- Comp-neuro - lists.cnsorg.org

Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project
by Jaroslav Hlinka 15 Apr '24

15 Apr '24

*Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project* Several postdoctoral positions are available in the *Complex Networks and Brain Dynamics group (COBRA) at the Institute of Computer Science, Prague (Czech Republic)*. These positions are part of a larger, interdisciplinary consortium that was recently recommended for funding (OPJAK BRADY). The project topics include: *Topic 1*: Detailed biophysical modelling of neurotransmitter action (supervised by Pavel Sanda). *Topic 2*: Computationally efficient mean-field models of cortical microcircuits (supervised by Helmut Schmidt). *Topic 3*: Whole-brain dynamics with applications particularly to schizophrenia and Parkinson's disease (supervised by Gustavo Deco). *Topic 4*: Data-driven model inversion and personalized parameter identification (supervised by Nikola Jajcay). *Topic 5*: Modelling interventions into arousal dynamics (supervised by Jaroslav Hlinka). Other related topics may be considered based on their fit to the overall project. Further information can be found here: https://cobra.cs.cas.cz/brady. 1. Conditions * Positions are available immediately. * Contract is for 12-36 months duration. * Possibility of extension until end of project (30.6.2028), support for transition to tenure-track or external funding applications. * Applications will be reviewed on a rolling basis, until the positions are filled. * This is a full-time fixed term contract appointment. Part time contract negotiable. * Competitive monthly gross salary: 50 000 - 66 000 CZK based on qualifications and experience (net salary approx. 40 000 - 52 000 CZK). _Cost Of Living Comparison <http://www.numbeo.com/cost-of-living/comparison.jsp>_ * Bonuses and travel funding for conferences and research stays depending on performance. * No teaching duties. * Applicants should: 1. Hold a PhD; up to 7 years from PhD defense at the start of employment. 2. Have a strong background in the fields related to computational neuroscience - mathematical, statistical skills, experience with data analysis, machine learning, computer programming (the exact combination depends on the particular topic, see above). 3. Be fluent in English. * *We seek curious, self-motivated, hard-working, team-spirited researchers.* * *Prior experience with time series and network analysis is advantageous, but not required. * * The applications are to be sent to bradyadmin(a)cs.cas.cz <mailto:bradyadmin@cs.cas.cz>and should contain: 1. Curriculum Vitae. 2. Two letters of recommendation. The referees should send their recommendations directly to bradyadmin(a)cs.cas.cz. 3. A proof of the obtained degree. 4. Mention the *Ref. No. 2024/4*. *Do not hesitate to contact the project Scientific Coordinator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/. * -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka(a)cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz

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ERRATUM: EITN Fall School in Computational Neuroscience 2024: Applications are now open!
by DEPANNEMAECKER Damien 15 Apr '24

15 Apr '24

Erratum: Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact <mailto:eitnfs2024@groups.emdesk.com> eitnfs2024(a)protonmail.ch for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France) Egidio D’Angelo (University of Pavia, Italie) Michele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson (AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker (AMU, Marseille France) Huifang Wang (AMU, Marseille France) .... ________________________________

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Share Your Expertise: Submit Your Work at COMPLEX NETWORKS 2024 in Istanbul
by Hocine Cherifi 15 Apr '24

15 Apr '24

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI <https://www.mdpi.com/> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems Journal <https://www.complex-systems.com/> *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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LOD 2024 1st Call for papers: 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: April 23
by Giuseppe Nicosia 15 Apr '24

15 Apr '24

Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy LOD 2024, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders https://lod2024.icas.events/ lod(a)icas.cc SATELLITE EVENTS: 2nd International Meeting on Foundation Models - IMFM2024 https://lod2024.icas.events/imfm2024/ 1st Workshop AI in Life Sciences - WAILS2024 https://lod2024.icas.events/wails2024/ 24 TRACKS: https://lod2024.icas.events/tracks/ PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2024 *Paper Submission deadline: April 23 (Anywhere on Earth)* CALL FOR PAPERS: https://lod2024.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2024, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; LOD 2024 KEYNOTE SPEAKERS: Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA "How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone" Johannes Schmidt-Hieber, University of Twente, The Netherlands "Towards a statistical foundation for machine learning methods" Michal Valko, Google DeepMind Paris, INRIA & École Normale Supérieure Paris-Saclay, France "Fine Tuning Large Language Models & Gemini" https://lod2024.icas.events/keynote/ PAST LOD KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ BEST PAPER AWARD: Springer sponsors the LOD 2024 Best Paper Award with a cash prize of 1,000 Euro. https://lod2024.icas.events/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2024.icas.events/program-committee/ VENUE: https://lod2024.icas.events/venue/ The venue of LOD 2024 will be Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany - Italy. LOD 2024 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043‚ Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://lod2024.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=lod2024 See you in the beautiful Tuscany in September! Best regards, LOD 2024 Organizing Committee. Past Editions: https://lod2024.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ https://lod2024.icas.events/ lod(a)icas.cc LOD2024 Poster: https://lod2024.icas.events/wp-content/uploads/sites/27/2023/11/LOD-2024-po… * Apologies for multiple copies. Please forward to anybody who might be interested * --

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World wide VVTNS series: Wednesday, April 17 at 11am (EDT), Tim O'Leary University of Cambridge|Flip flops and toggles for effective decision making in neural circuits
by David Hansel 14 Apr '24

14 Apr '24

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Tim O'Leary University of Cambridge on the topic of "Flip flops and toggles for effective decision making in neural circuits*"* The lecture will be held on zoom on *April 17, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Neural computation is inextricably bound to decisions that must be made under time pressure and uncertainty. At the level of neural circuits, single neurons need to decide whether to spike. On longer timescales, the component circuitry needs to decide whether to reconfigure to store memories and adapt to novel situations. In this talk I will focus on two fun ideas in each of these contexts by showing how nonlinearities in neural components naturally form excitable switches that enable reliable decisions to be made in fluctuating environments. I will also issue propaganda that the kind of high level, cognitive faculties that we normally associate with decision making apply equally well and are understudied at the level of neural and synaptic populations. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Pères 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - ᐧ

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PhD Opportunity in AI and Neuroscience, Bordeaux, Deadline: April 23rd
by Xavier Hinaut 11 Apr '24

11 Apr '24

We are offering a PhD topic that bridges large language models with neuroscience. **Deadline for application: no later than April 23rd** Location: Bordeaux NeuroCampus (France) Laboratories: Inria & Neurological Diseases Insitute This project aims to explore the adaptation of large language models (LLMs), such as ChatGPT, to study their potential in understanding human language and identifying associated pathologies. By focusing on advanced neurocomputational models and the use of functional MRI, this work aims to decipher linguistic representations and their individual variations, particularly in pathological contexts such as dyslexia. We are seeking a candidate with an interdisciplinary research mindset, combining a strong interest in cognitive neuroscience with a solid proficiency in machine learning. The candidate should have a good command of Python scientific libraries (numpy/scipy) and be comfortable with mathematical/statistical concepts, in addition to proficiency in technical English. The project will take place in a dynamic and collaborative research environment linked to the Inria Exploratory Action project "BrainGPT", with access to imaging methods such as MRI and intensive computing clusters. The expected results have the potential to transform our understanding of the neural bases of language and open new avenues for personalized education and language pathology treatment. Applications must be submitted as soon as possible and no later than *April 23rd*, with the thesis expected to begin on October 1st, 2024. To apply, please send your CV, a cover letter, your academic transcripts since high school, and letters of recommendation to these two email addresses: gael.jobard(a)u-bordeaux.fr & xavier.hinaut(a)inria.fr For more information (please disregard the deadline mentioned in the link): https://adum.fr/as/ed/voirproposition.pl?matricule_prop=55386 or informally via email: gael.jobard(a)u-bordeaux.fr & xavier.hinaut(a)inria.fr Best regards, Xavier Hinaut Inria Research Scientist — www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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Sleep spindles in hippocampal axons
by Gregory J Brewer 10 Apr '24

10 Apr '24

We are pleased to announce our latest publication out today in Scientific Reports, Spindle oscillations in communicating axons within a reconstituted hippocampal formation are strongest in CA3 without thalamus. (open access) https://link.springer.com/article/10.1038/s41598-024-58002-0?utm_source=rct… Grace to you, Greg Gregory J. Brewer, Ph.D., Professor University of California Irvine, Dept Biomedical Engineering 92697-2715 Institute for Memory Impairment and Neurological Disorders (MIND) Center for Neurobiology of Learning and Memory (CNLM) AGE Fellow of the American Aging Association Nat. Sci, 2, Office Rm 3101, Lab 3432 GJBrewer(a)uci.edu<mailto:GJBrewer@uci.edu>, 217-502-4511 http://brewer.eng.uci.edu/

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New on the van Vreeswijk Theoretical Neuroscience Seminar (VVNTS) website and YouTube channel
by David Hansel 10 Apr '24

10 Apr '24

[image: VVTNS.png] > > <https://streaklinks.com/B7FpUrTOTmFafqa5pAf069mO/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide > New on the VVTNS website and YouTube channel Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity talk given on April 10, 2024 by Michael Buice Allen Institute https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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New virtual colloquium series: Brains in Space
by Vinita Samarasinghe 10 Apr '24

10 Apr '24

On behalf of Sen Cheng, Sandhiya Vijayabaskaran and Laurenz Wiskott from the Institute of Neural Computation, Faculty for Computer Science, Ruhr University Bochum, I invite you to attend a new colloquium series "*Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation*". In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation. The colloquium takes place virtually on Tuesday's from 16:00 to 17:30 (CEST) and the complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter… . The first talk is on April 16th 2024. *Confirmed speakers:* Elizabeth Chrastil, Marko Nardini, Laure Rondi-Reig, Denis Sheynikhovich, Aaron Wilber, Sandhiya Vijayabaskaran, Francesca Sargolini and Eloy Parra Barrero. This colloquium is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. *Zoom link*: https://ruhr-uni-bochum.zoom.us/j/68766911124?pwd=MFErK284UmN5V25wZzd5L1FCa… We look forward to seeing you. Kind regards, -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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EITN Fall School in Computational Neuroscience 2024: Applications are now open!
by DEPANNEMAECKER Damien 10 Apr '24

10 Apr '24

EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)groups.emdesk.com<mailto:eitnfs2024@groups.emdesk.com> You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024(a)groups.emdesk.com<mailto:eitnfs2024@groups.emdesk.com> for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre Jülich and University of Cologne, Allemagne) Egidio D’Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ...

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