I you can't beat them, join them. I will now be using emdashes in all my correspondence.
🌙 Lune Bellec
@lune-bellec.bsky.social
🏳️🌈 🏳️⚧️ 🌈♾️ Prof in psychology at Université de Montréal (she/her). Founder of the https://cneuromod.ca project: breeding 🤖 to mimic individual human 🧠. Delegate for digital health at the Montreal Geriatrics Institute https://criugm.qc.ca/
Super excited to share a new preprint! We asked a simple-but-big question: What changes in the brain when someone becomes an expert? Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask: 1️⃣ WHAT information is encoded? 2️⃣ HOW is it structured? 3️⃣ WHERE is it expressed? 1/n
OHBM Hackathon 2026 | June 11–13 | Bordeaux Come spend three days coding and learning! The OHBM Hackathon takes place right before the OHBM Meeting at Campus Victoire, University of Bordeaux, and it's a great chance to work on projects, pick up new skills, and meet researchers.
Jeee 🐦⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...
Reason to Play - Behavioral and Brain Alignment
32 fMRI-scanned humans and 8 frontier open weight LLMs play ARC-AGI like games with no rules given. The reasoning models match the human learning trajectories and their hidden states predict human bra...
botcs.github.io
I've wanted to develop brain encoding models for videogames for a while now, but the RL methods so far are just super brittle and don't work nearly as well as what exists for vision-audio-language. That's why I am very excited about this new work arxiv.org/abs/2605.00347 Can't wait to try it.
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
Given the rapidly growing capabilities of vision-language models (VLMs), extending them to interactive decision-making tasks such as video games has emerged as a promising frontier. However, existing ...
arxiv.org
🧠 the Digital Brain Project is now live: $5M total · up to $500k per selected team Let's open-source the modeling of the human brain brain activity! ➡️Apply on: digitalbrainproject.org
Attending the Montreal AI and Neuroscience (MAIN) Conference this week? #MontAIN2025 We have put together some exciting educational workshops on cognitive benchmarking large models, RL and video games and dynamical systems! More info and registration here: main-educational.github.io/program/
Program - MAIN educational 2025
Website of the educational workshop organized during the Montreal Artificial Intelligence and Neuroscience Conference 2025
main-educational.github.io
Interested in getting hands on with methods at the intersection of AI and neuroscience? Register to the Educational Workshop of the Montreal AI and Neuroscience (MAIN) Conference 2025! main-educational.github.io
MAIN educational 2025
Website of the educational workshop organized during the Montreal Artificial Intelligence and Neuroscience Conference 2025
main-educational.github.io
I've created a @gatsbyucl.bsky.social starter pack! Let me know if you’d like to be included, or just jump in to see what we're talking about. Either way, a retweet would be greatly appreciated! 🚀 go.bsky.app/4g6Ro4U go.bsky.app/AErHDon
Humans and animals can rapidly learn in new environments. What computations support this? We study the mechanisms of in-context reinforcement learning in transformers, and propose how episodic memory can support rapid learning. Work w/ @kanakarajanphd.bsky.social : arxiv.org/abs/2506.19686
From memories to maps: Mechanisms of in context reinforcement learning in transformers
Humans and animals show remarkable learning efficiency, adapting to new environments with minimal experience. This capability is not well captured by standard reinforcement learning algorithms that re...
arxiv.org
CNeuroMod is now on substack, and our first post highlights a new study showing that a tiny 2M-parameter audio model can be meaningfully fine-tuned on an individual brain with benefits for downstream AI tasks. open.substack.com/pub/cneuromo...
When an audio AI Model Play 🧠 Dress-Up
This really is about fine-tuning an audio artificial network to align representations with human brain data, and seeing what happened next
open.substack.com
a gross parliamentary overreach — article by @picardonhealth.bsky.social in the globe and mail; #academicsky #neuroskyence #psychscisky www.theglobeandmail.com/gift/91587b9...
How much are MPs entitled to know about research grants? Not as much as they think
A parliamentary committee is asking for academics’ private information on a strange anti-DEI crusade
theglobeandmail.com
The 2nd CogBases Workshop is this 4 & 5 Nov at Institut Pasteur! We'll discuss the latest in open science methods for analysing brain imaging data. Registration free, but mandatory neuroanatomy.github.io/cogbases-2025/ @k4tj4.bsky.social @cmaumet.bsky.social @bthirion.bsky.social @demw.bsky.social
OpenNeuro @openneuro.bsky.social just hit a huge milestone: 1500 datasets! Congrats to the team on making this project so successful over the last 7 years.
The Biological Psychiatry family of journals is now officially on Bluesky! Follow us for the latest research in psychiatric neuroscience, cognitive neuroimaging, and global open science from our three leading journals.
Many brain imaging “biomarkers” for autism have been proposed. Most aim for balanced accuracy (matching sensivity/specificity) on datasets where cases and controls are split 50/50. 1/🧵
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 🙌
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan | doi.org/10.1371/jour... How does blood perfusion map onto canonical features of brain structure and function? @asafarahani.bsky.social investigates @plosbiology.org ⤵️
In 2019, the CNeuroMod team and 6 participants began a massive data collection journey: twice-weekly MRI scans for most of 5 years. Data collection is now complete! 1/🧵
Automated testing with GitHub Actions - the latest in my Better Code, Better Science series russpoldrack.substack.com/p/automated-...
Automated testing with GitHub Actions
Better Code, Better Science: Chapter 4, Part 7
russpoldrack.substack.com
🥁... we are SO happy to officially announce that registration is now OPEN for our OHBM Virtual Satellite Meeting, taking place September 10-12! This has been a major goal of the SEA-SIG for a while now and we're so excited to show you what we've been working on! 🌱🌎✨🧠
The Organization for Human Brain Mapping@ohbmofficial.bsky.social · last yr.🌍🧠 Join us for the OHBM & SEA-SIG Virtual Satellite Meeting! 📅 Sept 10–12, 2025 | 🕛 12–15 UTC 💻 Online via Zoom 🔗 More info: https://humanbrainmapping.org/25SEASIG #OHBM #SEASIG
New CNeuroMod-THINGS open-access fMRI dataset: 4 participants · ~4 000 images (720 categories) each shown 3× (12k trials per subject)· individual functional localizers & NSD-inspired QC . Preprint: arxiv.org/abs/2507.09024 Congrats Marie St-Laurent and @martinhebart.bsky.social !!
1/11 Very excited to say that our preprint, Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain, is up on biorxiv! www.biorxiv.org/content/10.1...
Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain
Human brain organization shares a common underlying structure, though recent studies have shown that features of this organization also differ significantly across individual adults. Understanding the...
biorxiv.org
Excited to share our News&Views on Kamitani Lab's NatComputSci paper! Their neural code converter enables transformation of brain activity patterns across individuals, and it doesn't need shared stimuli or connectivity information! www.nature.com/articles/s43...
Advancing neural decoding with deep learning - Nature Computational Science
A recent study introduces a neural code conversion method that aligns brain activity across individuals without shared stimuli, using deep neural network-derived features to match stimulus content.
nature.com
Excited to co-organize our NeurIPS 2025 workshop on Foundation Models for the Brain and Body! We welcome work across ML, neuroscience, and biosignals — from new approaches to large-scale models. Submit your paper or demo! 🧠 🧪 🦾
Mehdi Azabou@mehdiazabou.bsky.social · last yr.Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025! 🧠📈 🧪 We invite short papers or interactive demos on AI for neural, physiological or behavioral data. Submit by Aug 22 👉 brainbodyfm-workshop.github.io
This is why I think the platonic rep hypothesis doesn’t apply to brain-ANN alignment, since most existing (functional?) models are implicitly or explicitly trained to mimic humans. The assumption of PRH is that the networks are trained independently which doesn’t hold in brain-ANN comparisons.
Dan Levenstein@dlevenstein.bsky.social · last yr.This is what I tried to get at with the attempted “extension”, from the usual (sensory rep) PRH to a broader cognitive PRH, via imitation learning of language behavior (IMO all LLMs are trained to mimic humans, unless they independently discover language 😅).