Let's continue our #CCN2026 Back2NY discussion: how can studying machines help us cognitive scientists understand the mind? In work with @ycleong.bsky.social , we use VLMs as a natural comparison case to probe the origins of affect-biased attention. Poster F91, Rosenthal, Thur, 1:45–3:30 pm.
Michael Zhu
@mikezhu.bsky.social
@uchicago Interested in how humans individually and collectively develop compact representations of the buzzing world
Thrilled to be on the board of this new OA journal that fills a critical niche! Kudos to the co-Editors-in-Chief (@lisik.bsky.social,KendrickKay,ElliePavlick) and a big TY to @mitpress.bsky.social for supporting this important effort! JIT for @cogcompneuro.bsky.social :) Send us your stuff (soon!)
Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb
Very excited to share this paper, led by @ajhaskins.bsky.social ! We find that how people look around the world is stable and idiosyncratic — and that these gaze patterns are shaped in part by the conceptual priorities each person brings to a scene. 1/3 www.pnas.org/doi/10.1073/...
New preprint out with @summerfieldlab.bsky.social! When does new learning interfere with existing knowledge? We compare continual learning in humans and artificial neural networks, revealing similar patterns of transfer & catastrophic interference (1/8) osf.io/preprints/ps...