Excited to head to CCN @cogcompneuro.bsky.social next week! Come checkout a project I've been working on with @mariaeckstein.bsky.social using interpretable AI to understand flexible behavior in my talk on Thursday morning and poster on Friday evening: 2025.ccneuro.org/poster/?id=A...

Pleased to share our ICML Spotlight with @eberleoliver.bsky.social, Thomas McGee, Hamza Giaffar, @taylorwwebb.bsky.social.

Position: We Need An Algorithmic Understanding of Generative AI

What algorithms do LLMs actually learn and use to solve problems?🧵1/n
openreview.net/forum?id=eax...

Excited to share this project specifying a research direction I think will be particularly fruitful for theory-driven cognitive science that aims to explain natural behavior!

We're calling this direction "Naturalistic Computational Cognitive Science"

Our preprint is finally out! How can we understand the role of Behavioral Timescale Synaptic Plasticity in credit assignment? Does it fit into existing supervised and unsupervised learning frameworks? What theoretical gaps are still left unexplained?

www.biorxiv.org/content/10.1...

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...

Congrats to the fantastic Jess P for her new paper! She compared how feature Vs outcome focussed agents learn to solve contextual inference problems. She found that you need a balance of both to learn these tasks - and that this mix recapitulates pfc and hippocampal activity in rodent tasks!