Mehdi Azabou
@mehdiazabou
Postdoc at ARNI Institute @Columbia | Machine Learning & Computational Neuroscience | Prev. @GeorgiaTech @centralesupelec, intern @IBMResearch @Parrot
Is a universal brain decoder possible? Can we train a decoding system that easily transfers to new individuals/tasks? Check out our #NeurIPS2023 paper where we show that it’s possible to transfer from a large pretrained model to achieve SOTA 🧠! Link: poyo-brain.github.io 🧵
ARNI is excited to co-sponsor this workshop in upcoming #NeurIPS2025
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
Join us in San Diego this NeurIPS for a workshop on Foundation Models for the Brain and Body - bringing together researchers building large-scale models for biosignals in academia and industry. It's an exciting time to decode the brain and body.
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
thrilled to be co-organizing an exciting workshop for NeurIPS this year "Foundation Models for the Brain and Body" you should submit if you're doing work (or have a demo) related to foundation models and biosignals! check the website for more details and workshop scope
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
Glad to be sponsoring this workshop! If you are working in this space, be sure to submit a paper!
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
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! 🧠💪
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
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. 🧠🤖
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
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
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.
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 species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7
Neural Encoding and Decoding at Scale (NEDS) is now accepted to #ICML2025 as a spotlight (top 2.6%)! 🧠
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.
Checkout our poster tomorrow! 3 PM to 5:30 PM, Hall 3 + Hall 2B #550
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+🧠 🧵
Thrilled to share our state-of-the-art method for in vivo cell-type classification and brain region localization, NEMO, which is now now a spotlight at #ICLR2025! We use NEMO to characterize the electrophysiological diversity of cell-types across the entire mouse brain. 🐭 🧠