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Reposted by Mehdi Azabou

Kanaka Rajan @kanakarajanphd.bsky.social · 26d

(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

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Mehdi Azabou @mehdiazabou.bsky.social · 27d

brainbodyfm-workshop.github.io/call-for-demos

Call for Demos - NeurIPS 2025 Workshop - Foundation Models for the Brain and Body

Submit your interactive demo to the NeurIPS 2025 Workshop on Foundation Models for the Brain and Body. Deadline: September 12, 2025.

brainbodyfm-workshop.github.io

Mehdi Azabou @mehdiazabou.bsky.social · 27d

🚨 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.

Mehdi Azabou @mehdiazabou.bsky.social · Jul 11

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

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Mehdi Azabou @mehdiazabou.bsky.social · Jul 11

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

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Mehdi Azabou @mehdiazabou.bsky.social · Jun 6

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.

🧠📈 🧪

Avery HW Ryoo @averyryoo.bsky.social · Jun 6

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

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Reposted by Mehdi Azabou

Avery HW Ryoo @averyryoo.bsky.social · Jun 6

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

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Reposted by Mehdi Azabou

Jean-Rémi King @jeanremiking.bsky.social · May 30

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!

EEG Challenge (2025)

From Cross-Task to learning subject invariance representation in EEG decoding

eeg2025.github.io

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Reposted by Mehdi Azabou

Cole Hurwitz @colehurwitz.bsky.social · May 2

Neural Encoding and Decoding at Scale (NEDS) is now accepted to @icmlconf.bsky.social as a spotlight (top 2.6%)! 🧠 🧪

Cole Hurwitz @colehurwitz.bsky.social · Apr 15

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. 🐀

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Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · Apr 25

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