Recent developments in a computational theory of visual attention (TVA)

Claus Bundesen; Signe Allerup Vangkilde; Anders Petersen

doi:10.1016/j.visres.2014.11.005

Recent developments in a computational theory of visual attention (TVA)

Claus Bundesen, Signe Allerup Vangkilde, Anders Petersen

35 Citationer (Scopus)

Abstract

This article reviews the foundations of the theory of visual attention (TVA) and describes recent developments in the theory. TVA is based on the principle of biased competition: All possible visual categorizations ascribing features to objects compete (race) to become encoded into visual short-term memory before it is filled up. Each of the possible categorizations is supported by sensory evidence, but the competition is biased by multiplication with attentional weights (high weights on important objects) and perceptual biases (toward use of important categories). The way sensory evidence and attentional biases interact is specified in the rate and weight equations of TVA, so TVA represents a mathematical formalization of the biased competition principle. In addition to describing TVA as a psychological theory, we present the neural interpretation of TVA, NTVA.

Originalsprog	Engelsk
Tidsskrift	Vision Research
Vol/bind	116
Udgave nummer	Part B
Sider (fra-til)	210-218
Antal sider	9
ISSN	0042-6989
DOI	https://doi.org/10.1016/j.visres.2014.11.005
Status	Udgivet - 1 nov. 2015

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AB - This article reviews the foundations of the theory of visual attention (TVA) and describes recent developments in the theory. TVA is based on the principle of biased competition: All possible visual categorizations ascribing features to objects compete (race) to become encoded into visual short-term memory before it is filled up. Each of the possible categorizations is supported by sensory evidence, but the competition is biased by multiplication with attentional weights (high weights on important objects) and perceptual biases (toward use of important categories). The way sensory evidence and attentional biases interact is specified in the rate and weight equations of TVA, so TVA represents a mathematical formalization of the biased competition principle. In addition to describing TVA as a psychological theory, we present the neural interpretation of TVA, NTVA.

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Recent developments in a computational theory of visual attention (TVA)

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