Literature DB >> 19716377

Decoupling location specificity from perceptual learning of orientation discrimination.

Ting Zhang1, Lu-Qi Xiao, Stanley A Klein, Dennis M Levi, Cong Yu.   

Abstract

Perceptual learning of orientation discrimination is reported to be precisely specific to the trained retinal location. This specificity is often taken as evidence for localizing the site of orientation learning to retinotopic cortical areas V1/V2. However, the extant physiological evidence for training improved orientation turning in V1/V2 neurons is controversial and weak. Here we demonstrate substantial transfer of orientation learning across retinal locations, either from the fovea to the periphery or amongst peripheral locations. Most importantly, we found that a brief pretest at a peripheral location before foveal training enabled complete transfer of learning, so that additional practice at that peripheral location resulted in no further improvement. These results indicate that location specificity in orientation learning depends on the particular training procedures, and is not necessarily a genuine property of orientation learning. We suggest that non-retinotopic high brain areas may be responsible for orientation learning, consistent with the extant neurophysiological data. Copyright 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 19716377     DOI: 10.1016/j.visres.2009.08.024

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  47 in total

1.  Rule-based learning explains visual perceptual learning and its specificity and transfer.

Authors:  Jun-Yun Zhang; Gong-Liang Zhang; Lu-Qi Xiao; Stanley A Klein; Dennis M Levi; Cong Yu
Journal:  J Neurosci       Date:  2010-09-15       Impact factor: 6.167

2.  Exogenous attention facilitates location transfer of perceptual learning.

Authors:  Ian Donovan; Sarit Szpiro; Marisa Carrasco
Journal:  J Vis       Date:  2015       Impact factor: 2.240

3.  Confidence-based integrated reweighting model of task-difficulty explains location-based specificity in perceptual learning.

Authors:  Bharath Chandra Talluri; Shao-Chin Hung; Aaron R Seitz; Peggy Seriès
Journal:  J Vis       Date:  2015       Impact factor: 2.240

4.  Further support for the importance of the suppressive signal (pull) during the push-pull perceptual training.

Authors:  Jingping P Xu; Zijiang J He; Teng Leng Ooi
Journal:  Vision Res       Date:  2012-01-18       Impact factor: 1.886

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

8.  Vernier perceptual learning transfers to completely untrained retinal locations after double training: a "piggybacking" effect.

Authors:  Rui Wang; Jun-Yun Zhang; Stanley A Klein; Dennis M Levi; Cong Yu
Journal:  J Vis       Date:  2014-11-14       Impact factor: 2.240

9.  Specificity of perceptual learning increases with increased training.

Authors:  Pamela E Jeter; Barbara Anne Dosher; Shiau-Hua Liu; Zhong-Lin Lu
Journal:  Vision Res       Date:  2010-07-16       Impact factor: 1.886

10.  Spatial frequency discrimination learning in normal and developmentally impaired human vision.

Authors:  Andrew T Astle; Ben S Webb; Paul V McGraw
Journal:  Vision Res       Date:  2010-09-09       Impact factor: 1.886

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