Literature DB >> 20974167

Perceptual learning in Vision Research.

Dov Sagi1.   

Abstract

Reports published in Vision Research during the late years of the 20th century described surprising effects of long-term sensitivity improvement with some basic visual tasks as a result of training. These improvements, found in adult human observers, were highly specific to simple visual features, such as location in the visual field, spatial-frequency, local and global orientation, and in some cases even the eye of origin. The results were interpreted as arising from the plasticity of sensory brain regions that display those features of specificity within their constituting neuronal subpopulations. A new view of the visual cortex has emerged, according to which a degree of plasticity is retained at adult age, allowing flexibility in acquiring new visual skills when the need arises. Although this "sensory plasticity" interpretation is often questioned, it is commonly believed that learning has access to detailed low-level visual representations residing within the visual cortex. More recent studies during the last decade revealed the conditions needed for learning and the conditions under which learning can be generalized across stimuli and tasks. The results are consistent with an account of perceptual learning according to which visual processing is remodeled by the brain, utilizing sensory information acquired during task performance. The stability of the visual system is viewed as an adaptation to a stable environment and instances of perceptual learning as a reaction of the brain to abrupt changes in the environment. Training on a restricted stimulus set may lead to perceptual overfitting and over-specificity. The systemic methodology developed for perceptual learning, and the accumulated knowledge, allows us to explore issues related to learning and memory in general, such as learning rules, reinforcement, memory consolidation, and neural rehabilitation. A persistent open question is the neuro-anatomical substrate underlying these learning effects.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20974167     DOI: 10.1016/j.visres.2010.10.019

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


  150 in total

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3.  Alpha-band EEG activity in perceptual learning.

Authors:  Brett C Bays; Kristina M Visscher; Christophe C Le Dantec; Aaron R Seitz
Journal:  J Vis       Date:  2015       Impact factor: 2.240

4.  Augmented Hebbian reweighting accounts for accuracy and induced bias in perceptual learning with reverse feedback.

Authors:  Jiajuan Liu; Barbara Anne Dosher; Zhong-Lin Lu
Journal:  J Vis       Date:  2015       Impact factor: 2.240

5.  Exogenous attention facilitates location transfer of perceptual learning.

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

6.  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

7.  "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

8.  Boosting Learning Efficacy with Noninvasive Brain Stimulation in Intact and Brain-Damaged Humans.

Authors:  Florian Herpich; Michael D Melnick; Sara Agosta; Krystel R Huxlin; Duje Tadin; Lorella Battelli
Journal:  J Neurosci       Date:  2019-05-27       Impact factor: 6.167

9.  Improved vision and on-field performance in baseball through perceptual learning.

Authors:  Jenni Deveau; Daniel J Ozer; Aaron R Seitz
Journal:  Curr Biol       Date:  2014-02-17       Impact factor: 10.834

10.  A dichoptic custom-made action video game as a treatment for adult amblyopia.

Authors:  Indu Vedamurthy; Mor Nahum; Samuel J Huang; Frank Zheng; Jessica Bayliss; Daphne Bavelier; Dennis M Levi
Journal:  Vision Res       Date:  2015-04-24       Impact factor: 1.886

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