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. 🧠🤖

Nanda H Krishna@nandahkrishna.bsky.social · 2mo ago

Excited to announce the 2nd Foundation Models for the Brain and Body Workshop at #NeurIPS2026 in Sydney, Australia! 🧠🤖 We invite short papers & demos on AI for neural, physiological, or behavioral data. 📅 Papers: Sep 4 💡 Demos: Sep 19 Learn more 👉 brainbodyfm-workshop.github.io

(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

🚨 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 · last yr.

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. 🧠📈 🧪

Avery HW Ryoo@averyryoo.bsky.social · last yr.

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

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

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!

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 · last yr.

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. 🐀

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@mehdiazabou.bsky.social · last yr.

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 🧵

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 🧵

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. 🐀

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 🧠📈 🧪

IVADO@ivado.bsky.social · last yr.

🔍 [Job Offer] #MachineLearning Specialist. Join the IVADO Research Regroupement - AI and Neuroscience (R1) to develop foundational models in the field of neuroscience. More info: ivado.ca/2025/04/08/s... #JobOffer #AI #Neuroscience #Research #MachineLearning

#COSYNE2025 tutorial by Eva Dyer. Foundations of Transformers in Neuroscience youtu.be/CqS_sIrMZ2A... Materials: cosyne-tutorial-2025...

Cosyne 2025 Tutorial - Eva Dyer - Foundations of Transformers in Neuroscience

Cosyne 2025 Tutorial Session Sponsored by the Simons Foundation TOPIC: Foundations of Transformers in Neuroscience SPEAKER: Eva Dyer, Georgia Institute of Technology DATE: 27 March 2025 In this tutorial, we’ll introduce the fundamentals of transformers and their applications in neuroscience usin

youtu.be

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

Neuro Galaxy

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

github.com

Memming Park@memming.bsky.social · 2y ago

#COSYNE2025 tutorial by Eva Dyer. Foundations of Transformers in Neuroscience youtu.be/CqS_sIrMZ2A... Materials: cosyne-tutorial-2025...

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

neurofm-workshop.github.io

Avery HW Ryoo@averyryoo.bsky.social · 2y ago

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!

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

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...

Avery HW Ryoo@averyryoo.bsky.social · 2y ago

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!

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?

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.

neurofm-workshop.github.io

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 🧪

The Transmitter @thetransmitter.bsky.social · 2y ago

How can we make progress in developing a general model of neural computation rather than a series of disjointed models tied to specific experimental circumstances, ask Eva Dyer and @tyrellturing.bsky.social in the latest entry in our NeuroAI series. www.thetransmitter.org/neuroai/acce...

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 🧠 🧪

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.

neurofm-workshop.github.io

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

Avery HW Ryoo@averyryoo.bsky.social · 2y ago

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!

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

Neuro-foundation models Workshop - COSYNE 2025

Join the conversation

go.bsky.app

Avery HW Ryoo@averyryoo.bsky.social · 2y ago

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!

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!

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

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

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?!?!?! 🧠📈 🧪

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 ...

nature.com

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

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

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!

Mehdi Azabou@mehdiazabou.bsky.social · 3y ago

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 🧵

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.

Blake Richards@tyrellturing.bsky.social · 3y ago

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