New survey on predictive representations in reinforcement learning, covering AI, cognitive, and neuroscience perspectives: arxiv.org/abs/2402.06590 Joint work with Wilka Carvalho, Momchil Tomov, Will de Cothi, @caswellcaswell

Now out in Cognitive Psychology, work with my wonderful collaborators Yang Xiang Natalia Vélez (natvelali.bsky.social @ 🦋) studying how people use planning to train their collaborators. sciencedirect.com/science/articl…

"Learning leaves a memory trace in motor cortex" Out today in Current Biology! Led by Darby Losey, with myself, Emily Oby, Matt Golub, Aaron Batista, Byron Yu, Steve Chase, and team. 📎: authors.elsevier.com/c/1ipdB3QW8S6D… 🧵: x.com/jehosafet/stat…

Announcing our Final Line-Up & Reduced Prices: Spring Summit on Fundamental Challenges for AI! bit.ly/springsummitai… We discuss core challenges & promising avenues in a day of high-profile keynotes & panels. Lunch & Reception included. Come & join us! April 15th,

AE Global Summit on Open Problems for AI (London, Oct 23-24): Final Line-up and Reduced Ticket Prices: algopreneurship.org It’s a pleasure to announce the final program for our upcoming Summit on Open Problems for AI in London. We have what might actually be the best 2-day

New paper w/ the brilliant Oded Wertheimer suggests a new computational framework for ASD variation, framing it as a computational trade-off between precise signal encoding and fast adaptation to changes, driven by neuronal dynamic range. nature.com/articles/s4159…

Inspiring work on the computational basis of ASD at the neuronal level. Go get it while it's fresh!

Exploring the role of dimensionality transformation in episodic memory Opinion by Casper Kerrén (Casper Kerrén), Daniel Reznik (Daniel Reznik), Christian F. Doeller (DoellerLab), & Benjamin Griffiths tinyurl.com/ms7ph255