Literature DB >> 22386314

Predictive properties of visual adaptation.

Adrien Chopin1, Pascal Mamassian.   

Abstract

What humans perceive depends in part on what they have previously experienced. After repeated exposure to one stimulus, adaptation takes place in the form of a negative correlation between the current percept and the last displayed stimuli. Previous work has shown that this negative dependence can extend to a few minutes in the past, but the precise extent and nature of the dependence in vision is still unknown. In two experiments based on orientation judgments, we reveal a positive dependence of a visual percept with stimuli presented remotely in the past, unexpectedly and in contrast to what is known for the recent past. Previous theories of adaptation have postulated that the visual system attempts to calibrate itself relative to an ideal norm or to the recent past. We propose instead that the remote past is used to estimate the world's statistics and that this estimate becomes the reference. According to this new framework, adaptation is predictive: the most likely forthcoming percept is the one that helps the statistics of the most recent percepts match that of the remote past.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22386314     DOI: 10.1016/j.cub.2012.02.021

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  48 in total

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Authors:  Guido Marco Cicchini; Giovanni Anobile; David C Burr
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-12       Impact factor: 11.205

9.  Contour inflections are adaptable features.

Authors:  Jason Bell; Sinthujaa Sampasivam; David P McGovern; Andrew Isaac Meso; Frederick A A Kingdom
Journal:  J Vis       Date:  2014-06-03       Impact factor: 2.240

10.  Varying Timescales of Stimulus Integration Unite Neural Adaptation and Prototype Formation.

Authors:  Marcelo G Mattar; David A Kahn; Sharon L Thompson-Schill; Geoffrey K Aguirre
Journal:  Curr Biol       Date:  2016-06-16       Impact factor: 10.834

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