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Published November 2006 | public
Journal Article

Modeling attention to salient proto-objects

Abstract

Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objects before they are recognized? In coherence theory of visual cognition, so-called proto-objects form volatile units of visual information that can be accessed by selective attention and subsequently validated as actual objects. We propose a biologically plausible model of forming and attending to proto-objects in natural scenes. We demonstrate that the suggested model can enable a model of object recognition in cortex to expand from recognizing individual objects in isolation to sequentially recognizing all objects in a more complex scene.

Additional Information

Copyright © 2006 Published by Elsevier Ltd. Available online 10 November 2006. Parts of the work presented in this paper originated from collaborations with Laurent Itti, Maximilian Riesenhuber, Tomaso Poggio, Ueli Rutishauser, and Pietro Perona. Funding was provided by the NSF Engineering Research Center for Neuromorphic Systems Engineering at Caltech, by the NIH, the NIMH, the Keck Foundation, a Sloan-Swartz pre-doctoral Fellowship, and a Beckman postdoctoral Fellowship to D.W.

Additional details

Created:
September 15, 2023
Modified:
October 23, 2023