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DTSTART;TZID=America/New_York:20251118T120000
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CREATED:20251113T205142Z
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SUMMARY:Penn AI Presents: “How Brains and Machines Solve the Binding Problem”
DESCRIPTION:Despite decades of research\, we still do not know how the brain integrates the many features of an object into a coherent whole\, or whether artificial systems perform similar binding. In our first study\, we find that large self-supervised vision transformers spontaneously develop a low-dimensional “same-object” representation that predicts whether two image patches belong to the same object with over 90% accuracy. Removing this signal disrupts segmentation\, showing that object binding naturally emerges in deep networks trained on natural images. In our second study\, we develop a mechanistic model of attention and binding that captures core neurobiological phenomena such as selective focus and inhibition of return. Together\, these results suggest a shared computational principle: binding arises from structured interactions between distributed representations\, enabling both brains and machines to form coherent percepts from fragmented sensory data. \nRegister Now
URL:https://seasevents.nmsdev7.com/event/penn-ai-presents-how-brains-and-machines-solve-the-binding-problem/
LOCATION:Amy Gutmann Hall\, Room 414\, 3333 Chestnut Street\, Philadelphia\, 19104\, United States
CATEGORIES:Seminar
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