🚨 The call for demos is still open, the deadline is tomorrow!
If you have a tool for visualizing large-scale data, pipelines for training foundation models, or BCI demos, we want to see it!
Submission is only 500 words, and it's a great opportunity to showcase your work.
(1/8) New paper from our team!
Yu Duan & Hamza Chaudhry introduce POCO, a tool for predicting brain activity at the cellular & network level during spontaneous behavior.
Find out how we built POCO & how it changes neurobehavioral research 👇
arxiv.org/abs/2506.14957
Our EEG-Foundation Challenge, on more than 3,000 subjects, is accepted at #Neurips 2025, go check it out:
eeg2025.github.io
Led by B Aristimunha D Truong P Guetschel and SY Shirazi!
Check out our new paper at #ICLR2025, where we show that multi-task neural decoding is both possible and beneficial.
As well, the latents of a model trained only on neural activity capture information about brain regions and cell-types.
Step-by-step, we're gonna scale up folks!
🧠📈 🧪 #NeuroAI
Mehdi Azabou
Mehdi Azabou
Neural Encoding and Decoding at Scale (NEDS) is now accepted to @icmlconf.bsky.social as a spotlight (top 2.6%)! 🧠 🧪
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
New preprint! 🧠🤖
How do we build neural decoders that are:
⚡️ fast enough for real-time use
🎯 accurate across diverse tasks
🌍 generalizable to new sessions, subjects, and even species?
We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes!
🧵1/7
Kanaka Rajan
Jean-Rémi King
Blake Richards
Mehdi Azabou
POSSM shows that monkey-to-human transfer works 🤯
This could change how we train neuro-foundation models. Multi-species pretraining!
POYO x SSM = POSSM 🧠⚡
A big step toward real-time, generalizable brain decoders at scale.
🧠📈 🧪
Mehdi Azabou
Cole Hurwitz
Submit your interactive demo to the NeurIPS 2025 Workshop on Foundation Models for the Brain and Body. Deadline: September 12, 2025.
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
eeg2025.github.io
From Cross-Task to learning subject invariance representation in EEG decoding
Scaling models across multiple animals was a major step toward building neuro-foundation models; the next frontier is enabling multi-task decoding to expand the scope of training data we can leverage.
Excited to share our #ICLR2025 Spotlight paper introducing POYO+ 🧠
poyo-plus.github.io
🧵
Mehdi Azabou
Mehdi Azabou
New preprint! 🧠🤖
How do we build neural decoders that are:
⚡️ fast enough for real-time use
🎯 accurate across diverse tasks
🌍 generalizable to new sessions, subjects, and even species?
We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes!
🧵1/7
Avery HW Ryoo
POYO+: Multi-session, multi-task neural decoding from distinct cell-types and brain regions
Another step toward a foundation model of the mouse brain: "Neural Encoding and Decoding at Scale (NEDS)"
Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals. 🐀
