Cool work! I should clarify that our cortical SSL model (Nejad 2025) also predicts in the latent space like JEPA. Indeed the mapping to JEPA is relative straigtforward (L4 and L5 are encoders and L2/3 is the predictive network).

Sorry to be missing CCN'25!! But if you are around come and check-out some of our work in the cogcompneuro space!
@cogcompneuro.bsky.social @achterbrain.bsky.social @Michal, @Angeliki and @Austin

Sharing this very cool drawing that Kevin Nejad generated using AI systems that have themselves been trained via self-supervision, which seems very fitting :)

www.nature.com/articles/s41...

Reminder that deadline for applying for our Encode: AI for (neuro)Science fellowship is coming up (30th!)

encode.pillar.vc/apply

Looking for an exciting fellowship in neuroAI, with competitive salary (~£100k)?

Our group is hiring for a project on AI for Systems-Behavioral Neuroscience, more info here: encode.pillar.vc/projects/beh...

General info: encode.pillar.vc 🧪

#compneuro #neuroai #neuroscience #sciencejobs

Ever wondered what different layer-5 PC types do for learning?

Our work suggests that one (IT PCs) does representational learning whereas the other (ET PCs) encodes representational value!

A great exp-theory collaboration with the Larkum and Takahashi's labs!

🚨Our paper on how the cerebellum learns to drive cortical dynamics for rapid task learning and switching, which we propose can then be consolidated in the cortex @naturecomms.bsky.social

nature.com/articles/s41...

🧠 #compneuro