Neuroscience, Biomedical Engineering, or a related discipline and a record of leading scientific projects to completion. Previous experience with in related techniques including vivo experimentation, histology, behavior, electrophysiology, human or rodent MRI, and/or learning and memory is preferred. Candidates with experience performing advances data analysis or with quantitative backgrounds like signal processing, electrical engineering, and/or programming are encouraged to apply. Candidates should have excellent communication skills and the ability to both collaborate with a team and lead projects. How to Apply: If you meet these requirements and are interested in this position, please provide your detailed CV, a cover letter stating your research interests, and names and contact information for two or three references to Annabelle Singer: asinger(a)gatech.edu Department Description The Wallace H. Coulter Department of Biomedical Engineering at Georgia Techis part of a vibrant biomedical community in Atlanta that includes the Emory School of Medicine, Center for Disease Control and Prevention (CDC), Winship Cancer Institute, Children’s Healthcare of Atlanta (CHOA), Georgia ImmunoEngineering Consortium, Institute for Electronics and Nanotechnology, Petit Institute for Bioengineering and Bioscience, and more. This rich scientific environment provides unique and unparalleled research opportunities, including seminars given by leaders in science and engineering from throughout the U.S. and abroad, opportunities for collaborations, exposure to diverse research programs, and sophisticated core facilities. As such, we offer the best of internationally renowned institutions. The partnerships have created an outstanding undergraduate program and graduate program, now ranked No. 2 in the world. Georgia Tech is an Affirmative Action/Equal Opportunity Employer. Annabelle Singer Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive Atlanta, GA 30332 Web: http://singer.gatech.edu/ Email: asinger(a)bme.gatech.edu

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DPG Focus Session "Collective dynamics in neural networks"
by Johannes Zierenberg Oct. 26, 2018

Oct. 26, 2018

Dear all, It is our pleasure to invite you to the focus session "Collective dynamics in neural networks" at the upcoming DPG (German Physical Society) spring meeting: 31 March - 05 April 2019 Regensburg, Germany The aim of the focus session is to provide a forum for discussions on the emergence of a rich set of collective dynamics in neural networks from a physicist perspective. We want to discuss principles that determine collective dynamics as well as the transitions between them, e.g., the role of local learning rules, topology and noise. The focus session consists of two invited talks (Moritz Helias and Anna Levina), selected contributed talks, and a poster session. If you are interested, we encourage you to contribute by submitting an abstract (http://regensburg19.dpg-tagungen.de/programm/abstract) until 01.12.2018 (Bereich: BP). In any case, we welcome you to attend the focus session. Of course, you are more than welcome to share this announcement with your colleagues. Best wishes, Johannes Zierenberg and Viola Priesemann -- Dr. Johannes Zierenberg Postdoctoral Researcher Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany https://zierenberg.github.io

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Doctoral Scholarships
by Christopher Laurie Buckley Oct. 26, 2018

Oct. 26, 2018

Hi all, Our new round (2019) of Leverhulme Doctoral Scholarships ‘From Sensation and Perception to Awareness’ at the University of Sussex are now online. See, https://www.sussex.ac.uk/sensation/applications <https://www.sussex.ac.uk/sensation/applications> Please have a look at all the great projects. Among the offered projects is one with me on the free energy principle, cognition and robotics so please get in touch if your interested. Best, Chris Dr Christopher L. Buckley Senior Lecturer in Neural Computation Evolutionary and Adaptive Systems Group Sussex Neuroscience Department of Informatics and Engineering University of Sussex Falmer Brighton, UK Twitter: @drclbuckley email: c.l.buckley(a)sussex.ac.uk <mailto:c.l.buckley@sussex.ac.uk>

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Open PhD and Postoc positions in Berlin: Learning in spiking neural networks
by Gütig, Robert Oct. 25, 2018

Oct. 25, 2018

The newly formed research group "Mathematical modeling of neuronal learning", headed by Robert Gütig is seeking highly motivated researchers at the PhD and postdoctoral level to study information processing and learning in spiking neural networks. The group is funded by the Berlin Institute of Health and located at the Charité Medical School in the center of Berlin. Our close proximity to the NeuroCure Cluster of Excellence and the Bernstein Center for Computational Neuroscience facilitates close interactions between our group and Berlin’s vibrant and growing neuroscience community. We use analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in the central nervous system and to understand how these principles are implemented by biological processes. Open projects center around, but are not limited to, the recently developed tempotron family of spiking neuronal network models (e.g. Gütig & Sompolinsky 2006; Gütig 2016). The positions are available immediately. Applicants should have a strong background in physics, mathematics, computer science, computational neuroscience or a related field and a keen interest in neurobiology and machine learning. Good programming skills (e.g. in C and/or Python) are important and experience with numerical simulations highly beneficial. Previous exposure to neuroscience is preferred but not required. Applications will be considered until all positions are filled. Please send your application or questions to Robert Gütig (robert.guetig at charite.de). When applying please include a detailed CV (including degrees, current academic transcripts, and publication record) and the names and contact information of two referees.

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PhD positions in the Neural Reckoning group at Imperial College
by Dan Goodman Oct. 25, 2018

Oct. 25, 2018

One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London (http://neural-reckoning.org) I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas relating to the work in the group. Some suggestions for topics that would be interesting to me are below, but I'm very happy to consider other possibilities. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial and in the many neuroscience groups in London. Suggested areas include: * Spiking neural networks * Auditory and other sensory systems * Machine learning and neuroscience * Simulation and data analysis For more detail, see: http://neural-reckoning.org/openings.html Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (http://www.imperial.ac.uk/electrical-engineering/study/phd/) There are no strict deadlines, although chances of success are higher for earlier applications as I will consider them as they arrive. EU students from outside the UK are particularly encouraged to apply before Christmas. Funded offers made before Brexit day (March 29) will be honoured by Imperial no matter what happens in the Brexit negotiations, and the last funding panel meeting before that will probably be in early February. So, applying before Christmas means we will have time to process the application and arrange an interview before that meeting. Imperial College requirements: * General requirements: https://www.imperial.ac.uk/study/pg/apply/requirements/ * Country-specific minimum grades: https://www.imperial.ac.uk/study/pg/apply/requirements/pgacademic/ Dan Goodman

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SoAIR 2019: IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots" in Japan
by Amir Aly Oct. 25, 2018

Oct. 25, 2018

CALL FOR APPLICATIONS **Apologies for cross posting ** We are pleased to call for applications for the IEEE-RAS spring school on: "*Social and Artificial Intelligence for User-Friendly Robots*" * Which will be held from 17-24 March, 2019 in Shonan Village, Japan *after the Human-Robot Interaction (HRI) conference that will be held in the near South Korea. *Webpage: **https://inic8.bitbucket.io/SoAIR19/* <https://inic8.bitbucket.io/SoAIR19/> *I. Aim and Scope *Autonomous and intelligent systems are progressively moving into spaces, which have previously been predominantly shaped by human agency. Unlike in the past where machines obediently served their human operators, machines now increasingly act without the intervention of a human. Artificial intelligence is meeting new challenges in the world, though human-like intelligence may still be a distant goal. Robots in factories are coming out of their cages. Autonomous cars are being tested on streets with regular human-driven cars. The private household is changing with the appearance of not only robotic vacuum cleaners, but also with the first-generation of social robots and smart devices. The challenges that face both the robotics and artificial intelligence communities are how the necessary intelligence for such new environments can be created as well as how to make artificial agents capable of not only solving tasks at hand but also considering social environments around them during interaction with human users so as to behave appropriately. Within the school, we plan to address the tension created by the balance between task-specific artificial intelligence and the demands of sociability required to function effectively in human-centered environments. ** *This spring school is a Technical Education Program (TEP) endorsed and supported by IEEE-RAS*. ** *The school aims at bridging the gap between social and cognitive Human-Robot Interaction (HRI), Artificial Intelligence (AI), and Autonomous Vehicles (AV) through high-level talks and hands-on workshops (the program will be announced soon).* *II. Keynote Speakers (More Speakers in HRI, AI, and Autonomous Vehicles will join the list soon): * 1. * Jun Tani *– Okinawa Institute of Science and Technology (OIST), Japan 2. *Daniele Magazzeni *– King's College London, UK 3. * Yukie Nagai *– National Institute of Information and Communications Technology (NICT), Japan 4. * Tetsuya Ogata* – Waseda University, Japan 5. *Maya Cakmak *– University of Washington, USA 6. *Mohamed Chetouani *– University of Pierre and Marie Curie (UPMC), France 7. *Agnieszka Wykowska *– Italian Institute of Technology (IIT), Italy 8. *Tetsunari Inamura *– National Institute of Informatics (NII), Japan 9. *Amit Kumar Pandey *– SoftBank (Aldebaran) Robotics, France 10. *Francesco Maurelli *– Jacobs University, Germany (*A special talk about preparing funding proposals*) *III. Submission * The applications must include the following files (combined into one file). No other documents would be necessary (More information is available on the school's webpage). 1. *Curriculum vitae*: A two pages or less of CV detailing relevant aspects of the candidate's academic career that demonstrates her/his relevance to the school theme. 2. *Research abstract*: A 200 word research abstract that the candidate intends to present during the school. 3. *Letter of recommendation*: A short letter from the academic advisor or the employer of the candidate supporting her/his application. *Application submission*: Please use the following EasyChair web link:* Application Submission <https://easychair.org/account/signin.cgi?timeout=1;key=79456763.59XbW247MFR…>.* *IV. Important Dates * 1. Application submission: *20-December, 2018 * 2. Notification of acceptance: *28-December, 2018 * 3. Spring School: *17-24 March, 2019* *V. Organizers * 1. *Amir Aly *– Ritsumeikan University – Japan 2. *Franziska Kirstein *– Blue Ocean Robotics, Denmark 3. * Shashank Pathak *– Visteon Corporation, Germany --------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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Workshop application deadline extended: "Neuronal circuits in motor behavior" - OIST, Okinawa
by Marylka Yoe Uusisaari Oct. 24, 2018

Oct. 24, 2018

Dear all, It is our pleasure to announce the workshop "Neuronal Circuits in Motor Behavior" (NCMB) that will take place at OIST, Okinawa, February 18 - 20th, 2019. Among the numerous functions performed by the brain, creating precise, efficient movements is the most fundamental one without which no behavior could be expressed. The importance of motor control is accentuated by the fact that multiple distinct brain systems are involved in it, and thus understanding the neuronal codes leading to the skilled animal or human movements critically depends on researching the systems in a synergistic manner. The workshop brings together established scientists and rising leaders from computational, systemic neuroscience and behavioural fields, to explore and portray the various aspects and constraints of animal movement and the neuronal circuits underlying their execution. The three days will comprise of talks, poster presentations as well as more free-form discussion sessions aiming to foster collaboration. We encourage applications from students, post docs and faculty across any related fields, and *will cover travel and accommodation *for 30 accepted attendees, based on the background and motivation statements. More information, including application webform, can be found at https://groups.oist.jp/ncmb. *Note:* application deadline has been extended to November 15th, 2019. Best wishes, Marylka Yoe Uusisaari & NCMB organizers

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Faculty position in neuroscience
by Keller, Asaf Oct. 23, 2018

Oct. 23, 2018

The Department of Anatomy and Neurobiology<http://neurobiology.umaryland.edu/> is recruiting tenured/tenure-track faculty, at all ranks. We are interested in candidates with quantitative skills whose research complements existing strengths in the Department. Although we will consider all relevant research areas, we are particularly interested in research focusing on pain, neural circuits of motivated behaviors & addiction, sensory perception or neurodegeneration. Rank and tenure status is dependent on candidate’s qualifications. Candidates should have a strong record of scholarly activity. Highest priority will be given to candidates with an independent, funded research program. We offer an outstanding intellectual and collaborative environment with highly competitive salary and recruitment packages. All department faculty are members of the Graduate Program in Life Sciences<http://lifesciences.umaryland.edu/> interdisciplinary Program in Neuroscience<http://lifesciences.umaryland.edu/neuroscience>. Candidates should submit, as a single PDF to ANfacsearch(a)som.umaryland.edu<mailto:ANfacsearch@som.umaryland.edu>: curriculum vitae, brief statement of research interests and vision, and contact information for three references. Candidates should submit their application to the attention of Asaf Keller, Chairs of Faculty Search Committee.

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workshop “Cortical models for visual perception and imaging applications” at the Institut de mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG)
by Benedetta Franceschiello Oct. 23, 2018

Oct. 23, 2018

Dear all, It is our pleasure to invite you to attend the workshop “Cortical models for visual perception and imaging applications” (https://liftme.sciencesconf.org/) that we are organising at the Institut de mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG)(room 15-16-413) on November 22nd, in partnership with the workshop “Géométrie et représentation de la couleur” (link: http://www.gdr-isis.fr/index.php?page=reunion&idreunion=359) organised on November 21st by Edoardo Provenzi. The aim of the workshop is to gather people working in the field of mathematical and neurophysiological modelling of human brain, from a theoretical and applied point of view, with particular emphasis on imaging methods based on visual perception. An updated schedule will be provided at this page: https://liftme.sciencesconf.org/program The registration is free, but mandatory for organisation purposes, *by November 16*. To register you should log-in to the website with your HAL credentials (on the top right corner of the page https://liftme.sciencesconf.org/) If you encounter any problem in the registration process, please send an e-mail to liftme(a)sciencesconf.org Best wishes, The organisers Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi, Mario Sigalotti

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Computational Neuroscience Software Developer / Research Associate Position
by Stephanie Jones Oct. 22, 2018

Oct. 22, 2018

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

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Postdoctoral researchers - computational modeling, EEG, TMS
by Stephanie Jones Oct. 22, 2018

Oct. 22, 2018

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

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