Adopting an engineering mindset will help the field focus its research priorities, writes @timothyoleary.bsky.social. #neuroskyence www.thetransmitter.org/systems-neur...

Honored to have a research highlight featuring our work! A comprehensive overview of our results and their impact for future research and applications: www.nature.com/articles/s41...

I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time! www.biorxiv.org/content/10.1...

In our Learning Club @cmc-lab.bsky.social today (Aug 18, Thu, 2pm CET), Samuel Liebana will tell us about his paper (www.cell.com/cell/fulltex... [joint work w/ @saxelab.bsky.social & @laklab.bsky.social]. Want to attend, send an empty email to [email protected] to get the link!

🚨Our preprint is online!🚨 www.biorxiv.org/content/10.1... How do #dopamine neurons perform the key calculations in reinforcement #learning? Read on to find out more! 🧵

Beautiful and clear results showing that temporal difference error calculation is hardwired in the dopamine/striatum mircocircuits: www.biorxiv.org/content/10.1... from @malcolmgcampbell.bsky.social and @naoshigeuchida.bsky.social

Read the full paper ‘Dopamine encodes deep network teaching signals for individual learning trajectories’ in @cellpress.bsky.social ⬇️ www.cell.com/cell/fulltex... ‪@yulonglilab.bsky.social‬‬‬ @saxelab.bsky.social ‪@oxforddpag.bsky.social‬‬‬ @laklab.bsky.social

Super excited to see this paper from Armin Lak & colleagues out! (I've seen @saxelab.bsky.social present it before.) www.cell.com/cell/fulltex... tl;dr: The learning trajectories that individual mice take correspond to different saddle points in a deep net's loss landscape. 🧠📈 🧪 #NeuroAI

How does in-context learning emerge in attention models during gradient descent training? Sharing our new Spotlight paper @icmlconf.bsky.social: Training Dynamics of In-Context Learning in Linear Attention arxiv.org/abs/2501.16265 Led by Yedi Zhang with @aaditya6284.bsky.social and Peter Latham

Excited to share new work @icmlconf.bsky.social by Loek van Rossem exploring the development of computational algorithms in recurrent neural networks. Hear it live tomorrow, Oral 1D, Tues 15 Jul West Exhibition Hall C: icml.cc/virtual/2025... Paper: openreview.net/forum?id=3go... (1/11)

Does the brain learn by gradient descent? It's a pleasure to share our paper at @cp-cell.bsky.social, showing how mice learning over long timescales display key hallmarks of gradient descent (GD). The culmination of my PhD supervised by @laklab.bsky.social, @saxelab.bsky.social and Rafal Bogacz!

Now online! Dopamine encodes deep network teaching signals for individual learning trajectories

Our work, out at Cell, shows that the brain’s dopamine signals teach each individual a unique learning trajectory. Collaborative experiment-theory effort, led by Sam Liebana in the lab. The first experiment my lab started just shy of 6y ago & v excited to see it out: www.cell.com/cell/fulltex...

New research shows long-term learning is shaped by dopamine signals that act as partial reward prediction errors. The study in mice reveals how early behavioural biases predict individual learning trajectories. Find out more ⬇️ www.sainsburywellcome.org/web/blog/lon...