📢UNIQUE Student Symposium 2024: Limited places! If you are interested in Neuro-AI, join us on May 8-10 @ CERVO Brain research Center (Quebec City)! Bus and hotel available - see conditions 🧠 👉Register now: eventbrite.ca/e/unique-stude… ⏳Poster submission: forms.gle/ePZuZNaLn5Tyq6…

I’ll be presenting this today at #ICLR2024! If you’re interested in hippocampal replay and how it could be linked to task optimisation, check out Poster 53 during Poster Session 3 at 10:45 am.

Here’s our latest work at Guillaume Lajoie and Matt Perich's labs! Excited to see this out. We used a combination of neural recordings & modelling to show that RL yields neural dynamics closer to biology, with useful continual learning properties. biorxiv.org/content/10.110…

I’ll be attending #NeurIPS2024 in Vancouver this week. Excited to meet new people and chat about comp neuro, NeuroAI, and foundation models for neuroscience. Also keen to attend the NeuroAI, UniReps and Symmetry and Geometry in Neural Representations workshops!

Two abstracts accepted to COSYNE – real-time BCI decoding (w/ Avery Ryoo, Ximeng Mao, Matt Perich, Guillaume Lajoie) and motor learning (w/ Olivier Codol, Guillaume Lajoie, Matt Perich). Thanks to the organisers and reviewers for the great Xmas gift! 🎄

Looking for an undergrad volunteer who's interested in SSMs + transformers for neural decoding/BCIs at Mila! Strong coding + Pytorch skills are a must. Please DM/email me your CV + interests (priority given to those based in Montréal). Thanks! 🧠🤖

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at CosyneMeeting #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 - April 1.

Just a couple days until Cosyne - stop by [3-083] this Saturday and say hi! Nanda H Krishna Ximeng Mao

Really enjoyed TAing for this!

The recordings from the 🌐🧠 Neuro Foundation Model workshop are up on the workshop website! Thanks again to our speakers, and everyone who attended. And thanks to the entire team Cole Hurwitz, Nanda H Krishna, Avery Ryoo, Eva Dyer and Blake Richards for making this happen 🙌

Preprint Alert 🚀 Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always true. Example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan. 1/8

How to align your diffusion model with unseen objectives at inference time? Presenting Diffusion Tree Sampling/Search (DTS/DTS*) 🥳 Using MCTS-style search, DTS steadily improves sample quality with compute, matching the best baseline with 5× less compute!

Excited to be organising the BrainBodyFM Workshop – in spirit, a successor to our #COSYNE Workshop on Neuro-foundation Models – at #NeurIPS2025! Check out the website for more details. 🧠🤖