- Comp-neuro - lists.cnsorg.org

“TEX2022: Bringing together Predictive Processes and Statistical Learning” Abstract submission deadline extended

by Yamil Vidal

Dear all, The abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning” has been extended to the 19th of June!! We welcome the submission of abstracts presenting work in the fields of Predictive Processes and Statistical Learning. Work at the interception of these two fields will be particularly appreciated. The results of the evaluation procedure will be announced on the 27th of June. All presentations will be done in person. Presenters of accepted abstracts will be required to register to the event no later than 10th of July. As the event is limited to 100 attendees, we recommend to register early in order to secure a spot. Invited Speakers: - Maria Chait - Lori Holt - Floris de Lange - Clare Press - Lucia Melloni - Ram Frost - Nicola Molinaro - Caspar Schwiedrzik Scientific Committee: - Alejandro Blenkmann - Louisa Bogaerts - Fabienne Chetail - Abhishek Banerjee - Emma Holmes - Dezső Németh You can find more information at the event’s website: https://indico.sissa.it/e/TEX2022 If you are active on Twitter, please consider retweeting the event’s announcement: https://twitter.com/CrepaldiLab/status/1536292945275629568 We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

June 13, 2022

Open PhD position in mathematical/computational modeling of endocannabinoid-mediated synaptic plasticity

by Hugues Berry

Dear colleagues, A PhD position is open in my team at Inria Lyon, France on the modelling of endocannabinoid-mediated synaptic plasticity and its implication in fast learning. The research is a collaboration with the Venance Lab, Centre Interdisciplinaire de Recherche en Biology, Collège de France, Paris. We are looking for a highly motivated candidate with a background in mathematical modelling, dynamical systems, computational neuroscience or computational systems biology and a solid appetite for interactions with experimental neuroscience data. The starting date must be between September and November 2022. More information can be found here: http://www.inrialpes.fr/Berry/Images/PhD_Proposal_2022.pdf Contact me directly for applications. Best regards, Hugues BERRY ------------------------ Deputy scientific director of Inria for digital health and biology Inria Batiment CEI-2 56 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France Tel. (Office): +33 (0)4 72 43 75 01 Tel. (Mobile): + 33 (0)6 70 77 63 39 www.inrialpes.fr/Berry hugues.berry(a)inria.fr

June 10, 2022

FENS satellite symposium "Understanding Neural Circuit Evolution" (Jul 7-8, 2022, in Paris and online)

by von Behren, Christina

Dear all, We are happy to announce our FENS satellite symposium "Understanding Neural Circuit Evolution" which will be taking place July 7-8, 2022, in Paris and online. Registration for attending in person or remotely is open until June 23, 2022. The FENS satellite symposium "Understanding Neural Circuit Evolution" will present exciting lines of research into neural circuit evolution from paleobiology to computational neuroscience and to the molecular and genetic generation of neuro-behavioral diversity. Organized by the German Research Foundation Priority Program "Evolutionary Optimization of Neuronal Processing"<https://www.uni-goettingen.de/de/618311.html>, the symposium is designed to make the full spectrum of progress in neural circuit evolution accessible to a wide neuroscience audience. We aim to build bridges between computational, experimental, and paleobiological research approaches, and to foster integrative studies of neural circuit evolution. On July 7 the event starts with an online poster session. On July 8 there are exciting talks on the program, e.g. by Mitya Chklovskii (Flatiron Institute, New York, USA), Maude Baldwin (MPI Biological Intelligence, Seewiesen, Germany), and Lucia Prieto Godino (Francis Crick Institute, London, UK). The symposium is designed as a hybrid event. Registration will be open until June 23, 2022. For further information on program and registration see https://www.uni-goettingen.de/de/660201.html We are very much looking forward to meeting you in Paris (or on the internet). **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Goettingen Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-Düker-Weg 12 37073 Göttingen Tel.: +49-551-39-26675

June 10, 2022

Workshop on Trustworthy Artificial Intelligence (CFP)

by Frédéric Jurie

================================================================== Call for Papers: Workshop on Trustworthy Artificial Intelligence, as a part of the ECML/PKDD 22 program. ================================================================== Held in conjunction with ECMLPKDD (https://2022.ecmlpkdd.org/) Website: https://trustworthy-ai-22.sciencesconf.org/ Extended Abstract submission deadline: June 20, 2022 Author notification: July 13, 2022 Camera-ready submission: September 2, 2022 The site will start accepting submissions on May 1, 2022. Workshop date: September 19, 2022 (morning) Location: Grenoble (France), on site workshop with remote connections available About: This workshop will conduct a reflection on the methods and principles allowing the integration of artificial intelligence in critical products and services in a safe, reliable and secure way. Particular attention will be paid to methods for the engineering of innovative industrial products and services integrating AI, the large-scale deployment of industrial systems, as integrating AI is a crucial issue for industrial competitiveness. The scientific challenges include, as example, the construction of AI components with controlled confidence, the construction of data/knowledge to increase trustworthiness in learning or the interaction generating confidence between the user and the AI-based system. Authors are invited to submit their original work in this field and thus contribute to the reflections that will be conducted. The workshop will include oral and poster presentations and will leave a lot of room for exchange and discussion between participants. Topics: - AI based Critical Systems, - Auditability & Accountability, - Explainability and quantitative evaluation of Explainable AI methods, - Non-discrimination & Fairness, - Operational Domain Definition with AI, - Out of Distribution Detection, - Safety & Robustness, - Social Acceptance of Trustworthy AI Systems - System Monitoring, - Trustworthy AI - Trustworthy Human-Computer Interactions Program Committee: - Christine Balagué, Institut Mines Télécom, Palaiseau, France - Bertrand Braunschweig, IRT System X, Palaiseau, France (Workshop Chair) - Elisa Fromont, Univ. Rennes, IUF, Inria, CNRS, IRISA, Rennes, France - Fosca Gianotti, Information Science and Technology Institute “A. Faedo” of the National Research Council, Pisa, Italy - Frédéric Jurie, IRT System X, Palaiseau, France (Workshop Chair) - Foutse Khomh, Polytechnique Montréal, Canada - Clodéric Mars, AI Redefined, Montréal, Canada - Matthias Jakobs, TU Dortmund, Germany - Claire Pagetti, Onera, Toulouse, France - Wojciech Samek, Department of Artificial Intelligence and the Explainable AI Group at Fraunhofer Heinrich Hertz Institute (HHI), Berlin, Germany - Stefan Wrobel, Fraunhofer Institute for Intelligent Analysis andInformation Systems IAIS, Sankt Augustin, Germany

June 9, 2022

Free registration is now open for CNS*2022 satellite tutorials: June 27--July 1

by Ankur Sinha

Dear all, Apologies for the cross-posts. The INCF/OCNS Software Working Group is happy to announce that the schedule for the CNS*2022 satellite tutorials from June 27--July 1 has now been published here: https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… Free registration is also now open at: https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-reg… To prevent spam/zoom crashing, links to zoom meetings for the tutorial sessions will be limited to registrants only. Therefore, while registration is free, it is required. The satellite tutorials feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML Please spread the word, and we look forward to seeing you there! -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

June 8, 2022

Apply now for EITN Fall School in Computational Neuroscience 2022

by Zélie Tournoud

EITN School in Computational Neuroscience, 2022 session EITN School in Computational Neuroscience is an intensive computational neuroscience training aimed at neuroscience students and early-career researchers. It is supported by the Human Brain Project and is an oppotunity to learn from researchers from all over Europe. The 2022 edition will take place from *21 to 30 September 2022* in Paris, France. Attendance is selective as seats are limited. *Applications are open until 23 June 2022.* *Information : https://eitnschool2022.sciencesconf.org* Organizers: Sacha Van Albada (Forschungszentrum Jülich), Albert Gidon (Humboldt-Universität zu Berlin), Alain Destexhe (CNRS), Matteo di Volo (Cergy Université), Spase Petkoski (Aix-Marseille Université), Gorka Zamora-Lopez (Universitat Pompeu Fabra). Faculty: Nicolas Brunel Hermann Cuntz Gustavo Deco Alain Destexhe Matteo di Volo Albert Gidon Jennifer Goldman Moritz Helias Viktor Jirsa Maurizio Mattia Spase Petkoski Bartosz Telenczuk (to be confirmed) Sacha Van Albada Gorka Zamora-Lopez Damien Depannemaecker Domenico Guarino To be completed Who is this training for? * Neuroscience (and related fields) students and related * Post-doctoral/early-career researchers Why join? * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals o Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefor a selection will be performed by a scientific organizing committee. Applications are open until 23 June 2022. *Send your application by including a resume (CV) and cover letter (explaining motivations t**o join) by email at **eitn(a)neuro-psi.fr**.* You will receive a confirmation your application has be received within 5 working days or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)neuro-psi.fr for any question or assistance. Selection criteria include: * Working or studying in neuroscience or related * Experience in python programming would help * Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply Practical information: * If selected, registration fee to attend the training is 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location: Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris. This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely. __________ * * *Zélie Tournoud*/// EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org>

June 8, 2022

Workshop on Bio-inspired active AI at CNS*2022 - call for contributed talks

by Thomas Nowotny

Dear all, we will run a workshop on Bio-inspired active AI on Wed. 20 July 2022 at CNS*2022 in Melbourne. The details of the workshop topic are below and a preliminary list of invited talks is at http://users.sussex.ac.uk/~tn41/CNS2022_workshop/ We have time for some contributed talks and invite submissions of short titles/ abstracts. Please send your submission to me (t.nowotny(a)sussex.ac.uk) by Thursday, 30th June 2022. There is one workshop fee waiver available for an early career researcher if they are accepted for a contributed talk. Thanks & kind regards, Thomas --- CNS*2022 Workshop on Bio-inspired active AI<http://users.sussex.ac.uk/~tn41/CNS2022_workshop/> Recent advances in AI and notably in deep learning, have proven incredibly successful in creating solutions to specific complex problems (e.g. beating the best human players at Go, and driving cars through cities). But as we learn more about these approaches, their limitations are becoming more apparent in terms of high energy consumption, fragility, and lack of transferability between tasks. These limitations are particularly apparent when contrasted with naturally evolved intelligence. While no animals can play Go or drive cars, they are incredibly good at doing what they have evolved to do. For instance, ants learn how to forage effectively despite their tiny brains and minimal exploration of their world. We argue this difference comes about because natural intelligence is a property of closed-loop brain-body-environment interactions. Evolved innate behaviours in concert with specialised sensors and neural circuits extract and encode task-relevant information with maximal efficiency, aided by mechanisms of selective attention that focus learning on task-relevant features. In this workshop, we will explore how we can learn from mini-brains, and computational models to better understand intelligence and pave the pathway to building better AI. -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

June 7, 2022

Information theory workshop at CNS*2022 -- call for contributed talks

by Joseph Lizier

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2022itw> will be held once again at the 31st Annual Computational Neuroscience Meeting (CNS*2022<https://www.cnsorg.org/cns-2022-quick> conference), in Melbourne, Australia. The workshop will be held during sessions over the final two days of the main conference, July 19 and 20, 2022. Our confirmed speakers so far include the following: * Tomás̆ Bárta, Academy of Sciences of the Czech Republic * Demian Battaglia, Aix-Marseille University * Demi Gao, The University of Melbourne * Tatiana Kameneva, Swinburne University, Melbourne * Leonardo Novelli, Monash University, Melbourne * Naotsugu Tsuchiya, Monash University, Melbourne * Masanori Shimono, Kyoto University * ... more TBA! We would like to call for further contributions<https://bit.ly/cns2022itwcall> of talks. If you are interested in contributing a talk, please send a title and abstract to Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2022 (early bird deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2022itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier (chair) Abdullah Makkeh Justin Dauwels Michael Wibral

June 7, 2022

Abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning”

by Yamil Vidal

Dear all, The abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning” is this Friday (10th of June)!! We welcome the submission of abstracts presenting work in the fields of Predictive Processes and Statistical Learning. Work at the interception of these two fields will be particularly appreciated. We are glad to introduce the members of our Scientific Committee, who will evaluate the submitted abstracts: - Alejandro Blenkmann (Front Neurolab - RITMO, Department of Psychology, University of Oslo) - Louisa Bogaerts (Department of Experimental Psychology, Ghent University) - Fabienne Chetail (Lab Cognition Langage et Développement (LCLD), CRCN, Université Libre de Bruxelles) - Abhishek Banerjee (Adaptive Decisions Lab, Biosciences Institute, Newcastle University - https://www.adaptive-decisions.com/) - Emma Holmes (Department of Speech Hearing and Phonetic Sciences, UCL. Wellcome Centre for Human Neuroimaging, UCL) - Dezső Németh (Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 - https://www.memoteam.org/) The results of the evaluation procedure will be announced on the 27th of June. All presentations will be done in person. Presenters of accepted abstracts will be required to register to the event no later than 10th of July. As the event is limited to 100 attendees, we recommend registering early in order to secure a spot. You can find more information at the event’s website: https://indico.sissa.it/e/TEX2022 If you are active on Twitter, please consider retweeting the event’s announcement: https://twitter.com/CrepaldiLab/status/1512412553942601740 We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

June 6, 2022

Reminder: Call for abstracts Bernstein Conference

by Bernstein Communication

**Apologies for cross-posting** Dear colleagues, this is a gentle reminder to submit your abstract to be considered as contributed talk for the Bernstein Conference before June 15 here: https://bit.ly/BC_submission 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. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Bernstein Conference: September 13 - 16, 2022 * Deadline for submission of abstracts to be considered for Contributed Talks: June 15, 2022 * Deadline for abstract submission: July 18, 2022 ____ 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). Further information can be found here: https://bit.ly/BC_submission ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universität Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.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. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de

June 6, 2022

ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School

by Wong-Lin, Kongfatt

The Organising Committee from Ulster University's Intelligent Systems Research Centre (ISRC) at Magee Campus in Derry~Londonderry is very pleased to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again this year. Supported by the International Brain Research Organisation (IBRO) and other sponsors, this year's Autumn School will run from 24th October to 28th October, inclusively. The topics covered in the ISRC-CN3 Autumn School include: * mathematical foundations in neuroscience * computational modelling of neural-glial systems, neuromodulators and cognition * neural data science * neurotechnology * neuromorphic computing and self-repaired intelligent machines * spiking neural networks and applications * cognitive robotics * ethics in neurotechnology and AI * entrepreneurship in neurotechnology and AI This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. Registration is made highly affordable, and bursaries may be available. Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this 5-day School, which will consist of lectures and labs. Attendees will have the opportunity to present and share their research work on the final day, and awards will be given to the top presenters. For more information, please visit the websites at: * https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… * https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Application for the Autumn School is now opened and will close on 1st September. For further information, queries, or sponsorship, please contact Dr. KongFatt Wong-Lin (k.wong-lin(a)ulster.ac.uk<mailto:k.wong-lin@ulster.ac.uk>). This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

June 6, 2022

WWNeuRise online seminars June-July 2022

by William Podlaski

WorldWideNeuRise will host several online talks throughout June-July 2022 on various topics in systems neuroscience from the following early career researchers (titles TBA): Wednesday, 8 June, 5pm CET Vladyslava Pechuk (Oren Lab, Weizmann Institute) Cathy Chen (Grissom Lab, University of Minnesota) Wednesday, 29 June, 5pm CET Meritxell Sáez (Briscoe Lab, Francis Crick Institute; IQS Barcelona) Esther Klingler (Jabaudon Lab, University of Geneva) Wednesday, 6 July, 5pm CET Ipshita Zutshi (Buzsaki Lab, New York University) Xenia Grande (Duzel Lab, University of Magdeburg) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Ellen Boven (Apps Lab, University of Bristol) Christina Buetfering (Häusser Lab, University College London) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

June 5, 2022

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers

by Dimitri Ognibene

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers ######### Apologize for cross posting ######### Dear colleagues, University Milano-Bicocca is offering 1 postdoctoral position on machine learning and AI applied to understand and contrast social media threats for teenagers. The successful participant will be involved in the multidisciplinary project COURAGE funded by Volkswagen Foundation. The position is research starting in September 2022 Please contact us for expression of interest and preliminary information: dimitri.ognibene(a)unimib.it (PI) 1 Researcher Position Application Opens: Middle June (tbd) Application Closes: late June (tbd) Interview: 5th July h14 (CET) Starts: September 2022 Duration: 1.5 years (18 months) Salary: €2600 pm Work permit: valid permit to work in Italy from September 2022 is a strong asset Topics: Social media, NLP, machine learning, cognitive models, opinion dynamics, computer vision, reinforcement learning, graph neural network, recommender systems, network analysis Project: COURAGE https://www.upf.edu/web/courage Informal description of the job: Do social media harm teenagers and our society? Can we make them safer? Let's understand how to reshape social media algorithms together with this competitive research positions in #machinelearnig, #artificialintelliegence and #socialmedia modelling based in Università degli Studi di Milano-Bicocca on the project COURAGE #couragecompanion #AIforSocialGood We will use the state of the art in graph neural networks, reinforcement learning, nlp, cv, and machine learning in general to improve our understanding of social media dynamics, and help our society by supporting and teaching young people tackle hate speech and fake news in social media. Many opportunities for interdisciplinary and international research -- Dimitri Ognibene, PhD Associate Professor at Università Milano-Bicocca Honorary Lecturer of Computer science and Artificial Intelligence at University of Essex http://sites.google.com/site/dimitriognibenehomepage/ *Skype:* dimitri.ognibene

June 4, 2022

Postdoc position in computational systems neuroscience, Voigts Lab, Janelia

by Jakob Voigts

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs. We'll work on how neocortex builds and uses models of the world to give animals complex cognitive abilities. The lab will specifically attempt to go beyond repeated stimulus-response associations, instead using complex, naturalistic spatial behaviors in rodents to study flexible cognition. We'll be able to throw significant technology at the problem of combining sufficient measurements with complex naturalistic behavior, but more importantly we'll have to overcome the challenge of modeling, analyzing, and ultimately learning from data when there are few or no trials to average over. We will use experimental approaches, such as designing new tasks where mice make decisions based on incomplete knowledge of their environment, as well as developing new computational techniques to study circuit mechanisms in the context of unconstrained behaviours. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia, where there are unique resources for this type of work. We'll work closely with experimental, theoretical, methods, and machine learning researchers in and outside of Janelia to make this research program possible, collaborative, and fun. To apply, please send a cover letter, brief statement of research interests, and CV to voigtsj(a)janelia.hhmi.org Lab website: https://www.voigtslab.org

June 1, 2022

The KiloNeurons ERC project: post-doctoral position in theoretical neuroscience

by Yoram Burak

The Burak Lab at the Hebrew University is seeking to hire a postdoctoral research fellow in theoretical neuroscience. The postdoctoral fellow will take part in the ERC funded KiloNeurons project, led by Edvard Moser (Kavli Institute for Theoretical Neuroscience, NTNU) and Yoram Burak (Edmond and Lily Safra Center for Brain Sciences and the Racah Institute of Physics). The project aims to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. The KiloNeurons project offers opportunities to work on diverse theoretical and computational questions. These involve approaches ranging from pure theoretical modelling to analysis and interpretation of large-scale neural data. Theoretical tools include methods from nonlinear dynamics, machine learning, statistical physics, and information theory. A generous budget is available for travel between Israel and Norway to facilitate close interaction with members of the Moser lab, for travel and participation in scientific meetings, and for purchase of computing equipment. We are looking for candidates with excellent demonstrated abilities in theoretical research, strong intellectual curiosity and drive, a keen interest in computational neuroscience, and an interest in relating theory to experimental data. Candidates must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as prior familiarity with research in computational neuroscience are advantageous. To apply: please send the following information to kiloneurons-positions(a)elsc.huji.ac.il in a single PDF file: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references Deadline: For full consideration, applications should be received by June 30, 2022. ___ Yoram Burak Associate Professor Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Goodman Brain Sciences Bldg 2102, Safra Campus, Jerusalem 91904, Israel p: +972-2-6584523 web: https://www.buraklab.me/

June 1, 2022

CNS*2022 satellite tutorials: free online sessions: June 27--July 1

by Ankur Sinha

Dear all, Apologies for the cross posts. https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… The INCF/OCNS Software working group is organising 5 days of free online satellite tutorials ahead of the CNS*2022 conference. These tutorials will run from June 27--July 1 and feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML More information on the schedule and (free) registration will be published in the next week or so. Please do mark your calendars and spread to word to your colleagues, students, and anyone else who these may interest. For more information on the INCF/OCNS Software working group and how you can join our community, please visit our website: https://ocns.github.io/SoftwareWG/ -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

May 31, 2022

Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University

by COMP HKBU

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

May 31, 2022

The Canadian Computational Neuroscience Spotlight is one week away!

by Scott Rich

Dear all, The third edition of the Canadian Computational Neuroscience Spotlight (CCNS) is just one week away. Our speaker list is now finalized, and can be found at ccnsmeeting.ca. The meeting will include keynote addresses from Drs. Viktor Jirsa, Gaute Einevoll, and Cendri Hutcherson, as well as a session on Neuro-AI with talks from Drs. Richard Naud, Milad Lankarany, Blake Richards, and Wilten Nicola. Register for the meeting at https://www.crowdcast.io/e/ccnsv3/register. We will be accepting late submissions for Trainee Talks until Wednesday at noon EDT. Please submit your abstracts at https://forms.gle/Vr1BsUZxjbSn1aFG7 for consideration. Sincerely, Scott Rich (on behalf of the organizing committee)

May 30, 2022

A YouTube playlist of 15 short videos for "A quick introduction to what is known about biological vision experimentally"

by Li Zhaoping

Dear colleagues, I have made this playlist "A quick introduction to what is known about biological vision experimentally" of 15 short video clips, each about 10 minutes long, see http://lizhaoping.org/zhaoping/QuickIntro_BiologicalVision_Playlist.html <https://t.co/Tfpa7epGAE> this is part of my effort for teaching materials for "Understanding vision: theory, models, and data" <http://www.lizhaoping.org/zhaoping/VideoLectures_ForBook.html>. Feedback most welcome, thank you! best Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

May 27, 2022

PostDoc position at UCL: MEG and big data smartphone analysis

by Hauser, Tobias

PostDoc position at Max Planck UCL Centre for Computational Psychiatry with Dr Tobias Hauser We are looking for a PostDoc to work on exciting projects analysing already collected MEG and smartphone app data. We are looking for someone with experience in data analysis with behavioural and/or electrophysiological (MEG) data. The postdoc will be working on a MEG dataset of a novel task including a big patient sample. In addition, they will have the opportunity to analyse a large dataset of behavioural and questionnaire data from a smartphone app (www.brainexplorer.net<http://www.brainexplorer.net>). We are looking for someone with computational modelling, machine learning, or advanced neuroimaging data analysis expertise. The person will be based at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging, located in Central London. If you have further questions, please contact Tobias Hauser (t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk>). To read more about the research group, please see https://devcompsy.org/ Job advert here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTg4NDY5NiZ2dF90ZW1w… Best Tobias -- Play smartphone games and help us understand the brain: www.brainexplorer.net<http://www.brainexplorer.net> Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk> www.tobiasuhauser.com<http://www.tobiasuhauser.com/> www.devcompsy.org<http://www.devcompsy.org/>

May 26, 2022

PhD position offer: Neuro-inspired macroscale model of tCS-induced changes on epileptic networks

by Elif Köksal

*Title*: Neuro-inspired macroscale model of tCS-induced changes on epileptic networks *Context*. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields. *Rationale. *Electrical stimulation (supra-threshold) and neuromodulation (sub-threshold) are two different methods that can be used to alter brain plasticity in order to lower hyperexcitability and subsequently decrease the occurrence of epileptiform events. These events are generated large-scale brain networks involving interconnected distant brain regions characterized by an increase of excitability. In this context, computational models are an efficient way to understand features of epileptiform events recorded in patients, either intracerebrally or from electrodes located on the scalp. In addition, it is an efficient tool to analyze the impact of tCS on the brain and optimize its therapeutic effect. *Objective. *This research focuses on neuromodulation induced by transcranial current stimulation (tCS). The objective of the proposed PhD position is to design a neuro-inspired macroscale model of the brain that will simulate electroencephalographic (EEG) signals under 2 conditions: spontaneous activity and tCS. The model will be able to simulate the activity of epileptogenic networks generating epileptic spikes during interictal periods. It will account for immediate (acute) and lasting (short- or long-term) effects of neuromodulatory weak electric fields, which remain elusive. Simulations will help the design of tCS-based neuromodulation strategies aimed at lowering interictal epileptic spikes. *Methods. *The model will start from previous results of the team (Merlet et al. PlosOne 2013, Bensaid et al. Frontiers in Neuroscience 2019). It will consist of a macroscale network of interconnected (edges) neural populations (nodes) located in the neocortex. Neurophysiological activity of each node will be generated by a neural mass model. The whole model will allow for simulation of normal and epileptic EEG activity (interictal spikes, ictal activity) under 2 conditions: spontaneous and tCS. Simulated signals will be compared to EEG signals recorded in patients under similar conditions. The model will be embedded into an existing software named COALIA developed in Python. tCS induced E-fields will be simulated using SimNibs (to start with) and with tools developed at Neuroelectrics. Optimal parameters reducing epileptic activity will be determined. *Scientific environment. *GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. *Candidate profile.* The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The candidate will preferably have some background in dynamical systems, computational neuroscience/systems biology or in electrical engineering, with experience in bio-signal processing and biophysics. Knowledge in electrophysiology and/or EEG analysis would be an asset. The PhD fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. - *Contract*. The position will start on 01/10/2022. The contract is for 3 years with possible extension (3 months). The salary will be defined according to Inserm rules regarding doctoral student remuneration. Deadline for application. 15/07/2022 Contact. Applicants must send a CV and a cover letter to: Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr Isabelle Merlet (CR Inserm, LTSI, France) Email: isabelle.merlet(a)inserm.fr Elif Koksal (Post-doc fellow, LTSI, France) Email: elif.koksal-ersoz(a)inserm.fr Pascal Benquet (Prof. Univ-Rennes1) Email: Pascal.Benquet(a)univ-rennes1.fr

May 26, 2022

Postdoc positions in NeuroAI

by Rui Ponte Costa

We are looking for two postdocs to work on deep learning-inspired computational neuroscience at the University of Bristol, United Kingdom. There are a number of exciting topics that you could contribute to: 1. Neuromodulated cortex-wide credit assignment 2. Subcortical facilitation of cortical learning 3. Theories of self-supervised learning in cortical circuits There are also opportunities to collaborate closely with leading cellular, systems and cellular neuroscientists, but also deep learning researchers. Successful candidates should have: - a strong quantitative background - keen interest in neuroscience - obtained (or be close to) a PhD in computational neuroscience, machine learning, physics, mathematics, computer science or similar. - ability to work in a strongly collaborative and interdisciplinary field Please express your interest by sending your cv and a brief statement of research interests to rui.costa(a)bristol.ac.uk<mailto:rui.costa@bristol.ac.uk> More info about our group at: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Lecturer (Assistant Professor) in Computational Neuroscience & Machine Learning Neural and Machine Learning group<https://neuralml.github.io/> Bristol Computational Neuroscience Unit<http://bristolcnu.github.io/>, Intelligent Systems Labs<https://www.bristol.ac.uk/engineering/research/intelligent-systems/> Faculty of Engineering & Bristol Neuroscience, University of Bristol<https://bristol.ac.uk/>, UK

May 26, 2022

Postdoctoral opportunity UTSA-AFRL

by Fidel Santamaria

We are looking for a postdoctoral fellow to computationally and theoretically study the effects of thermal gradients in synaptic plasticity. This is an area of research with potential translational and engineering applications. This is also a unique opportunity for those that want to explore working along the lines of interest of the Air Force Research Laboratories (AFRL). Furthermore, the funds and benefits dedicated for the training of the selected candidate are way better than what you can get in a traditional postdoctoral position. This research is part of a collaboration between the University of Texas at San Antonio, an R1 institution, and the AFRL. To apply please follow the link or look it up https://www.zintellect.com/Opportunity/Details/AFRL-711HPW-2022-0005 more information here https://orise.orau.gov/internships-fellowships/postdocs.html Please note that this position is only open to US citizens. You can also contact Dr Santamaria for more information: fidel.santamaria(a)utsa.edu<mailto:fidel.santamaria@utsa.edu> _______________________________________________________________________________ Fidel Santamaria, PhD Professor Department of Neuroscience, Development, and Regenerative Biology University of Texas at San Antonio www.utsa.edu/SantamariaLab<http://www.utsa.edu/SantamariaLab> Office: BSB 1.03.30 Tel +1(210) 458 6910

May 24, 2022

International Symposium on AI and Brain Science 2022: Call for poster abstracts and registration

by Kenji Doya

We are pleased to announce the International Symposium on AI and Brain Science 2022 on July 4th and 5th at Okinawa Institute of Science and Technology http://www.brain-ai.jp/symposium2022/ as a satellite event for Neuro2022 at Okinawa Convention Center from June 30th to July 3rd. https://neuro2022.jnss.org/en/ The symposium is on-site/online hybrid and we are calling for on-site poster presentations by June 1st. Please note that all foreign nationals currently need a visa to enter Japan and if you need a visa application support, please submit your abstract by May 25th, i.e. immediately. Attendance is free, but registration is required by June 15th from the web site: http://www.brain-ai.jp/symposium2022/registration/ Tentative Program: time in JST=GMT+9 <Monday July 4th> 9:00 Registration 9:40 Opening: Kenji Doya 10:00-12:00 Session 1: AI for Brain Science Maneesh Sahani, Angela Langdon, Xiao-Jing Wang, Terrence Sejnowski 12:00-14:00 Lunch and Poster Session 14:00-16:00 Session 2: Biological and robotic motor control Tetsuya Ogata, Tom Macpherson, Jun Izawa, Rieko Osu 16:30-18:30 Session 3: Brain-inspired AI Masashi Sugiyama, Matthew Botvinick, Yutaka Matsuo <Tuesday July 5th> 10:00-12:00 Session 4: AI, Brain, and Society Patricia Churchland, Yoshua Bengio, Ryota Kanai, Ai Koizumi 12:00-13:00 Lunch and Poster Session 13:00-15:00 Session 5: Natural and artificial consciousness Hideaki Shimazaki, Keisuke Suzuki, Makiko Yamada, Tadahiro Taniguchi 15:30-17:30 Session 6: Bayesian Brain and Computational Psychiatry Jun Tani, Karl Friston, Yuichi Yamashita, Misako Komatsu 17:30-18:00 General Discussion - Closing Hope to see many of you in Okinawa, or online. Co-organizers: Kenji Doya (Okinawa Institute of Science and Technology) Karl Friston (University College London) Hiroaki Gomi (NTT Communication Science Laboratories) Takao Hensch (The University of Tokyo International Research Center for Neurointelligence) Maneesh Sahani (Gatsby Computational Neuroscience Unit) Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project) Tadahiro Taniguchi (Ritsumeikan University) Naotsugu Tsuchiya (Monash University) ---- Kenji Doya <doya(a)oist.jp<mailto:doya@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

May 24, 2022

CFP: Frontiers research topic on Neural Dynamics and Behavior in Freely Moving Animals (DL:2022.10.30)

by Panagiotis Symvoulidis

Dear Colleagues, We are organizing the Frontiers Research Topic below, aiming to create a collection of articles across the whole field of neuroscience studies of freely moving animals. Please *consider submitting* your related work and *sharing the call* with potentially interested colleagues. Apologies for the cross-post. *The Brain in Action: Neural Dynamics and Behavior in Freely Moving Animals* *Link*: https://www.frontiersin.org/research-topics/20697/the-brain-in-action-neura… *Details: *Understanding the neural basis of complex behaviors is a primary aim of neuroscience. However, until recently, the field lacked an appropriate set of techniques for simultaneously measuring neural activity and behavior in freely moving animals, forcing investigators to use immobilized animals performing simplistic behavioral tasks. Synergistic technological breakthroughs in fluorescent brain imaging and behavioral tracking approaches have paved the way to a new type of neuroscience that enables tracking behavior in setups compatible with brain imaging and manipulation, even at the single-cell level, using optical electrophysiology techniques. A diversity of such neurobehavioral imaging systems have been recently invented, spanning the range of conventional model organisms including C. Elegans, Flies, Zebrafish, and Rodents. Each species and approach showcases unique technical challenges, achievements, and opportunities. Our aim with this Research Topic is to provide an overview of this new field. We will present not only the technological advances but also discuss the novel type of experiments and insights that they promise. To achieve that, we welcome articles that span the following categories: i) Algorithms and imaging systems for tracking and quantifying complex behaviors of freely moving animals; ii) Molecular tools and microscopes, enabling capturing or manipulating neuronal dynamics. Such systems could include tracking or large field of view microscopes in small animals, head-mounted mini scopes and fiber-based systems for mammalian models, -or non-optical methods; iii) Neuroscience studies, using such tools to generate neurobehavioral datasets (ideally shareable with the community) and new biological findings; iv) Perspective articles on the future possibilities of such systems are also welcome -including ones that discuss alternatives approaches; v) Analysis pipelines and computational neuroscience frameworks exploiting the produced datasets, along with ways to integrate them with existing ( or future) knowledge and techniques. *Keywords*: Brain Imaging, Behavioral Tracking, Quantitative Behavior, Neuronal Dynamics, Freely Moving *Participating Journals:*Frontiers in Neuroscience Frontiers in Neuroimaging *Guest Editors Team:* Prof. Gershow, Prof. Venkatachalam, Dr. Marshall, and Dr. Symvoulidis *Deadline:*30 October 20202 Best, Panos

May 23, 2022