Literature DB >> 19757940

Task precision at transfer determines specificity of perceptual learning.

Pamela E Jeter1, Barbara Anne Dosher, Alexander Petrov, Zhong-Lin Lu.   

Abstract

Perceptual learning, the improvement in performance with practice, reflects plasticity in the adult visual system. We challenge a standard claim that specificity of perceptual learning depends on task difficulty during training, instead showing that specificity, or conversely transfer, is primarily controlled by the precision demands (i.e., orientation difference) of the transfer task. Thus, for an orientation discrimination task, transfer of performance improvement is observed in low-precision transfer tasks, while specificity of performance improvement is observed in high-precision transfer tasks, regardless of the precision of initial training. The nature of specificity places important constraints on mechanisms of transfer in visual learning. These results contribute to understanding generalization of practiced improvements that may be key to the development of expertise and for applications in remediation.

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Year:  2009        PMID: 19757940      PMCID: PMC4964592          DOI: 10.1167/9.3.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  31 in total

1.  Mechanisms of generalization in perceptual learning.

Authors:  Z Liu; D Weinshall
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

2.  The power law repealed: the case for an exponential law of practice.

Authors:  A Heathcote; S Brown; D J Mewhort
Journal:  Psychon Bull Rev       Date:  2000-06

3.  Compulsory averaging of crowded orientation signals in human vision.

Authors:  L Parkes; J Lund; A Angelucci; J A Solomon; M Morgan
Journal:  Nat Neurosci       Date:  2001-07       Impact factor: 24.884

4.  Greater plasticity in lower-level than higher-level visual motion processing in a passive perceptual learning task.

Authors:  Takeo Watanabe; José E Náñez; Shinichi Koyama; Ikuko Mukai; Jacqueline Liederman; Yuka Sasaki
Journal:  Nat Neurosci       Date:  2002-10       Impact factor: 24.884

5.  Perceptual learning without feedback in non-stationary contexts: data and model.

Authors:  Alexander A Petrov; Barbara Anne Dosher; Zhong-Lin Lu
Journal:  Vision Res       Date:  2006-05-12       Impact factor: 1.886

6.  Perceptual learning of motion direction discrimination in fovea: separable mechanisms.

Authors:  Zhong-Lin Lu; Wilson Chu; Barbara Anne Dosher
Journal:  Vision Res       Date:  2006-03-09       Impact factor: 1.886

7.  Direction-specific improvement in motion discrimination.

Authors:  K Ball; R Sekuler
Journal:  Vision Res       Date:  1987       Impact factor: 1.886

8.  Abrupt learning and retinal size specificity in illusory-contour perception.

Authors:  N Rubin; K Nakayama; R Shapley
Journal:  Curr Biol       Date:  1997-07-01       Impact factor: 10.834

9.  Human perceptual learning in identifying the oblique orientation: retinotopy, orientation specificity and monocularity.

Authors:  A A Schoups; R Vogels; G A Orban
Journal:  J Physiol       Date:  1995-03-15       Impact factor: 5.182

10.  A specific and enduring improvement in visual motion discrimination.

Authors:  K Ball; R Sekuler
Journal:  Science       Date:  1982-11-12       Impact factor: 47.728

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  81 in total

1.  Task-irrelevant perceptual expertise.

Authors:  Yetta K Wong; Jonathan R Folstein; Isabel Gauthier
Journal:  J Vis       Date:  2011-12-05       Impact factor: 2.240

2.  Tilt aftereffect from orientation discrimination learning.

Authors:  Nihong Chen; Fang Fang
Journal:  Exp Brain Res       Date:  2011-10-14       Impact factor: 1.972

3.  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

4.  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

5.  "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

6.  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

Review 7.  Visual perceptual learning.

Authors:  Zhong-Lin Lu; Tianmiao Hua; Chang-Bing Huang; Yifeng Zhou; Barbara Anne Dosher
Journal:  Neurobiol Learn Mem       Date:  2010-09-24       Impact factor: 2.877

Review 8.  On methodological standards in training and transfer experiments.

Authors:  C Shawn Green; Tilo Strobach; Torsten Schubert
Journal:  Psychol Res       Date:  2013-12-18

9.  An integrated reweighting theory of perceptual learning.

Authors:  Barbara Anne Dosher; Pamela Jeter; Jiajuan Liu; Zhong-Lin Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

10.  Action video games do not improve the speed of information processing in simple perceptual tasks.

Authors:  Don van Ravenzwaaij; Wouter Boekel; Birte U Forstmann; Roger Ratcliff; Eric-Jan Wagenmakers
Journal:  J Exp Psychol Gen       Date:  2014-06-16
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