Paper Info
Title
A unified model of spatial and object attention based on inter-cortical biased competition
Abstract
We present a physiologically constrained neural dynamical model of the visual system for the organization of attention and its mediation of object recognition and visual search. In this model, spatial and feature attention are mediated by a single neural mechanism involving the interaction of the ventral and the dorsal streams with the early visual cortex. The model consists of three representative modules which encode object classes, spatial locations, and elementary features, respectively. These modules are coupled together in a neural dynamical system in the framework of biased competition. The system can be made to operate in either a spatial or an object attention mode by introducing a top-down bias to either the dorsal or the ventral stream modules. In this system, translation invariant object recognition and object spatial localization arise from the interaction among the modules, with the early visual areas playing a key role in mediating such interaction. (C) 2002 Elsevier Science B.V. All rights reserved.
Year
DOI
Venue
2002
10.1016/S0925-2312(02)00471-X
NEUROCOMPUTING
Keywords
Field
DocType
attention,visual search,V1,extrastriate cortex,neural model
Visual search,Extrastriate cortex,Biased Competition Theory,Artificial intelligence,Unified Model,Computer vision,Pattern recognition,Visual cortex,Object model,Mathematics,Form perception,Machine learning,Cognitive neuroscience of visual object recognition
Journal
Volume
ISSN
Citations 
44
0925-2312
13
PageRank 
References 
Authors
1.61
0
2
Name
Order
Citations
PageRank
Gustavo Deco11004156.20
Tai Sing Lee279488.73