Nanda H Krishna

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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.

AI and Neuroscience | IVADO

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)

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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...

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.

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...

🚨 New preprint alert!

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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.
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A 🧵:

tinyurl.com/yr8tawj3

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

🚨 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. 🧠🤖

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. 🧵

2. The non-pretrained POSSM models are on par with baselines such as the GRU. The pre-trained o-POSSM models are statistically better with p < 0.05 (than both non-pretrained POSSM and other baselines).

Hope that answers your questions!

2/2 🧵

Hi Joao, thank you for the questions! We reported this result as Table 2 in the preprint. To answer:

1. Yes, the first purple bar is trained only on human data while the second is pretrained on monkey data and finetuned on the human data.

1/2 🧵

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

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

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!

Sufficient conditions for offline reactivation in recurrent neural networks During periods of quiescence, such as sleep, neural activity in many brain circuits resembles that observed during periods of task engagement. However, the precise conditions under which task-optimize...

Late to the thread but here’s the proceedings version from ICLR ‘24 (up to date and much better formatted 😇): arxiv.org/abs/2505.17003

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 🧠📈 🧪

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

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.

We’ve uploaded talk recordings to the workshop website (neurofm-workshop.github.io) if you’re interested to check them out!

Thanks again to all our speakers, attendees, and the entire team: @averyryoo.bsky.social, @colehurwitz.bsky.social, @mehdiazabou.bsky.social, Eva Dyer, and @tyrellturing.bsky.social for making this happen. 🙌

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

neurofm-workshop.github.io

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

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.

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?

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! 🧠

🙋‍♂️