Publication Type

Conference Proceeding Article

Version

Postprint

Publication Date

1-2001

Abstract

To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images with tight control exerted over (1) the conditional probabilities of the constituent fragments, and (2) the value of Barlow's criterion of "suspicious coincidence" (the ratio of joint probability to the product of marginals). We then compared the part verification response times for various probe/target combinations before and after the exposure. For composite probes, the speedup was much larger for targets that contained pairs of fragments perfectly predictive of each other, compared to those that did not. This effect was modulated by the significance of their co-occurrence as estimated by Barlow's criterion. For lone-fragment probes, the speedup in all conditions was generally lower than for composites. These results shed light on the brain's strategies for unsupervised acquisition of structural information in vision.

Keywords

Learning, modeling, visual struction, structural information, brain

Discipline

Cognition and Perception

Research Areas

Psychology

Publication

Advances in Neural Information Processing Systems 14 (NIPS 2001): Proceedings of the 2001 Conference

Volume

14

First Page

19

Last Page

26

ISBN

9780262042062

Publisher

MIT Press

City or Country

Cambridge, MA

Additional URL

http://books.nips.cc/papers/files/nips14/CS03.pdf

Comments

Paper presented at Neural Information Processing Systems 2001

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