- Comp-neuro - lists.cnsorg.org

Human Neocortical Neurosolver (HNN) Virtual Workshop
by Gao, Joyce May 27, 2026

May 27, 2026

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

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Submit to COMPLEX NETWORKS 2026 (📍Granada, Spain) – 🎤 Keynotes Announced & 📚 2025 Proceedings Free!
by Fabian Braesemann May 27, 2026

May 27, 2026

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>

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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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Cambridge Open Lab Open Science in Practice Course, Aug 3-7 2026
by Mateusz Kostecki May 25, 2026

May 25, 2026

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/

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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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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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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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