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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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Selective Tuning: Formulation

Selective Tuning: Formulation

Chapter:
(p.97) 5 Selective Tuning: Formulation
Source:
A Computational Perspective on Visual Attention
Author(s):

John K. Tsotsos

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262015417.003.0005

This chapter focuses on some of the significant formulations that form the foundation of Selective Tuning (ST) in visual attention. The most significant element of the ST model is the layered structure, which has played a key role in connecting and receiving information from neurons for visual attention. A number of distinct lattices are defined and used in the formulations that were developed for explaining the ST model of visual attention. The formulations demonstrate the lack of any set of rules in the visual system and the uniqueness of information conversion from one layer to another layer. They are also based on the assumption that the sheets and the neural receptive fields remain square, conserving generality in tasks involving visual attention.

Keywords:   formulations, visual attention, lattices, neurons, information conversion

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