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A Computational Perspective on Visual Attention$
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John K. Tsotsos

Print publication date: 2011

Print ISBN-13: 9780262015417

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262015417.001.0001

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Theories and Models of Visual Attention

Theories and Models of Visual Attention

Chapter:
(p.53) 3 Theories and Models of Visual Attention
Source:
A Computational Perspective on Visual Attention
Author(s):

John K. Tsotsos

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262015417.003.0003

This chapter focuses on the theories and models that play a key role in determining and computing visual attention. Several key fundamental components play a significant role in visual attention. Some of these components include normal memory, competitive selection, and identification of stimuli that are important for such behavioral patterns. One of the models on visual attention reveals that different senses are filtered in the form of neural representations for competitive selection of those components which are vital for visual attention. The Real Neural Architecture model also integrates different operational modes detected in cognitive models of attention required for such a visual search.

Keywords:   visual attention, competitive selection, normal memory, stimuli, components

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