New preprint out, first timid experiments on foundation models for #neuroimaging and Ornstein-Uhlenbeck processes (checking inhibitory/excitatory causality): Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model arxiv.org/abs/2509.12497 #LLM

⚠️JOB ANNOUNCEMENT⚠️ Postdoctoral Position in Computational Cognitive Neuroscience (Marseille) in collaboration with @alainbarrat.bsky.social. Join us to study higher-order brain interactions in causal learning using information theory and network science. More info www.fens.org/careers/job-...

Our findings pave the way for biologically-inspired vision architectures that move beyond purely feedforward or locally recurrent designs by incorporating explicit top-down pathways alongside stochastic regularization To read the full story, check out the preprint 👇 arxiv.org/abs/2508.07115

Preprint: Equations/generalizations for TC, DTC, RSI, O-information, and TSE-complexity for multivar real/cmplx data. How “connections” contribute to system inf measures. Helpful comments and reports on errors are appreciated. arXiv: 2025-07-11 doi.org/10.48550/arXiv.2507.08773

Finally out on Nat Comms 🚀 We show that an intrinsic motivational learning signal (information gain) is encoded through synergistic and higher-order functional brain interactions and is broadcast to prefrontal reward circuits.

When your statistical model "fits the data well" ...

Researchers in France are working on creating a french network of researchers to organize interaction, communication and training in #Computational_Neuroscience. If you are a CompNeuro working in France, consider joining, and registering to our mailing list: listes.services.cnrs.fr/wws/subscrib...

Congratulations to the whole team. Impressive work! www.nature.com/articles/s41...

New Call for International Researchers interested in working in France. From postdoc to senior PIs. carrieres.cnrs.fr/actualites/i...

Preprint time: “Shannon invariants: A scalable approach to information decomposition” arxiv.org/abs/2504.15779 Studying information in complex systems is challenging due to difficulties in defining multivariate metrics and ensuring their scalability. This framework addressed both challenges!

Functional organization derived from network-driven processes offers clear advantages wrt traditional methods when studying human brain networks, outperforming SoTA communication models in explaining functional communities from structural data. #Neuroscience 🧪🧠 www.pnas.org/doi/10.1073/...

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems arxiv.org/abs/2504.01990 Foundation Models на новом уровне github.com/FoundationAg...

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems (264 pages) This survey provides a comprehensive overview, framing intelligent agents within a modular, brain-inspired architecture

Reading this hypothesis the trade deficit was figured out by AI made me wonder if it's the same reason why uninhabited islands (Heard and McDonald) wound up in the tariffs? Were they hallucinated? Nope! (h/t @dompreston.com) www.theverge.com/news/642620/...

New Deep Learning Framework Reveals Hidden Structure in Neural Activity 🧠 #neuro #science www.mcb.harvard.edu/department/n... @naoshigeuchida.bsky.social @saramatias.bsky.social @neurovenki.bsky.social @btolooshams.bsky.social @kempnerinstitute.bsky.social @harvardbrainsci.bsky.social

Very cool paper on how interactions of different orders contribute to patterns of brain activity. I do have some questions about whether losing the distinction between redundancy and synergy might be confounding the results at all though. www.cell.com/cell-reports...

Geometric influences on the regional organization of the mammalian brain (!) Great new work lead by James Pang, @alexfornito.bsky.social & star collaborators! www.biorxiv.org/content/10.1...

Great news, everyone! Cross Roads is BACK for episode #50! 😱🎉 Join us on Jan 21 @ 2pm JST to hear exciting ideas from Dr. Fernando Rosas about "The Many Faces of Emergence." We'll see you next week on YouTube Live! www.youtube.com/live/bgB8e3G...

🚨 THOI: Revolutionizing Higher-Order Interaction Analysis 🚨 Complex systems are more than the sum of their parts! Our latest study introduces THOI a groundbreaking Python library designed to unveil emergent collective behaviors. Discover more: arxiv.org/pdf/2501.03381 github.com/Laouen/THOI

I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online: www.youtube.com/@MAINConfere... #neuroai #neuroskyence

Processes and measurements: a framework for understanding neural oscillations in field potentials 👇 www.sciencedirect.com/science/arti... By @rdgao.bsky.social and stellar co-authors

🔵 New Paper 🔵 Happy to announce that our paper linking predictive learning and representational geometry in the human 🧠 is out today in #NatureComms! with @drjuliamoser.bsky.social, Hubert Preissl and Markus Siegel 📜👉 nature.com/articles/s41467-024-54032-4

Episode #23 in #TheoreticalNeurosciencePodcast: On human whole-brain models - with Viktor Jirsa theoreticalneuroscience.no/thn23 The guest builds personalized whole-brain network models, partially to aid clinicians in treating brain ailments. @ebrains.bsky.social

Human brain dynamics are shaped by rare long-range connections over and above cortical geometry. Some new results to inform this debate. www.pnas.org/doi/10.1073/...

Happy new year to all! Here is a great paper to start off our scientific adventures for 2025! arxiv.org/abs/2501.00536

🚀 Introducing FastDMF: A groundbreaking tool for whole-brain modeling! 🧠 🔍 Efficient, accessible implementation of the Dynamic Mean Field (DMF) model. ⚡Scaling up to 1,000 brain regions. Unlocks biophysically grounded insights into brain dynamics. Fit FC and FCD ! direct.mit.edu/netn/article...

1/3 Just published @NatRevEarthEnv https://tinyurl.com/3zb8cu7s. A guide to #causalinference for time series: Phrase your problem as a causal Question, transparently state Assumptions, and apply the right method on your Data with the QAD-template based on @yudapearl's causal hierarchy

📢Jianfeng Feng and colleagues present the Digital Brain, a platform capable of simulating spiking neuronal networks with up to 86 billion neurons and 47.8 trillion synapses. www.nature.com/articles/s43... #neuroskyence #compneuro 🔓https://rdcu.be/d4byX

Joint the Comp Neuro conversation go.bsky.app/K8hiHqe

HOI: A Python toolbox for high-performance estimation of Higher-Order Interdependencies from multivariate data 🚀 Here is the link to the paper 🌐 Documentation with theoretical background about the metrics and some useful examples here brainets.github.io/hoi/ Have fun🛝 And give us feedback