- Comp-neuro - lists.cnsorg.org

Call for Applications: MSc Health Data Science at the University of Plymouth
by Vesna Vuksanovic May 27, 2026

May 27, 2026

Dear All * 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 Machine Learning, Health Data Modelling, Visualisation and Linkage. 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: 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 Director, MSc Health Data Science Senior Lecturer Health Data Science _______________________________________________________________________________________________________________________________________________ Swansea University Medical School Data Science Building Swansea SA2 8PP UK

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2026 NEURON summer course registration deadline soon
by McDougal, Robert May 26, 2026

May 26, 2026

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

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What are the functions of primary visual cortex (V1)?
by Li Zhaoping May 26, 2026

May 26, 2026

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

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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 May 24, 2026

May 24, 2026

[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

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L May 22, 2026

May 22, 2026

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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9th Summer School in Computational Biology — Coimbra, Sept 1–12, 2026
by Renato Duarte May 22, 2026

May 22, 2026

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)

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On behalf of Davide Carbone: Workshop 'A Scientist's Guide to AI', November 2-5, Paris
by Reinoud Maex May 22, 2026

May 22, 2026

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!

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Postdoctoral Associate in Computational Neuroscience at UWF
by Shusen Pu May 21, 2026

May 21, 2026

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/>

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FSL Neuroimaging Course 2026 - Registration
by Rezvan Farahibozorg May 21, 2026

May 21, 2026

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

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Two open PhD positions at the Max Planck Institute for Biological Cybernetics
by Roxana Zeraati May 20, 2026

May 20, 2026

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

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