I have also written for you a short semi-technical piece on #ComplexityThoughts about this: open.substack.com/pub/manlius/... Enjoy!

Higher-order links and broken standards

The balance in the Force has been restored

open.substack.com

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

Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models

Biological systems leverage top-down feedback for visual processing, yet most artificial vision models succeed in image classification using purely feedforward or recurrent architectures, calling into...

arxiv.org

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...

Adversarial testing of global neuronal workspace and integrated information theories of consciousness - Nature

Multimodal results (iEEG, fMRI and MEG) of predictions from integrated information theory and global neuronal workspace theory align with some predictions of both theories on visual consciou...

nature.com

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!

Shannon invariants: A scalable approach to information decomposition

Distributed systems, such as biological and artificial neural networks, process information via complex interactions engaging multiple subsystems, resulting in high-order patterns with distinct proper...

arxiv.org

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/...

Trump’s new tariff math looks a lot like ChatGPT’s

ChatGPT may be the White House’s latest economic advisor.

theverge.com

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

New Deep Learning Framework Reveals Hidden Structure in Neural Activity - Harvard University - Department of Molecular & Cellular Biology

Understanding how neurons encode information is one of the most pressing challenges in neuroscience. A new study from a multidisciplinary team including MCB researchers and those from the […]

mcb.harvard.edu

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...

Non-equilibrium whole-brain dynamics arise from pairwise interactions

The human brain operates far from thermodynamic equilibrium, with complex interactions between its neural elements driving non-equilibrium dynamics. Geli et al. reveal that pairwise interactions betwe...

cell.com

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

MAIN Conference

Montreal AI and Neuroscience (MAIN) is an international conference organized by the UNIQUE Centre in collaboration with the Centre de Recherches Mathématiques (CRM) at the University of Montreal since...

youtube.com

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

Predictive learning shapes the representational geometry of the human brain - Nature Communications

This study shows that the human brain aligns its neural representations to the statistical structure of sensory inputs, and that the magnitude of this representational shift correlates with the synerg...

nature.com

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

Phase behavior of Cacio and Pepe sauce

"Pasta alla Cacio e pepe" is a traditional Italian dish made with pasta, pecorino cheese, and pepper. Despite its simple ingredient list, achieving the perfect texture and creaminess of the sauce can ...

arxiv.org

🚀 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...

Neural mass modeling for the masses: Democratizing access to whole-brain biophysical modeling with FastDMF

Abstract. Different whole-brain computational models have been recently developed to investigate hypotheses related to brain mechanisms. Among these, the Dynamic Mean Field (DMF) model is particularly...

direct.mit.edu

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

Simulation and assimilation of the digital human brain - Nature Computational Science

The Digital Brain platform is capable of simulating spiking neuronal networks at the neuronal scale of the human brain. The platform is used to reproduce blood-oxygen-level-dependent signals in both t...

nature.com