Published November 2006
| Version public
Journal Article
Modeling attention to salient proto-objects
Creators
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
Identifiers
- Eprint ID
- 40542
- DOI
- 10.1016/j.neunet.2006.10.001
- Resolver ID
- CaltechAUTHORS:20130816-103237497
Related works
- Describes
- 10.1016/j.neunet.2006.10.001 (DOI)
Funding
- NSF Engineering Research Center for Neuromorphic Systems Engineering at Caltech
- NIH
- NIMH
- Keck Foundation
- Sloan-Swartz Pre-doctoral Fellowship
- Beckman Postdoctoral Fellowship
Dates
- Created
-
2008-01-26Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
Caltech Custom Metadata
- Caltech groups
- Koch Laboratory (KLAB)