It’s a perplexing time in the study of visual perception. On the one hand, there is a resurgence of models that freely posit a priori structure in the visual system, including priors, generative world models, and physics engines. On the other hand, there is the astonishing a posteriori success of deep neural networks trained only

More details to follow.   Bio Jacob Yates (he/him) is an Assistant Professor of Optometry & Vision Science at UC Berkeley and leads the Active Vision and Neural Computation Lab. His research explores how populations of neurons in the cortex and early visual pathways encode the visual world, with a particular focus on how eye movements generate and

More details to follow. This talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Photo by Gertrūda Valasevičiūtė on Unsplash.