Literature DB >> 19665036

Interference and feature specificity in visual perceptual learning.

Yuko Yotsumoto1, Li-Hung Chang, Takeo Watanabe, Yuka Sasaki.   

Abstract

Perceptual learning (PL) often shows specificity to a trained feature. We investigated whether feature specificity is related to disruption in PL using the texture discrimination task (TDT), which shows learning specificity to background element but not to target element. Learning was disrupted when orientations of background elements were changed in two successive training sessions (interference) but not in a random order from trial to trial (roving). The presentation of target elements seemed to have reversed effect; learning occurred in two-parts training but not with roving. These results suggest that interference in TDT is feature specific while disruption by roving is not.

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Year:  2009        PMID: 19665036      PMCID: PMC2764795          DOI: 10.1016/j.visres.2009.08.001

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


  42 in total

1.  Early consolidation in human primary motor cortex.

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Journal:  Nature       Date:  2002-01-23       Impact factor: 49.962

2.  Practising orientation identification improves orientation coding in V1 neurons.

Authors:  A Schoups; R Vogels; N Qian; G Orban
Journal:  Nature       Date:  2001-08-02       Impact factor: 49.962

3.  Perceptual learning of luminance contrast detection: specific for spatial frequency and retinal location but not orientation.

Authors:  Paul T Sowden; David Rose; Ian R L Davies
Journal:  Vision Res       Date:  2002-05       Impact factor: 1.886

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 and roving: Stimulus types and overlapping neural populations.

Authors:  Elisa M Tartaglia; Kristoffer C Aberg; Michael H Herzog
Journal:  Vision Res       Date:  2009-03-01       Impact factor: 1.886

6.  Different dynamics of performance and brain activation in the time course of perceptual learning.

Authors:  Yuko Yotsumoto; Takeo Watanabe; Yuka Sasaki
Journal:  Neuron       Date:  2008-03-27       Impact factor: 17.173

7.  Consolidation patterns of human motor memory.

Authors:  Sarah E Criscimagna-Hemminger; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-09-24       Impact factor: 6.167

8.  Practice with sleep makes perfect: sleep-dependent motor skill learning.

Authors:  Matthew P Walker; Tiffany Brakefield; Alexandra Morgan; J Allan Hobson; Robert Stickgold
Journal:  Neuron       Date:  2002-07-03       Impact factor: 17.173

9.  The restorative effect of naps on perceptual deterioration.

Authors:  Sara C Mednick; Ken Nakayama; Jose L Cantero; Mercedes Atienza; Alicia A Levin; Neha Pathak; Robert Stickgold
Journal:  Nat Neurosci       Date:  2002-07       Impact factor: 24.884

10.  Defining a link between perceptual learning and attention.

Authors:  Yuko Yotsumoto; Takeo Watanabe
Journal:  PLoS Biol       Date:  2008-08-26       Impact factor: 8.029

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  26 in total

1.  Further support for the importance of the suppressive signal (pull) during the push-pull perceptual training.

Authors:  Jingping P Xu; Zijiang J He; Teng Leng Ooi
Journal:  Vision Res       Date:  2012-01-18       Impact factor: 1.886

2.  Learning one task by interleaving practice with another task.

Authors:  Sarit F A Szpiro; Beverly A Wright; Marisa Carrasco
Journal:  Vision Res       Date:  2014-06-21       Impact factor: 1.886

3.  Mechanistic determinants of effector-independent motor memory encoding.

Authors:  Adarsh Kumar; Gaurav Panthi; Rechu Divakar; Pratik K Mutha
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-09       Impact factor: 11.205

4.  Reward does not facilitate visual perceptual learning until sleep occurs.

Authors:  Masako Tamaki; Aaron V Berard; Tyler Barnes-Diana; Jesse Siegel; Takeo Watanabe; Yuka Sasaki
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-31       Impact factor: 11.205

5.  Reduction in the retinotopic early visual cortex with normal aging and magnitude of perceptual learning.

Authors:  Li-Hung Chang; Yuko Yotsumoto; David H Salat; George J Andersen; Takeo Watanabe; Yuka Sasaki
Journal:  Neurobiol Aging       Date:  2014-08-27       Impact factor: 4.673

6.  REM sleep rescues learning from interference.

Authors:  Elizabeth A McDevitt; Katherine A Duggan; Sara C Mednick
Journal:  Neurobiol Learn Mem       Date:  2014-12-11       Impact factor: 2.877

Review 7.  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

Review 8.  Common mechanisms of human perceptual and motor learning.

Authors:  Nitzan Censor; Dov Sagi; Leonardo G Cohen
Journal:  Nat Rev Neurosci       Date:  2012-09       Impact factor: 34.870

9.  Sleep and native language interference affect non-native speech sound learning.

Authors:  F Sayako Earle; Emily B Myers
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-08-17       Impact factor: 3.332

10.  Does perceptual learning suffer from retrograde interference?

Authors:  Kristoffer C Aberg; Michael H Herzog
Journal:  PLoS One       Date:  2010-12-07       Impact factor: 3.240

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