PERCEPTUAL REVERSAL GUIDED BY INTEGRATION BETWEEN BOTTOM-UP INPUT AND TOP-DOWN FEEDBACK OVER TIME COURSE

A computational model of perceptual reversal alternating between two interpretations is presented. Initially, the model represents the ambiguous state of a reversible picture, such as the bistable face-vase image. The internal state of the network evolves to settle into a stable state, which corresp...

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Bibliographic Details
Published inPSYCHOLOGIA Vol. 57; no. 1; pp. 12 - 30
Main Author LEE, KangWoo
Format Journal Article
LanguageEnglish
Published Psychologia Society 2014
Subjects
Figure-ground
Multi-stability
Perceptual reversal
Top-down feedback
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Summary:A computational model of perceptual reversal alternating between two interpretations is presented. Initially, the model represents the ambiguous state of a reversible picture, such as the bistable face-vase image. The internal state of the network evolves to settle into a stable state, which corresponds to one of two alternatives. Top-down feedback proves a deciding factor in leading the system into a modeled perceptual state over the time course. At any given time, top-down input from temporal associative memory provides contextual modulation of bottom-up input in the network. The model accounts for the role of top-down knowledge in resolving perceptual ambiguity as well as reversibility from one state to another.
ISSN:0033-2852
1347-5916
DOI:10.2117/psysoc.2014.12