🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Excited to share that DreamerV3 has been published in Nature! Dreamer solves control tasks by imagining the future outcomes of its actions inside of a continuously learned world model 🌏 It's the first agent to find diamonds in Minecraft from scratch without human data! 💎 👇

infomeasure: A Comprehensive Python Package for Information Theory Measures and Estimators arxiv.org/abs/2505.14696

The #EBRAINSSummit2025 Programme Committee, in collaboration with INCF, is pleased to announce that the Call for Abstracts is now open! Researchers working in open neuroscience are invited to submit high-quality abstracts for the opportunity to present their work at the

Our active inference perspective on cognitive control is out! With Thomas Parr, Alessia Tessari, Karl Friston News and Giovanni Pezzulo. Check it out: sciencedirect.com/science/articl…

#JNeurosci: Findings from T.Taguchi Jun Kitazono Shuntaro Sasai (笹井俊太朗) and Masafumi Oizumi offer novel insights into how network cores with strong bidirectional interactions contribute to the mechanisms underlying conscious perception and cognitive functions. vist.ly/3n5nakw

Just two days left to apply for the EITN EBRAINS Fall School in Computational Neuroscience! Are you a Master's or PhD student or postdoc interested in advancing your knowledge in theoretical and computational neuroscience? Apply for this 10-day course in Marseille, France from

📢 New preprint alert! With Carlos Coronel Rubén Herzog Amunátegui Matteo Neri We propose a computational framework for diversity-sensitive brain health combining: • Brain clocks • High-order interactions • 🧠 Whole-brain modeling Curious to hear your thoughts! 👇 authorea.com/users/825533/a…

🧠✨ The #ExploreFestival is back in #Marseille, June 10–15! 🔍 Meet researchers in parks, bars & boats – incl. ILCB members Isabelle Dautriche, Bruno Torresani, Benjamin Morillon, Clément François & more! 📍 Free, fun & science-packed 🔗 explore.univ-amu.fr #ScienceForAll

Chapter: "Dynamic Causal Modeling of Brain Activity" Coauthors: Frederik Van de Steen, Peter Zeidman, Dimitris A. Pinotsis, Guy Nagels, Daniele Marinazzo link.springer.com/protocol/10.10…

Adaptive Reinforcement Learning is causally supported by Anterior Cingulate Cortex and Striatum biorxiv.org/content/10.110… Recently in Neuron cell.com/neuron/abstrac…

Nature Multi-timescale reinforcement learning in the brain nature.com/articles/s4158…

Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1038/s41592… What is the best FC metric? led by Zhen-Qi Liu @[email protected] in Nature Methods ⤵️

Preprint time: “A scalable estimator of high-order information in complex dynamical systems” arxiv.org/abs/2506.18498 A principled and scalable approach to measure high-order effects in time series data, generalising BROJA for multiple-input multiple-output settings!

New paper with Eunice Yiu both a theoretical account of how empowerment in RL could lead to causal learning and some lovely experiments showing that children do just that.

Out today in nature: we show that individual neurons have diverse tuning to a decision variable computed by the entire population, revealing a unifying geometric principle for the encoding of sensory and dynamic cognitive variables. nature.com/articles/s4158…

New preprint on brain fingerprinting based on information decomposition and topological analysis of fMRI data. Dream team 🚀 simone poetto Giovanni Petri Demian Battaglia Giovanni Rabuffo Andrea Santoro and more biorxiv.org/content/10.110…

🧠 Want to understand how different higher-order methods compare in brain connectivity analysis? Check out our new preprint — a fantastic collab with past & present NPLab members: 🔗 biorxiv.org/content/10.110…

🚨 Two new papers from us NPLab offer a deep dive into the topological and higher-order structure of brain function. Together, they chart a unified view of how the brain encodes identity and computation beyond pairwise interactions.

Predicting how molecular changes affect the brain’s overall activity is a major challenge in neuroscience. Scientists at Paris Saclay University have now introduced a new multiscale modeling approach that can simulate how microscopic changes are translated across multiple levels

Looking deeper into the algorithms underlying human planning cell.com/trends/cogniti…