- Comp-neuro - lists.cnsorg.org

Research fellowships at the Univ. of Birmingham/UK
by Michael Biehl June 2, 2021

June 2, 2021

*Two research fellowships at the * *Centre for Systems Modelling and Quantitative Biomedicine, College of Medical and Dental SciencesUniversity of Birmingham /UK **Full time, fixed term for 3.5 years* *Closing Date *27th June 2021. Online interviews will take place on 20th July 2021 For further details and information about how to apply visit *https://www.jobs.ac.uk/job/CGC736/research-fellows <https://www.jobs.ac.uk/job/CGC736/research-fellows> * (do not reply to this message, do not contact M. Biehl directly) The successful candidates will be educated to PhD level and have experience in one or more of the following areas: Position 1: mathematical models; complex networks, (nonautonomous) dynamical systems, bifurcation theory or numerical continuation. Having relevant experience in biology or medicine will be advantageous. Position 2: computational methods; machine learning, neural networks, data visualisation and analytics, artificial intelligence, Bayesian inference, or algorithm development. Having relevant aligned experience in biology, medicine, or wearable technologies will be advantageous. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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EITN workshop on "Computational Neuroscience in EBRAINS", 10 june 2021
by Zélie Tournoud June 2, 2021

June 2, 2021

Dear colleagues, We are happy to invite you to attend to the EITN (European Institute for Theorethical Neuroscience) workshop on "Computational Neuroscience in EBRAINS" taking place online on *June 10th, 2021, starting from 13:00 CEST*. Attendance is free and open to everyone upon registration, feel free to share the event to your collaborator who might be interested in the topic. To automatically receive your access link by email before the event, *register online* on this page: Register to the Zoom meeting <https://zoom.us/meeting/register/tJ0vd-CoqzkoHNTvv9UhOQ0Qbnex9MikG2F1>. The detailled program is available on this page <https://www.eitn.org/index.php/calendar-event/eventdetail/744/-/workshop-on…> that will be kept updated. * *Description of the workshop:* Organized by Andrew Davison (CNRS), Viktor Jirsa (AMU) and Alain Destexhe (CNRS). EBRAINS is a open-access platform built by the Human Brain Project and which provides tools for various applications in neuroscience. The aim of this workshop is to introduce some of the EBRAINS tools that are of particular interest for applications in computational neuroscience. These tools provide help to simulate models, from the cellular to the whole-brain level. Each tool will be introduced, then a "live demo" will be provided to demonstrate its use. As a companion to this workshop, we plan to provide recordings of each session on a YouTube channel, as well as scripts that were used in for the live demos. * *List of speakers:* Egidio d'Angelo (Pavia) Claudia Casellato (Pavia) Florent Bonnier (CNRS) Petrut Bogdan (U Manchester) Andrew Davison (CNRS) Alain Destexhe (CNRS) Timo Dickscheid (Jülich) Jan Fousek (AMU) Alice Geminiani (Pavia) Jennifer Goldman (CNRS) Brent Huisman (Jülich) Viktor Jirsa (AMU) Carmen Lupascu (CNR) Armando Romani (BBP/EPFL) Michael Schirner (Charité) Sam Yates (CSCS) We look forwards on seeing you on the 10th of June! Thank you and have a great day, /The EITN Team/

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[Journals] 2nd CFP: Special Issue on "Theory of Mind in Humans and in Machines"
by Bogdan Ionut Cirstea June 1, 2021

June 1, 2021

Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK), Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK) and Dr. Christelle Langley (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-… Papers may be submitted until the 30th of July 2021 (manuscript submission extended deadline). Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: • Computational Theory of Mind • Learning from Demonstrations • Cognitive Models for Learning from Demonstration and Planning • Neuroscience-inspired models of Theory of Mind • Human-Robot Interaction • Cooperative Inverse Reinforcement Learning (assistance games) • Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, -- Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin(a)brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001(a)cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea(a)brookes.ac.uk> Dr. Christelle Langley, University of Cambridge, UK <cl798(a)medschl.cam.ac.uk >

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Evolving Neural Networks workshop
by manuel molano June 1, 2021

June 1, 2021

Dear all, We are glad to announce the 1st Evolving Neural Networks Workshop (June 17, 2021). The goal of the workshop is to bring together experts from Systems and Computational Neuroscience, Machine Learning and the Evo-Devo field to discuss if and how knowing the evolutionary history of neural circuits can help us understand the way the brain works, as well as the relative importance of learned VS innate neural mechanisms. We have a great list of speakers from the fields of Systems and Computational Neuroscience, Machine Learning and Evolutionary Developmental (Evo-Devo) biology. If you are interested REGISTER HERE<https://docs.google.com/forms/d/e/1FAIpQLSfO69TaE5Tk4eUysh4eCnJ7tlJYRTCcE_m…>, it is free! For more information visit our webpage<https://sites.google.com/view/evolving-nns/home> or contact evolvingneuralnetworks(a)gmail.com<mailto:evolvingneuralnetworks@gmail.com> We hope to see you soon! SCHEDULE (Eastern Time) 8-8.10 Intro 8.10-8.35 Pamela Lyon What basal cognition can do for you (neuroscientists) 8.35-9.00 Luis Puelles Brain evolution crosses an ontogenetic 'ant's country' that escapes analysis 9.00-9.25 Paul Cisek The evolution of the human brain, long before humans 9.25-9.50 Robert Yang Evolving the Olfactory System with Machine Learning 09.50-10.20 Discussion 10.20-10.40 Break 10.40-10.50 Intro 10.50-11.15 Linda Wilbrecht Considering contextual factors at acute and evolutionary timescales in the study of learning and decision making 11.15-11.40 Ida Momennejad TBA 11.40-12.05 Dayu Lin Neural mechanisms of aggression 12.05-12.30 Tony Zador Learning through the Genomic Bottleneck 12.30-13.00 Discussion

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Job: Engineer in MEG-EEG signal processing and open-source software development
by Franco Pestilli May 31, 2021

May 31, 2021

The Paris Brain Institute is recruiting a motivated individual to join the *MEEGbrainlife* project, introducing MEG and EEG data processing pipelines on the open-access brainlife.io cloud computing platform. This is a 18-24 months contract funded jointly by the French ANR and the American NIH under the international program call « Collaborative Research in Computational Neuroscience » (CR‐CNS). The successful candidate will be responsible for planning, developing, and maintaining *MEG‐EEG data processing Apps into brainlife.io <http://brainlife.io/>* and *contribute to innovative research projects* on the platform. In close collaboration with the expert members of the MEEGbrainlife consortium, he/she will define data specifications, code architecture, data and code output quality check procedures to set the groundwork for the rapid development of a full data processing pipeline for MEG‐EEG data into brainlife.io. *More information and contact* for the application available here: https://owncloud.icm-institute.org/index.php/s/MBrIpIFcH3F9lV5 *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

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pre- and post-doc neuromorphic fellowships at the Sevilla Microelectronics Institute
by bernabe May 31, 2021

May 31, 2021

Dear all, The Neuromorphic group at IMSE (Sevilla Microelectronics Institute, Spain) wellcomes candidates to apply for pre- and post-docs fellowships on neuromorphic engineering. Please visit our web-site at www.imse-cnm.csic.es/neuromorphs to find out about our running projects, activities, and publications. More details on the fellowships (duration/salary/contact) is given at: http://www2.imse-cnm.csic.es/neuromorphs/index.php/News-and-position-openin… cheers, -- Bernabe Linares-Barranco, Director Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC, Sevilla, Spain

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Job opening: Research Scientist - Computational Neuroscience and Machine Learning/AI
by Michiel Remme May 30, 2021

May 30, 2021

Dear Colleagues, Our startup INAIT, based in Lausanne, Switzerland, is seeking a permanent and full-time Research Scientist at the intersection of computational neuroscience and machine learning/AI. Are you interested in developing new machine learning/AI methods based on neuroscientific insights, and apply them to business problems? Then come join us! Major duties and responsibilities: * Contribute to the research and development of the next generation of neuroscience-inspired machine learning/AI methods * Contribute to the development of computational models of detailed and/or simplified neuronal networks * Work closely with a team of computational neuroscientists, machine learning engineers and software developers towards business solutions Essential skills and experience required: * PhD in computational neuroscience or related field (or equal experience: Masters and 4+ years of research experience) * Research involving learning and/or dynamics in rate-based and/or spiking neural networks * Experience in machine learning using frameworks such as scikit-learn, PyTorch or TensorFlow * Successful publication record * Experience in Python code development * Experience using UNIX/Linux operating systems * Excellent team player * Fluent spoken and written English Preferred: * Experience with a computational neuroscience simulation framework such as NEST, NEURON or Brian * Experience in scientific computing on shared and/or distributed parallel machines * Experience in the software development life-cycle including unit testing, continuous integration, version control, debugging and documentation * Successful track record in designing, developing and maintaining software projects Where: Lausanne, Switzerland Start date: As soon as possible Activity rate: 100% Duration of contract: CDI Competitive salary & benefits Cutting edge research, Positive work environment, Hybrid work model (combination of WFH and work from the office) For applications visit apply.workable.com/inait<http://apply.workable.com/inait/> INAIT SA https://www.inait.ai<https://www.inait.ai/> Avenue du Tribunal Fédéral 34 1005 Lausanne Switzerland

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Call for papers for MLCN2021 workshop at MICCAI 2021
by MLCN Workshop May 30, 2021

May 30, 2021

*Please find below the call for papers for the International Workshop of Machine Learning in Clinical Neuroimaging (MLCN) which is held virtually on the 27th of September 2021 at MICCAI 2021 in Strasbourg, France. We welcome contributions to novel machine learning methods and their applications to clinical neuroimaging data.* The submission deadline is *25 June 2021*, and all MLCN accepted papers will be eligible for the best paper award of 500 USD. For more information, please visit https://mlcnws.com/call-for-papers/*.* Best wishes, The MLCN 2021 steering and organizing committees Christos Davatzikos, Andre Marquand, Jonas Richiardi, Emma Robinson Ahmed Abdulkadir, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Jane Maryam Rondina, Chantal Tax, Thomas Wolfers ================================================================================================ Call for Papers The International Workshop of Machine Learning in Clinical Neuroimaging ( https://mlcnws.com/) a satellite event of MICCAI (https://miccai202 <https://miccai2021.org/>1 <https://miccai2020.org/>.org <https://miccai2021.org/>), calls for original papers in the field of clinical neuroimaging data analysis with machine learning. The two tracks of the workshop include methodological innovations as well as clinical applications. This highly interdisciplinary topic provides an excellent platform to connect researchers of varying disciplines and to collectively advance the field in multiple directions. In the machine learning track, we seek novel contributions that address current methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous clinical neuroscientific data using stable, scalable, and interpretable machine learning models. Topics of interest include but are not limited to: - Big data - Spatio-temporal brain data analysis - Structural data analysis - Graph theory and complex network analysis - Longitudinal data analysis - Model stability and interpretability - Model scalability in large neuroimaging datasets - Multi-source data integration and multi-view learning - Multi-site data analysis, from preprocessing to modeling - Domain adaptation, data harmonization, and transfer learning in neuroimaging - Unsupervised methods for stratifying brain disorders - Deep learning in clinical neuroimaging - Model uncertainty in clinical predictions - … In the *clinical neuroimaging *track*,* the applications of existing machine learning algorithms are evaluated to move towards precision medicine for complex brain disorders. The discovery of biological markers in medicine is an important challenge across different fields and various experimental procedures and designs are used to detect biological signatures that can be utilized for improvement in diagnostic, treatment, or for other beneficial ends. However, for most complex brain disorders, we do not have reliable biomarkers today. The application of advanced machine learning methods may help to reach this goal. Therefore, we invite the community to submit conference contributions on machine learning approaches with the goal to improve our understanding of complex brain disorders, moving the field closer towards precision medicine. Topics of interest include but are not limited to: - Biomarker discovery - Refinement of nosology and diagnostics - Biological validation of clinical syndromes - Treatment outcome prediction - Course prediction - Analysis of wearable sensors - Neurogenetics and brain imaging genetics - Mechanistic modeling - Brain aging - The presentation of clinical neuroimaging databases to stimulate developments in machine learning - … ------------------------------ Submission Process: The workshop seeks high-quality, original, and unpublished work that addresses one or more challenges described above. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style (see https://miccai2021.org/en/PAPER-SUBMISSION-GUIDELINES.html for detailed author guidelines) using the CMT system at https://cmt3.research.microsoft.com/MLCN2021. The page limit is 8-pages (text, figures, and tables) plus up to 2-pages of references. We review the submissions in a double-blind process. Please make sure that your submission is anonymous. Accepted papers will be published in a joint proceeding with the MICCAI 2021 conference. ------------------------------ MLCN Special Issue at the MELBA journal: This year, we will invite the top accepted papers to submit an extended version of their contribution to the MLCN special issue at the Journal of Machine Learning for Biomedical Imaging (MELBA) <https://www.melba-journal.org/about>. The invited papers will go through an independent review process by the journal. ------------------------------ Best Paper Award: All MLCN accepted papers will be eligible for the best paper award. The recipient of the award will be chosen by the MLCN scientific committee based on the scientific quality, novelty, and clarity of contributions. The winner will be announced at the end of the workshop and will receive a 500 USD honorarium. ------------------------------ Important Dates: - Paper submission deadline: June 25, 2021, 11:59 PM Pacific Time - Notification of Acceptance: July 16, 2021 - Camera-ready Submission: July 30, 2021 - Workshop Date: September 27, 2021

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Postdoc in Cognitive and Systems Neuroscience
by Theresa Desrochers May 28, 2021

May 28, 2021

Applications for Postdoctoral Research Associate are being sought for a unique opportunity to study sequential control in the laboratory of Dr. Theresa Desrochers in the Department of Neuroscience at Brown University. Successful candidates will have interest in human behavior, fMRI, TMS, computational psychiatry, and OCD. The Desrochers Lab provides a unique cross-level and cross-species training environment situated within a highly collaborative research environment fostered by Brown University and the Carney Institute for Brain Science. Prior experience in human neuroimaging and strong quantitative skills are preferred. All interested candidates regardless of level of experience with these methods are encouraged to apply. Applicants must hold a Ph.D. in Neuroscience, Cognitive Science, Psychology, or a related discipline or must show evidence that the Ph.D. will be completed before the start of the position. Brown University is an EEO/AA employer and encourages applications from minorities and women. Review of applications will begin immediately and will continue until the position is filled or the search is closed. For more information, please contact theresa_desrochers(a)brown.edu. Please apply via Interfolio at https://apply.interfolio.com/87606 <https://apply.interfolio.com/87606>. ~Theresa — Theresa M. Desrochers, Ph.D. Rosenberg Assistant Professor of Brain Science Departments of Neuroscience; Psychiatry and Human Behavior (courtesy) Carney Institute for Brain Science, Brown University http://neuroscience.brown.edu/desrochers

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PhD positions at Vrije Universiteit Amsterdam
by Avitabile, D. May 28, 2021

May 28, 2021

Dear colleagues, The Department of Mathematics at the Vrije Universiteit Amsterdam invites applications for 2 PhD positions, in computational and analytical methods form neuroscience applications. One project concerns uncertainty quantification methods for spatially-extended models in neuroscience. The ideal candidate for this project has a passion for numerical methods (numerical analysis, scientific computing) and is keen to make an impact in a novel application for the neurosciences. Previous knowledge of neuroscience concepts is not a prerequisite, but a firm interest in learning about neuroscience models and applications is essential. The project will be co-supervised by Svetlana Dubinkina (VU), Gabriel Lord (Radboud University), and myself. The second PhD project is about multiple timescale analysis for neural fields, and it aims to develop slow-fast dynamical system methods for spatially-extended systems. The ideal candidate has a passion for dynamical system theory and is interested in applying bifurcation analysis to PDEs and integral equations. Previous knowledge of neuroscience concepts is not a prerequisite. The project will be cosujervised by Jan Bouwe van den Berg (VU) and myself. It will also involve a network of scientific collaborators: Mathieu Desroches (INRIA, Sophia Antipolis, France), Grégory Faye (University Paul Sabatier, Toulouse, France) and Martin Wechselberger (University of Sydney, Australia). More information can be found at the link below https://werkenbij.vu.nl/ad/phd-positions-in-mathematical-neuroscience/ngla4… The deadline for applications is the 13th of June 2021. Informal enquiries can be sent to d.avitabile(a)vu.nl Daniele Avitabile Associate Professor in Applied Mathematics Vrije Universiteit Amsterdam www.danieleavitabile.com

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Bernstein Conference 2021 - call for abstracts
by Anja Dorrn May 27, 2021

May 27, 2021

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. Due to the ongoing pandemic the Bernstein Conference will be held online. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 21-23, 2021 * Abstract submission open: June 1, 2021 * Deadline for submission of abstracts to be considered for Contributed Talks: July 1, 2021 * Deadline for abstract submission: August 3, 2021 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission will open on June 1. Further information can be found here: https://bit.ly/BC21_abstracts ____ INVITED SPEAKERS Keynote Timothy Behrens (University of Oxford, UK) Invited Talks Athena Akrami (University College London, UK) Nadine Gogolla (Max Planck Institute for Neurobiology, Martinsried, Germany) Guillaume Hennequin (University of Cambridge, UK) Jennifer Li & Drew Robson (Max Planck Institute for Biological Cybernetics, Tübingen, Germany) Scott Lindermann (Stanford University, USA) Ashok Litwin-Kumar (Columbia University, New York City, USA) Ida Momennejad (Microsoft Research, New York City, USA) Cristina Savin (New York University, USA) Marion Silies (Johannes Gutenberg University, Mainz, Germany) Daniela Vallentin (Max Planck Institute for Ornithology, Seewiesen, Germany) ____ CONFERENCE COMMITTEE Christian Leibold (Conference Chair) Julijana Gjiorgjieva (Program Chair) Christian Machens (Program Vice Chair) Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) & Matthew Botvinick, Megan Carey, Peter Dayan, Brent Doiron, Rainer Friedrich, Ann Hermundstad, Srdjan Ostojic, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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MOVING FORWARD FROM COVID-19 VIRTUAL STUDENT FORUM
by James Bower May 26, 2021

May 26, 2021

Dr. James M. Bower Ph.D. Executive Director Pacific Division AAAS Affiliate Professor of Biology Southern Oregon University 541-499-7502 Hello everyone. I thought (and hope) that there might be some interest among Computational Neuroscience students in this somewhat unusual, but I hope interesting on-line event I am organizing for AAAS. Any student anywhere in the world can participate. Happy to answer questions, but here is the announcement. Happy to answer questions and please pass the word on to others who might be interested. And look forward to seeing you all at CNS*2021, 30 years - hard to imagine. :-) Jim Bower Applications are now being accepted for our VIRTUAL MOVING FORWARD FROM COVID-19 FORUM. Moving on The virtual forum includes two events: A STUDENT RESEARCH FORUM in which students will present their scientific goals and plans for the future and also interact with scientists as well are representatives of colleges and universities. 2021 Student Research Conference All students are eligible to participate from high school to post-graduate, including citizen scientists. (Application deadline June 22, but best to apply as soon as you can) Additional information on the forum as well as how to apply can be found here: 2021 forum abstract instructions And a TEACHER WORKSHOP on lessons learned from K-12 hybrid and on-line learning over the last year: 2021 educator workshop Participation is open to all K-12 teachers as well as informal educators (best to apply early). IF YOU KNOW A STUDENT OR TEACHER WHO MIGHT LIKE TO ATTEND THIS FORUM, PLEASE FORWARD THIS EMAIL. Registration is also now open for those who would like to attend, even if not presenting: 2021 paid participant form COME JOIN US AS WE MOVE FORWARD FROM COVID-19 This email was sent to bowerj(a)sou.edu by admin(a)aaaspd.org American Association for the Advancement of Science Pacific Division • AAAS Pacific Division / Biology Department, 1250 Siskiyou Blvd, Ashland, Oregon 97520, United States • 541-552-8457 Remove My Email or Manage Preferences • Privacy Policy

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[CFP] Call for abstracts: Computational Cognition workshop (COMCO 2021)
by Juliane Schwab May 26, 2021

May 26, 2021

We are pleased to announce the 2nd "Computational Cognition" workshop, hosted by the DFG-funded Research Training Group by the same name at the Institute of Cognitive, Osnabrück University (Germany). The workshop will be held remotely on September 23 – 24, 2021. In this workshop, we pursue to (re-)integrate research from areas concerned with low- and high-level cognition. Much is understood regarding the neural signals underlying basic sensorimotor processes, as well as the cognitive processes involved in reasoning, problem solving, and language. However, understanding how high-level cognition can arise from low-level mechanisms is a long-standing open problem in cognitive science. Artificial intelligence has recently made great progress on many cognitive tasks using (deep) neural networks. At the same time, cognitive scientists have explored similar ideas, such as predictive coding for unified neural theories of learning. Thus, by bringing together ideas from cognitive science and Al we hope to generate new insights into human and machine intelligence alike. ***Confirmed invited speakers*** Jacob Andreas (MIT), Richard Baraniuk (Rice University), Tom Griffiths (Princeton University), Andrea E. Martin (Max Planck Institute for Psycholinguistics), Claire Sergent (Université de Paris), Agnieszka Wykowska (Istituto Italiano di Tecnologia) *****Call for abstracts***** We invite abstracts for papers from all areas of cognitive science. Submissions should have a strong computational focus, and may concern research questions in low- or high-level cognition. Topics include but are not limited to… -Computational neuroscience -Artificial intelligence -Mathematical and computational models of higher-order cognition (e.g., language, decision making, inference) -Mathematical and computational models of low-level cognition (e.g., signal processing, semantic classification) -Natural language processing and computational models of language -Machine learning and Deep Learning -Empirical studies conducted in relation to either of the above Abstracts should be submitted anonymously. The main text should not exceed one A4 page (12pt font, 2.54 cm/1 inch margins), with an optional second page for additional materials such as tables, figures, and references. Abstracts can be considered for a 30-minute talk or poster. Please indicate when submitting whether you would like the abstract to be considered for a talk, poster, or both. To do so, add the labels "talk", "poster", or "talk/poster" to the title in the submission form (e.g., title: "My first submission (talk/poster)"). The deadline for submission is June 30, 2021 (11:59 pm CEST). We expect to notify authors of the decision by early August 2021. You may submit your abstracts here: https://easychair.org/conferences/?conf=comco2021 Further information is available on the conference website: https://comco2021.uni-osnabrueck.de/ For any inquiries please contact: comco(a)uni-osnabrueck.de Kind regards The COMCO 2021 organizing committee Michael Marino, Xenia Ohmer, Gabriela Pipa, and Juliane Schwab -- -- Juliane Schwab, M.Sc. RTG Computational Cognition Research Group Psycho- and Neurolinguistics Osnabrück University Institute of Cognitive Science Wachsbleiche 27 49090 Osnabrück Germany office: 50/104 email: jschwab(a)uos.de phone: +49-541-969-2247

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Last Call: Postdoctoral Fellowship / Fellowship for Junior Researchers, Prague, Czech Republic
by pokornam May 25, 2021

May 25, 2021

The Institute of Computer Science (ICS) of the Czech Academy of Sciences (CAS) offers FELLOWSHIPS FOR OUTSTANDING AND ENTHUSIASTIC JUNIOR RESEARCHERS, PhD holders, open to cooperation with some of the researchers of the Institute (www.cs.cas.cz) For more information on the position please see https://www.cs.cas.cz/job-offer/ics-postdoctoral-fellowship-2021/en _THE CLOSING DATE FOR APPLICATION IS 31ST MAY 2021._ The Czech Academy of Sciences is the biggest institution conducting basic research in the Czech Republic. It covers 54 research institutes, the Institute fo Computer Science being one of them.

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LAST CALL: Tenure Track Research Position - Computer Science, Prague, Czech Republic
by pokornam May 25, 2021

May 25, 2021

THE CZECH ACADEMY OF SCIENCES IS THE BIGGEST INSTITUTION CONDUCTING BASIC RESEARCH IN THE CZECH REPUBLIC. IT COVERS 54 RESEARCH INSTITUTES, THE INSTITUTE OF COMPUTER SCIENCE BEING ONE OF THEM. LAST CALL: The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for one TENURE‐TRACK POSITION IN COMPUTER SCIENCE and related areas fitting and/or expanding its current research focus, consisting mainly of: artificial intelligence, combinatorics, complex dynamic systems, computational complexity, data-mining, mathematical logic, statistics. _THE CLOSING DATE FOR APPLICATION IS 31ST MAY 2021._ For more information on the position please see https://www.cs.cas.cz/job-offer/Tenure-Track-Position-Computer-Science-2021… [1], or contact us at posinfo(a)cs.cas.cz Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic http://www.cs.cas.cz [2] Links: ------ [1] https://www.cs.cas.cz/job-offer/Tenure-Track-Position-Computer-Science-2021… [2] http://www.cs.cas.cz/

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13+ PhD positions in BioRobotics at the BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
by Calogero Maria Oddo May 22, 2021

May 22, 2021

************************************************************************************** 13+ PhD positions in BIOROBOTICS at Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/sites/default/files/flyer_phd_biorobotics_2021_… ************************************************************************************** The PhD Program in BioRobotics is a three-year course managed by the BioRobotics Institute (https://www.santannapisa.it/en/institute/biorobotics/biorobotics-institute) linked to the Department of Excellence in Robotics & AI, at Sant'Anna School of Advanced Studies, in Pisa (Italy). The PhD in BioRobotics is one of the largest doctoral schools worldwide in biomedical engineering and robotics, with 100+ PhD students enrolled. In the last release of the Times Higher Education (THE) ranking, Sant'Anna School of Advanced Studies is listed 4th worldwide among young universities (https://www.santannapisa.it/en/university/rankings) All PhD positions are fully funded by Sant'Anna School of Advanced Studies and research projects of The BioRobotics Institute. The number of positions awarded is expected to be expanded with additional fellowships that may be available before the start of the PhD course in October 2021. The students are educated in a stimulating and multidisciplinary environment, both through high-level courses and through demanding, creative and original research work. PhD projects are carried out in very well equipped, state-of-the-art laboratories (in such fields as micro-engineering, biomedical engineering, biomimetic and soft robotics, rehabilitation technologies, surgical robotics and neural engineering, robot companions) and through individual and teamwork performed under the supervision of a full-time faculty. The PhD programme in BioRobotics guarantees a wide and multidisciplinary educational offer, organized both on horizontal clusters, which contain the fundamental teachings on the scientific issues characterizing the cultural approach of BioRobotics, and on vertical clusters, which contain the courses proposed by the scientific themes of The BioRobotics Institute, namely: wearable and collaborative technologies, artificial organs and prostheses, medical robotics and regenerative medicine, mathematical and computational modeling, bioinspired and soft robotics, bioelectronics and neuroscience robotics (https://www.santannapisa.it/en/institute/biorobotics/research-themes) ADMISSION: Students are admitted to the PhD Program following a successful entrance examination. Eligible applicants must hold a Master of Science (M.Sc.) degree or equivalent. Undergraduate students may also apply if they graduate within Oct. 31, 2021. START: Oct. 1, 2021 CALL details: https://www.santannapisa.it/en/admissions/call-admission-phd-biorobotics-4 APPLY at: www.santannapisa.it/en/education/phd-biorobotics<http://www.santannapisa.it/en/education/phd-biorobotics> DEADLINE: June 3, 2021 CONTACT: PhDBiorobotics(a)santannapisa.it<mailto:PhDBiorobotics@santannapisa.it> Best regards, Arianna Menciassi and Calogero M. Oddo, on behalf of the PhD Board -- Calogero M. Oddo, Associate Professor of Bioengineering PhD BioRobotics, MSc and BSc Electronic Engineering https://www.santannapisa.it/en/calogero-maria-oddo https://scholar.google.com/citations?user=y1rffgkAAAAJ&hl=en Vice-Coordinator of the PhD programme in BioRobotics, Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/education/phd-biorobotics Head of the Neuro-Robotic Touch Laboratory Neuro-robotics Area, The BioRobotics Institute, Sant'Anna School of Advanced Studies, Pisa, Italy Viale Rinaldo Piaggio 34, 56025, Pontedera (PI), Italy http://www.santannapisa.it/en/neuro-robotic-touch-laboratory Department of Excellence in Robotics & AI, Sant'Anna School of Advanced Studies, Pisa, Italy Piazza Martiri della Libertà, 33 - 56127 Pisa, Italy https://www.santannapisa.it/en/robotics-ai IEEE Senior Member, Founding Vice-Chair of the Italian Chapter of the IEEE Sensors Council (2018-20) http://sites.ieee.org/italy-sensors/about-ieee Office: +39050883067; Mobile: +393316992273; email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it>

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Registration for the Virtual Workshop on Functional Logic of Neural Circuits: Diamonds in the Rough
by Aurel A. Lazar May 21, 2021

May 21, 2021

Registration for the Virtual Workshop on Functional Logic of Neural Circuits: Diamonds in the Rough, June 10-11, is now open at https://sites.google.com/njit.edu/diamonds <https://sites.google.com/njit.edu/diamonds>. Aurel http://www.bionet.ee.columbia.edu

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23 positions available to study The Adaptive Mind
by Constantin Rothkopf May 21, 2021

May 21, 2021

The Universities of Giessen, Marburg, and Darmstadt together with the University of Frankfurt and the Frankfurt Institute for Advanced Studies (FIAS) aim strategically to further strengthen research in the field of Mind, Brain, and Behavior by establishing a cluster project The Adaptive Mind. Supported by the Hessen State Ministry for Higher Education, Research and the Arts, applications for 11 Doctoral researcher positions (65%, 75% or 100%) and 12 PostDoc positions (100%) are invited. The positions are available immediately and are fixed maximally up to 31.03.2025. If the requirements are met, the position will be paid according to pay group 13. The place of employment will be Giessen, Marburg, Darmstadt or Frankfurt. In The Adaptive Mind, we combine rigorous behavioral and neurophysiological research methods and theories from experimental psychology, with the unique patient-oriented insights of psychiatry and clinical psychology and the power of quantitative analysis and computational modeling by artificial intelligence. Our goal is to observe empirically, describe quantitatively, and model computationally how the human mind continually adapts in an ever-changing and often unpredictable world. Further details about the cluster project, the Key Research Areas, the Principle Investigators and conditions of application can be found at www.theadaptivemind.de. For the doctoral researcher positions, we invite the application of highly qualified applicants with a Masters degree from life-, biomedical- and natural sciences including psychology, or computer science. The successful PostDoc applicants will have a doctorate in any of the following areas: experimental psychology, cognitive sciences, neuroscience, artificial intelligence, robotics, sensorimotor control, computational psychiatry, or other allied fields. Experience in motion tracking, virtual reality, machine learning or other computational approaches are beneficial. The successful applicants will join a thriving research community with strong regional, national and international connections as documented among others by numerous high-profile individual (e. g., 8 ERC grants) and group grants (e.g., the Collaborative Research Center (SFB/TRR 135) on Cardinal Mechanisms of Perception, the IRTG 1901 The Brain in Action, the Research Unit RU 2107 Neurobiology of Psychiatric Disorders, the Centre for Cognitive Science and the Hessian Center for Artificial Intelligence - hessian.AI, as well as other collaborative research endeavors). All participating institutions are committed to increasing the proportion of women in science, and female candidates are strongly encouraged to apply for the positions. All participating institutions are family-friendly institutions, applicants with children are warmly welcomed. Applicants with severe disabilities will be given preference over other candidates with equal suitability for the position. Application and interview costs cannot be refunded. For further information, please contact Dr. Filipp Schmidt (filipp.schmidt(a)psychol.uni-giessen.de) Please send your application (incl. CV, Research statement, 2 Reference letters, Scans of degree certificates) mentioning reference number 293/06 as a single PDF file to Dr. Filipp Schmidt, Research Coordinator Mechanisms of Perception and Adaption (filipp.schmidt(a)psychol.uni-giessen.de) before June 11, 2021. Application procedure: All applications are received centrally by the research coordinator of the priority research area "Perception and Adaptation", Dr. Filipp Schmidt at Justus-Liebig University Giessen. The application documents will be made available to the selection committee, consisting of the cluster PIs and of representatives of the partner universities, following the highest standards for data protection. Please specify in your application to which of the research fields specified below you are applying. Staff representatives of all partner universities will be invited to the job interviews. Employment is at the partner university the position is assigned to, following the salary scales applicable locally. Research areas: All research in our Cluster tries to combine Experimental Psychology and Movement Sciences, Artificial Intelligence and Computational Cognitive Science, as well as Clinical Psychology and Psychiatry. The focus for each position will be as follows:. At Justus-Liebig-Universität Giessen (JLU) Experimental Psychology and Movement Sciences (4 PostDoc and 4 Doctoral researcher positions 75%). At Philipps-Universität Marburg (UMR) Experimental Psychology (2 Doctoral researcher positions 75%), Computational Cognitive Science (1 PostDoc position), Clinical Psychology (1 PostDoc position), Psychiatry (2 PostDoc und 1 Doctoral researcher positions 75%). At Technische Universität Darmstadt (TUDa) Artificial Intelligence and Computational Cognitive Science (4 PostDoc and 2 Doctoral researcher positions 100%). At Goethe-Universität Frankfurt am Main (GU) Experimental Psychology (1 Doctoral researcher position 65%). At FIAS Computational Cognitive Science (1 Doctoral researcher position 65%). -- Prof. Constantin A. Rothkopf, PhD phone: +49 6151 16-23367 Director, Centre for Cognitive Science http://www.cogsci.tu-darmstadt.de/ Head, Psychology of Information Processing Group, http://www.pip.tu-darmstadt.de/ Institute of Psychology, Technical University of Darmstadt https://hessian.ai/ Adjunct Fellow, Frankfurt Institute for Advanced Studies. https://fias.uni-frankfurt.de/~rothkopf/

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5 year postdoctoral position in Insect Robotics Group, Edinburgh
by Barbara Webb May 20, 2021

May 20, 2021

A research associate position is available to investigate insect-inspired grasping mechanisms on the EPSRC funded project GRASP, under the direction of Professor Barbara Webb, in the School of Informatics, University of Edinburgh. The position is available from September 1, 2021, for 5 years. The primary role of the candidate will be to undertake biological experiments, behavioural analysis and modelling aimed at establishing how ants solve the 'grasp of unknown object in clutter' problem. This will include the development of new tracking and behavioural analysis methods, and the development and implementation of functional hypotheses as computational models of the antʼs behaviour. In collaboration with a second research associate, the key principles will be replicated on a mobile robot platform capable of both navigation and manipulation under natural conditions. Candidates are expected to have a PhD (or be near completion) in experimental or computational biology or neuroscience, including substantial experience in computational methods for behavioural analysis and modelling. A track record of good journal publications in this area should be demonstrated. The candidate is also expected to have good programming and system engineering skills, and ideally, practical skills in the design and utilisation of novel experimental methods. Candidates with direct experience and knowledge of insect research will be preferred. For informal enquiries please contact Professor Barbara Webb (B.Webb(a)ed.ac.uk) Full details and applications (deadline June 10) via: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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Excellence ASTROTECH PhD Project in Modeling the Neuron-Glial-Vascular Unit
by Maurizio De Pittà May 19, 2021

May 19, 2021

Dear colleagues, Please disseminate it. I am happy to announce that the Basque Center for Applied Mathematics (BCAM) in Bilbao (Spain) is opening one Excellence Ph.D. Fellowship as part of the H2020 ASTROTECH Consortium. The Fellowship is for a 3-year project to be carried out at the University of the Basque Country (UPV/EHU) under the supervision of Drs. Maurizio DE PITTA (BCAM) and Christophe BERNARD (Aix-Marseille University). The project aims to “Computational Glioscience approaches to volume signalling transmission in the Neuron-Glial-Vascular Unit (NGVU)” to develop a mathematical model of neuron-glial-vascular interactions based on biophysical principles of volume transmission in the brain parenchyma. The candidate will collaborate tightly with industry representatives and will implement the model in an open-source simulation platform adopted in the clinical practice. The candidate, in conjunction with biologists and medical doctors, will test the NGVU model built by this project by brain-wide simulations of epileptic seizures, with emphasis on new venues for their diagnosis and treatment. We are seeking excellent candidates with multi-disciplinary interests in Applied Mathematics, Computer Science, Physics, Engineering, Biology and Medicine. An essential requirement is capacity for mobility. The candidate’s reference residence will be in Spain at BCAM, with an enrolment in the University of Basque Country (UPV/EHU) to obtain a doctoral degree. She/He will spend extensive periods of time out of Spain, including mandatory training of 1 to 3 months, respectively at Aix-Marseille University (Marseille, France), at University of Bari Aldo Moro (Bari, Italy), at Italian Research Council in Rome (Italy), and at CODEMART (Romania). Furthemore, the candidate will be required to participate in mandatory training schools and technical workshops (2-3 per year) organized by the ASTROTECH Consortium at different locations in Europe, for the entire duration of the project. The ASTROTECH Consortium (http://www.astrotechproject.eu) is a European high-level training-by-research consortium federating world-leading European groups working to develop new technologies to explore astrocyte functions in the brain. Becoming Ph.D. candidate of the network offers unique training and interaction opportunities with other ASTROTECH members, in addition to the specific research conducted at the host labs. The fellowship comes with a competitive salary within the prestigious Marie Sklodowska-Curie Actions scheme, including funds to participate to training and conferences. Selection process. The top-ranked candidates will be interviewed orally, and the successful candidate will be chosen based on a competitive, equal-opportunities procedure. Interested candidates are encouraged to make a parallel inquiry, writing to me directly (Email object: “ASTROTECH PhD Position”), including a CV along with the name of two references and any other information that they may wish to share. Contact: Maurizio DE PITTA, mdepitta(a)bcamath.org Requirements for application. -- MSc degree, preferably in Physics, Mathematics, Engineering or Computer Sciences. -- High proficiency in spoken and written English. Skills. -- Proven record of excellence in the Master’s training. -- Excellent communication and interpersonal skills, with ability to effectively communicate ideas to an heterogeneous audience of biologists, medical doctors, and physicists. -- Ability to work in a fast-changing, international environment. -- Ability to meet deadlines. -- Openness towards inclusive science, racial and LGBTQ+ minorities. -- Excellent capacity for planning, independence, and creativity. -- Programming proficiency in at least one of the following languages: Python/C++/Julia. -- Familiarity with HPC and GPU/CUDA programming is a plus. -- The preferred candidate will have a strong interest in neurobiology and aims to pursue a career in multidisciplinary research in neurosciences, quantitative medicine or computational psychiatry. Application deadline is June 30, 2021, 2pm CET (UTC+1) Starting Date is November 2021. Open ASTROTECH Info day: May 26, 9.45am -- 1pm CET (UTC+1) https://global.gotomeeting.com/join/653571365 Application is submitted online through the BCAM portal: http://www.bcamath.org/en/research/job/phd-position-for-h2020-project-astro… For more information: https://sites.google.com/site/mauriziodepitta/jobs?authuser=0 ----- Maurizio De Pitta' https://sites.google.com/site/mauriziodepitta/home

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„Bridging grant” from the German Society for Cognitive Science (GK) for BA-, MA- and PhD students
by Constantin Rothkopf May 18, 2021

May 18, 2021

The German Society for Cognitive Science (GK) would like to support students who find themselves in a difficult (emergency) situation caused by the Corona pandemic with a bridging grant. The grant consists a funding for maximum of three months á 500 € per month. The GK is able to offer up to eight grants. The grant is meant as financial support allowing to finish the respective degree (Bachelor or Master) or providing some financial relief during an important PhD thesis phase (e.g. finishing a paper). The selection will be done by the members of the steering committee of the German Society for Cognitive Science (GK). The committee will consider all emergency cases as long as they have been caused by the Corona pandemic within the context of the studies and/or doctoral programme and are sufficiently substantiated with proof. Target group: This funding is intended for students who are enrolled and/or registered in a German university. In particular, only the following persons are eligible for funding: (1) Bachelor or Master students within a Cognitive Science Programme who, ideally, will be able to graduate soon, and (2) PhD students registered in one of the subjects belonging to Cognitive Science (e.g. Philosophy, Psychology, Informatics, AI, Linguistics, Neurosciences) who are working on a cognitive science project. Persons who already received a bridging grant from the GK are not eligible to apply. Paradigmatic case: A student pursuing a Master degree has fallen behind with her master thesis because due to the Corona-pandemic she could not arrange the childcare and had to take care of the child herself. The funding could be used to pay for a privately organised childcare. Application and Proof: To submit: - a statement comprehensibly describing applicant’s emergency situation (cases with evidence are preferred) and indicating the use of the funding. - BA and MA students: - - Enrolment confirmation and Transcript of Record - - A letter from the faculty’s/program’s advisor confirming the regular continuation of studies, anticipated graduation (within the winter term 2021/2022) - PhD students: - - A short statement from the first supervisor roughly sketching the cognitive science related project and describing the project’s progress The application shall be emailed with the subject „Application Bridging Grant“ to the following email: Chair of the GK, Prof. Dr. Barbara Kaup, barbara.kaup(a)uni-tuebingen.de; Application deadline: 15.06.2021

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Data analyst position at the European Neuroscience Institute
by googlemail May 17, 2021

May 17, 2021

The European Neuroscience Institute Göttingen (Germany) is seeking a Neuroscience data analyst (f/m) start date will be September 1st, 2021, the contract is initially limited to 3 years with extension options, full-time salary according to TV-L. The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst is expected to work closely with all of the research groups at the European Neuroscience Institute, supporting research efforts, e.g., through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments. S/he will have the opportunity to develop and publish, e.g., analytical tools that arise from this work. • The applicant should possess a university degree (minimally M. Sc. or equivalent) in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. • The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant shall demonstrate strong analytical skills and knowledge of novel and emerging analysis techniques is highly desired. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups’ scientific process is expected. • The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. • Contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data/open science and appreciate interest and expertise in this area. • Utilize programming languages such as Python, Matlab and/or C++. • Good command of English is mandatory. The University Medical Center Göttingen takes flexible account of the individual design of working hours at the workplace. It is interested in implementing the wishes of its employees as far as possible. If you are interested in this job and have specific questions about working hours, please contact us. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by June 15th, 2021 University Medical Center Göttingen European Neuroscience Institute Göttingen Dr. Jan Clemens Group Leader Grisebachstr. 5 37077 Göttingen Tel.: 0551/39-61351 E-Mail: j.clemens(a)eni-g.de Web: http://www.eni-g.de/ Please send your application only via e-mail as a single PDF-file. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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[jobs] 4 PhD@IIT in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologies
by Francesco Rea May 17, 2021

May 17, 2021

PhD course in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologies In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The 4 fully funded fellowships are offered this year by the Istituto Italiano di Tecnologia (IIT) and Università degli studi di Genova (course code 8638) as part of this curriculum by the Robotics Brain and Cognitive Sciences<https://www.iit.it/web/robotics-brain-and-cognitive-sciences> Unit (RBCS) guided by Giulio Sandini and by the Unit COgNiTive Architecture for Collaborative Technologies (CONTACT) guided by Alessandra Sciutti: * ENABLING ROBOTS TO UNDERSTAND AND ADAPT TO HUMANS * ASSESSING AND TRAINING VISUO-HAPTIC EXPLORATION * PROACTIVE MEMORY IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION * ADAPTATION IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION * TRUST AND SHARED PERCEPTION IN COGNITIVE ROBOTICS http://phd.dibris.unige.it/biorob/media/PhD%20themes%2037o%20-%20Cognitive%… All IIT units involved in this curriculum are located in the "Erzelli" site of the Italian Institute of Technology and share research facilities including, beside two iCub humanoid robots, eye-tracking and motion capture facilities. All research themes are available at the Admission - Research Themes 2021<http://phd.dibris.unige.it/biorob/index.php/how-to-apply> (http://phd.dibris.unige.it/biorob/index.php/how-to-apply) web page. Visit the program page<http://phd.dibris.unige.it/biorob/index.php> (http://phd.dibris.unige.it/biorob/index.php) for more information. To apply: full information is available at the general web page of the 37th cycle Ph.D.call - 2021/2022<https://unige.it/usg/it/dottorati-di-ricerca> of the Università degli studi di Genova. Applicants can download the complete notice of competition (the Call for applications)<https://unige.it/sites/contenuti.unige.it/files/documents/Bando_XXXVII_Engl…>, with general condition on Phd Courses and the application, the list of PhD programs<https://unige.it/sites/contenuti.unige.it/files/documents/ANNEX_A_XXXVII%20…>, containing the Course description. Please follow the steps listed: 1. Choose the programme, 2. Review the application, 3. Get in contact with the supervisors, 4. Apply, following the detailed instructions<https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVII.…> and using the online procedure<https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda> .

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2021 NEURON Online Course
by Ted Carnevale May 17, 2021

May 17, 2021

The 2021 NEURON Online Course will start on Thursday, June 3, 2021, and will meet Tuesdays and Thursdays thereafter until Tuesday, August 3. This course maps the first half of the NEURON Summer Course into a series of interactive online workshops about building and working with models of single neurons. It is suitable for individuals at all levels of expertise. Although it focuses on modeling individual cells, the topics it covers are the foundation for modeling networks with NEURON. Space is limited, and applications will be considered in the order received. The registration deadline is Monday, May 31, 2021. No applications will be accepted after that date. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/web2021/june.html --Ted

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You don't want to miss the "Modeling Electrophysiological Activities" Online Course
by Mary May 16, 2021

May 16, 2021

Dear researchers, We are less than two weeks away from the "Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue" Online Course, which will be held by Dr. Damien Depannemaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France (Click HERE for more information about his researches and background). This course is coming after an introductory webinar, which you can watch now using the link below: https://sciencebeam.com/modeling-electrophysiological-activities/ This course aims to discuss models in neuroscience and particularly models of electrophysiological activities. During the course, we will discuss the field of application of such models. We will introduce the concepts of dynamical systems. Then we will implement these models during lab sessions. Finally, we will discuss the results of simulations in relation to the data obtained experimentally. Prospective Overview of Sessions: ➢ Session 1 (May 25th): • Systems and complex system in neurosciences • Origines of electrophysiological signals and measurements • Electrophysiology and relevant features for computational modeling (Membrane potential, Raster plot, Local field potential) ➢ Session 2: • Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. • Introduction to dynamical systems for neurosciences (Differential equations, Phase space representation, Stability and domain of attraction) • Unidimensional and bi-dimensional models (Dynamics of integrate-and-fire models, Repertoire of 2 D models, Reduction of Hodgkin-Huxley model) ➢ Session 3: • 2D and Higher dimensions models (Particular role of the reset, Possibility of chaos) • Models of synapses • Limits of models (Biophysical and mechanistic description, Phenomenology) • Introduction to the first lab session (with Brian2 simulator) ➢ Session 4: • First Lab Session: - Repertoire of electrophysiological patterns - Models of networks - Global measure on simulations ➢ Session 5: • Second lab session: - analysis of the results - relations to the data • Conclusive discussion • Due to time zone differences, the recorded sessions will be provided for the participants. • A certificate is granted by ScienceBeam upon completion of the course. • In case of group registration (more than 3 people), you benefit from a 15% discount on your registration fees. Register NOW using the link below: https://sciencebeam.com/online-course-modeling-electrophysiological-activit… If you require more information, don’t hesitate to contact me. Sincerely Mary Reae Human Neuroscience Department Manager www.ScienceBeam.com WhatsAppno: 008613380781282

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