April 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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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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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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COSYNE 2018: Talks are available online
by Tomas Hromadka April 28, 2018

April 28, 2018

==================================================== Computational and Systems Neuroscience (Cosyne) www.cosyne.org ==================================================== COSYNE 2018 TALKS AVAILABLE ONLINE We are pleased to announce that selected talks presented at Cosyne 2018 are now available online. Cosyne 2018 tutorial on 'Statistical models for neural data', presented by Jonathan Pillow, is available as well. Links to current playlists are available at www.cosyne.org. Best regards, Cosyne organizers

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Postdoc in electrophysiological source imaging
by Daniel Wójcik April 27, 2018

April 27, 2018

POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE: kESI – kernel-based method of electrophysiological source imaging The Neuroinformatics Laboratory (http://neuroinflab.pl/) at the Nencki Institute of Experimental Biology (http://www.nencki.gov.pl) invites applications for a postdoctoral position. The goal of the project is to develop, implement and investigate, a new technique of source localization of specific events in neural activity, such as a seizure, from multimodal imaging data, including ECoG (strip and grid electrodes), depth electrophysiological recordings, and MRI data from humans. The method will be validated with ground truth model data and tested on clinical data obtained from epilepsy patients. The fellow will build on already existing tools and techniques developed in the lab (https://github.com/Neuroinflab/kCSD-python) see especially Potworowski et al. 2012 and Ness et al. 2015 (https://neuroinflab.wordpress.com/publications/) The ideal candidate will have a strong computational background, experience in numerical solutions of PDEs, electrodynamics, computational neuroscience, or brain imaging. We can only accept candidates 0 to 7 years after reception of PhD (+1,5 year per child for mothers). If you have a solid background in physics, maths, computer science, or engineering, and want to apply it to understanding or curing the brain, this position might be for you. Funding is available for 2-3 years. The gross yearly salary (“duże brutto”) is up to 120 000 PLN (~28 000 EUR) depending on employment time and experience. To find out its worth check out https://www.expatistan.com/cost-of-living and https://www.numbeo.com/cost-of-living/comparison.jsp. To apply or inquire send email to d.wojcik(a)nencki.gov.pl. Applications should include a CV, statement of research interests, and the names and full contact details of one to three referees. To demonstrate your prowess in Python provide your github account or solutions to problems 1-4 provided here (https://neuroinflab.wordpress.com/tasks/ - at least two, the more the better). If you cannot satisfy these conditions but still think we should hire you, convince us. The deadline for application is May 31st, 2018. We will continue recruitment until the position is filled. https://neuroinflab.wordpress.com/jobs/postdoc-kesi/ -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head Graduate School, Head Nencki Institute of Experimental Biology http://neuroinflab.pl/ http://orcid.org/0000-0003-0812-9872

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PhD studentship. Dopamine, social cognition and bodily movement. Uni of Birmingham, UK.
by Jennifer Cook April 26, 2018

April 26, 2018

*Dopamine, social cognition and bodily movement: unpacking a complex relationship (ERC-Funded PhD studentship)* Application deadline: 25th May 2018 Studentship start date: 30th July 2018 or as soon as possible thereafter. Summary: Applications are invited for a fully-funded (fees + stipend) Ph.D. to begin in July 2018. The candidate will work with Dr. Jennifer Cook ( www.jencooklab.com; http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…) on a European Research Council (ERC)-funded project on the relationship between social cognition, bodily movement and function of the dopaminergic neurotransmitter system (ERC-StG-Brain2Bee). Project description: Studies of Parkinson’s Disease have typically focused on difficulties with bodily movement (e.g. difficulties with walking), and studies of Autism have tended to focus on social cognition. The co-occurrence of social and movement symptoms is thus critically underappreciated; Parkinson’s Disease patients exhibit social symptoms, and motor challenges (e.g. difficulties with handwriting) are common in Autism. At present, the biological basis of co-occurring social and motor symptoms is unclear. Notably, both Autism and Parkinson’s Disease have been associated with atypicalities in the function of the dopaminergic neurotransmitter system. This Ph.D. project aims to improve understanding of the complex relationship between social cognition, bodily movement and the dopamine system. This aim will be achieved using psychopharmacology studies and behavioural training in typical individuals and in those with Autism or Parkinson’s Disease. Results from this package of work will help us to move closer to a cross-disorder understanding of factors underlying variation in social and motor ability. Research will be conducted at the School of Psychology at the University of Birmingham (http://www.birmingham.ac.uk/schools/psychology/index.aspx) which is one of the largest and most successful psychology departments in the UK, currently ranked in the top 5 (REF 2014). How to apply: For more information and application details see https://www.findaphd.com/search/ProjectDetails.aspx?PJID=89414 or contact Dr. Jennifer Cook, j.l.cook(a)bham.ac.uk -- Dr Jennifer Cook Senior Research Fellow School of Psychology University of Birmingham www.jencooklab.com http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…

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Two postdoctoral positions at RIKEN Center for Brain Science, Japan
by Andrea Benucci April 26, 2018

April 26, 2018

The Laboratory for Neural Circuits and Behavior at RIKEN Center for Brain Science near Tokyo (www.benuccilab.net) is seeking two postdoctoral candidates to work on theoretical and experimental projects. The ideal experimental candidate has a Ph.D. in a relevant field (e.g., Neuroscience, Biology, Genetics) and familiarity with optogenetic and calcium-imaging methodologies in rodents, with demonstrated experience in data analysis and modeling (Matlab or Python preferred). The theoretical candidate should have a Ph.D. in Computer Science, Mathematics, or Physics, be proficient in Matlab and Python (Theano, TensorFlow) programming, with demonstrated experience working with different classes of artificial neural networks (RNN, LSTM preferred). Applications should include a cover letter and a CV, and emailed to andrea(a)benuccilab.net

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AI & Augmented Cognition in the USAF of 2030 MicroLabs
by Jeff Krichmar April 25, 2018

April 25, 2018

Dear Colleagues, Please consider this friendly reminder to join us for one of the upcoming AI & Augmented Cognition in the USAF of 2030 MicroLabs next week. These 60-90 minute interactive online events are part of a larger effort to illuminate the 2030 technology horizon for AI in the USAF context. To maintain the integrity of the process for our USAF sponsor, registration can only be completed through a closed community portal (https://hub.ki/groups/gmuai/overview) If you'd like to get involved, please use this link (https://goo.gl/CkntHq) to complete a 1-minute application for the community. For reference, the primary objective of the effort, as stated, is to illuminate the 2030 technology horizon for AI in the USAF context. A secondary objective is to facilitate the building of a community of USAF aligned experts who can provide continuing advice to the USAF as an external advisory board. The final objective is to facilitate the discussions necessary to build a pipeline of technological expertise in AI to avoid or respond to strategic surprise in this area. Sincerely, James Olds - former head of the Biological Sciences Directorate at NSF and university professor of neuroscience at George Mason University Stephen Fiore - Director, Cognitive Sciences Laboratory, and Professor with the University of Central Florida's Cognitive Sciences Program in the Department of Philosophy and Institute for Simulation & Training Jeff Krichmar - Professor in the Department of Cognitive Sciences and the Department of Computer Science at the 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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Junior Professor in Cognitive Computing - Germany - University Osnabrueck - Institute of Cognitive Science
by Prof. Dr. Gordon Pipa April 25, 2018

April 25, 2018

The Institute of Cognitive Science (University Osnabrueck ) is seeking to appoint an Junior Professor in Cognitive Computing. You can find more details here: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote_d etail/50_ikw_assistent_professorship_in_cognitive_computing.html The professorship will be tightly interlinked with the DFG research training group on Computational Cognition which Osnabrück University has applied for, and specifically related to the research fields From Signals to Symbols and Back: Neural Representations and Learning and Symbolic Thought: Processes on Uncertain and Incomplete Representations, and will strengthen the profile in the domain of big data science and machine learning. The work will be inspired by deep neuronal networks and modern machine learning techniques. A transfer to applications is welcome. A strong link to cognitive science is essential. This may include cognitive architectures, multi-agent systems, human machine interactions, and neuro-inspired learning. She/he is particularly expected to collaborate with more than one of the existing work groups that are closely related to the fields of processing visual data, machine learning, knowledge representation, and (neuro-) cognitive aspects of language. Feel free to get in touch with me to get further information. Best Gordon ---------------------------------------------------------------------------- --- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de https://de.linkedin.com/in/gordon-pipa-47771539 research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

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Computational Postdoc - Cold Spring Harbor Laboratory - Long Island, New York
by Engel, Tatiana April 23, 2018

April 23, 2018

Postdoctoral position in Computational Neuroscience, Engel Lab, Cold Spring Harbor Laboratory, NY Position description: The Engel lab in the Department of Neuroscience at Cold Spring Harbor Laboratory invites applications from highly motivated candidates for a postdoctoral position working on the cutting-edge research in computational neuroscience. We are looking for theoretical/computational scientists to work at the exciting interface of systems neuroscience, machine learning, and statistical physics, in close collaboration with experimentalists. The postdoctoral scientist is expected to exhibit resourcefulness and independence, developing computational models of large-scale neural activity recordings with the goal to elucidate neural circuit mechanisms underlying cognitive functions. The candidates should e-mail their application to Tatiana Engel (engel(a)cshl.edu<mailto:engel@cshl.edu>) as a single pdf file with subject: Postdoc Application. The application file should include: (1) CV with the publication list, (2) a brief description of research interests, (3) contact information for three references. Position requirements: - PhD in physics, mathematics, neuroscience, computer science, engineering or related quantitative discipline - Expertise in scientific programming, e.g., C/C++, Python, Matlab - Track record of publications in scientific journals - Effective communication skills, both written and oral - Dedication and passion for solving hard scientific problems -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

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NeuroMorpho.Org v7.4 released April 16th, 2018
by NeuroMorpho Administrator April 22, 2018

April 22, 2018

Dear colleagues, We’re pleased to announce the April 16, 2018 release of Version 7.4 of NeuroMorpho.Org<http://neuromorpho.org/>, adding 6881 reconstructions from 57 new datasets. The repository now provides access to 86,893 cells from over 50 distinct animal species including numerous new entries (African wild dog, Aplysia, Banded mongoose, Blue wildebeest, Caracal, Clam worm, Ferret, Greater kudu, Lion, Mountain zebra, Red-necked wallaby, and Ring-tailed lemur). Please visit the What’s new page<http://neuromorpho.org/WIN.jsp> for details on the added data and metadata. The literature coverage was also updated to include publications through March 2018, with more than 30,000 mined articles. We are continuously grateful to all data contributors<http://neuromorpho.org/acknowl.jsp#DC> who freely share their hard-won tracings with the community. We appreciate any and all feedback and comments. Our apologies if you receive multiple versions of this message through cross-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/acknowl.jsp#NMO> ---------------- Giorgio Ascoli<http://krasnow1.gmu.edu/cn3/ascoli>, PhD University Professor Bioengineering Department<http://bioengineering.gmu.edu/>, Volgenau School of Engineering<http://volgenau.gmu.edu/> Neuroscience Program<http://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study<http://krasnow1.gmu.edu/> Director, Center for Neural Informatics, Structures, & Plasticity<http://krasnow1.gmu.edu/cn3> MS2A1 - George Mason University<http://gmu.edu/>, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of “Trees of the Brain, Roots of the Mind<http://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>” (MIT Press, 2015<http://mitpress.mit.edu/books/trees-brain-roots-mind>) Founding Editor-in-Chief, Neuroinformatics<http://link.springer.com/journal/12021>

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KogWis2018 deadline extension
by Constantin Rothkopf April 22, 2018

April 22, 2018

KogWis 2018: 14th Biannual Conference of the German Cognitive Science Society Centre for Cognitive Science, Technische Universität Darmstadt S1|05: Hörsaal 122, Maschinenhaus, Magdalenenstraße 12 Darmstadt, Germany, September 3-6, 2018 http://www.tu-darmstadt.de/kogwis2018 ****** By popular demand, the submission deadline for abstracts has been extended to May 1st. ***** ** ******* Also, please note the call for Tutorials and Symposia at the end of this mail. ***** ** ******* GK Best Paper award, GK Best Poster awards, and Student Travel awards announced. ***** * *Call for Presentations and Posters* We call for extended abstracts for oral presentations and for posters. Submissions should be written in English, and be formatted according to the formatting guidelines below. Contributions must be submitted by May 1st 2018 via the EasyChair submission webpage: https://easychair.org/conferences/?conf=kogwis2018 All submissions will be peer-reviewed by members of the review committee. Acceptance will be based on novelty of research, significance of results, and quality of presentation. Accepted abstracts will be published in the online conference proceedings. All accepted contributions must be presented at the conference. So at least one author must register by the early registration deadline or the contribution will not be included in the program. The best submissions to KogWis 2018 will be selected for oral presentation at the conference. *Call for Symposia* Submission is now open for proposals for symposia to be presented at KOGWIS2018. The deadline for submitting a symposium proposals is May 11th, 2018. A symposium should involve several presenters, typically 4-5, organized around a topic of interest. Symposia may be on any topic in cognitive science. The KOGWIS program committee will strive for quality, variety, innovation, and diversity of the program; special emphasis will be put on this year's topic: computational approaches to cognitive science. Please submit proposals for a symposium directly as a single abstract for the symposium topic. On the second page of the abstract, please list the speakers who will be participating in the symposium and the title of their contributions. Send the the two page abstract via e-mail with the subject "Symposium proposal" directly to: kogwis2018(a)cogsci.tu-darmstadt.de *Call for Tutorials* We invite proposals for tutorials to be held at KOGWIS2018. The KOGWIS program committee is interested in tutorials that disseminate information to conference attendees on recently emerging topics and trends as well as foundation topics, provide surveys of complementary techniques to those commonly studied in cognitive science, and inform attendees on the state-of-the-art within the field. We encourage submissions of proposals on topics in the general areas of cognitive science but particularly encourage tutorials on computational approaches to cognitive science. Please submit proposals for a tutorial directly as one abstract for the tutorial topic according to the same guidelines as regular abstracts via e-mail with the subject "Tutorial proposal" directly to: kogwis2018(a)cogsci.tu-darmstadt.de *GK Best Paper Award (2016-2018)* The GK Best Paper Award is awarded for the best publication in cognitive science by a young investigator whose PhD has been awarded within the last three years or who is still earning a PhD. Applications are accepted for peer reviewed papers, which have been accepted for publication or have been published since May 2016. Applications should be submitted by June 1st 2018 via e-mail to the head of the GK (vs1(a)gk-ev.de) and include a single PDF document with: - the published paper, - the publication data or the notification of acceptance of the journal or conference, - a CV including publication record. The prize will be awarded at KogWis 2018 and the awardee will be given the opportunity to present their work in a dedicated program slot. *GK Best Poster & Presentation Award* Each paper accepted for publication at KogWis 2018 will be eligible for the KogWis 2018 Best Paper Award. There will be three awards in total: 1st place 250 €, 2nd place 150 €, 3rd place 100 €. *GK Student travel award* The GK society sponsors four student travel grants for student members of the GK to attend KogWis. Students need to be or become a member of the GK to be eligible. The travel to KogWis 2018 will be supported by an amount of 250€. Selection Criteria are: involvement at the conference (paper or poster contribution) & application date. Please send your application to kogwis2018(a)cogsci.tu-darmstadt.de with the subject "KogWis Student Travel Grant Application". KogWis 2018 will be held in Darmstadt, Germany, and invites submissions of extended abstracts on current work in cognitive science. Generally all topics related to cognitive science are welcome. Contributions that address the focus of this meeting, that is, computational cognitive science are particularly encouraged. Computational approaches to cognitive science emphasize formalizing adaptive and intelligent behavior and have strong ties to machine learning and artificial intelligence. *Confirmed keynote speakers:* Frances Egan (Rutgers University) Noah Goodman (Stanford University) Máté Lengyel (University of Cambridge) Iris van Rooij (Radboud University Nijmegen) Christopher Summerfiled (University of Oxford) *Important Dates* Main conference: 03 - 06 September 2018 Submission deadline for extended abstracts: Friday, 01 May 2018 ***** extended ***** Notification of acceptance (presentations or posters): Monday, 28 May 2018 Early registration deadline: Monday, 02 July 2018 PhD Student Workshop Deadline: Monday, 23 July 2018 We are looking forward to meeting you in Darmstadt, Constantin Rothkopf, Dirk Balfanz, Ralf Galuske, Frank Jäkel, Kristian Kersting, Jakob Macke, Betty Mohler

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EXTENDED DEADLINE -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris
by A. Torcini April 22, 2018

April 22, 2018

The deadline for registration has been extended to 20th May 2018 ================================================= The following workshop in (computational) neuroscience InSpire - New Insights on Complex Neural Dynamics will be held on June, 6th-8th, 2018, at Institut d'Etudes Avancés - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. INVITED SPEAKERS: https://inspire2018parisseine.wordpress.com/page/ For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ extended deadline for registration: 20th MAY, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini --

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CfP: 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 Call for Papers - Paper submission deadline: April 30, 2018
by Giuseppe Nicosia April 22, 2018

April 22, 2018

[Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 An Interdisciplinary Conference: Machine Learning, Optimization & Data Science without Borders SIAF Learning Village - Volterra (Pisa) Tuscany, September 13-16, 2018 https://lod2018.icas.xyz/ lod(a)icas.xyz KEYNOTE SPEAKERS ◦ Jörg Bornschein DeepMind, London, UK ◦ Peter Flach University of Bristol, UK - Editor-in-Chief of the Machine Learning Journal ◦ George Karypis University of Minnesota, USA ◦ Martin Ravetti Universidade Federal de Minas Gerais, Brasil ◦ Andrey Raygorodsky Moscow Institute of Physics and Technology, Russia ◦ Stephen Smale - Fields Medal University of California Berkeley, USA More Speakers TBA! ************************* CALL FOR PAPERS ************************* Paper submission deadline: April 30, 2018 https://lod2018.icas.xyz/call-for-papers/ The LOD 2018 conference will consist of four days of main conference sessions. The 4th Annual Conference on machine Learning, Optimization and Data science (LOD) is a single-track machine learning, computational optimization, data science conference that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the conference proceedings: https://lod2018.icas.xyz/call-for-papers/ Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Papers must be submitted in PDF. LOD 2018 Types of Submissions When submitting a paper to LOD 2018, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. LOD 2018 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the conference. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the LOD 2018 web site. LOD 2018 Best Paper Springer sponsors the LOD 2018 Best Paper Award with a cash prize of EUR 1,000. LOD 2018 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2018 DEADLINE: April 30, 2018 LOD 2018 Important Dates + Paper Submission Deadline: April 30, 2018 + Decision Notification to Authors: June 1st, 2018 + Camera Ready Submission Deadline: July 1st, 2018 + Deadline for early Registration as Presenting Author: July 1st, 2018 + Late registration: July 2 – September 16, 2018 + On-Site registration: September 13-16, 2018 + LOD 2018 conference: September 13-16, 2018 LOD 2018 Registration https://lod2018.icas.xyz/registration/ LOD 2018 Program Committee The current LOD 2018 Program Committee includes about 300 Program Committee members: https://lod2018.icas.xyz/program-committee/ Any questions regarding the submission process can be sent to conference organizers: lod(a)icas.xyz We look forward to seeing you in Tuscany! LOD 2018 Chairs & Organizing Committee. https://lod2018.icas.xyz/ lod(a)icas.xyz MOD 2017 Keynote Speakers: Yi-Ke Guo, Imperial College London, UK. Founding Director of Data Science Institute Panos Pardalos, University of Florida, USA. Director of the Center for Applied Optimization Ruslan Salakhutdinov,Carnegie Mellon University, USA. Director of AI Research at Apple. My Thai, University of Florida, USA Jun Pei, Hefei University of Technology, China Vincenzo Sciacca, Cloud and Cognitive Division – IBM Rome, Italy http://www.taosciences.it/mod/keynote-speakers/ MOD 2016 Keynote Speakers: Nello Cristianini, University of Bristol, UK George Michailidis, University of Florida, USA Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA http://www.taosciences.it/mod-2016/keynote-speakers/ MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA http://www.taosciences.it/mod-2015/MOD 2015 Best Paper Award of the Previous Editions: https://lod2018.icas.xyz/best-paper-award/

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Postdoctoral and PhD Neuroinformatic positions
by Yasser Iturria Medina April 21, 2018

April 21, 2018

*Postdoctoral Fellow in Multifactorial Brain Computational Modeling at Montreal Neurological* *Institute*. We are looking for a highly motivated postdoctoral student, for joining the Neuroinformatics for Personalized Medicine lab (NeuroPM) at MNI (McGill University, Montreal, Canada). The postdoc will be under the supervision of Prof. Yasser Iturria-Medina, and will be expected to collaborate with multiple associated groups (e.g. Alan C. Evans’s and Vladimir Hachinski’s groups). The project, extendable at least for two years, includes the modeling of direct multifactorial brain interactions, intra-brain network spreading of aberrant effects and identification of potential therapeutic signals for multiple disorders (e.g. Alzheimer’s disease, frontotemporal dementia, schizophrenia, multiple sclerosis). The NeuroPM lab is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (https://www.mcgill.ca/hbhl/) and the Ludmer Center ( http://ludmercentre.ca/) both involving computationally intensive and interdisciplinary research on the brain. The MNI, the largest training centre for brain research in Canada, is an internationally renowned institution, characterized by the integration of research and patient care. The interested candidates should have a solid background in mathematical and computational modeling, and advanced programming skills in Matlab. Experience in brain imaging will be an asset. The selected candidate will be expected to start around September 1st, 2018. Contact: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com *PhD in Multiscale Brain Computational Modeling at Montreal Neurological Institute*. We are looking for a highly motivated PhD student, for joining the Neuroinformatics for Personalized Medicine lab (NeuroPM) at MNI (McGill University, Montreal Canada). The PhD student will be under the supervision of Prof. Yasser Iturria-Medina, and will be expected to collaborate with multiple associated groups (e.g. Alan C. Evans’s and Vladimir Hachinski’s groups). The project includes the modeling of molecular interactions, intra-brain network spreading of aberrant effects and the identification of potential therapeutic signals for multiple disorders (e.g. Alzheimer’s disease, frontotemporal dementia, schizophrenia, multiple sclerosis). The NeuroPM lab is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (https://www.mcgill.ca/hbhl/) and the Ludmer Center ( http://ludmercentre.ca/) both involving computationally intensive and interdisciplinary research on the brain. The MNI, the largest training centre for brain research in Canada, is an internationally renowned institution, characterized by the integration of research and patient care. Students with interest in mathematical and computational modeling of the brain are invited to apply. Experience in Matlab programming and brain imaging will be an asset. The selected candidate will be expected to start between the fall of 2018 and the winter of 2019. Contact: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com -- Yasser Iturria Medina, PhD. Montreal Neurological Institute McGill University Publications: http://scholar.google.com/citations?user=-aFepXoAAAAJ&hl=es

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ANNPR 2018: Deadline extended to May 15
by Friedhelm Schwenker April 20, 2018

April 20, 2018

8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018) September 19-21, 2018 DIISM, Università di Siena, Tuscany (Italy) URL:http://annpr2018.diism.unisi.it/ Sponsored by the International Association for Pattern Recognition (IAPR) *** The submission deadline is extended to May 15, 2018 *** New Important Dates Paper submission (extended): May 15, 2018 Notification of acceptance: June 15, 2018 Camera ready due: June 25, 2018 Early registration: June 30, 2018 Workshop: Sept. 19-21, 2018 (Wed to Fri) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2018 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues - Supervised, partially supervised, and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Deep architectures Applications to Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimensionality reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (seehttp://iapr-tc3.diism.unisi.it/Research.html) Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (seehttp://www.springer.com/it/computer-science/lncs/conference-proceedings-…) The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair will be made available in due time through the ANNPR2018 website. For more information, please visit us at: http://annpr2018.diism.unisi.it/ Do not hesitate to contact the ANNPR2018 Chairs for any inquiries. ANNPR2018 Chairs Luca Pancioni, Università di Siena, Italy Friedhelm Schwenker, Ulm University, Germany Edmondo Trentin, Università di Siena, Italy -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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Bayes annd Information Theory ebooks
by James V Stone April 20, 2018

April 20, 2018

These books are now available as ebooks: Information Theory: A Tutorial Introduction (plus report at https://arxiv.org/abs/1802.05968) Bayes’ Rule: A Tutorial Introduction to Bayesian Analysis Bayes’ Rule With MatLab Bayes’ Rule With Python Bayes’ Rule With R via Amazon and this web site: http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html All ebooks above are pdf files (my kindle books are essentially pdf files), and one (Bayes’ Rule: A Tutorial Introduction to Bayesian Analysis) is available in re-flowable epub format from here: https://sebtel.selz.com/ (Getting the epub format to display equations correctly is tricky, which is why only one of my books has been produced in epub format). Finally, the following book will be published on 8th June 2018 (Crick's birthday) Principles of Neural Information Theory James V Stone -- Dr James V Stone Honorary Reader, Sheffield University, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html

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Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST
by Luigi Malagò April 20, 2018

April 20, 2018

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 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*: 06 May 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 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 2.5 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 http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep- learning-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: 06 May 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

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Conference announcement: "Social cognition in humans and robots"
by Alexander Maye April 20, 2018

April 20, 2018

Social cognition in humans and robots September 27-28, 2018 University Medical Center Hamburg-Eppendorf, Hamburg, Germany Over decades, a range of theories and concepts for explaining how we understand others have been developed. This conference turns the spotlight on the idea that social cognition is grounded in sensorimotor and informational dynamic coupling of agents. According to this view, interaction dynamics is one of the keys to understand the mechanisms of successful social interaction because it provides substantial clues to social understanding and gives rise to high-level capabilities such as joint shared intentionality and joint action. Moreover it suggests that many disturbances of social cognition may be rooted in the impaired capacity for entraining and sustaining sensorimotor and informational coupling. The conference will provide an interdisciplinary podium which overviews trends and recent developments of concepts, methods, basic research and applications of sensorimotor approaches in social cognitive science, neuroscience, and robotic research. A particularly interesting question will be how concepts and methods from social cognitive and neuroscience transfer to human-robot interaction. The meeting will also gauge the societal impact of progress in understanding dynamic coupling processes in human-human and human-robot interactions. The event is organized by the FET Proactive H2020 project "Socializing Sensorimotor Contingencies - soSMCs" (socSMCs.eu) in partner alliance with the European Society for Cognitive Systems - EUCog (eucognition.org) Keynote speakers - Natalie Sebanz (Central European University, Hungary) - Antonia Hamilton (University College London, UK) - Scott Kelso (Florida Atlantic University, USA) - Luciano Fadiga (University of Ferrara and IIT, Italy) - Iain Couzin (University of Konstanz, Germany) - Paul Verschure (Institute for Bioengineering of Catalonia, Spain) Submissions - Conference contributions (talks, posters) - Research articles (to be published in a Frontiers Research Topic) - Venues for the EUCognition meeting in 2019 For all submission types, please send an abstract of no more than 1.000 words to conference2018(a)socSMCs.eu and indicate the type of your contribution (poster|talk|article|venue), the title (500 characters max.), all author names and affiliations. Important dates - May 25, 2018: Deadline for submission of abstracts - June 29, 2018: Registration closes - December 3, 2018: Submission of research articles Fee The registration fee of 110€ includes coffee, soft drinks and snacks on both days. On September 27th, a social dinner at an extra charge of 20€ will be hosted at the MS Cap San Diego (http://www.capsandiego.de/in-brief.html).Booking of the social dinner is only possible in combination with a conference registration. Register today at https://en.xing-events.com/TEHHWXM -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Martina Saurin (komm.) _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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7th International Summer School of Neuroengineering "Massimo Grattarola": reminder!
by Paolo Massobrio April 20, 2018

April 20, 2018

Dear colleagues, Just a simple reminder! Still 1 month left for the application deadline of the 7th International Summer School of Neuroengineering "Massimo Grattarola" (Neurotechnologies and Computational Methods to Interact with the Brain) that will be held in Genova (Italy) 18th-22nd June 2018. On our website (www.neuroengineering.eu <http://www.neuroengineering.eu> ) you can find the final program of the lectures. The keynote speech will be given by Prof. Miguel Nicolelis (Duke University). The school aims to introduce computational and technological methods to PhD students and post-docs of different backgrounds (life sciences, physics, engineering) to interact with the brain. Dates: 18th-22nd June 2018 Location: Genova (Italy) Registration: Participation is limited to 60 attendees (students, post-docs, .). Registration close 20th May. Website: www.neuroengineering.eu <http://www.neuroengineering.eu> Poster session: Students attending the school will have the opportunity to present their results in a two-days poster session. Practical session: Use of a high-density EEG set-up and a multi-electrode array for in vitro applications. Confirmed speakers: Miguel Nicolelis (Duke University), Shimon Marom (Technion Israel Institute of Technology), Matias Palva (Univ. Helsinki), Andreas Hierlemann (ETH), Tim Harris (Janelia Research Campus), Lucilla de Arcangelis (Univ. of Campania), Annalisa Bonfiglio (Univ. Cagliari), Sylvie Renaud (Bordeaux INP), Valentina Pasquale (Italian Institute of Technology), Michele Giugliano (Univ. Antwerp), Michele Migliore (CNR), Silvia Casarotto (Univ. Milano), Michela Chiappalone (Italian Institute of Technology), Stanisa Raspopovic (ETH), Ioannis Isaias (Uni. Wurzburg), Mario Rosanova (Uni. Milano) Best regards Paolo Massobrio _________________________________________________ Paolo Massobrio, PhD Assistant Professor of Bioengineering Neuroengineering and Bio-Nano Technology - NBT - Lab Department of Informatics, Bioengineering, Robotics and System Engineering - DIBRIS University of Genova Via Opera Pia 13, 16145, GENOVA, ITALY Phone: +39-010-3532761 Fax: +39-010-3532764 URL: <http://www.dibris.unige.it/> www.dibris.unige.it; <http://www.nbt.unige.it> www.nbt.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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Workshop on topology and neuroscience - First announcement
by Nicolas Ninin April 19, 2018

April 19, 2018

Dear colleagues, We are pleased to announce the first workshop on topology and neuroscience, which will be held from Wednesday, November 28, to Friday, November 30, 2018 at the EPFL campus in Lausanne, Switzerland. This workshop aims at bringing together people working at the intersection of topology and neuroscience and welcomes anyone who has an interest in these subjects. There will be two lecture series by: Carina Curto, Pennsylvania State University Olaf Sporns, Indiana University There will be contributed talks given by: Paul Expert, Imperial College London Eyal Gal, The Hebrew University of Jerusalem Chad Giusti, University of Delaware Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften in Leipzig Tom Leinster, University of Edinburgh Ran Levi, University of Aberdeen Sofia Olhede, University College London Jose Perea, Michigan State University Erik Rybakken, Norwegian University of Science and Technology (TBC) Bernadette Stolz, University of Oxford Katharine Turner, Australian National University Hubert Wagner, Institute of Science and Technology Austria Additionally, there will be a poster session during the workshop. Registration is now open at the conference website: <https://neurotop2018.org/> https://neurotop2018.org/ and will close September 1, 2018 or when we reach capacity. We have limited funding for students to cover local expenses. Applications for such funding is now open at the conference website and will close on July 1, 2018. All additional relevant information regarding the conference will continuously be updated on the conference website. In particular, travel information on how to get to EPFL as well as suggested accommodation options are already detailed there. You can contact the organizers at neurotop2018(a)neurotop2018.org. With best regards, Nicolas Nininon behalf of the organzing committee Stefania Ebli Daniela Egas Santander Nicolas Ninin Gard Spreemann

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Call for Papers MICCAI International Workshop on Machine Learning for Clinical Neuroimaging (MLCN): Spatially Structured Data Analysis
by Marquand, A.F. (Andre) April 19, 2018

April 19, 2018

Call for Papers MICCAI International Workshop on Machine Learning for Clinical Neuroimaging (MLCN): Spatially Structured Data Analysis (September 20, 2018, Granada, Spain) Recent advances in neuroimaging and statistical machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. MLCN 2018 workshop (https://mlcn2018.com/) as a satellite event of MICCAI 2018 (http://www.miccai2018.org/en/) aims to bring together researchers in both theory and application from various fields in domains of spatial statistics, pattern recognition in neuroimaging, and predictive clinical neuroscience. Topics of interests include but are not limited to: * Applications of spatio-temporal modeling in predictive clinical neuroscience * Spatial regularization in decoding clinical neuroimaging data * Spatial statistics in neuroimaging * Learning with structured inputs and outputs in clinical neuroscience * Multi-task learning in analyzing structured neuroimaging data * Deep learning in analyzing structured neuroimaging data * Model stability and interpretability in clinical neuroscience Submission Process: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging and spatially structured data analysis. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) of up to 8-pages papers using the CMT system at https://cmt3.research.microsoft.com/MLCN2018<https://mail.ru.nl/owa/redir.aspx?C=cF_JmZM8kIynrj31nweTMkQwN3oMG8T7g2yKH7j…>. This workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI conference. Important Dates: * Paper submission deadline: June 11, 2018 (23:59 PST) * Notification of Acceptance: July 16, 2018 * Camera-ready Submission: July 23, 2018 * Workshop Date: September 20, 2018

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CALL FOR PAPERS
by Steve Mehrkanoon April 19, 2018

April 19, 2018

*CALL FOR PAPERS* *Special issue* Neural Systems Engineering and Mathematical Modelling of Brain Dynamics using ECoG/EEG/MEG Oscillations and Machine Learning Methods *Journal* IEEE Transactions on Neural Systems and Rehabilitation Engineering *Publication fee: **Free* Paper Submission Deadline: *31/05/2018* Submission portal: *https://mc.manuscriptcentral.com/tnsre-embs* <https://mc.manuscriptcentral.com/tnsre-embs> *PhD students, postdocs, early and mid career research fellows **are **welcome to **contribute to this spe**cial iss**ue**. * *Contributions will receive prompt and thorough peer review and will be published online ahead of print after acceptance.* In humans, interactions between neuronal circuits, systems and signals among micro-, meso- and macro-scales of brain dynamics underpin the functional organisation of the brain that supports our daily life activity. How efficiently neuronal circuits such as cortico-cortical, cortico-thalamic and thalamo-cortical networks interact among these multiple spatial scales remains to be fully elucidated. Mathematical, computational and experimental neuroscientists apply a variety of methods, techniques and algorithms, both in animals and humans, ranging from single cell recordings to whole brain imaging, in order to identify the core mechanisms that govern the interactions among these scales. Although our knowledge of neural mechanisms, circuits and networks underlying brain dynamics and functions constantly grows, the integration of this knowledge to provide a conceptual framework of emergent behaviour and pattern formation occurring on different levels of spatial organisation remains challenging. Authors are invited to submit original or review articles addressing mechanisms of emergent brain dynamics inferred from the analysis of ECoG/EEG/MEG, on all levels of complexity. Specifically, articles integrating (i) computational neuroscience, and (ii) mathematical models of biologically realistic neuronal networks and machine learning methods are welcome. In this special issue, Guest Editor Dr Steve Mehrkanoon welcomes papers that address many of the challenges of mathematical and computational models of the brain networks and dynamics given the measurement data ECoG/EEG/MEG. The scope of this special issue is interdisciplinary. The list of possible topics includes, but is not limited to: - New developments in computational and mathematical models of mean field theory integrated with ECoG/EEG/MEG modalities - Multi-modal and combinatorial fusion of ECoG/EEG/MEG data and brain connectivity machine learning - Development of data-driven machine learning techniques to identify the mechanisms of emergent spatia-temporal dynamics within the framework of network topology - Development of computational and mathematical models for bridging the scales of brain dynamics - Cortical network modelling and formal conceptual models of cortical oscillations - Application of deep learning and machine learning algorithms in functional, structural and effective network analysis and predictive models of brain dynamics. - New cutting-edge numerical analysis and techniques to simulate/implement - Adaptive mathematical and computational models of network dynamics (e.g., brain development and aging studies) - Statistical methods for assessing individual and population brain connectivity data *Guest Editors* 1. *Dr Steve Mehrkanoon* The University of Queensland Centre for Clinical Research, Faculty of Medicine, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia Contact: s.mehrkanoon(a)uq.edu.au 1. *Professor David Liley* Centre for Human Psychopharmacology, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia Contact: dliley(a)swin.edu.au 1. *Dr Siamak Mehrkanoon* Department of Electrical Engineering (ESAT), University of Leuven, KU Leuven, Belgium Contact: Siamak.Mehrkanoon(a)esat.kuleuven.be *IMPORTANT DATES* Paper Submission Deadline: 31/05/2018 Notification Of Acceptance: 31/08/2018 Special issue information https://tnsre.embs.org/2018/04/13/call-for-papers-special-issue-on-neural-s… - - - - *Dr Steve Mehrkanoon* Senior Mathematical Neuroscientist, Advance Queensland Research Fellow, Perinatal Research Centre, Faculty of Medicine, Home: http://researchers.uq.edu.au/researcher/14135 Level 4, UQ Centre for Clinical Research, Building 71/918 <https://www.google.com.au/maps/place/UQCCR/@-27.448514,153.028703,15z/data=…> Royal Brisbane and Women’s Hospital, Qld 4029 T: +61 7 33466012 CIRCOS Code 0025B The Faculty of Medicine is embracing the Green Office philosophy. Please consider the environment before printing this email. This email (including any attached files) is intended solely for the addressee and may contain confidential information of The University of Queensland. If you are not the addressee, you are notified that any transmission, distribution, printing or photocopying of this email is prohibited. If you have received this email in error, please delete and notify me. Unless explicitly stated, the opinions expressed in this email do not represent the official position of The University of Queensland.

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