Literature DB >> 10615491

Mechanisms of perceptual learning.

B A Dosher1, Z L Lu.   

Abstract

Systematic measurements of perceptual learning were performed in the presence of external or stimulus noise. In the new external noise method (Dosher, B, & Lu, Z.-L. (1997). Investigative Ophthalmology and Visual Science, 38, S687; Lu, Z.-L., & Dosher, B. (1998). Vision Research, 38, 1183-1198), increasing amounts of external noise (white Gaussian random noise) is added to the visual stimulus in order to identify mechanisms of perceptual learning. Performance improved (threshold contrast was reduced) over days of practice on a peripheral orientation discrimination task--labelling Gabor patches as tilted slightly to the right or left. Practice improvements were largely specific to the trained quadrant of the display. Performance improved at all levels of external noise. The external noise method and perceptual template model (PTM) of the observer identifies the mechanism(s) of performance improvements as due to stimulus enhancement, external noise exclusion, or internal noise suppression. The external noise method was further extended by measuring thresholds at two threshold performance levels, allowing identification of mixtures in the PTM model. Perceptual learning over 8-10 days improved the filtering or exclusion of external noise by a factor of two or more, and improved suppression of additive internal noise--equivalent to stimulus enhancement--by 50% or more. Coupled improvements in external noise exclusion and stimulus enhancement in the PTM model may reflect channel weighting. Perceptual learning may not reflect neural plasticity at the level of basic visual channels, nor cognitive adjustments of strategy, but rather plasticity at an intermediate level of weighting inputs to decision.

Entities:  

Mesh:

Year:  1999        PMID: 10615491     DOI: 10.1016/s0042-6989(99)00059-0

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


  124 in total

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2.  MECHANISMS OF PERCEPTUAL LEARNING.

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

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4.  Visual recovery in cortical blindness is limited by high internal noise.

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5.  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

6.  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

7.  Origin of information-limiting noise correlations.

Authors:  Ingmar Kanitscheider; Ruben Coen-Cagli; Alexandre Pouget
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-30       Impact factor: 11.205

8.  Fine discrimination training alters the causal contribution of macaque area MT to depth perception.

Authors:  Syed A Chowdhury; Gregory C DeAngelis
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9.  The role of judgment frames and task precision in object attention: Reduced template sharpness limits dual-object performance.

Authors:  Shiau-Hua Liu; Barbara Anne Dosher; Zhong-Lin Lu
Journal:  Vision Res       Date:  2008-10-14       Impact factor: 1.886

Review 10.  Advances in visual perceptual learning and plasticity.

Authors:  Yuka Sasaki; Jose E Nanez; Takeo Watanabe
Journal:  Nat Rev Neurosci       Date:  2009-12-02       Impact factor: 34.870

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