August 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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Postdoc positions on Consciousness Research at Monash Uni, Australia
by Naotsugu Tsuchiya Jan. 14, 2020

Jan. 14, 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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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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CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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Frontiers Research Topic on Data Assimilation
by Axel Hutt Oct. 2, 2018

Oct. 2, 2018

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

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Open Ph.D. position on whole-brain calcium imaging at Technical University of Munich
by Gil Westmeyer Sept. 10, 2018

Sept. 10, 2018

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

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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes Aug. 28, 2018

Aug. 28, 2018

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

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LACONEU Summer School - January 2019
by Patricio Orio Aug. 24, 2018

Aug. 24, 2018

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

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Postdoc at RIKEN Center for Brain Science, Japan
by Taro Toyoizumi Aug. 23, 2018

Aug. 23, 2018

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

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NEST 2.16.0 released
by Hans Ekkehard Plesser Aug. 21, 2018

Aug. 21, 2018

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

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Human Neocortical Neurosolver: A new tool for circuit level investigation of MEG/EEG data
by Stephanie Jones Aug. 21, 2018

Aug. 21, 2018

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

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Full-time industry position: Computational Neuroscience / Neuromorphic Machine Learning
by Dylan Muir Aug. 17, 2018

Aug. 17, 2018

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

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Funded mathematics PhD position - Designing the dynamics of coupled oscillators - University of Exeter
by Purcell, Sarah Aug. 17, 2018

Aug. 17, 2018

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

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Postdoc available in Brinkman group at Stony Brook University
by Braden Brinkman Aug. 16, 2018

Aug. 16, 2018

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

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Contrat post-doctorant 2018-2020 - Laboratoire FrontLAB, Institut du Cerveau et de la Moelle Epinière (ICM), PARIS (FR)
by Bénédicte BATRANCOURT Aug. 16, 2018

Aug. 16, 2018

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

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Up to 8 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy
by Alessandro Treves Aug. 16, 2018

Aug. 16, 2018

SISSA is an elite postgraduate research institution, focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. Campus above Trieste, overlooking the Gulf. Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range from cognitive psychology and imaging in humans to behavioural neuroscience and multiple single-unit recording in rats, mathematical and computational modeling; with research groups led by Domenica Bueti, Davide Crepaldi, Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs. All admitted students receive a 4-year fellowship and engage full-time in research based in Trieste, with limited coursework in the first few months, talks and seminars throughout the year and a TEX event in the summer, see https://indico.sissa.it/event/26/ First deadline for EU candidates: March 2, 2018, for nonEU: March 31, 2018 -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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Save the date ICTALS2019 (IWSP9), Exeter, UK, September 2nd – 5th 2019
by Goodfellow, Marc Aug. 15, 2018

Aug. 15, 2018

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

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MRC Skills Development Fellowships at the University of Exeter
by Purcell, Sarah Aug. 15, 2018

Aug. 15, 2018

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

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Funded postdoc positions: Synaptic and network mechanisms of visual perception
by Haider, Bilal Aug. 14, 2018

Aug. 14, 2018

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

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Postdoctoral Research Fellow roles - EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter
by Purcell, Sarah Aug. 13, 2018

Aug. 13, 2018

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

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PhD deeplearning in neuroimaging - Amsterdam
by Rajat Thomas Aug. 10, 2018

Aug. 10, 2018

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

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Postdoc deeplearning in medical imaging - Amsterdam
by Rajat Thomas Aug. 10, 2018

Aug. 10, 2018

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

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ESI SyNC Conference 2018 - Integrative Mechanisms of Cognitive Neuroscience | DEADLINE APPROACHING
by André Castro Aug. 9, 2018

Aug. 9, 2018

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

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Final call and reminder - workshop on Computational Neuroscience and Robotics: University of York, 3-5 Sep 2018.
by David Halliday Aug. 8, 2018

Aug. 8, 2018

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

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PhD positions in CRC 1330 Hearing Acoustics
by Seeber, Bernhard Aug. 7, 2018

Aug. 7, 2018

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

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Extension Call for Abstracts: New Deadline August 31 - Cognitive Computing - Merging Concepts with Hardware
by Prof. Dr. Gordon Pipa Aug. 6, 2018

Aug. 6, 2018

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

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One postdoc and two PhD positions in Emmy-Noether group "Decision Neuroscience of Human Cooperation" in Hamburg, Germany
by Christoph Korn Aug. 3, 2018

Aug. 3, 2018

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

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A biologically motivated and more powerful alternative to locality-sensitive hashing
by Rod Rinkus Aug. 2, 2018

Aug. 2, 2018

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

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Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST
by Luigi Malagò Aug. 2, 2018

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

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PhD positions at the Univ. of Leicester (for UK/EU candidates only)
by Okun, Michael (Dr.) Aug. 2, 2018

Aug. 2, 2018

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

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