- Comp-neuro - lists.cnsorg.org

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AIS 2026, authors must select one of the following categories: • Long Paper / Late-Breaking Paper Original, novel, and unpublished work (12–15 pages in Springer LNCS format).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