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Topic: visual concepts

Seminar
1 seminar

In Applied Mathematics and Artificial Intelligence

Seminar · Cognition

Geometry of concept learning

Haim Sompolinsky · The Hebrew University of Jerusalem and Harvard University

Wed, Jan 4, 2023 · 05:00 UTC

Understanding Human ability to learn novel concepts from just a few sensory experiences is a fundamental problem in cognitive neuroscience. I will describe a recent work with Ben Sorcher and Surya Ganguli (PNAS, October 2022) in which we propose a simple, biologically plausible, and mathematically tractable neural mechanism for few-shot learning of naturalistic concepts. We posit that the concepts that can be learned from few examples are defined by tightly circumscribed manifolds in the neural firing-rate space of higher-order sensory areas. Discrimination between novel concepts is performed