- Comp-neuro - lists.cnsorg.org

Re: [Comp-neuro] Special Issue on Deep Learning Approaches for Brain-Computer Interfaces (Signals - MDPI)
by Panagiotis Petrantonakis Jan. 12, 2021

Jan. 12, 2021

Call For Papers for a Special issue on: *Deep Learning Approaches for Brain-Computer Interfaces* https://www.mdpi.com/journal/signals/special_issues/Brain_Computer_Interfac… *Special Issue Information* Brain–computer interfaces (BCIs) decipher and translate brain signals into commands for the surrounding environment. Different types of brain signals, e.g., EEG and fMRI, have been used as a means to decode intended user commands, and various machine learning approaches have been tested in such a task. With the advent of the deep learning (DL) era, new studies have emerged that exploit the advantages of the deep network architectures for BCI systems and depict more efficient and reliable brain signal decoding systems. The aim of this Special Issue is to provide a collection of forefront works investigating the deployment of various deep network types in different BCI applications using a variety of brain signals either of unimodal or multimodal signal processing framework. Topics of interest include but are not limited to the following: - Deep network architectures for BCIs; - Transfer learning in BCIs; - Big data for DL-based BCIs; - Fusion of multiple brain signals for BCIs using DL methods. *Guest Editor* Panagiotis Petrantonakis (ppetrant(a)iti.gr) Please do not hesitate to contact me for additional questions. Kind regards, Panagiotis

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Special session: Bio-inspired circuits, systems and algorithms for multimedia - CBMI-2021 (Lille)
by Teresa Serrano Jan. 11, 2021

Jan. 11, 2021

*Special session: Bio-inspired circuits, systems and algorithms for multimedia in conjunction with CBMI-2021 (June 28-30)* CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. The Special Session on bio-inspired circuits, systems and algorithms will be a mini-venue, focusing on the state-of-the-art and research direction of the emerging field of bio-inspired circuits, systems and algorithms and in the envisioned applications and breakthrough that the application of this bioinspired technology and algorithms can bring to the content-based multimedia indexing field development. Special session papers, which can be invited or submitted, will supplement the regular research papers and be included in the proceedings of CBMI 2021. The special session would include four to five papers, which can be invited, or regular submissions. In order to ensure the high quality of all conference papers, all papers submitted to the special session will be peer-reviewed through the standard review process, including invited papers. If the special session has many high-quality submissions, some of the submissions may potentially be moved to some regular sessions. Authors are encouraged to submit previously unpublished research papers including bioinspired circuits, systems and algorithms that address the use of the bioinspired technology and algorithms in the areas of search and retrieval, multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval, surveillance and security. Other applications areas of interest to the CBMI community not listed above maybe considered. *Organizer *: Teresa Serrano Gotarredona, IMSE-CNM —terese(a)imse-cnm.csic.es andcbmi2021-organisation(a)univ-lille.fr Submissions of papers for special sessions are open on EasyChair:https://easychair.org/conferences/?conf=cbmi2021. Please select the special session you apply to in the submission form. *STUDENT PARTICIPATION:* We strongly encourage students to participate in CBMI-21 event and submit their research. We strongly believe in their power, and they are the future of the research in content-based multimedia indexing. For these reasons and for the first time in the history of the conference, the 2021 edition of CBMI with support of ACM SIGMM (www.sigmm.org) will sponsor several students, authors of papers submitted and accepted by CBMI-21, and being corresponding author of a paper. The student status will be recognized only to PhDs and master students. Certain students will be totally sponsored, including registration fees, accommodations and travel expenses. Other students will be partly sponsored, including substantial reduction in the registration fees, no cut-backs to the students’ conference experience, and budget accommodation options and arrangement for room sharing. Furthermore, in this edition, prizes will be awarded to the best student poster presentations of CBMI2021. All the participants registered to CBMI2021 as student will be automatically admitted to the selection for the awards. All the papers accepted as poster presentation by the Technical Program Committee (TPC), from students will be considered for the awards, given that a full-paper manuscript has been submitted. The student poster awards committee will evaluate the nominated contributions during the poster sessions of CBMI2021. The evaluation criteria will be independently established by the Committee before the conference and will take into account the scientific content as well as the technical quality of the posters. The Student Poster Awards will be announced during the Gala Dinner, on June 29th. *Instructions to authors:* Special sessions papers will be included in the CBMI proceedings like regular papers. The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP - Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher). -- Teresa Serrano Gotarredona Investigadora Científica / Research Scientist Imagen Logo IMSE-CNM C/ Américo Vespucio, 28 Parque Científico y Tecnológico Cartuja 41092 Sevilla. SPAIN Ph.: +34 954 466 666 • Fax: +34 954 466 600

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PhD fellowship on dolphin communication and AI
by German Sumbre Jan. 11, 2021

Jan. 11, 2021

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PhD position in computational neuroscience at the European Neuroscience Institute
by Jan Clemens Jan. 11, 2021

Jan. 11, 2021

The Clemens lab the European Neuroscience Institute in Göttingen (Germany) is recruiting a PhD student. The position is part of a DFG funded joint project with Matthias Hennig (Berlin) in the priority program “Evolutionary Optimization of Neuronal Processing” (SPP 2205). The project will investigate how pattern recognition networks support the evolution of behavioral diversity, using acoustic communication in crickets as a model system. Building upon existing behavioral and circuit models, we will characterize the nonlinear mapping from circuit parameters to behavior using machine learning. We will combine large behavioral data sets from more than 20 different species, phylogenetic information, and computational modelling to investigate the evolutionary process that shaped the behavior in this species group. Hypotheses produced in the modelling approach will be tested with experimental collaborators in Berlin. Your profile - MSc in computational neuroscience, computational biology, physics, engineering, computer science or equivalent. - Strong quantitative and programming skills are required. - Experience with modelling, statistics, and machine learning. Our offer The position is for 4 years. The successful candidate will join one of the many excellent graduate schools on the Göttingen Campus. In addition, the candidate will be embedded in the diverse community formed by the members of SPP 2205. Application deadline: 15.2.2021 Start date: Spring/Summer 2021 How to apply? Please send your application as a single pdf to Jan Clemens ( clemensjan(a)gmail.com) including a CV as well as names and contact details of two references. Please include a short statement of why this project interests you and how you think you could contribute, based on your scientific background. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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PhD position in Machine learning with dynamic models
by Kerstin Bunte Jan. 10, 2021

Jan. 10, 2021

Dear colleagues, The Computer Science department at the University of Groningen in the Netherlands has a PhD position for interested candidates on "Machine Learning with dynamic models". We are accepting applications until March 1 2021. More information can be found under the following link: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Kind regards, Kerstin Bunte -- Kerstin Bunte, Assistant Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte(a)rug.nl Phone: +31 (0)50 363 3966 web: http://www.cs.rug.nl/~kbunte/

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International Symposium on Artificial Intelligence and Brain Science 2020 Online
by Kenji Doya Jan. 9, 2021

Jan. 9, 2021

We are going to hold an online symposium that brings together researchers in the forefront of AI and neuroscience. All talks will be made accessible as pre-recorded movies and we will have two-hour live discussion sessions on October 10-12, 2020. Registration is free and open till September 30. Please register from the web site below. ******** International Symposium on Artificial Intelligence and Brain Science http://www.brain-ai.jp/symposium2020/ Time below is in UTC (i.e., 10pm-0am Japan, 2pm-4pm UK, 9am-11am EDT, 6am-8am PDT) <Saturday, October 10th> 13:00 Get connected 13:15 Greetings: Kenji Doya (OIST) 13:30 Discussion on Keynote: Josh Tenenbaum (MIT) 14:00 Discussion on Session 1: Deep Learning and Reinforcement Learning Chair: Jun Morimoto (ATR) Discussant: Shunichi Amari (RIKEN) Speakers: Yann LeCun (NYU, Facebook), Yutaka Matsuo (U Tokyo), Doina Precup (McGill U) David Silver (DeepMind), Masashi Sugiyama (RIKEN AIP/U Tokyo IRCN) <Sunday, October 11th> 13:00 Discussion on Session 2: World Model Learning and Inference Chair: Hiroaki Gomi (NTT) Discussant: Mitsuo Kawato (ATR) Speakers: Ila Fiete (MIT), Karl Friston (UCL), Yukie Nagai (U Tokyo IRCN) Maneesh Sahani (Gatsby Unit), Tadahiro Taniguchi (Ritsumeikan U) 14:00 Discussion on Session 3: Metacognition and Metalearning Chair: Masayuki Matsumoto (Tsukuba U) Discussant: Keiji Tanaka (RIKEN) Speakers: Matthew Botvinick (DeepMind), Ryota Kanai (ARAYA), Angela Langdon (Princeton U) Hiroyuki Nakahara (RIKEN CBS), Xiao-Jing Wang (NYU) <Monday, October 12th> 13:00 Discussion on Session 4: AI for Neuroscience and Neuromorphic Technologies Chair: Takatoshi Hikida (Osaka U) Discussant: Kunihiko Fukushima (FLSI) Speakers: Jim DiCarlo (MIT), Yukiyaku Kamitani (Kyoto U), Rosalyn Moran (King’s College London) Terry Sejnowski (Salk Institute), Hidehiko Takahashi (Tokyo MDU) 14:00 Discussion on Session 5: Social Impact and Neuro-AI Ethics Chair: Masamichi Sakagami (Tamagawa U) Speakers: Anne Churchland (UCLA), Kenji Doya (OIST), Arisa Ema (U Tokyo IFI) Hiroaki Kitano (SONY CSL), Stuart Russell (UC Berkeley) Sponsor: KAKENHI Project on Artificial Intelligence and Brain Science (http://www.brain-ai.jp) Co-sponsors: RIKEN AIP (https://aip.riken.jp/?lang=en) U Tokyo IFI (https://ifi.u-tokyo.ac.jp/en/) U Tokyo IRCN (https://ircn.jp/en/) Contact: ncus(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Post Doc on AI and Behavior in London
by Dimitris Pinotsis Jan. 8, 2021

Jan. 8, 2021

Post Doc on AI and Behavior in London The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London—City is looking for a Post Doc with a strong background in AI/ Machine Learning and Behavioral Science. The Lab focuses on developing new algorithms for the analysis of behavioral data and human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications in Computational Neuroscience and Psychiatry and developing models of human behavior and brain pathology. Also, the Lab develops brain theories that can explain brain function, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also performs EEG recordings. The Post Doc shall conduct research at the intersection of human behavior and machine learning. She or he will build computational tools using state of the art machine learning algorithms. The position has an initial duration of 6 months. The successful candidate should have a PhD in machine learning, psychology, computational neuroscience, engineering or a related field. Expertise in one or more modern scientific computing programming language (Python, Matlab or R) is essential. Experience with large databases, SQL methods for data storage, web architectures and API development is an advantage. For informal inquiries, please email Dr. Dimitris Pinotsis at pinotsis(a)mit.edu

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PhD Studentships, University of Sussex, be.AI programme in Biomimetic Embodied AI
by Miguel Maravall Jan. 8, 2021

Jan. 8, 2021

Dear colleagues The University of Sussex is offering 6 PhD studentships within its new Doctoral Scholarship Programme funded by the Leverhulme Trust. This programme in Biomimetic Embodied AI investigates how intelligence arises from the interaction of the brain with the body and the environment. It includes multiple projects that link between AI and Neuroscience: http://www.sussex.ac.uk/ccnr/be_ai/proposals. Please see below for the announcement (*deadline is 31st Jan 2021*). The University of Sussex invites applications for PhD studentships within the be.AI Leverhulme Doctoral Scholarship Programme (www.sussex.ac.uk/ccnr/be_ai<http://www.sussex.ac.uk/ccnr/be_ai>) which will bring together researchers from the humanities, life sciences and computing to pursue artificial intelligence (AI) in its original definition of understanding natural intelligence by emulating it in artificial systems. In our unique interdisciplinary centre, we will advance understanding of how the interaction between brain, body and environment gives rise to intelligence and how this insight can be used to build novel artificial intelligence. As a be.AI Scholar you will: * Be funded for 3.5 years with a tax free living allowance at the standard Research Council rate - currently £15,009 per year- and UK fees * Be eligible for generous financial support of up to £4,000 per year for training and research expenses, such as conference trips and experimental costs * Be eligible to apply for one of three 12 month postdoctoral research fellowships, available only to completing Leverhulme be.AI scholars * Benefit from supervision by world-leading researchers in many different aspects of AI * Benefit from taught courses in topics, such as ethics and data science. The Programme will fund three intakes of 6 students per year, starting in September 2021 (application deadline 31st January 2021). You will be registered within one of the participating schools (Life Sciences, Engineering and Informatics, Psychology, Philosophy, Media Film & Music) but will be encouraged to perform cross-disciplinary research with academics across Schools. In be.AI, you will work in a community of like-minded students and researchers supported by your own research seminars, invited lectures by world leading speakers, as well as student-led conferences and cohort building events. We are passionate about creating an interdisciplinary cohort of researchers, so we expect successful applicants to see beyond their disciplinary boundaries and embrace the opportunity to work at the intersection of multiple fields. For further details, including how to apply, see http://www.sussex.ac.uk/ccnr/be_ai Thanks! Miguel Prof Miguel Maravall (he/him) Director, Sussex Neuroscience Academic lead, Athena SWAN & gender equality, University of Sussex School of Life Sciences University of Sussex Falmer Brighton BN1 9QG United Kingdom http://www.sussex.ac.uk/lifesci/maravalllab/

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Postdoctoral Positions in Theoretical Neuroscience, Higher School of Economics, Moscow Russia FEB 14 DEADLINE
by boris gutkin Jan. 7, 2021

Jan. 7, 2021

Post-doctoral position in Theoretical Neuroscience DEADLINE 14 February More Information: https://iri.hse.ru/theoretical_neuroscience2021 <https://iri.hse.ru/cognitive_neuroscience3> Application link: https://iri.hse.ru/polls/323647081.html <https://iri.hse.ru/polls/323647081.html> The Higher School of Economics Centre for Cognition & Decision Making <https://www.hse.ru/en/cdm-centre/> of the Institute of Cognitive Neuroscience in Moscow, Russia, invites applications for postdoctoral research positions in computational and mathematical approaches to understanding neural function and cognition at Theoretical Neuroscience Group (TNG). Research interests of the TNG at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group’s research programme. We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data is highly desired. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE’s Centre for Cognition & Decision Making <https://www.hse.ru/en/cdm-centre/> with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior <http://iec-lnc.ens.fr/group-for-neural-theory/?lang=en> in Paris, where research internships and visiting positions can be made available. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship(a)hse.ru <mailto:fellowship@hse.ru> before the application deadline. Please note that direct applications to the hiring department may not be reviewed. More information can be also obtained from bgutkin(a)hse.ru <mailto:boris.gutkin@hse.ru>

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Fully funded doctoral position at Ecole Normale Superieure and CentraleSupelec Paris in AI/Cognitive Computational Neuroscience/Quantitative Finance from fall 2021
by boris gutkin Jan. 7, 2021

Jan. 7, 2021

Fully funded doctoral position in multi-agent modelling of financial markets and cognitive computational neuroscience. Laboratory for Cognitive and Computational Neuroscience at the Ecole Normale Superieure Paris and the Chair for Quantitative Finance at CentraleSupelec are looking for exceptional candidates to work on a doctorate as a part of a collaborative project spanning development of multi-agent models of stock markets (e.g. see Lussange et al 2020, Bavard et al 2018, da Gamma Battista 2017) and the effects of human cognitive traits and bounded rationality on the market dynamics. The candidate will be physically based at ENS. The student will be advised by Damien Challet (Chair for Quantative Finance, CentraleSupelec) and Boris Gutkin (Mathematics of Neural Circuits Team, LNC2, ENS) and collaborate closely with Stefano Palminteri (Human Reinforcement Learning Team, LNC2, ENS). The student will have an opportunity to be involved in all aspects of the project, from computational modelling to behavioral experiments to data mining. Industrial applications of the project outcomes can also be explored as well as a potential collaboration with Capital Fund Management, Paris. More information can be found at: https://psl.eu/recherche/grands-projets-de-recherche/projets-europeens/prog… <https://psl.eu/recherche/grands-projets-de-recherche/projets-europeens/prog…> https://euraxess.ec.europa.eu/jobs/580403 <https://euraxess.ec.europa.eu/jobs/580403> Start expected in fall 2021. Elibigibility: Master’s degree or equivalent in a quantitative discipline. There is no nationality or age criteria, but applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before the deadline of the call Interested candidates should contact boris.gutkin(a)ens.fr <mailto:boris.gutkin@ens.fr> before January 30 to discuss their application to the program Bavard S, *Lebreton M, Khamassi M, Coricelli G, Palminteri S. Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences <https://www.google.com/url?q=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs414…>. Nature Communications (2018). da Gama Batista, Joao, Domenico Massaro, Jean-Philippe Bouchaud, Damien Challet, and Cars Hommes. "Do investors trade too much? A laboratory experiment." Journal of Economic Behavior & Organization 140 (2017): 18-34. Lussange, J., Lazarevich, I., Bourgeois-Gironde, S., Palminteri, S., Gutkin, B. (2020) Modelling Stock Markets by Multi-agent Reinforcement Learning. Comput Econ. https://doi.org/10.1007/s10614-020-10038- <https://doi.org/10.1007/s10614-020-10038->w

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