Nanda H Krishna

@nandahkrishna.bsky.social

PhD student with @glajoie.bsky.social at Mila – Quebec AI Institute and Université de Montréal. Computational Neuroscience + Deep Learning. Homebrew maintainer, open source enthusiast. Website: https://nandahkrishna.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/🧵

A summary of MOJO, an SSL+SL framework for spike-tokenising neural decoders.

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

🚨 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

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

Manitokan are images set up where one can bring a gift or receive a gift. 1930s Rocky Boy Reservation, Montana, Montana State University photograph. Colourized with AI

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

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 · last yr.

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

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! 🧠🤖