Hi all, I'm happy to announce that I have started at the University of Oregon as an assistant professor! My group will use computational methods to study learning and synaptic plasticity. I will be hiring grad students this year--please reach out if you're interested! colinbre@uoregon.edu

MOJO has been accepted to #NeurIPS2026! 🎉 We use SSL + unlabelled data for better decoding, stronger few-shot transfer, and more interpretable embeddings with POYO and POSSM (SoTA decoders for neural spikes). Stay tuned for more results + torch_brain-based code! 👀

Nanda H Krishna@nandahkrishna.bsky.social · 3mo ago

What if spike-tokenising decoders could learn from unlabelled neural data? 🧠⚡ Introducing MOJO, a joint SSL+SL framework for POYO- & POSSM-style models. MOJO improves decoding & few-shot transfer and yields more interpretable unit embeddings across neural datasets & tasks. 1/🧵

Excited that BrainWideBench is finally public! A huge team effort and one of the largest datasets and most comprehensive benchmarks for neural decoders. Glad to have contributed POSSM and to see it do well! Hope the community uses BWB to benchmark their models. 🐭🧠

shivashriganesh.bsky.social@shivashriganesh.bsky.social · 3w ago

We’re excited to share BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across animals and tasks! 📄 Check out the paper here! arxiv.org/abs/2609.22064 Special shoutout to @alx-adr.bsky.social, who contributed equally as co-first authors!

In brain-computer interfacing, clever and adaptive decoders help brains learn complex tasks faster. These can impact the nature of solutions learned by the brain. Our new paper is one of the first attempts to study this effect. W/ @neuroamyo.bsky.social and team www.nature.com/articles/s41...

Assistive algorithms influence neural representations in motor brain-computer interfaces - Nature Communications

Assistive algorithms are widely used in brain-computer interfaces (BCIs), but their effects on neural representations remain unclear. Here, the authors show that adaptive BCIs lead the brain to learn ...

nature.com

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

NeurIPS 2026 Workshop - Foundation Models for the Brain and Body

Join us to explore foundation models for the brain and body. Second edition at NeurIPS 2026.

brainbodyfm-workshop.github.io

What if spike-tokenising decoders could learn from unlabelled neural data? 🧠⚡ Introducing MOJO, a joint SSL+SL framework for POYO- & POSSM-style models. MOJO improves decoding & few-shot transfer and yields more interpretable unit embeddings across neural datasets & tasks. 1/🧵

We're doing a short user survey to inform future Homebrew development. Please fill in as many or few questions as you can: docs.google.com/forms/d/e/1F...

Homebrew User Survey

Questions for current Homebrew users to inform future Homebrew development

docs.google.com

Incredibly proud of lab members and collaborators for having presented this work at #NeurIPS2025. As flexible sequence models are rapidly developed for neural data, this work demonstrates that they can be used online and substantially benefit from hybrid SSM architectures.

Nanda H Krishna@nandahkrishna.bsky.social · last yr.

Excited to share that POSSM has been accepted to #NeurIPS2025! See you in San Diego 🏖️

I’m looking for interns to join our lab for a project on foundation models in neuroscience. Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...). Interested? See the details in the comments. (1/3) 🧠🤖

AI and Neuroscience | IVADO

ivado.ca

If you're interested in dynamical systems analysis for neuroscience, definitely check out @oliviercodol.bsky.social 's revised version of our RL paper! Very cool results in the new Fig 6, worth it regardless of if you saw our previous version or if it's all new. www.biorxiv.org/content/10.1...

Brain-like neural dynamics for behavioral control develop through reinforcement learning

During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...

biorxiv.org

Olivier Codol@oliviercodol.bsky.social · 11mo ago

A tad late (announcements coming) but very happy to share the latest developments in my previous preprint! Previously, we show that neural representations for control of movement are largely distinct following supervised or reinforcement learning. The latter most closely matches NHP recordings.

A tad late (announcements coming) but very happy to share the latest developments in my previous preprint! Previously, we show that neural representations for control of movement are largely distinct following supervised or reinforcement learning. The latter most closely matches NHP recordings.

Olivier Codol@oliviercodol.bsky.social · 2y ago

Here’s our latest work at @glajoie.bsky.social and @mattperich.bsky.social ‘s labs! Excited to see this out. We used a combination of neural recordings & modelling to show that RL yields neural dynamics closer to biology, with useful continual learning properties. www.biorxiv.org/content/10.1...

🚨 New preprint alert! 🧠🤖 We propose a theory of how learning curriculum affects generalization through neural population dimensionality. Learning curriculum is a determining factor of neural dimensionality - where you start from determines where you end up. 🧠📈 A 🧵: tinyurl.com/yr8tawj3

The curriculum effect in visual learning: the role of readout dimensionality

Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explan...

tinyurl.com

Excited to share that POSSM has been accepted to #NeurIPS2025! See you in San Diego 🏖️

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

🚨 I’m excited to say that my CIHR Project Grant was funded! My NHP lab is now full-speed-ahead, and I’m hiring experimentalists (postdoc, PhD student, and/or a tech/manager). We’ll do multi-region ephys during reaching/grasping in macaques, with behavioral and spinal perturbations.

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. 🧠🤖

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

Thrilled to announce I'll be starting my own neuro-theory lab, as an Assistant Professor at @yaleneuro.bsky.social @wutsaiyale.bsky.social this Fall! My group will study offline learning in the sleeping brain: how neural activity self-organizes during sleep and the computations it performs. 🧵

Here's our latest preprint on neural decoders for spiking data. Stay tuned for the code (and hopefully, some exciting follow-ups)!

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

Preprint Alert 🚀 Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always the case. For example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan. 1/8

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!

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 · 2y ago

🔍 [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

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!

Very late, but had a 🔥 time at my first Cosyne presenting my work with @nandahkrishna.bsky.social, Ximeng Mao, @mattperich.bsky.social, and @glajoie.bsky.social on real-time neural decoding with hybrid SSMs. Keep an eye out for a preprint (hopefully) soon 👀 #Cosyne2025 @cosynemeeting.bsky.social

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

Just a couple days until Cosyne - stop by [3-083] this Saturday and say hi! @nandahkrishna.bsky.social

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!

Hi! Looking for an undergrad volunteer who's interested in working with SSMs + transformers for neural decoding/BCIs at Mila! Strong coding + Pytorch skills are a must. Please DM/email me your CV + interests (priority given to those based in Montréal). Thanks! 🧠🤖

Some exciting news in time for the holidays 🎄🎁☃️ I'll be at Cosyne 2025 (@cosynemeeting.bsky.social) to present our work on generalizable real-time decoding for BCIs 🧠🦾 Really looking forward to seeing everyone in Montréal 🇨🇦! Stay tuned for more details in the new year🤘

Our COSYNE abstracts on real-time BCI decoding (w/ @averyryoo.bsky.social, Ximeng Mao, @mattperich.bsky.social, @glajoie.bsky.social) and motor learning (w/ @oliviercodol.bsky.social, @glajoie.bsky.social, @mattperich.bsky.social) were accepted! Couldn’t have asked for a better Xmas gift 🎄

First post on Bluesky! I’ll be attending #NeurIPS2024 in Vancouver this week. Excited to meet new people and chat about comp neuro, NeuroAI, and foundation models for neuroscience. Also keen to attend the NeuroAI, @unireps.bsky.social and @neurreps.bsky.social workshops! 🧠