A productive, systematic framework for the representation of visual structure

Abstract

We describe a unified framework for the understanding of structure representation in primate vision. A model derived from this framework is shown to be effectively systematic in that it has the ability to interpret and associate together objects that are related through a rearrangement of common “middle-scale” parts, represented as image fragments. The model addresses the same concerns as previous work on compositional representation through the use of what+where receptive fields and attentional gain modulation. It does not require prior exposure to the individual parts, and avoids the need for abstract symbolic binding

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2010-12-22

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Shimon Edelman
Cornell University

References found in this work

Computational theories of object recognition.Shimon Edelman - 1997 - Trends in Cognitive Sciences 1 (8):296-304.

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