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Call for participation & posters - workshop “Cortex Structure and Function in Monkey, Mouse and Man” (Sep 21-24, 2026)

by von Behren, Christina

Dear all, as we still have a few seats available, we decided to postpone the deadline for pre-registration to June 15. Make use of it… (all details below) Best, Britta ---- Dear all, hereby, we would like to draw your attention to the upcoming workshop “Cortex Structure and Function in Monkey, Mouse and Man”. This workshop aims to bring together researchers from the fields of systems neuroscience, comparative transcriptomics, connectomics, and primate palaeobiology in one place to foster mutual awareness and interdisciplinary discussions as well as identify yet unknown principles in the development, organization and function of the primate brain from computational and experimental points of view. * when: Sep 21-24, 2026 * where: Hanse Wissenschaftskolleg (HWK) Delmenhorst, Germany * pre-registration by Jun 15, 2026 via https://www.uni-bremen.de/hwk-workshop-2026 <https://www.uni-bremen.de/hwk-workshop-2026> workshop outline: Evolution in mammal brains has formed basic building blocks that might superficially look similar, but are organized in different structures and are obviously specialized for distinct computations. Accumulating evidence indicates that, while rodents are close evolutionary relatives to our own primate lineage, fundamental changes on all levels of brain organization occurred at the primate-rodent-split. In addition, subsequent primate evolution appears to be marked by apparently qualitative grade shifts. Recent progress across distinct disciplines provides a springboard to take a fresh perspective on what makes primate brains special. This workshop aims to enhance this comparative cognition perspective by contributions on avians and machines, which, despite having very different “brain” structures, perform functions that are surprisingly similar to those of mammals. Confirmed speakers: Tatjana Engel, Katja Nowick, Marieke Schölvinck, Matthias Kaschube, Henner Koch, Ken Miller, Huib Mansfelder, Wiktor Mlynarski, Fabian Sinz, Andreas Neef, Dan Eric Nilsson, Madineh Sedigh-Sarvestani, Ziad Hafed, Fred Wolf, Daniel Huber, Alessandro Treves, David Dahmen, Neda Shahidi, Jonas Rose, Andreas Kreiter and Udo Ernst. For further information and pre-registration visit https://www.uni-bremen.de/hwk-workshop-2026 <https://www.uni-bremen.de/hwk-workshop-2026> . The workshop is co-funded by the Priority Program SPP 2205 Evolutionary Optimization of Neuronal Processing <https://www.uni-goettingen.de/de/618311.html> and NeuroNex Working Memory <https://www.nxwm.io/> . We are very much looking forward to meeting you in September! **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience 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 9, 2026

Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks

by Robert Legenstein

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/e60aac86-0142-4968-a7f1-87662a99f784 -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

June 8, 2026

📣 Call for Papers: 12th International Artificial Intelligence Symposium (AIS 2026) 🗓 21–24 September 2026 — Riva del Sole Resort & SPA, Tuscany, Italy ⏰ Submission Deadline: June 23, 2026 (AoE)

by ICAS Organizing Committee

*Apologies if you receive multiple copies of this announcement.* *Please kindly forward it to potentially interested authors and attendees. Thank you!* The 12th International Artificial Intelligence Symposium (AIS 2026) will take place from September 21–24, 2026, at the Riva del Sole Resort & SPA in Castiglione della Pescaia (Grosseto), Tuscany, Italy. 🔗 https://ais2026.icas.events 📧 ais(a)icas.cc SATELLITE EVENT 🎓 4th International Meeting on Foundation Models (IMFM 2026) 🔗 https://ais2026.icas.events/imfm2026/ 📌 PAPER SUBMISSION All papers must be submitted through EasyChair: 🔗 https://easychair.org/conferences/?conf=ais20260 ⏰ Paper Submission Deadline: June 23, 2026 (AoE) CALL FOR PAPERS 🔗 https://ais2026.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 format. 📚 TYPES OF SUBMISSIONS When submitting a paper to AIS 2026, authors must select one of the following categories: • Long Paper / Late-Breaking Paper Original, novel, and unpublished work (12–15 pages in Springer LNCS format). Accepted papers will be published in the Springer Nature LNCS conference proceedings. • Short Paper Extended abstracts presenting novel work (6–11 pages in Springer LNCS format). Accepted papers will be published in the Springer Nature LNCS conference proceedings. • Oral Presentation Only No page restrictions; any format accepted. This category is intended, for example, for work already published elsewhere that is relevant to the conference and may stimulate fruitful discussion. Contributions accepted in this category will not be published in the Springer Nature LNCS proceedings. • Poster Presentation Only No page restrictions; any format accepted. This category is intended, for example, for work already published elsewhere that is relevant to the conference and may stimulate fruitful discussion. Contributions accepted in this category will not be published in the Springer Nature LNCS proceedings. KEYNOTE SPEAKERS As in previous editions, AIS 2026 will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), creating a unique and stimulating environment for interdisciplinary exchange. This co-location is designed to strengthen interactions among researchers, practitioners, and students, fostering cross-fertilization of ideas and encouraging new collaborations within the artificial intelligence community. All conference participants will have full access to IAISS 2026 activities, including keynote lectures delivered by leading international experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking. IAISS 2026 Lecturers • Stefano V. Albrecht — Nanyang Technological University, Singapore • Mikhail Belkin — University of California San Diego, USA • Giuseppe De Giacomo — University of Oxford, UK • Christoph Feichtenhofer — Meta Superintelligence Labs, Menlo Park, CA, USA • Jamie Hayes — Google DeepMind, UK • Sumi Helal — University of Bologna, Italy • Albert Q. Jiang — Mistral AI, Paris, France & University of Cambridge, UK • Marine Le Morvan — INRIA Saclay, France • Bruno Lepri — FBK, Italy • George Paliouras — National Center for Scientific Research “Demokritos”, Athens, Greece • Panos Pardalos — University of Florida, USA More lecturers to be announced. PAST KEYNOTE SPEAKERS 🔗 https://ais2026.icas.events/past-keynote-speakers/ AIS Leonardo Fibonacci BEST PAPER AWARD 🔗 https://ais2026.icas.events/best-paper-award/ PROGRAM COMMITTEE 🔗 https://ais2026.icas.events/program-committee/ VENUE 🔗 https://ais2026.icas.events/venue/ AIS 2026 will take place at the Riva del Sole Resort & SPA, Tuscany, Italy. AIS 2026 is a residential conference. All participants (invited speakers, authors, organizers, chairs, and attendees) are required to stay at the Riva del Sole Resort & SPA. No exceptions will be permitted. Riva del Sole Resort & SPA 📍 Località Riva del Sole, 58043 Castiglione della Pescaia (Grosseto), Tuscany, Italy 📞 +39-0564-928111 📠 +39-0564-935607 📧 booking.events(a)rivadelsole.it 🌐 www.rivadelsole.it/en ACTIVITIES 🔗 https://ais2026.icas.events/activities/ Submit your research work today: 🔗 https://easychair.org/conferences/?conf=ais20260 We look forward to welcoming you to beautiful Tuscany in September! Best regards, AIS 2026 Organizing Committee 🔗 https://ais2026.icas.events 📧 ais(a)icas.cc Past Editions 🔗 https://ais2026.icas.events/past-editions/ Facebook: https://www.facebook.com/groups/2236577489686309/ X / Twitter: https://twitter.com/TaoSciences LinkedIn: https://www.linkedin.com/groups/19150026/ AIS 2026 Poster 🔗 https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-po… Please note that this announcement is only a Call for Papers. For complete and continuously updated information, please refer to the official conference website: https://ais2026.icas.events *Apologies again for multiple copies. Please forward this announcement to anyone who may be interested. Thank you!*

June 8, 2026

World wide VVTNS series (6th season): June 10 2026 | Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control | Alexandre Leon Mahrach IDIBAPS, Barcelona

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Alexandre Leon Mahrach IDIBAPS, Barcelona on the topic of Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control The lecture will be held on Zoom on June 10, 2026 at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > > *Abstract: *Complex behavior requires neural circuits to compose elementary operations—maintaining memories, evaluating sensory cues, suppressing premature actions—into context-appropriate programs. How prefrontal dynamics reorganize to support such composition when task demands compete within a shared neural population remains unclear. Here, we developed a dual-task paradigm in mice that combined a delayed paired-association (DPA) task with an olfactory Go/No-Go (GNG) discrimination embedded in the delay period. Mice learned the dual task rapidly, with early errors dominated by false alarms on unpaired DPA trials. Interference was asymmetric: Go cues disrupted performance more than No-Go cues, pinpointing premature action rather than memory failure as the central learning bottleneck. Population calcium imaging from medial prefrontal cortex (mPFC) showed that sample identity, choice tendency, and test identity occupied near-orthogonal subspaces of a shared low-dimensional manifold. As training progressed, sample representations remained stable while delay-period activity shifted away from the action-associated region. To probe the underlying circuit mechanisms, we trained low-rank recurrent neural networks on the same paradigm. Networks developed a circular manifold on which memories were stored as attractors at distinct angular positions, and test stimuli acted as compositional rotation operators, routing stored memories to appropriate actions. Dual-task training relocated mnemonic attractors to a position that a reduced geometric model identified as Pareto-optimal—revealing a fundamental tradeoff in which optimizing one task necessarily impairs the other. Consistently, optogenetic inhibition of ACC→mPFC projections during the delay displaced attractor geometry and selectively biased DPA versus GNG accuracy, matching the reduced model's prediction. Together, our results reveal how prefrontal circuits dynamically reshape attractor geometry through learning-dependent attractor fine-tuning, providing a mechanistic framework for how cortex resolves competing cognitive demands. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

June 8, 2026

1st Call for Participation: International Artificial Intelligence Summer School – IAISS 2026, Sept 20-24, Riva del Sole Resort & SPA @ Tuscany * Registration: by June 23 *

by ICAS Organizing Committee

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2026, A Residential Summer School in Frontier AI IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. 📍 Riva del Sole Resort & SPA @ Tuscany, Italy, 🗓 Sept 20-24, 2026 🔗 https://2026.iaiss.cc iaiss(a)icas.cc 🎤 LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Stefano V. Albrecht, Nanyang Technological University, Singapore Giuseppe De Giacomo, University of Oxford, UK Christoph Feichtenhofer, Meta Superintelligence Labs, USA Sven Giesselbach, T-Systems International, Germany Jamie Hayes, Google DeepMind, UK Sumi Helal, University of Bologna, Italy Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK Marine Le Morvan, INRIA Saclay, France Bruno Lepri, FBK, Italy Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen, Denmark George Paliouras, National Center for Scientific Research "Demokritos", Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA 🔗 https://2026.iaiss.cc/lecturers/ 🔗 https://2026.iaiss.cc/lectures/ 🚨 REGISTRATION: by June 23 (AoE) https://2026.iaiss.cc/registration/ Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract can be submitted by June 23 during the registration process. PAST EDITIONS: https://2026.iaiss.cc/previous-editions/ IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence: https://2026.iaiss.cc/best-presentation-award/ VENUE: https://2026.iaiss.cc/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ ✅ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2026 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School. Language: English. To participate in the IAISS 2026, all attendants must (1/2) register for the school (by June 23, 2026) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2026); all attendants must stay at the “Riva del Sole Resort & SPA”. Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss(a)icas.cc) IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in IAISS 2026 should register as soon as possible: 👉 https://2026.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2026 Organizing Committees. https://2026.iaiss.cc iaiss(a)icas.cc https://www.linkedin.com/groups/19146028/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2026.iaiss.cc the News Section: https://2026.iaiss.cc/category/news/ and the FAQ: https://2026.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

June 7, 2026

GeMAIHc 2027: early registration June 22

by David Silva - IRDTA

******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA – Institute for Research Development, Training and Advice ****************************************************** Early registration: June 22, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), tba PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Faisal Mahmood (Harvard University), tba Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), tba SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david(a)irdta.eu by January 8, 2027. HANDS-ON ACTIVITIES Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Martín-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA – Institute for Research Development, Training and Advice

June 6, 2026

Call for participation - Summer School on Computational Decision Sciences, London, Sept 7-11

by Subramoney, Anand

Dear all, It’s our pleasure to announce the Graduate Summer School on Computational Decision Sciences (GSS-CDS<https://center-decision-sciences.com/cds-graduate-school-2026/>)––the second edition of the summer school at the Centre for Decision Sciences, Royal Holloway, University of London. What GSS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields (see Program<https://center-decision-sciences.com/program-2026/>). The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from talks from leading researchers and practical hands-on sessions. Attendees will also have the opportunity to receive career advice during social networking events and reflect critically about research practices in EDI sessions. Where and When GSS-CDS will take place at Stewart House, within Senate House<https://center-decision-sciences.com/directions/>, in Central London, on September 7th-11th (see Schedule<https://center-decision-sciences.com/schedule-2026/>). Target audience GSS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modeling is required. Registration Course fee is £480 (includes the registration fee, lunch, tea/coffee breaks, reception events and VAT). To register, please visit this page<https://center-decision-sciences.com/registration-2/>. Places are limited and registrations will close on Monday, June 15th, at 10am UK time. Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

June 5, 2026

Fully Funded PhD Fellowship in Computational Neuroscience in Rome

by Pazienti Antonio

A PhD position is available at the Italian National Institute of Health (Rome) in the group of Maurizio Mattia ____________________________________________________________________________________ PhD (Rome) – Computational Neuroscience / Dynamical Systems / Epilepsy Fully funded PhD at Sapienza University Project: Multiscale Digital Twin for Pediatric Focal Epilepsy Based on Recurrent Neural Networks. Focus on: * Data-driven modeling of brain dynamics * Analysis of clinical time-series * Inference of dynamical systems from experimental data Looking for candidates with strong background in: physics / applied math / theoretical neuroscience, and interest in real data analysis. ML (incl. RNNs) used as a tool—not the main focus. Deadline: 17 June 2026 Oral interview for selected applicants (in-presence): 7 July 2026 https://phd.uniroma1.it/web/concorso42.aspx?s=&i=3528&m=&l=EN&p=&a= Contact: Antonio Pazienti antonio.pazienti(a)iss.it<mailto:antonio.pazienti@iss.it> , Maurizio Mattia maurizio.mattia(a)iss.it<mailto:maurizio.mattia@iss.it> ______________________________________________________________________________________________ Long version follows: ________________________________________________________________________________________ PhD position (f/m/d) in Computational Neuroscience (Strong Mathematics / Theoretical Physics Background Preferred) Project: Multiscale Digital Twin for Pediatric Focal Epilepsy Based on Recurrent Neural Networks Sapienza University of Rome (Italy) and Italian National Institute of Health (ISS) Application deadline: 17 June 2026, 14:00 (CET) Oral interview for selected applicants (in-presence): 7 July 2026, 14:00 (CET) @Sapienza University, Rome Project Overview We invite applications for a fully funded PhD position within the Sapienza PhD programmes (42nd cycle, A.Y. 2026/2027) focused on developing quantitative models of pediatric focal epilepsy grounded in experimental data. The project aims to build a multiscale digital twin of the epileptic brain, integrating: * Experimental recordings (e.g., EEG, SEEG) * Neuroimaging-derived structure and connectivity * Mathematical and dynamical models of neural activity Digital brain twins are personalized computational models that integrate structural and functional data to capture brain dynamics and support clinical decision-making, particularly relevant for epilepsy. The PhD will focus on: * Analysis of large-scale experimental datasets (EEG, clinical recordings) * Inference of dynamical models from data * Development of data-constrained multiscale models of seizure dynamics * Use of machine learning tools (including RNNs) as part of a broader modeling and inference framework, rather than as an end in itself PhD Programme The position is part of a Sapienza PhD programme in neuroscience / computational neuroscience-related disciplines at one of Europe’s largest universities. Key features: * Duration: 3 years * Interdisciplinary training combining: * Neuroscience and clinical research * Mathematics, physics, and dynamical systems * Data analysis and statistical inference * Structured doctoral training with research activities and seminars Sapienza PhD programmes aim to develop independent researchers with strong analytical and methodological skills in complex systems and biomedical data. Funding This is an externally funded PhD position within the official Sapienza call, including: * Full PhD scholarship (baseline ≈ €16k gross/year) * Additional funding for research and mobility Candidate Profile We are explicitly seeking candidates with a strong quantitative and analytical background, and a clear interest in working with real experimental data. Required * MSc (or equivalent) in: * Physics * Applied Mathematics * Theoretical Physics * Engineering or related quantitative disciplines * Strong skills in: * Mathematical modeling (dynamical systems, stochastic processes) * Data analysis and statistical inference * Programming (Python or equivalent) Strongly preferred * Demonstrated interest in: * Analysis of experimental or observational data * Time-series data and signal processing * Experience with: * Neural or physiological data (e.g., EEG/MEG) * Inverse problems or parameter estimation * Scientific computing Additional (not mandatory) * Familiarity with machine learning methods (e.g., RNNs) (primarily as tools for modeling or inference, not as a core requirement) What You Will Gain * Training at the interface of mathematics, data analysis, and neuroscience * Experience working with real clinical and experimental datasets * Skills in model-based inference and multiscale modeling * Opportunity to contribute to clinically relevant research in epilepsy Location Rome, Italy — Sapienza University, a leading European research institution with a large international PhD community, and Italian National Institute of Health Application Process Applications must be submitted via the official Sapienza portal: https://phd.uniroma1.it/web/concorso42.aspx?s=&i=3528&m=&l=EN&p=&a= Typical required documents: * CV * Academic transcripts * Motivation letter (strong emphasis on quantitative/data analysis experience) * References Oral interview for selected applicants (in-presence): 7 July 2026, 14:00 (CET) @Sapienza University, Rome Informal Inquiries For questions, please contact: Antonio Pazienti antonio.pazienti(a)iss.it<mailto:antonio.pazienti@iss.it> Maurizio Mattia maurizio.mattia(a)iss.it<mailto:maurizio.mattia@iss.it> behavneurosci-phd(a)uniroma1.it<mailto:behavneurosci-phd@uniroma1.it> ________________________________________________________________________________________ Thank you, ---- Antonio Pazienti, PhD National Center for Radiation Protection and Computational Physics Italian National Institute of Health Viale Regina Elena 299, 00161 Roma (Italy) Phone: +39 06 4990 2857 E-mail: antonio.pazienti(a)iss.it<mailto:antonio.pazienti@iss.it> [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

June 4, 2026

NEST Conference 2026 on 16/17 June — Program overview — Register now!

by Hans Ekkehard Plesser

Dear Colleagues! We are very much looking forward to the NEST Conference 2026 which will take place in two weeks time on Tuesday / Wednesday 16/17 June 2026. We are excited to share with you an overview over the program we have assembled with three keynotes, three tutorials, one dozen talks and eleven posters. You will find presenters and contributions below. Please register at https://nest-simulator.org/conference at your earliest convenience! If you want to use the member rate (20€; normal rate 50€), you must apply for NEST Initiative e.V. membership and pay your dues by Sunday 7 June. Students, including PhD students, do not need to pay membership dues, for all others it is 25€ for 2026. Please go to https://www.easyverein.com/public/NESTINI/applicationform/13809 to apply. Absolutely last deadline for registration is Sunday 14 June at 23.59 CEST (UTC+2). See you at the NEST Conference 2026! Hans Ekkehard Plesser on behalf of the organizing committee Keynote Agnes Korcsak-Gorzo Biologically plausible supervised learning in large-scale networks Fynn Dobler, Maxime Carrire Lost in translation: How porting a brain-constrained model of word semantics to NEST revealed undocumented model assumptions Pablo Martinez-Canada From Circuits to Signals and Back: Integrating Biophysical Forward Modelling and Simulation-Based Inference to Decode Brain Dynamics Tutorial Agnes Korcsak-Gorzo Biologically plausible supervised learning with event-driven eligibility propagation Charl Linssen, Pooja Babu Modeling and simulating neuron models from NESTML on neuromorphic hardware Willem Wybo Creating, analyzing, simplifying, and simulating biophysical neurons with NEAT Talks Carlos Enrique Gutierrez Neuro-Workflow: Agent-Assisted Brain Modeling Catherine Schofmann Scaling Neural Networks On Accelerators With Procedural Connectivity Generation Gianmarco Tiddia Scalable network construction method for NEST GPU enables efficient multi-GPU simulations Jan Eirik Skaar, Hans Ekkehard Plesser Practice report: Porting a complex network model from BRIAN2 to NEST Jan Vogelsang, Susanne Kunkel Rethinking Synapse Placement in NEST for Cache-Efficiency on Many-Core Exascale Architectures Mahesh Madhav, Hans Ekkehard Plesser Issue #3217: Making NEST a part of the SPEC CPU 2026 benchmark suite Melissa Lober NUMA balancing hampering performance of spiking network simulations Pedro Ribeiro Pinheiro Simulating prefrontal cortex dynamics in a data-driven spiking neural network Rafael Fernando Gigante A Large-Scale Spiking Network Model of the Primary Motor Cortex Razvan Gamanut Subthreshold Dynamics in a Gap-Junction-Coupled PV Network Model of the Claustrum Sinovia Fotiadou Bridging NEST Microcircuits to Zerlaut Mean-Field Models: A Reproducible Single-Region Workflow for the Virtual Brain Twin Tibor Rozsa Toward reliable visual prosthetic stimulation under highly variable spontaneous activity Poster Alex Dimitrov et al Statistics of spiking neural networks based on counting processes Ariel Shmilli et al Long-term memory consolidation in spiking neural networks Camilo Jara Do Nascimento et al Dendritic plateau potentials enable learning over long timescales Charl Linssen et al Automated code generation of advanced plasticity rules for the SpiNNaker neuromorphic platform using NESTML Daniel Todt Parameter specification in spiking neural networks using NEST and simulation-based inference José Villamar et al Scaling up to billions of spiking neurons and trillions of synapses with NEST GPU Krishna Kant Singh Empowering Neuroscience Research with Portable HPC Containers Marie Olli Structural plasticity in large-scale spiking neural networks Markus Diesmann On polynomials in spiking neuronal network simulations Noah Ostendorf Motiforge: Flexible Motif-Constrained Network Generation for Structured Neural Architectures Pooja Babu Modeling and simulating two-compartment neuron model with NESTML on NEST GPU -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

June 2, 2026

PhD positions in mathematical neuroscience at Université Côte d'Azur

by yuxiu.shao＠univ-cotedazur.fr

Dear all, I am establishing a new research group at Université Côte d'Azur and am recruiting PhD students to work at the interface of mathematics, physics, and neuroscience. Our research develops a unified mathematical framework to understand how structural connectivity shapes neural dynamics, and uses this framework to uncover the mechanisms underlying adaptive, flexible behavior. More details about the PhD positions can be found here: https://shaonannan.github.io/position/ I would greatly appreciate it if you could share this message with anyone who might be interested. All applications will be treated confidentially and without bias. Best regards, Yuxiu SHAO Chaire de Professeur Junior Laboratoire Jean Alexandre Dieudonne (LJAD/CNRS UMR7351) & NeuroMod Université Côte d'Azur Campus Sciences, Parc Valrose, 28 avenue Valrose

June 2, 2026

Open postdoc position: Spinal Cord Stimulation for Children with Cerebral Palsy

by Genís Prat Ortega

Hi all, We invite applications for a postdoctoral researcher at the Rehab and Neural Engineering Labs (RNEL), University of Pittsburgh. RNEL <https://www.rnel.pitt.edu/> offers a highly collaborative environment where BCI and neurostimulation groups work together with the mission to improve the quality of life of individuals with neurological impairments. The postdoctoral researcher will lead a pioneering research to test the efficacy and safety of spinal cord stimulation and deep brain stimulation to improve motor and cognitive function for children with Cerebral Palsy. This role involves: - Leading first-in-human clinical trials - Design and conduct human electrophysiology experiments - Develop computational modeling of neural networks to investigate the mechanisms underlying neurostimulation. The ideal candidate has a background in Mathematics, Physics, Computational Neuroscience, Neuroengineering or any related field. Experience in clinical trials is not required but the candidate must be motivated to lead the research sessions. We are seeking a Postdoctoral Researcher motivated to work in a multidisciplinary team together with neurosurgeons, physical therapists, neurologists and neuroengineers to bring new neurostimulation therapies to children with Cerebral Palsy. If any of these ideas sound interesting to you, send me an email with your CV and a short motivation at gep67(a)pitt.edu. Questions are welcome—don't hesitate to reach out. The position is available immediately and will remain open until filled. Genis Prat Ortega, PhD Assistant Professor Department of Neurological Surgery Rehabilitation and Neural Engineering Laboratories, University of Pittsburgh

June 1, 2026

World wide VVTNS series (6th season): June 3, 2026 | Emergent associative plasticity in neuronal networks with limited synaptic resources | Stefan Rotter, University of Freiburg

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Stefan Rotter Bernstein Center Freiburg & Faculty of Biology, University of Freiburg, Germany on the topic of Emergent associative plasticity in neuronal networks with limited synaptic resources The lecture will be held on Zoom on June 3, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Structural plasticity and other forms of network remodeling are important and well-documented processes during brain development, maturation, learning, and aging. Remarkably high turnover rates in neural connectivity have been observed under baseline conditions, and these rates increase even more significantly in response to stimulation or perturbation. However, little is known about the underlying molecular mechanisms and biological function of this drastic form of brain plasticity. Since direct experiments on connectivity at the synaptic level are notoriously difficult to conduct and analyze, formal models are crucial for predicting and understanding the emergent properties of networks (or graphs) with highly dynamic structures. Building on our previous work on homeostatic structural plasticity, we have developed a new model of self-organizing networks based on the “directed configuration model.” It exhibits Hebbian plasticity (“neurons that fire together wire together”) and engram formation without specific molecular mechanisms. I will also discuss possible connections with psychological phenomena such as classical conditioning, extinction, and blocking, and describe new machine learning strategies based on self-organizing networks that can be derived from our biologically motivated theory. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

May 31, 2026

YHV Foundational Python Masterclass for Biomedical Researchers | Final Call

by Tolulope Samuel Oladele

*F I N A L C A L L* New researchers and students often find themselves overwhelmed by standard programming tutorials that lack biological context, or by advanced scripts filled with heavy technical jargon. To help bridge this gap, we are hosting a 3-week virtual hands-on training tailored specifically for researchers who want to master the basics of Python without the computer science overwhelm. The goal is to provide a solid foundation so that participants can confidently analyze experimental datasets and begin building biologically-informed computational models. In this masterclass, we focus on: - *Core concepts explained in simplified form:* Bypassing heavy tech jargon to teach Python in a simplified learning process. - *Biological applications:* Applying coding directly to experimental and biomedical data with hands-on projects. - *Cloud computing:* Learning to run analyses in the browser (no high-powered hardware required). - *Practical outcomes:* Moving from zero coding experience to creating publication-quality visuals. *Target Audience:* This training is for students, early-stage PhDs, and experimental researchers at any level who want to integrate computational techniques into their work but find the initial coding barrier difficult to understand or intimidating. No prior programming experience is required. *Date & Location* - *Registration Deadline: June 4, 2026* - *Duration:* 3 Weeks (Weekend classes for flexibility) - *Location:* Virtual / Online *Registration & Bonuses* You can register online: https://selar.com/606577gkg *[Registration Fee: $9.95; Deadline: June 4, 2026]* *Special Bonus:* Participants will receive a verifiable Certificate of Completion and a *free 1-month post-training mentorship guide* to help seamlessly integrate the new hands-on skill directly into your current research or thesis. Best Regards, Tolulope Oladele

May 29, 2026

Fwd: Postdoctoral Associate in Computational Neuroscience at UWF

by Shusen Pu

Dear Admin, Could you please forward my announcement to the community? Please let me know if any additional information is needed. Thank you, Shusen Pu ---------- Forwarded message --------- From: Shusen Pu <spu(a)uwf.edu> Date: Thu, May 21, 2026 at 1:11 PM Subject: Postdoctoral Associate in Computational Neuroscience at UWF To: <comp-neuro(a)lists.cnsorg.org> Dear colleagus, I am hiring a postdoctoral associate to join my research group at the University of West Florida, supported by the UWF Center for Computational Intelligence. The position focuses on developing interpretable AI and computational modeling frameworks to study fundamental questions in neuroscience. The postdoctoral researcher will work on projects integrating neural recordings, dynamical systems models, recurrent neural networks, and modern AI approaches to study cognition, neural dynamics, and motor control. The position will also involve close collaboration with experimental collaborators, model-data integration, generation of testable predictions, manuscript preparation, and development of preliminary results for NSF/NIH grant proposals. Candidates with backgrounds in computational neuroscience, neuroscience, applied mathematics, statistics/biostatistics, computer science, artificial intelligence, machine learning, data science, or related fields are encouraged to apply. Strong programming skills in Python and/or MATLAB are required. Experience with computational neuroscience, interpretable AI, machine learning, dynamical systems, recurrent neural networks, neural population data analysis, EEG/ERP analysis, or reproducible computational workflows would be especially welcome. The position is approved for 2 years, with funding available to extend to a 3rd year depending on progress and agreed-upon goals. The salary range is $65,000–$80,000 annually. The preferred response date is July 15, 2026. The position is based at the University of West Florida in Pensacola, Florida. Postdocs are expected to live locally and work on campus, with schedule flexibility coordinated with the PI. Applicants must apply through the official UWF Careers website: https://careers.uwf.edu/jobs/postdoctoral-associate-130210-pensacola-main-c… Applicants should submit a CV, letter of interest, and three recommendations through the UWF application system. Please note that employment-based visa sponsorship will not be considered for this position. Please feel free to share this announcement with potentially interested candidates. Best regards, Shusen Pu -- Shusen Pu, Ph.D. Assistant Professor Department of Mathematics and Statistics University of West Florida 850.474.2180 Office <850.474.2180> spu(a)uwf.edu Pu's MIND Lab: https://www.pusmindlab.com/ <https://www.shusenpu.com/> [image: University of West Florida logo] <https://uwf.edu/> [image: U.S. News and World Report Best Colleges Regional Universities South 2026 badge.] <https://uwf.edu/rankings/> -- Shusen Pu Assistant Professor Department of Mathematics and Statistics University of West Florida 850.474.2180 Office <850.474.2180> spu(a)uwf.edu Pu's MIND Lab: https://www.pusmindlab.com/ <https://www.shusenpu.com/> [image: University of West Florida logo] <https://uwf.edu/> [image: U.S. News and World Report Best Colleges Regional Universities South 2026 badge.] <https://uwf.edu/rankings/>

May 28, 2026

[Registration open] Fourth edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 24-26 September 2026

by Jorge Almeida

Dear colleague, (Sorry for the cross posting and mass email) *Registration* and *abstract submission* are now *open* for the fourth edition of the *Seeing and Acting Workshop (SAW <https://www.uc.pt/cogbooster/saw/2026/>)* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 24-26, 2026 in Coimbra, Portugal*. Please register here: SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra <https://ucstore.uc.pt/event/saw-2026-seeing-and-acting-workshop-14/register> For the fourth edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: · *Marina Bedny*, Johns Hopkins University, USA · *Jeffrey Bowers*, University of Bristol, , UK · *Tim Kietzmann*, University of Osnabrück, Germany · *Robeta Klatzky*, Carnegie Mellon University, USA · *Kami Koldewyn*, Bangor University, UK · *Marius Peelen*, Radboud University, Netherlands · *Elizabeth Tibbetts*, University of Michigan, USA The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 30, 2026*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by NeuroVerse. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2026/ <https://www.uc.pt/cogbooster/saw/2025/> and SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra <https://ucstore.uc.pt/event/saw-2026-seeing-and-acting-workshop-14/register> Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 30, 2026 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pavão Martins

May 28, 2026

Human Neocortical Neurosolver (HNN) Virtual Workshop

by Gao, Joyce

Dear all, We invite you to join us for a free, virtual Human Neocortical Neurosolver (HNN) Workshop in collaboration with Neuroscience Gateway (NSG)! This workshop will take place on June 22nd from 12 - 3 PM (EDT) on Zoom. HNN is a user-friendly software tool for interpreting the cell and circuit level origin of human MEG and EEG signals (Neymotin et al 2020, https://hnn.brown.edu/) We will go over the basics of HNN, simulating and optimizing ERPs. Attendees will also be introduced to NSG resources and learn how to submit batch HNN simulations on NSG. You can find out more about the workshop and register here: https://forms.gle/DAvnwaBbR6qbNjyM9. Seats are limited, so if you are interested, we recommend signing up today! Our best, Jones Computational Neuroscience Lab Brown University, Carney Institute for Brain Science

May 27, 2026

Submit to COMPLEX NETWORKS 2026 (📍Granada, Spain) – 🎤 Keynotes Announced & 📚 2025 Proceedings Free!

by Fabian Braesemann

Dear colleagues, 🚀 COMPLEX NETWORKS 2026 will take place in Granada, Spain 📅 Conference: December 2-4, 2026 📝 Submission Deadline: September 2, 2026 We invite you to submit your work and join one of the most vibrant communities in network science and complex systems. ________________________________ 🎓 Keynote Speakers Hear from global leaders pushing the boundaries of network science: * Alexandra Brintrup - University of Cambridge, UK * Nitesh Chawla - University of Notre Dame, USA * From Ships to Molecules: Higher-Order Graph Learning Across Scales<https://complexnetworks.org/keynotes/#talkkeynote2> * Kimmo Kaski - Aalto University, Finland * Bruno Lepri - Bruno Kessler Foundation, Italy * Eckehard Scholl - TU Berlin, Germany * Synchronization Scenarios in Complex Networks: from Brain Dynamics to Power Grids<https://complexnetworks.org/keynotes/#scholl-abstract> “A must-attend conference" ________________________________ 📚 Free Access to COMPLEX NETWORKS 2025 PROCEEDINGS Until May 31, 2026, download: * 📘 Springer Proceedings (Volumes 1–4) * 📖 Book of Abstracts 👉 Access here<https://complexnetworks.org/proceedings/> https://complexnetworks.org/proceedings/ ________________________________ 📢 Call for Submissions ✅ Full Papers (max 12 pages) → Published in the Springer LNCS Proceedings ✅ Extended Abstracts (max 4 pages) → Included in the Book of Abstracts (with ISBN) 🔗 Submit your work: 👉 https://complexnetworks.org/submission/ Templates and guidelines are available on the site. Don’t miss this opportunity to share your work, meet leading researchers, and explore the future of complex networks. We look forward to your submission! Warm regards, The COMPLEX NETWORKS 2026 Organizing Committee 📧 hocine.cherifi(a)gmail.com | 🌐 https://complexnetworks.org<https://complexnetworks.org/> PS: Welcome to join the group of Complex Networks on LinkedIn (https://www.linkedin.com/groups/17872021) and follow us on X/Twitter (@ComplexNetConf)! --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute, University of Oxford Publicity Co-Chair International Conference on Complex Networks and their Applications fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Departmental website<https://www.oii.ox.ac.uk/people/profiles/fabian-braesemann/> | Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138>

May 27, 2026

Call for Applications: MSc Health Data Science at the Swansea University, UK

by Vesna Vuksanovic

* Apologies for cross-posting* We are pleased to invite applications for our MSc Health Data Science programme at Swansea University, UK. Our MSc programme offers a comprehensive curriculum covering key areas including Health Data Statistical Modelling, Visualisation and Linkage, and Machine Learning. The programme is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas and focuses on developing practical, healthcare-ready skills alongside strong theoretical foundations. Our students benefit from hands-on projects to gain relevant, transferable technical skills and software proficiency for working with and manipulating health data, and to learn how to use and apply advanced statistical and machine learning methods with real-world data. 🔗 Learn more and how to apply: MSc Health Data Science - Swansea University<https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-…> 📅 Applications are open for both September and January intakes. For further information or specific queries, please feel free to contact me directly. We look forward to welcoming the next generation of health data scientists! Kind regards Vesna Vuksanovic, PhD, FHEA Programme Lead, MSc Health Data Science Senior Lecturer Health Data Science _______________________________________________________________________________________________________________________________________________ Swansea University Medical School Data Science Building Web: vesna-vuksanovic<https://www.swansea.ac.uk/staff/vesna.vuksanovic/>

May 27, 2026

2026 NEURON summer course registration deadline soon

by McDougal, Robert

A few seats remain open for the 2026 NEURON Summer Course, but the registration deadline is Monday, June 1 — less than a week away -- so you should act now if you want to join us at Duke University in Durham, NC. This course will provide a thorough introduction to computational modeling of neurons and networks with NEURON, and it is suitable for individuals at all levels of expertise. It will start at 9 AM Wednesday, June 10, and end at 5 PM Monday, June 15, 2026. For more information and the on-line application form, see The 2026 NEURON Summer Course: https://github.com/neuronsimulator/nrn/discussions/3729

May 26, 2026

What are the functions of primary visual cortex (V1)?

by Li Zhaoping

Dear colleagues, I am pleased to share Zhaoping, L. (2026) What are the functions of primary visual cortex (V1)? <https://authors.elsevier.com/sd/article/S0959438826000450> in Current Opinions of Neurobiology, 98:103209 the emerging answers have additionally helped to ask "What is vision?", see Zhaoping, L. (2026) Vision as looking and seeing through a bottleneck <https://www.sciencedirect.com/science/article/pii/S0959438826000474> in Current Opinions of Neurobiology, 98:103211 both articles and other relevant information in this website <https://www.lizhaoping.org/Selected-Publications.html>, happy to hear your feedback, to provide more information, and to discuss. 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 26, 2026

Cambridge Open Lab Open Science in Practice Course, Aug 3-7 2026

by Mateusz Kostecki

Hello! Cambridge node of Open Lab project is announcing a new summer course - Open Science in Practice! The Open Science in Practice Summer School is a 5-day immersive programme held in Cambridge (UK), bringing together students and early-career researchers interested in integrating open science into their daily work. The summer school is designed for students and early-career researchers who want to explore and implement open science practices in their work. While the content is broadly applicable across disciplines, the programme is oriented towards applications in neuroscience, with hands-on workshops that will resonate especially with those working with experimental setups, behaviour tracking, and data analysis. The course is divided in two parts: *Open Science Principles* The first two days focus on the foundations of open science, including why it matters, how it shapes research culture, and how to implement open and reproducible practices, from data sharing to open access publishing *Hands-on workhops* This is an opportunity for participants to gain practical experience in important experimental skills that can be applied to your research, such as: – Basic electronics for building or improving experimental setups (e.g., closed-loop setups systems, sensors and much more!) – 3D design and printing using open-source software (FreeCAD) – Open-source software for behavioural analysis (e.g. DeepLabCut). Please find more info here - https://cambridgeopenlab.org/ With best wishes, Mateusz Kostecki -- --- Mateusz Kostecki Postdoc Jekely Lab Heidelberg University https://twitter.com/mtkostecki https://evolvingbehavior.blog/

May 25, 2026

World wide VVTNS series (6th season): Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks | Giancarlo La Camera, Stonybrook University| Wednesday, May 27, 2026, at 11:00 am ET

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Giancarlo La Camera Stonybrook University on the topic of Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks The lecture will be held on Zoom on May 27, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Large recurrent networks are important models in several fields, including neuroscience, machine learning, physics, and applied mathematics. Yet their dynamics are difficult to study directly, because high-dimensional nonlinear systems can exhibit rich behavior that is hard to summarize in terms of individual trajectories. In this talk, I will discuss an approach that seeks to understand such dynamics through the structure of the network’s equilibria. I will focus on a random balanced network of threshold-linear units that undergoes a transition from a single stable equilibrium to extensive chaos as the disorder strength crosses a critical value. Using a combination of Kac–Rice theory, replica calculations, numerical root-finding, and dynamical mean-field theory, we show that the chaotic regime contains an exponentially large number of equilibria. These equilibria are all saddles, but with only a fractionally small number of unstable directions. Surprisingly, despite the completely random connectivity, the equilibria are not scattered randomly through phase space. Instead, they are strongly correlated and confined to a comparatively small region. The chaotic attractor lies within this same region, suggesting a direct geometric link between the organization of unstable equilibria and the collective structure of the dynamics. This picture helps explain why networks with extensive chaos can nevertheless display dynamics dominated by a relatively small number of collective modes. More broadly, the results suggest that the geometry of equilibria provides a useful complementary perspective to dynamical mean-field theory for understanding high-dimensional neural dynamics. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

May 24, 2026

Late-breaking poster abstract submission for the 35th Annual Computational Neuroscience Meeting CNS*2026

by Rubchinsky, Leonid L

Dear Colleagues, We are inviting abstracts for the late-breaking poster-only presentations at the 35th Annual Computational Neuroscience Meeting CNS*2026, Halifax, Canada, July 11-15, 2026. The deadline to submit a late-breaking poster abstracts is June 4. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2026-registration Abstract submission: https://www.cnsorg.org/cns-2026-abstract-submission CNS*2026 information: https://www.cnsorg.org/cns-2026 With kind regards, Leonid Rubchinsky OCNS Vice President, on behalf of the OCNS Board of Directors *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iu.edu https://lrubchin.pages.iu.edu ***********************

May 22, 2026

9th Summer School in Computational Biology — Coimbra, Sept 1–12, 2026

by Renato Duarte

9th Summer School in Computational Biology — from molecules to tissues ===================================================================== Dates: September 1 – 12, 2026 Venue: University of Coimbra, Portugal Website: https://www.uc.pt/events/computationalbiology/ Apply: https://forms.gle/DGehyz1Mbecu5TnT6 Contact: computational.biology(a)uc.pt The Computational Biology network at the University of Coimbra is pleased to announce the 9th edition of the Summer School in Computational Biology. This year with a dedicated Computational Neuroscience day. The school is an intensive introductory course aimed at students from the M.Sc. to postdoctoral levels, with either biological or quantitative-science backgrounds, who wish to acquire skills in computational biology. Applications from B.Sc. students with outstanding records will also be considered. Structure --------- * Introductory lectures, in parallel tracks: - mathematics and physics for biologists - biology for exact-science students * Specialised courses spanning the molecular to the integrated-physiological scales * Seminars on cutting-edge developments by world-leading scientists * Hands-on research projects, applying acquired skills to real problems Topics ------ * Core principles for modelling biological systems * Molecular dynamics of lipid membranes and proteins * Protein–ligand interactions and drug discovery * Data science and AI in biology and biomedicine * Genomics / transcriptomics for characterising cellular mechanisms * Kinetic modelling of metabolic and signalling processes * Modelling of tissues in health and disease * Computational neuroscience / NeuroAI Illustrative applications emphasise biomedical problems. Application ----------- Apply here: https://forms.gle/DGehyz1Mbecu5TnT6 Deadline: May 31 Registration fee for selected candidates: €150 - decisions announced by June 7 - payment due within one week of acceptance, no later than June 15 Further information: https://www.uc.pt/events/computationalbiology/ Queries: computational.biology(a)uc.pt — The Computational Biology network, University of Coimbra (forwarded by Renato Duarte, CNC-UC)

May 22, 2026

On behalf of Davide Carbone: Workshop 'A Scientist's Guide to AI', November 2-5, Paris

by Reinoud Maex

Dear colleagues, We are pleased to announce SGAP 2026 (A Scientist's Guide to AI - Paris), a thematic school for researchers and PhD students in the Île-de-France region who want to get started with machine learning tools in their research. The event will take place November 2–5, 2026, at INRIA Paris (13th arrondissement). The program runs over three days: * two days of tutorials covering ML fundamentals and deep learning. * a third day (Nov 4th) showcasing concrete examples of AI applications across scientific fields. The targeted audience are researchers and students in biology, chemistry, physics and related fields. No prerequisites are needed in machine learning, only core mathematical knowledge and prior python programming will be assumed. Pre-registration are open on the conference website: https://sgap.sciencesconf.org/<https://sgap.sciencesconf.org>, where you can also find the tentative program. Registration is free but mandatory for attendance. See you in November!

May 22, 2026

Postdoctoral Associate in Computational Neuroscience at UWF

by Shusen Pu

Dear comp-neuro community, I am hiring a postdoctoral associate to join my research group at the University of West Florida, supported by the UWF Center for Computational Intelligence. The position focuses on developing interpretable AI and computational modeling frameworks to study fundamental questions in neuroscience. The postdoctoral researcher will work on projects integrating neural recordings, dynamical systems models, recurrent neural networks, and modern AI approaches to study cognition, neural dynamics, and motor control. The position will also involve close collaboration with experimental collaborators, model-data integration, generation of testable predictions, manuscript preparation, and development of preliminary results for NSF/NIH grant proposals. Candidates with backgrounds in computational neuroscience, neuroscience, applied mathematics, statistics/biostatistics, computer science, artificial intelligence, machine learning, data science, or related fields are encouraged to apply. Strong programming skills in Python and/or MATLAB are required. Experience with computational neuroscience, interpretable AI, machine learning, dynamical systems, recurrent neural networks, neural population data analysis, EEG/ERP analysis, or reproducible computational workflows would be especially welcome. The position is approved for 2 years, with funding available to extend to a 3rd year depending on progress and agreed-upon goals. The salary range is $65,000–$80,000 annually. The preferred response date is July 15, 2026. The position is based at the University of West Florida in Pensacola, Florida. Postdocs are expected to live locally and work on campus, with schedule flexibility coordinated with the PI. Applicants must apply through the official UWF Careers website: https://careers.uwf.edu/jobs/postdoctoral-associate-130210-pensacola-main-c… Applicants should submit a CV, letter of interest, and three recommendations through the UWF application system. Please note that employment-based visa sponsorship will not be considered for this position. Please feel free to share this announcement with potentially interested candidates. Best regards, Shusen Pu -- Shusen Pu, Ph.D. Assistant Professor Department of Mathematics and Statistics University of West Florida 850.474.2180 Office <850.474.2180> spu(a)uwf.edu Pu's MIND Lab: https://www.pusmindlab.com/ <https://www.shusenpu.com/> [image: University of West Florida logo] <https://uwf.edu/> [image: U.S. News and World Report Best Colleges Regional Universities South 2026 badge.] <https://uwf.edu/rankings/>

May 21, 2026

FSL Neuroimaging Course 2026 - Registration

by Rezvan Farahibozorg

Dear all, Registration is still open for FSL Course 2026, which will be held in-person June 22nd – 26th in Bordeaux, France. You can find details and registration info here: https://open.oxcin.ox.ac.uk/pages/fslcourse/website/upcoming.html This comprehensive neuroimaging course will cover basic and more advanced analysis tools, as available in FSL software. The course will cover the theory and practice of functional, structural, diffusion and resting state brain image analysis. Background concepts and the practicalities of analyses are taught in detailed lectures. These lectures are interleaved with hands-on practical sessions, where attendees learn how to carry out analysis for themselves on real data. The contents covered in the course are primarily aimed at applications in basic science and clinical research (not clinical practice). If you have any questions, please feel free to contact: fslcourse(a)ndcn.ox.ac.uk We hope to see you at the course! The FSL Course team

May 21, 2026

Two open PhD positions at the Max Planck Institute for Biological Cybernetics

by Roxana Zeraati

Dear all, I recently started my research group at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, and we currently have two open PhD positions. In "Natural Decision Making Group <https://www.kyb.tuebingen.mpg.de/906930/natural-decision-making>", we aim to understand how animals learn the dynamics of their environment across different timescales and adapt their decisions accordingly. We study this in the context of foraging behavior, which allows us to link neural, behavioral, and environmental dynamics in naturalistic settings. Specifically, we develop data-driven, species-specific computational models by integrating methods from reinforcement learning, dynamical systems, and AI. Here you can find more information about the PhD positions and the application process: https://nextcloud.tuebingen.mpg.de/index.php/s/bYwTJibWPXW6NMH I would appreciate it if you could share this call with anyone who might be interested in your academic network. Best wishes, Roxana Zeraati Minerva Fast Track Group Leader Max Planck Institute for Biological Cybernetics

May 20, 2026

Call for participation & posters - workshop “Cortex Structure and Function in Monkey, Mouse and Man” (Sep 21-24, 2026)

by von Behren, Christina

Dear all, hereby, we would like to draw your attention to the upcoming workshop “Cortex Structure and Function in Monkey, Mouse and Man”. This workshop aims to bring together researchers from the fields of systems neuroscience, comparative transcriptomics, connectomics, and primate palaeobiology in one place to foster mutual awareness and interdisciplinary discussions as well as identify yet unknown principles in the development, organization and function of the primate brain from computational and experimental points of view. * when: Sep 21-24, 2026 * where: Hanse Wissenschaftskolleg (HWK) Delmenhorst, Germany * pre-registration by May 31, 2026 via https://www.uni-bremen.de/hwk-workshop-2026 workshop outline: Evolution in mammal brains has formed basic building blocks that might superficially look similar, but are organized in different structures and are obviously specialized for distinct computations. Accumulating evidence indicates that, while rodents are close evolutionary relatives to our own primate lineage, fundamental changes on all levels of brain organization occurred at the primate-rodent-split. In addition, subsequent primate evolution appears to be marked by apparently qualitative grade shifts. Recent progress across distinct disciplines provides a springboard to take a fresh perspective on what makes primate brains special. This workshop aims to enhance this comparative cognition perspective by contributions on avians and machines, which, despite having very different “brain” structures, perform functions that are surprisingly similar to those of mammals. Confirmed speakers: Tatjana Engel, Katja Nowick, Marieke Schölvinck, Matthias Kaschube, Henner Koch, Ken Miller, Huib Mansfelder, Wiktor Młynarski, Fabian Sinz, Andreas Neef, Dan Eric Nilsson, Madineh Sedigh-Sarvestani, Ziad Hafed, Fred Wolf, Daniel Huber, Alessandro Treves, David Dahmen, Neda Shahidi, Jonas Rose, Andreas Kreiter and Udo Ernst. For further information and pre-registration visit https://www.uni-bremen.de/hwk-workshop-2026. The workshop is co-funded by the Priority Program SPP 2205 Evolutionary Optimization of Neuronal Processing <https://www.uni-goettingen.de/de/618311.html> and NeuroNex Working Memory <https://www.nxwm.io/> . We are very much looking forward to meeting you in September! Best regards (on behalf of the organizers), Britta **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience 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

May 20, 2026

IMOL Online Seminar – Karl Friston: “The Physics of Motivation” – 17 June 2026

by Nicola Catenacci

[Apologies for multiple posts; please distribute to interested people] Dear colleagues, We are pleased to launch the *Intrinsically Motivated and Open-ended Learning (IMOL) Online Seminar Series*. IMOL research explores how learning systems can autonomously generate goals, acquire skills, and continually adapt through open-ended interactions with the environment. Inspired by mechanisms observed in humans and animals, such as intrinsic motivations and self-motivated behaviour, the field brings together ideas from AI, robotics, neuroscience, developmental psychology, and cognitive science. The series will host leading scientists presenting recent advances and perspectives on IMOL themes and related topics. We are honoured to announce that the first seminar in the series will be delivered by *Professor Karl Friston (UCL, UK), who will present a talk entitled “The Physics of Motivation” the 17th of June 2026*. More information about the talk, together with the online meeting link, is provided below. The seminar series is organised by the IMOL Community, which also coordinates the IMOL workshop series and related initiatives. If you are interested in learning more about IMOL, or getting involved in the community, we encourage you to apply for membership ( http://www.imol-community.org/) and subscribe to the mailing list ( https://groups.google.com/g/imol-community) We look forward to seeing you on June 17th. Best regards, Nicola ************ MEETING DETAILS ************ - TITLE: The physics of motivation - WHEN: 17th of June, 16:30 (UCT+1; BST) - LINK: IMOL seminar - Karl Friston | Meeting-Join | Microsoft Teams <https://teams.microsoft.com/meet/332210692358706?p=W4WlQZzUA9yOALkuK5> - ABSTRACT: This overview of the free energy principle offers an account of embodied exchange with the world that associates neuronal operations with actively inferring the causes of our sensations. Its agenda is to link formal (mathematical) descriptions of dynamical systems to a description of perception in terms of beliefs and goals. The argument has two parts: the first calls on the lawful dynamics of any (weakly mixing) ergodic system – from a single cell organism to a human brain. These lawful dynamics suggest that (internal) states can be interpreted as modelling or predicting the (external) causes of sensory fluctuations. In other words, if a system exists, its internal states must encode probabilistic beliefs about external states. Heuristically, this means that if I exist (am) then I must have beliefs (think). The second part of the argument is that the only tenable beliefs I can entertain about myself are that I exist. This may seem rather obvious; however, it transpires that this is equivalent to believing that the world – and the way it is sampled – will resolve uncertainty about the causes of sensations. We will consider the implications for functional anatomy, in terms of predictive coding and hierarchical architectures, and conclude by looking at the epistemic behaviour that emerges – using simulations of active inference. - SPEAKER: *Karl J. Friston*, MBBS, MA, MRCPsych, MAE, FMedSci, FRBS, FRS. Professor: Queen Square Institute of Neurology, University College London. Honorary Consultant: The National Hospital for Neurology and Neurosurgery. Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include Variational Laplace and generalized filtering for hierarchical Bayesian model inversion. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a free-energy principle for action and perception (active inference). Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, College de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO (excellence in the life sciences) in 2014 and the Academia Europaea in (2015). He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award, a lifetime achievement award in the field of human brain mapping. He holds Honorary Doctorates from the Universities of York, Zurich and Radboud University. ------------------------------------------------------------------------------------------------------------------------------- Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire School of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi(a)herts.ac.uk

May 19, 2026

Open Faculty Position – Department of Computer Engineering, Universidad de Santiago de Chile

by Javier Baladron

Dear colleagues, The Department of Computer Engineering at the Universidad de Santiago de Chile invites applications for an open faculty position. We seek candidates who meet the following requirements: - Undergraduate degree in Computer Engineering, Computer Science, or related fields. - Ph.D. in Informatics, Computer Science, Cybersecurity, Artificial Intelligence, or related areas. - Teaching experience in the relevant area of specialization. - Record of scientific publications indexed in WoS and Scopus, consistent with the candidate’s academic trajectory. - Participation in research projects. - For applicants whose native language is not Spanish, ability to teach in Spanish within the first year of employment. Priority will be given to candidates conducting research in Cybersecurity or Artificial Intelligence. Preferably, candidates should also demonstrate: - Active national and international scientific collaboration networks. - Experience supervising undergraduate and graduate theses. - Proficiency in English. In the event of equal merit between candidates, preference will be given to female applicants. Questions and informal applications may be sent directly to me at javier.baladron(a)usach.cl We would appreciate it if you could share this call with potentially interested candidates and relevant academic networks. Best regards, Javier Baladrón Department of Computer Engineering Universidad de Santiago de Chile

May 19, 2026

Open PhD Position at the Institute of Machine Learning and Neural Computation, TU Graz

by Ozan Özdenizci

Dear all, We have an open PhD position in our research group at the Institute of Machine Learning and Neural Computation, Graz University of Technology, Austria. We are offering a 3-year doctoral researcher position focused on reliable and resource-efficient deep learning techniques, with an emphasis on spike-based neural computation in modern learning systems. The doctoral research will address both fundamental and applied algorithmic questions in learning methods and neural architectures. More information on the position and how to apply: https://www.tugraz.at/institute/iml/institute/open-positions#c725665 Best regards, Ozan Özdenizci -- Dr. Ozan Özdenizci Assistant Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria

May 18, 2026

World wide VVTNS series (6th season): Towards a general model of human reward-based learning | Maria Eckstein Google Deepmind | Wednesday, May 20, 2026, at 11:00 am ET

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Maria Eckstein Google Deepmind on the topic of Towards a general model of human reward-based learning The lecture will be held on Zoom on May 20, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page >> > > *Abstract: *Traditional work in the study of human reward-based learning involves designing an experimental task---often inspired by Reinforcement Learning (RL) theory---and fits a small set of computational models---often inspired by RL algorithms---to that dataset. For example, researchers often model human behavior on bandit tasks using variants of Q-learning. While this approach has been highly productive, leading to landmark discoveries such as the dopamine reward prediction error hypothesis, it also has limitations. This talk focuses on the lack of generalizability of such models: Even if they closely fit behavior on the original task, models derived from the one-task-one-model paradigm usually predict behavior on other tasks quite poorly. I argue that this lack of generalizability is a fundamental problem for the cognitive sciences: we intuitively expect our models to be robust to superficial task differences, such as variations in the number of choice options, reward probabilities, or the exact kind of non-stationarity. I will propose potential solutions to this problem along two dimensions: the behavioral dataset and the computational model. Regarding computational models, I will introduce work in which we moved beyond the limitations of hand-crafted one-off models by employing flexible, data-driven methods. These methods allowed us to compare classes of models instead of individual model instances, allowing us to cover the space of possible models more exhaustively, and innovate cognitive mechanisms very efficiently. For the behavioral dataset, we move from using single learning tasks to a comprehensive task space that encompasses most existing paradigms in the literature, while closing the gaps between them in a near-continuous fashion. Our results suggest that more general models in conjunction with broader datasets can pave the road toward increasingly general models of human reward-based learning and decision making, and a persistent departure from many aspects of RL theory. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

May 17, 2026

Postdoc and PhD student position at EPFL about investigating human locomotion using neuromechanical simulations and humanoid robots

by Auke Ijspeert

*Postdoc and PhD student position for a project investigating and leveraging the neuromechanics of human locomotion using humanoid robots (Fall 2026)* The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one Postdoc and one PhD student position for a project aiming at investigating and leveraging the neuromechanics of human locomotion using humanoid robots. See https://www.epfl.ch/labs/biorob/openings/ The objectives of the project are (1) to investigate the principles of healthy and pathological human locomotion using numerical models (neuromechanical simulations), and (2) to use insights from biology to develop bio-inspired locomotion controllers to be used together with reinforcement learning on humanoid robots. *Background:* The versatility of human locomotion is still not well understood from a neuroscience point of view nor well replicated in humanoid robots. In particular, the interactions between higher centers (e.g. the motor cortex), the spinal cord and the musculoskeletal system are poorly understood. The goal of this project is to develop a computational architecture that (i) integrates both spinal cord circuits and supraspinal control; (ii) uses deep reinforcement learning for supraspinal planning and learning, (iii) allows testing hypotheses about human motor control and pathologies at a conceptual level, and (iv) can serve as basis for controlling and learning versatile motor skills in humanoid robots. *Requirements:* The goal would be to hire one researcher with a background in computational neuroscience (idealy with experience in numerical models of human locomotion) and one researcher with a background in robotics (ideally with expertise in the control of legged or humanoid robots). The ideal candidates should also have strong backgrounds in math and programming, and an interest in interdisciplinary research. *Deadline and starting date:* Applications will be considered starting from now on, and then continuously until the position is filled. A good starting date would be *September 2026.* *Application: *See https://www.epfl.ch/labs/biorob/openings/ -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

May 16, 2026

NeuroAI Research Scientist / Machine Learning Engineer — University of Rome Tor Vergata × Tether.io

by nicola toschi

Dear Comp Neuro community, We are looking for a highly motivated NeuroAI Research Scientist / Machine Learning Engineer to join a collaborative research effort between the University of Rome Tor Vergata and Tether.io<https://Tether.io> The position sits at the intersection of computational neuroscience, machine learning, foundation models, and brain-computer interfaces. The work will focus on developing open, reproducible methods for encoding and decoding brain activity from invasive and non-invasive neural recordings, including fMRI, EEG/MEG, ECoG, iEEG, and related data modalities. The successful candidate will contribute to projects involving neural decoding and encoding, multimodal representation learning, generative reconstruction of images, music, speech and other perceptual content, cross-subject and cross-modality alignment, and the study of how brain activity maps onto the latent spaces of modern vision, language, and audio foundation models. We are particularly interested in candidates with a background in machine learning, computational neuroscience, neuroimaging, signal processing, physics, computer science, engineering, or related quantitative fields. Strong Python and deep-learning experience, especially with PyTorch, JAX, or TensorFlow, is expected. Experience with real neural data and/or modern generative and representation-learning models is highly valued. The role offers the opportunity to contribute to high-impact publications, open-source tools, international collaborations, and ongoing research at the interface of AI, neuroscience, and neural interface technologies. Remote-friendly arrangements may be possible depending on the role and project needs. The LinkedIn announcement is available here: https://www.linkedin.com/feed/update/urn:li:activity:7461095365547741184/ To apply, please send a CV, a brief statement of research interests, and optionally 1–2 representative publications, projects, or GitHub links to: nicola.toschi(a)uniroma2.eu<mailto:nicola.toschi@uniroma2.eu> and matteo.ferrante(a)tether.io<mailto:matteo.ferrante@tether.io> Best regards, Nicola Toschi Prof. Nicola Toschi Scholar Profile<https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ&view_op=list_w…> | Lab Website<https://fismed.uniroma2.it/> | Bookable Time<https://calendar.app.google/vXmx4XiWRvkf23XQ7> | LinkedIn<https://www.linkedin.com/in/nicola-toschi-5680923/> Full Professor of Medical Physics Medical Physics Section - Department of Biomedicine and Prevention University of Rome "Tor Vergata" Via Montpellier 1 - 00133 Rome (IT) Email: toschi(a)med.uniroma2.it<mailto:toschi@med.uniroma2.it> Research Staff, Investigator A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH 149 13th street, 02129 Boston (MA), USA Email: nicola(a)nmr.mgh.harvard.edu<mailto:nicola@nmr.mgh.harvard.edu>

May 15, 2026

Call for contributed talks: CNS*2026 Information Theory Workshop

by Marilyn Gatica

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience <https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/> will be held once again as part of the 35th Annual Computational Neuroscience Meeting ( CNS*2026 <https://www.cnsorg.org/cns-2026>), in Halifax, Canada. The full CNS*2026 conference will take place from July 11–15, 2026, with workshops held on July 14–15, 2026. Our confirmed and tentatively confirmed *invited speakers *so far include: - Demian Battaglia, CNRS / University of Strasbourg, France - Marilyn Gatica, Northeastern University London, UK - Jaroslav Hlinka, Czech Academy of Sciences, Czech Republic - Joseph Lizier, The University of Sydney, Australia - Patricio Orio, Universidad de Valparaíso, Chile - Maria Pope, Indiana University, USA - Thomas Varley, University of Vermont, USA - ...more TBA! We would like to *call for contributions* to talks. If you are interested in contributing a talk, please send a title and abstract to Joseph T. Lizier (joseph.lizier(a)sydney.edu.au) and Marilyn Gatica ( marilyn.gatica(a)nulondon.ac.uk) Earlier submissions and submissions from speakers from underrepresented groups will be prioritised. We will review submissions weekly starting May 25, and the call will remain open until all available slots have been filled. Please pay attention to the registration for CNS*2026 deadlines and fees, as workshop registration at least is required for attendance, and see our website <https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/> <https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/>for more details. We hope you will join us there! *Organising Committee:* Joseph T. Lizier, Chair, The University of Sydney, Australia Marilyn Gatica, Co-Chair, Northeastern University London, UK Demian Battaglia, CNRS / University of Strasbourg, France

May 14, 2026

Master 2 computational neurosciences, Lyon (France)

by DI VOLO MATTEO

Dear colleagues, Applications for EU students are now open for the Master 2 in Computational Neuroscineces<https://masterneuro.univ-lyon1.fr/m2-cns/> at the University of Lyon (France). The CNS program in Lyon trains students in modern computational and analytical methods to study the brain: from the electrical activity of single neurons to neural networks, interacting brain regions, and animal behavior. Students learn the principles of brain function by applying statistics, signal processing, and computational modeling to real neuroscientific datasets, gaining extensive hands-on experience through practical Python-based work. The main objective of CNS is to equip students with the skills and critical perspective needed to design, conduct, and interpret analyses of electrophysiological and behavioral data from a mechanistic point of view. Applications are done through the e-candidat platform <https://ecandidat.univ-lyon1.fr/#!accueilView> Best regards, Matteo Di Volo ---- Matteo Di Volo Professor, University Claude Bernard Lyon1 Co-Director Master 2 Computational Neurosciences https://masterneuro.univ-lyon1.fr/m2-cns/ Stem Cell and Brain Research institute INSERM, NEF team: https://sbri.fr/teams/neurobiology-of-executive-functions/ Personal website: https://matteodivolo.wordpress.com/

May 13, 2026

NITMB Ideathon, August 10-12, 2026: Applications are open

by William L. Kath

The National Institute for Theory and Mathematics MathBio Ideathon will take place August 10–12, 2026 in Chicago! The goal of this workshop is to bring together researchers with interests at the interface of biology and mathematics to tackle unsolved problems through interdisciplinary collaboration. Participants will share their expertise via lightning talks and form vertically integrated teams (PIs and trainees) around the most promising ideas. The teams will tackle these problems and formulate actionable research plans. Teams will have the opportunity to continue their work to solve these problems at a later date through NITMB's Focused Research Award Program. Here is a link to more information: https://www.nitmb.org/nitmb-mathbio-ideathon A application form for the workshop is available on the website. Applications close Monday, June 8th. Participation is limited to approximately 40 people. We are looking for people who know of interesting unsolved problems at the interface between mathematics and biology (or who would like to learn about them) and who will be fully engaged and actively contribute throughout the workshop — starting with initial discussions and team formation to the development of collaborative research plans and beyond. This may be of particular interest to early-career researchers, including postdocs and graduate students, who are looking for new topics to add to their research portfolios. We will cover travel and accommodation for selected participants. We also provide meals while people are engaged at the NITMB (typically breakfast and lunch). We look forward to the possibility of having you join us in Chicago! Best regards, - Bill Kath

May 12, 2026

Workshop on Theory of Neuromorphic Computing, Liverpool UK, 9th June 2026

by john.sylvester＠liverpool.ac.uk

Dear All, We invite you to a workshop Theory of Neuromorphic Computing Date: 9 June 2026 with the first talk starting at 11am Location: School of Computer Science and Informatics, Ashton Building, University of Liverpool Website: https://neuromorphic-theory.github.io Cost: Free (but registration required, see webpage) Neuromorphic computing is a computing paradigm inspired by biological neural systems. It is based on spiking, event-driven architectures in which memory and computation are closely integrated. Neuromorphic chips have already shown several promising advantages over conventional von Neumann architectures, particularly in terms of energy efficiency. This workshop will explore the theoretical foundations of neuromorphic computing, with a focus on algorithms and computational complexity. Although the hardware has developed rapidly, the theory has not kept pace. Our aim is to create a forum for discussion on rigorous models of neuromorphic systems, allowing researchers to study their computational power and compare them with classical models of computation. These models must capture not only time and space, but also energy-related resources such as spikes and synaptic operations. Many thanks, John Sylvester & David Purser

May 12, 2026

World wide VVTNS series (6th season): Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities | Gabriel Ocker, Boston University | Wednesday, May 13, 2026, at 11:00 am ET

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Gabriel Ocker Boston University on the topic of Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities The lecture will be held on Zoom on May 13, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Networks of interconnected neurons display diverse patterns of activity. Relating these patterns to the structure of the network is a central goal of theoretical neuroscience. Classic neural field and rate models have been powerful tools for this purpose due to their analytical tractability. Here, we show that the recently-developed combinatorial threshold-linear network (CTLN) model is a mean-field theory for excitatory-inhibitory Hawkes networks, with clustered connectivity, in an inhibition-stabilized regime. This mapping allows us to leverage powerful analytical results for CTLN networks to predict diverse macroscopic dynamics of clustered Hawkes networks, including metastability between various macroscopic fixed points, limit cycles, and chaotic attractors. We will then examine an extension of this approach to models with nonlinear dendritic dynamics, focusing on dendritic calcium spikes.We uncover a marked point process mean-field theory for these networks and use this to examine how somatic vs dendritic-targeting connectivity shapes the mean-field equilibrium phase diagram. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

May 10, 2026

Human-AI Workshop at IJCAI 2026

by Guozhang Chen

Dear colleagues, I am pleased to announce that our proposal for the Human-AI Workshop at IJCAI 2026 has been accepted. Workshop website: https://hbai2026.github.io/ Date: One day between August 16–21, 2026 Place: Bremen, Germany Paper submission link: https://openreview.net/group?id=ijcai.org/IJCAI-ECAI/2026/Workshop/HBAI Submission deadline: May 15, 2026 Please share this information within your networks. Thank you for your support. Best regards, Guozhang Chen Assistant Professor School of Computer Science Peking University

May 7, 2026

Postdoctoral Position in Human Brain–Computer Interfaces

by João Barbosa

Dear all, The Neuromodulation Institute (Paris) invites applications for a Postdoctoral Researcher position (full-time, 2-year contract with the possibility of extension) to join a human brain–computer interface project led by Philippe Domenech <http://computationalbrainteam.com/en/people> (Neuromodulation Institute, Paris) in direct collaboration with João Barbosa <http://jbarbosa.org/> (Neuromodulation Institute, Paris) and Guillaume Bellec <http://guillaume.bellec.eu/> (Technical University of Vienna). The work will be carried out in the center of Paris and the newly created Neuromodulation Institute. The position is available immediately and will remain open until filled. About the Project This position is part of an interdisciplinary collaboration involving computational neuroscientists, clinicians, and engineers. The goal is to establish model-driven, multi-site stimulation experiments in human patients and move towards novel therapies for psychiatric disorders through the control of human brain dynamics via closed-loop stimulation. As an initial step toward these broader goals, the postdoctoral researcher will work with electrophysiological data collected from epilepsy patients implanted with ~124 intracranial LFP electrodes, enabling simultaneous recording and multi-site stimulation. We already collected several datasets (open-loop) and up to 4 subjects are collected per month through a national network of clinicians. The work carried out by the successful applicant will sit at the intersection of machine learning, computational neuroscience and data analyses of human intracranial electrophysiology. The medium-term ambition is to expand this work to additional patient populations, including individuals with treatment-resistant major depression and obsessive-compulsive disorder, and to incorporate recording techniques such as large-scale multi-unit activity and sub-second neuromodulation (e.g. dopamine, serotonin, noradrenaline, etc) detection using ML-augmented voltammetry. Key responsibilities include developing data-driven state-space models of neural dynamics for optimal control policies for stimulation as well as inference pipelines for predicting network responses of intracranial recordings. The position emphasizes computational modeling, theory, and algorithmic development, rather than hands-on experimental data collection. Candidate Profile We are seeking a highly motivated candidate with strong quantitative and computational skills, and demonstrated research experience in at least one of the following areas: machine learning, simulation-based inference, reinforcement learning, generative/diffusion models and dynamical systems. Required Skills and Experience - Strong scientific programming skills in Python, in particular proficiency in PyTorch, Jax or related - Demonstrated experience in machine learning - Excellent written and spoken English. - Direct experimental experience is not required. However, the successful candidate should be enthusiastic about interacting with clinicians, neurosurgeons, and patients during experimental planning and execution. Preferred but not required - Experience working with time series data, in particular intracranial recordings (LFP, ECoG, depth electrodes) in humans or other animals. We strongly encourage applications from individuals that are underrepresented in academia. What We Offer - Opportunity to contribute to multiple ongoing projects at the forefront of human intracranial research - A highly interdisciplinary research environment spanning computational neuroscience, machine learning and cognitive neuroscience - A collaborative lab culture with close mentorship from senior investigators. - Support for career development, including opportunities to co-supervise students, present at conferences and workshops - Paris has an increasingly tight network of systems and computational neuroscience and offers many possibilities for collaborations How to apply Please send a statement of your past work and future research interests (one page each), CV and at least one manuscript demonstrating required experience to palerma(a)gmail.com with the subject “Postdoctoral Position in Human Brain–Computer Interfaces”. Joao Barbosa

May 6, 2026

OPM-FLUX Toolkit 2026 - Register now!

by Evgeniya Anisimova

Dear all, We are delighted to announce that the OPM-FLUX toolkit will be held on the 13th-16th July 2026 at St. Catherine’s College at the University of Oxford! We encourage everyone who is interested in OPM-MEG data analysis to apply (ECRs and more senior researchers and clinicians included!). The OPM-FLUX toolkit course provides a comprehensive introduction to analysing OPM-MEG data using OPM-FLUX, an advanced analysis pipeline for human electrophysiological data. Originally designed for SQUID-based MEG, the FLUX pipeline has been adapted for OPM-MEG. While OPM-MEG offers exciting opportunities in cognitive and clinical neuroscience, analysing its data can be challenging due to technical complexities and a lack of standardised methods. To meet the increasing demand for accessible training in this area, we have developed the FLUX toolkit, built on MNE-Python, a leading MEG analysis toolbox. Participants will be taught the theoretical foundations of OPM sensors and human electrophysiology and gain practical experience with OPM FLUX. In the mornings we will have lectures on the basics of data analysis as well as examples on novel cognitive neuroscience research-based MEG or OPM-MEG. In the afternoon, we will have hands-on data analysis workshops applying the OPM-FLUX pipeline on a data set collected from the local OPM systems. Will cover the analysis of FieldLine as well Cerca/QuSpin data. The analysis sections will include the BIDS format, preprocessing, event-related fields, spectral analysis, source modelling, and multivariate pattern analysis. We will not provide hands-on training on the actual data acquisition, but we will outline the general steps required. For details and registration please see https://www.neuosc.com/fluxtoolkit2026 or contact me at jenny.anisimova(a)psych.ox.ac.uk<mailto:jenny.anisimova@psych.ox.ac.uk>. The registration will be open until 9 AM (BST) on the 15th of May 2026. We look forward to receiving your application! All the best, The Neuronal Oscillations Team www.neuosc.com<http://www.neuosc.com/>

May 5, 2026

Re: Call for applications: School on Computational approaches in systems neurophysiology (Rome, Italy – June 16-18, 2026)

by Andrea d'Avella

The application deadline has been extended to *May 12, 2026.* Best regards, Andrea d'Avella Il 30/03/2026 22:11, Andrea d'Avella ha scritto: > > Applications will open on April 8 for the XXVIII *School of Physiology > and Biophysics > <https://www.fisiologiaitaliana.org/scuola_fisiologia.php>* on > *Computational approaches in systems neurophysiology* organized by the > *Italian Physiological Society *(SIF), which will be held from *June > 16 to June 18, 2025*, in *Rome, Italy*. > > Here you can find the announcement > <https://www.fisiologiaitaliana.org/_docs/260330_SIF_SchoolofPhysiologyandBi…> and > th program > <https://www.fisiologiaitaliana.org/_docs/260330_SIF_SchoolofPhysiologyandBi…>. > > Enquires: sif.sfb.2026(a)gmail.com > > Application deadline: *May 4, 2026* > > The school is organized by a team of neurophysiologists from the > University of Rome Tor Vergata, coordinated by Francesco Lacquaniti. > The program includes an opening lecture introducing the rationale for > computational approaches in systems neurophysiology, followed by a > series of eight thematic lectures covering topics such as > computational analysis of human locomotion, muscular and kinematic > synergies, vestibular system computation, eye-movement analysis, > structural and functional MRI, psychophysical modeling, and > quantitative neuromodulation. These lectures are complemented by four > keynote lectures addressing neural coding of joint action, multiscale > brain modeling and digital twins, machine-learning approaches to > spinal pattern generators, and multimodal quantitative neurophysiology > applied to neurostimulation. > > Most lectures are accompanied by hands-on tutorials, during which > participants will analyze real experimental datasets using MATLAB and > R, with sample datasets and analysis scripts provided. Throughout the > course, tutors will be available to support participants, encourage > discussion, and facilitate scientific interaction with the lecturers. > > Best regards, > > Andrea d’Avella and the Organizing Committee > > > -- > Andrea d'Avella, Ph.D. > Professor of Physiology > Department of Biology > University of Rome Tor Vergata, Rome, Italy > Team leader > Laboratory of Neuromotor Physiology > IRCCS Fondazione Santa Lucia, Rome, Italy -- Andrea d'Avella, Ph.D. Professor of Physiology Department of Biology University of Rome Tor Vergata, Rome, Italy Team leader Laboratory of Neuromotor Physiology IRCCS Fondazione Santa Lucia, Rome, Italy -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> Le informazioni contenute in questo messaggio e negli eventuali allegati sono riservate e confidenziali. Il loro utilizzo è consentito esclusivamente al destinatario del messaggio, per le finalità indicate nel messaggio stesso. Qualora Lei non fosse la persona a cui il presente messaggio destinato, La invitiamo ad eliminarlo dal Suo sistema ed a distruggere le varie copie o stampe, dandocene gentilmente comunicazione. Ogni utilizzo improprio e'contrario ai principi del D.Lgs. 196/2003 e del Regolamento UE 2016/679. The information contained in this message as well as the attached file(s) is confidential/privileged and is only intended for the person to whom it is addressed. If the reader of this message is not the intended recipient or the employee or agent responsible for delivering the message to the intended recipient, or you have received this communication in error, please be aware that any dissemination, distribution or duplication is strictly prohibited, and can be illegal. Please notify us immediately and delete all copies from your mailbox and other archives. *Rispetta l'ambiente: se non ti è necessario, non stampare questo messaggio - Please consider the environment before printing this email.*

May 5, 2026

PhD position available at Lyon Neuroscience Research Centre, Lyon, France

by giulio.bondanelli＠univ-lyon1.fr

A PhD position is available at the Lyon Neuroscience Research Centre (CRNL) in Lyon (France) in the group of Giulio Bondanelli (https://sites.google.com/view/giuliobondanelli) The group develops dynamical system and statistical models to constrain circuit models of brain function from multimodal neural data at the cellular level (recordings, connectome data, intervention), with the goal of understanding how neural computations arise from collective network interactions. We are looking for candidates with a strong quantitative background and solid programming skills, as well as an interest in exploring neuroscientific questions. Experience with the analysis of neural data is a plus. The successful applicant will be based at the Lyon Neuroscience Research Centre (https://www.crnl.fr/en?language=en; Université Claude Bernard Lyon 1), within an international and highly dynamic environment situated on the Campus Le Vinatier in Lyon. The centre brings together groups with diverse experimental and computational approaches spanning multiple scales of neuroscience. The position will start between September and December 2026, although the precise starting date is flexible. The contract will have a duration of 3 years. Candidates should send a CV and a brief statement of interest (up to 1 page) to giulio.bondanelli(a)univ-lyon1.fr *before June 15th, 2026*. -- Giulio Bondanelli Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1 giulio.bondanelli(a)univ-lyon1.fr

May 4, 2026

World wide VVTNS series (6th season): Weak, weird, coordinated: functional transient oscillations | Wednesday, May 6, 2026, at 11:00 am ET - Demian Battaglia, CNRS, Strasbourg, France

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Demian Battaglia CNRS, Strasbourg on the topic of Weak, weird, coordinated: functional transient oscillations without a metronome The lecture will be held on zoom on May 6, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Neural oscillations are often proposed to support brain computation by routing information, organizing cell assemblies, or shaping coding dynamics. Yet these ideas usually assume rhythms that are strong, sustained, and regular, whereas in vivo oscillations are often weak, transient, noisy, and variable in frequency and phase. In this talk, I will argue that such “no-metronome” oscillations are not just noisy fluctuations, but coordinated complex dynamics with functional consequences. Combining analyses of neural activity recordings during actual behavior (mice and non-human-primate LFPs and human EEG) with computational modelling, I will discuss evidence that transient oscillatory events can carry task-relevant information and support flexible communication through spatiotemporally structured relationships across populations, timescales, and frequencies. Together, these results suggest that oscillatory weakness and weirdness are not just imperfections, noise to average-out, but part of the functional repertoire of neural computation. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), 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 ᐧ

May 3, 2026

Applications Open for Distinguished Researcher leading to permanent position program ATRAE 2026

by Bernabé Linares Barranco

The Spanish Research Agency (AEI) has announced the call ATRAE 2026: https://www.aei.gob.es/en/announcements/announcements-finder/grants-encoura… to hire established researchers of recognized international prestige for a 4-year period leading to a permanent position. Total funding for the period is 1 milllion euros (1.2 million for researchers linked to a USA research institution for at least 5 years since 2020), including a gross annual salary between 80-150k€. If you are interested in applying and collaborate with our Neuromorphic Group at IMSE (http://www2.imse-cnm.csic.es/neuromorphs) we are happy to help you in preparing your application. Please send your CV to the email in my signature to evaluate if you have good chances. Best regards --

April 30, 2026

Seminar Series: Thinking About Thinking (May 7th)

by Ruairidh Battleday

We are pleased to announce the inaugural session of the Thinking About Thinking Fellowship Seminar Series, bringing together researchers working at the forefront of computational research into intelligence across AI, neuroscience, and cognitive science. Seminar title: Automated Scientific Discovery of Mind and Behavior Date: 7 May 2026 Time: 6pm BST Link: https://luma.com/ej1jk7bo For our first session, Dr Sebastian Musslick will present a framework for automated scientific discovery in cognitive science, exploring how AI systems can support the generation and testing of theories of mind and behaviour. We’ll do these every two weeks! Please come along (link in individual talk below). —----------------------------------------------------------------------------------------------------- Seminar title: Automated Scientific Discovery of Mind and Behavior Speaker: Dr Sebastian Musslick Date: Thursday 7 May 2026 Time: 6pm BST Link: https://luma.com/ej1jk7bo Abstract: Artificial intelligence is transforming scientific discovery across disciplines, from predicting protein structures in biology to identifying novel quantum states in physics. In the natural sciences, automated discovery systems now enable researchers to navigate vast experimental and hypothesis spaces, moving beyond the limits of human intuition. In this talk, Sebastian will explore how these methods can be adapted to the study of mind and behavior, introducing automated scientific discovery as a paradigm for cognitive science. He will present AutoRA, an open-source framework for automating key stages of empirical research, including experimental design, data collection and model inference. Through case studies in psychophysics, learning, decision-making and cognitive control, Sebastian will show how closed-loop discovery systems can support more integrative and scalable approaches to understanding human cognition. The session will also address the unique challenges that automated scientific discovery faces in cognitive science, including experimental fragmentation and the need for multi-level explanations, before outlining future directions for the field. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking <https://that.build>

April 30, 2026

Extended CFP: Foundations of Computation Symposium, at AISB-2026, University of Sussex, UK, 1 to 2 July 2026

by Simon Bowes

As part of the AISB conference to be held at the University of Sussex, UK, 1 to 2 July 2026 The conference is organised by The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) http://www.aisb.org.uk/ OVERVIEW: The symposium will be a one-day session of talks, Q&A’s, and panel discussions, structured around two themes: foundations, and applications. Each session will open with a keynote speaker (45 min presentation +15 min Q&A), include up to four further talks (15-30 min slots), and will wrap up with a panel discussion and audience questions. Confirmed speakers: * Prof. Gualtiero Piccinini * Dr. Fernando Rosas * Dr. Kate Nave * Dr. Nathaniel Virgo TOPICS OF INTEREST 1- Foundations: Foundational debates concerning the nature of computational processes, the status of formal and physical models, and the relationship between abstraction and implementation - have been reopened by both theoretical developments and increasingly powerful real-world systems. Against this backdrop, the symposium’s foundations strand invites critical reflection on the conceptual terrain of computation, motivating the following guiding questions: • What makes a process computational? • Are classic distinctions between syntax and semantics, or implementational, algorithmic, and computational levels of description sound? • Is computation subjective or objective, abstract or concrete, mathematical or physical? • What are the limits of computation? Is undecidability restricted to a mathematical realm? 2- Applications: The applications strand of the symposium will re-examine the role of computational concepts and tools across various research contexts relating to intelligence and adaptive behaviour. To further discussion of this topic, we seek contributors to address the below questions: • What are the distinctive strengths and limitations of computational explanations —generally, and in specific fields? • Is cognition a computational process? If so, what makes certain computational processes cognitive, and others not? • What is gained, and is anything lost, by treating cognition, life, and other processes computationally? • What is the explanatory role of representations and algorithmic models in the cognitive sciences? • What are the prospects for and obstacles to the development of a “computational phenomenology”? SUBMISSION AND PUBLICATION DETAILS We invite abstracts of up to 500 words on any of the above and related topics. Each paper will receive at least two reviews. Selected papers will be published in the general proceedings of the AISB Conference, with the proviso that at least ONE author attends the symposium, in person, in order to present the paper and participate in general symposium activities. Accepted talks will be allotted 20, 30, 45-minute slots, plus a sit in the discussion panel. Submission deadline: 15/05/2026 Decision will be made and communicated to all contributors by the end of May. SYMPOSIUM ORGANISERS: Adam Rostowski (a.rostowski(a)sussex.ac.uk<mailto:a.rostowski@sussex.ac.uk>), Department of Informatics, University of Sussex Ben White (b.white(a)sussex.ac.uk<mailto:B.White@sussex.ac.uk>), Department of Informatics, University of Sussex. Fernando Rodriguez-Vergara (f.rodriguez-vergara(a)sussex.ac.uk<mailto:f.rodriguez-vergara@sussex.ac.uk>), Sussex Neuroscience, University of Sussex SYMPOSIUM WEBSITE: https://sites.google.com/view/foundations-of-computation

April 28, 2026

Fully funded PhD in Network Science — Higher-Order Coordination (Northeastern University London, Sep 2026)

by Giovanni Petri

Hello all, We are recruiting a fully funded PhD student to join NPLab at Northeastern University London, under the ERC Consolidator Grant RUNES. Project: Higher-Order Coordination and Emergent Communication Across Human, AI and Animal Systems. The project investigates how coordination and communication emerge in groups whose interaction structure goes beyond pairwise contact — developing new higher-order network theory and testing it across human social systems, animal collectives, and AI ensembles. *Funding:* Full UKRI-rate stipend + tuition for 3.5 years. Start date September 2026. *Candidate profile:* MSc in physics, mathematics, computer science, or a quantitative field. Background in network science, statistical mechanics, multi-agent systems, or computational social science. Strong programming skills (Python, Julia, or equivalent). *Application*: via jobs.ac.uk — search DRF217, or follow this link: https://www.jobs.ac.uk/job/DRF217/ Informal enquiries welcome at giovanni.petri(a)nulondon.ac.uk. Please share with anyone who might be interested. Best, G. -- ----------------------------------------------------------------------------------- *Higher-Order Systems* Available through all good bookshops, or direct from SpringerLink <https://link.springer.com/book/10.1007/978-3-030-91374-8> ----------------------------------------------------------------------------------- Giovanni Petri, PhD Professor, Network Science Institute Northeastern University London Department of Physics, College of Sciences Northeastern University, Boston MA https://nplresearch.github.io/ - lordgrilo.github.io ------ Network Science Lead, Project CETI <https://www.projectceti.org/>, Director, ERC Consolidator Grant RUNES <https://nplresearch.github.io/#/projects/runes> ------

April 26, 2026