Literature DB >> 22921366

Generalized perceptual learning in the absence of sensory adaptation.

Hila Harris1, Michael Gliksberg, Dov Sagi.   

Abstract

Repeated performance of visual tasks leads to long-lasting increased sensitivity to the trained stimulus, a phenomenon termed perceptual learning. A ubiquitous property of visual learning is specificity: performance improvement obtained during training applies only for the trained stimulus features, which are thought to be encoded in sensory brain regions [1-3]. However, recent results show performance decrements with an increasing number of trials within a training session [4, 5]. This selective sensitivity reduction is thought to arise due to sensory adaptation [5, 6]. Here we show, using the standard texture discrimination task [7], that location specificity is a consequence of sensory adaptation; that is, it results from selective reduced sensitivity due to repeated stimulation. Observers practiced the texture task with the target presented at a fixed location within a background texture. To remove adaptation, we added task-irrelevant ("dummy") trials with the texture oriented 45° relative to the target's orientation, known to counteract adaptation [8]. The results indicate location specificity with the standard paradigm, but complete generalization to a new location when adaptation is removed. We suggest that adaptation interferes with invariant pattern-discrimination learning by inducing network-dependent changes in local visual representations.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22921366     DOI: 10.1016/j.cub.2012.07.059

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


  43 in total

1.  Rapid and long-lasting reduction of crowding through training.

Authors:  Amit Yashar; Jiageng Chen; Marisa Carrasco
Journal:  J Vis       Date:  2015       Impact factor: 2.240

2.  Category-Induced Transfer of Visual Perceptual Learning.

Authors:  Qingleng Tan; Zhiyan Wang; Yuka Sasaki; Takeo Watanabe
Journal:  Curr Biol       Date:  2019-03-28       Impact factor: 10.834

Review 3.  Generalization of perceptual and motor learning: a causal link with memory encoding and consolidation?

Authors:  N Censor
Journal:  Neuroscience       Date:  2013-07-12       Impact factor: 3.590

4.  Learning efficient visual search for stimuli containing diagnostic spatial configurations and color-shape conjunctions.

Authors:  Eric A Reavis; Sebastian M Frank; Peter U Tse
Journal:  Atten Percept Psychophys       Date:  2018-07       Impact factor: 2.199

5.  Deep Neural Networks for Modeling Visual Perceptual Learning.

Authors:  Li K Wenliang; Aaron R Seitz
Journal:  J Neurosci       Date:  2018-05-23       Impact factor: 6.167

6.  Learning one task by interleaving practice with another task.

Authors:  Sarit F A Szpiro; Beverly A Wright; Marisa Carrasco
Journal:  Vision Res       Date:  2014-06-21       Impact factor: 1.886

Review 7.  Two-stage model in perceptual learning: toward a unified theory.

Authors:  Kazuhisa Shibata; Dov Sagi; Takeo Watanabe
Journal:  Ann N Y Acad Sci       Date:  2014-04-23       Impact factor: 5.691

Review 8.  Robust speech perception: recognize the familiar, generalize to the similar, and adapt to the novel.

Authors:  Dave F Kleinschmidt; T Florian Jaeger
Journal:  Psychol Rev       Date:  2015-04       Impact factor: 8.934

Review 9.  Perceptual learning: toward a comprehensive theory.

Authors:  Takeo Watanabe; Yuka Sasaki
Journal:  Annu Rev Psychol       Date:  2014-09-10       Impact factor: 24.137

Review 10.  Common mechanisms of human perceptual and motor learning.

Authors:  Nitzan Censor; Dov Sagi; Leonardo G Cohen
Journal:  Nat Rev Neurosci       Date:  2012-09       Impact factor: 34.870

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