This year at #CCN25 we showed the importance of OOD evaluation to adjudicate between brain models. Our results demonstrate these trivial but key facts : - high encoding accuracy ≠ functional convergence - human brain ≠ NES console ≠ 4-layers CNN - videogames are cool w/ @lune-bellec.bsky.social 🙌

In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:

🚨 New preprint alert! Excited to share our latest work on alpha/beta activity, eye movements, and memory. Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory. 👇 Highlights (1/7):

🧠 Paper out! We investigated how hippocampal and cortical ripples support memory during movie watching. We found that: 🎬 Hippocampal ripples mark event boundaries 🧩 Cortical ripples predict later recall Ripples may help transform real-life experiences into lasting memories! rdcu.be/eui9l

🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs? We explore these questions using fMRI and large-scale representational alignment analyses. 🔗 arxiv.org/abs/2507.13941 Thread👇 (1/8)

Deep learning models and brains share fascinating parallels in their ability to process and instantly integrate new knowledge. Join us this year at ICON 2025 to discuss how sudden learning emerges across artificial and biological systems! 🧠🤖

Very happy to announce that the latest work "Anticipating multisensory environments: Evidence for a supra-modal predictive system" from @alepebel.bsky.social @fuentemilla.bsky.social and myself has been published in Cognition! www.sciencedirect.com/science/arti...