Literature DB >> 9405509

Perceptual learning of spatial localization: specificity for orientation, position, and context.

R E Crist1, M K Kapadia, G Westheimer, C D Gilbert.   

Abstract

Discrimination of simple visual attributes can improve significantly with practice. We have trained human observers to perform peripherally presented tasks involving the localization of short line segments and examined the specificity of the learning for the visual location, orientation, and geometric arrangement of the trained stimulus. Several weeks of training resulted in dramatic threshold reductions. The learning was specific for the orientation and location of the trained stimulus, indicating the involvement of the earliest cortical stages in the visual pathway where the orientation and location of stimuli are mapped with highest resolution. Furthermore, improvement was also specific for both the configuration of the trained stimulus and the attribute of the stimulus that was under scrutiny during training. This degree of specificity suggests that the learning cannot be achieved by cortical recruitment alone, as proposed in current models, but is likely to involve a refinement of lateral interactions within the cortex and possibly a gating of lower level changes by attentional mechanisms.

Entities:  

Mesh:

Year:  1997        PMID: 9405509     DOI: 10.1152/jn.1997.78.6.2889

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  87 in total

1.  Shifts in cortical representations predict human discrimination improvement.

Authors:  B Pleger; H R Dinse; P Ragert; P Schwenkreis; J P Malin; M Tegenthoff
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-02       Impact factor: 11.205

2.  Temporal specificity of perceptual learning in an auditory discrimination task.

Authors:  Uma R Karmarkar; Dean V Buonomano
Journal:  Learn Mem       Date:  2003 Mar-Apr       Impact factor: 2.460

3.  Neural correlates of perceptual learning: a functional MRI study of visual texture discrimination.

Authors:  Sophie Schwartz; Pierre Maquet; Chris Frith
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-21       Impact factor: 11.205

4.  Perceptual learning and top-down influences in primary visual cortex.

Authors:  Wu Li; Valentin Piëch; Charles D Gilbert
Journal:  Nat Neurosci       Date:  2004-05-23       Impact factor: 24.884

5.  Perceptual learning beyond retinotopic reference frame.

Authors:  En Zhang; Wu Li
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-23       Impact factor: 11.205

6.  Exogenous attention facilitates location transfer of perceptual learning.

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

7.  Enhancing speech learning by combining task practice with periods of stimulus exposure without practice.

Authors:  Beverly A Wright; Melissa M Baese-Berk; Nicole Marrone; Ann R Bradlow
Journal:  J Acoust Soc Am       Date:  2015-08       Impact factor: 1.840

8.  Perceptual learning of line orientation modifies the effects of transcranial magnetic stimulation of visual cortex.

Authors:  K Neary; S Anand; J R Hotson
Journal:  Exp Brain Res       Date:  2004-12-02       Impact factor: 1.972

Review 9.  Neural networks and perceptual learning.

Authors:  Misha Tsodyks; Charles Gilbert
Journal:  Nature       Date:  2004-10-14       Impact factor: 49.962

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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