Literature DB >> 19520103

Making perceptual learning practical to improve visual functions.

Uri Polat1.   

Abstract

Task-specific improvement in performance after training is well established. The finding that learning is stimulus-specific and does not transfer well between different stimuli, between stimulus locations in the visual field, or between the two eyes has been used to support the notion that neurons or assemblies of neurons are modified at the earliest stage of cortical processing. However, a debate regarding the proposed mechanism underlying perceptual learning is an ongoing issue. Nevertheless, generalization of a trained task to other functions is an important key, for both understanding the neural mechanisms and the practical value of the training. This manuscript describes a structured perceptual learning method that previously used (amblyopia, myopia) and a novel technique and results that were applied for presbyopia. In general, subjects were trained for contrast detection of Gabor targets under lateral masking conditions. Training improved contrast sensitivity and diminished the lateral suppression when it existed (amblyopia). The improvement was transferred to unrelated functions such as visual acuity. The new results of presbyopia show substantial improvement of the spatial and temporal contrast sensitivity, leading to improved processing speed of target detection as well as reaction time. Consequently, the subjects, who were able to eliminate the need for reading glasses, benefited. Thus, here we show that the transfer of functions indicates that the specificity of improvement in the trained task can be generalized by repetitive practice of target detection, covering a sufficient range of spatial frequencies and orientations, leading to an improvement in unrelated visual functions. Thus, perceptual learning can be a practical method to improve visual functions in people with impaired or blurred vision.

Entities:  

Mesh:

Year:  2009        PMID: 19520103     DOI: 10.1016/j.visres.2009.06.005

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


  53 in total

1.  Perceptual learning improves neural processing in myopic vision.

Authors:  Fang-Fang Yan; Jiawei Zhou; Wuxiao Zhao; Min Li; Jie Xi; Zhong-Lin Lu; Chang-Bing Huang
Journal:  J Vis       Date:  2015       Impact factor: 2.240

2.  "Global" visual training and extent of transfer in amblyopic macaque monkeys.

Authors:  Lynne Kiorpes; Paul Mangal
Journal:  J Vis       Date:  2015       Impact factor: 2.240

3.  Broad-based visual benefits from training with an integrated perceptual-learning video game.

Authors:  Jenni Deveau; Gary Lovcik; Aaron R Seitz
Journal:  Vision Res       Date:  2014-01-06       Impact factor: 1.886

4.  The dynamics of practice effects in an optotype acuity task.

Authors:  Sven P Heinrich; Katja Krüger; Michael Bach
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-04-21       Impact factor: 3.117

5.  Dissociable perceptual-learning mechanisms revealed by diffusion-model analysis.

Authors:  Alexander A Petrov; Nicholas M Van Horn; Roger Ratcliff
Journal:  Psychon Bull Rev       Date:  2011-06

6.  Training peripheral vision to read: Boosting the speed of letter processing.

Authors:  Deyue Yu; Gordon E Legge; Gunther Wagoner; Susana T L Chung
Journal:  Vision Res       Date:  2017-07-19       Impact factor: 1.886

Review 7.  Stereopsis and amblyopia: A mini-review.

Authors:  Dennis M Levi; David C Knill; Daphne Bavelier
Journal:  Vision Res       Date:  2015-01-29       Impact factor: 1.886

8.  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

9.  Mechanisms underlying perceptual learning of contrast detection in adults with anisometropic amblyopia.

Authors:  Chang-Bing Huang; Zhong-Lin Lu; Yifeng Zhou
Journal:  J Vis       Date:  2009-10-27       Impact factor: 2.240

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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