iiinova — where your digital self keeps evolving

Mehdi Azabou @mehdiazabou.bsky.social · 05/08/2026

Really excited to share that BrainBodyFM is back this year! The call for papers and demos is out, check it out, and please consider submitting your work. 🧠🤖

030

Reposted by Mehdi Azabou

Kanaka Rajan @kanakarajanphd.bsky.social · 12/09/2025

(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

15415

Mehdi Azabou @mehdiazabou.bsky.social · 11/09/2025

🚨 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.

121

Mehdi Azabou @mehdiazabou.bsky.social · 11/07/2025

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

03310

Mehdi Azabou @mehdiazabou.bsky.social · 06/06/2025

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. 🧠📈 🧪

0120

Reposted by Mehdi Azabou

Avery HW Ryoo @averyryoo.bsky.social · 06/06/2025

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

25524

Reposted by Mehdi Azabou

Jean-Rémi King @jeanremiking.bsky.social · 30/05/2025

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!

eeg2025.github.io

EEG Challenge (2025)

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

12910

Reposted by Mehdi Azabou

Cole Hurwitz @colehurwitz.bsky.social · 02/05/2025

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

0123

Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · 25/04/2025

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

05313

Mehdi Azabou @mehdiazabou.bsky.social · 25/04/2025

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 🧵

poyo-plus.github.io

POYO+

POYO+: Multi-session, multi-task neural decoding from distinct cell-types and brain regions

14510

Reposted by Mehdi Azabou

Cole Hurwitz @colehurwitz.bsky.social · 15/04/2025

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. 🐀

15710

Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · 11/04/2025

Interested in foundation models for #neuroscience? Want to contribute to the development of the next-generation of multi-modal models? Come join us at IVADO in Montreal! We're hiring a full-time machine learning specialist for this work. Please share widely! #NeuroAI 🧠📈 🧪

15731

Reposted by Mehdi Azabou

Nanda H Krishna @nandahkrishna.bsky.social · 05/04/2025

Really enjoyed TAing for this tutorial, had great discussions with several attendees. Do check out `torch_brain` and the other packages here: github.com/neuro-galaxy

github.com

Neuro Galaxy

Foundation models for neural data. Neuro Galaxy has 5 repositories available. Follow their code on GitHub.

0193

Reposted by Mehdi Azabou

Nanda H Krishna @nandahkrishna.bsky.social · 05/04/2025

Talk recordings from our COSYNE Workshop on Neuro-foundation Models 🌐🧠 are now up on the workshop website! neurofm-workshop.github.io

neurofm-workshop.github.io

COSYNE 2025 Workshop - Building a foundation model for the brain

Join us to explore neuro-foundation models. March 31-April 1, 2025 in Mont Tremblant, Canada.

13510

Reposted by Mehdi Azabou

Josué Ortega Caro @josueortc.bsky.social · 01/04/2025

Come to my talk today at #COSYNE2025 where I will talk about developing spatiotemporal models of brain dynamics

172

Mehdi Azabou @mehdiazabou.bsky.social · 31/03/2025

Thanks to everyone who came to Day 1 of the Workshop! I had fun making this plot for the opening talk. It's exciting to see the exponential growth in the amount of pretraining data 🚀 I compiled a list of neuro-foundation models for EPhys and OPhys: github.com/mazabou/awes...

140

Reposted by Mehdi Azabou

Katrin Franke @katrinfranke.bsky.social · 30/03/2025

I'll be giving a talk at the foundation model workshop #Cosyne2025 tomorrow: neurofm-workshop.github.io In response to @thetransmitter.bsky.social article by @tyrellturing.bsky.social & Eva Dyer I'll be talking about: How do "foundation"/AI models help us (experimenters) study the brain?

neurofm-workshop.github.io

COSYNE 2025 Workshop - Building a foundation model for the brain

Join us to explore neuro-foundation models. March 31-April 1, 2025 in Mont Tremblant, Canada.

13211

Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · 26/03/2025

Eva Dyer and I wrote an opinion piece for @thetransmitter.bsky.social on why neuroscience needs to embrace complexity and accept the "bitter lesson" by using a data-driven regime at scale. With commentary from several wonderful researchers! 🧠📈 #NeuroAI 🧪

511134

Reposted by Mehdi Azabou

Cole Hurwitz @colehurwitz.bsky.social · 24/03/2025

Cosyne is this week! Looking forward to catching up with whoever is there. :-) #Cosyne2025 If you are sticking around for workshops, come checkout our 2-day workshop on building foundation models for the brain: neurofm-workshop.github.io 🧠 🧪

neurofm-workshop.github.io

COSYNE 2025 Workshop - Building a foundation model for the brain

Join us to explore neuro-foundation models. March 31-April 1, 2025 in Mont Tremblant, Canada.

052

Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · 10/03/2025

Join us at this #COSYNE2025 workshop to discuss foundation models for neuroscience!!! #neuroscience #NeuroAI #MLSky 🧪

1367

Mehdi Azabou @mehdiazabou.bsky.social · 10/03/2025

Join us at #COSYNE2025 to explore recent advancements in large-scale training and analysis of brain data! 🧠🟦 We also made a starter pack with (most of) our speakers: go.bsky.app/Ss6RaEF

go.bsky.app

Neuro-foundation models Workshop - COSYNE 2025

Join the conversation

0174

Reposted by Mehdi Azabou

Avery HW Ryoo @averyryoo.bsky.social · 10/03/2025

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.bsky.social #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 – April 1!

24416

Reposted by Mehdi Azabou

Cole Hurwitz @colehurwitz.bsky.social · 02/12/2024

Ported over from X! What will a foundation model for the brain look like? 🧠 We argue that it must be able to solve a diverse set of tasks across multiple brain regions and animals. Check out our NeurIPS paper which introduces a multi-region, multi-animal, multi-task model arxiv.org/abs/2407.14668

18328

Reposted by Mehdi Azabou

Patrick Mineault @patrickmineault.bsky.social · 02/12/2024

Excited to release what we’ve been working on at Amaranth Foundation, our latest whitepaper, NeuroAI for AI safety! A detailed, ambitious roadmap for how neuroscience research can help build safer AI systems while accelerating both virtual neuroscience and neurotech. 1/N

Different paths toward safe AI at different Marr's levels

514851

Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · 28/11/2024

This study shows that spike sequences carry information beyond what rates and latency to first spike do: www.nature.com/articles/s41... My reactions: 1) Cool to see this in humans. 2) Are people still surprised that spike times carry information beyond rates/first-spike latency?!?!?! 🧠📈 🧪

nature.com

Neuronal sequences in population bursts encode information in human cortex - Nature

The temporal order of neuronal firing within bursts of population spiking in the human anterior temporal lobe is dependent on the category as well as the identity of the individual stimulus, and this ...

617433

Reposted by Mehdi Azabou

Cole Hurwitz @colehurwitz.bsky.social · 25/11/2024

Ok, so I wanted to try my hand at building a starter pack too :-). This pack includes developers of tools and methods for electrophysiology (focused on extracellular recordings). Please let me know if I missed anyone! Also, we need more people from X to switch to fill this out! go.bsky.app/DFWsuTJ

83713

Mehdi Azabou @mehdiazabou.bsky.social · 11/12/2023

How can we extract insights from behavior modulated by multiple complex factors? 🐭🪰🤖🏃 Check out our #NeurIPS2023 Spotlight Paper where we present a SSL method for learning multiscale representations of behavior! 🧠🟦 Link: multiscale-behavior.github.io

1114

Reposted by Mehdi Azabou

Matt Perich @mattperich.bsky.social · 26/10/2023

Awesome work led by @mehdiazabou.bsky.social and @evadyer.bsky.social towards unifying large scale datasets into a single model. The real gem here is the spike tokenization, super clever way to solve a key problem. Check it out!

093

Reposted by Mehdi Azabou

Guillaume Lajoie @glajoie.bsky.social · 26/10/2023

Neural spiking data and Transformers are a tricky match. Temporal segmentation and tokenization are the crux. Together with an all-star team, we figured out a scalable way to solve this. The results are exciting: training and transferring on multi-sessions, multi-subjects neural decoding tasks.

0125

Reposted by Mehdi Azabou

Blake Richards @tyrellturing.bsky.social · 26/10/2023

Check out this new paper! Led by @mehdiazabou.bsky.social and @evadyer.bsky.social, we show that it is possible to get SOTA brain decoding with transfer across individuals and tasks! The key is a clever way to tokenize spiking data for transformers. #neuroskyence #brain #neurotech

23218

Reposted by Mehdi Azabou

Patrick Mineault @patrickmineault.bsky.social · 26/10/2023

Dope paper on multi-subject, multi-session universal decoders for neural spike data. The key to making it all work? Spike embeddings! Same idea as word embeddings, map discrete tokens to a continuous space #neuroskyence

072

Mehdi Azabou @mehdiazabou.bsky.social · 26/10/2023

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 🧵

12913