Excited to be organising the BrainBodyFM Workshop โ in spirit, a successor to our #COSYNE Workshop on Neuro-foundation Models โ at #NeurIPS2025! Check out the website for more details. ๐ง ๐ค
Excited to share that POSSM has been accepted to #NeurIPS2025! See you in San Diego ๐๏ธ
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.
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.
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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...
Iโm 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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๐จ Iโm excited to say that my CIHR Project Grant was funded! My NHP lab is now full-speed-ahead, and Iโm hiring experimentalists (postdoc, PhD student, and/or a tech/manager). Weโll do multi-region ephys during reaching/grasping in macaques, with behavioral and spinal perturbations.
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. ๐งต
Nanda H Krishna
Nanda H Krishna
Olivier Codol
Guillaume Lajoie
๐บ Homebrew
๐จ 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 ๐งต:
tinyurl.com/yr8tawj3
Matt Perich
Shahab Bakhtiari
Matt Perich
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...
Excited to share that POSSM has been accepted to #NeurIPS2025! See you in San Diego ๐๏ธ
Nanda H Krishna
Hereโs our latest work at @glajoie.bsky.social and @mattperich.bsky.social โs 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...
Olivier Codol
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...