Literature DB >> 18367078

Perceptual learning and dynamic changes in primary visual cortex.

David Carmel1, Marisa Carrasco.   

Abstract

Perceptual learning is the improved performance that follows practice in a perceptual task. In this issue of Neuron, Yotsumoto et al. use fMRI to show that stimuli presented at the location used in training initially evoke greater activation in primary visual cortex than stimuli presented elsewhere, but this difference disappears once learning asymptotes.

Mesh：

Year:  2008        PMID： 18367078      PMCID： PMC3825513          DOI： 10.1016/j.neuron.2008.03.009

Source DB:  PubMed          Journal:  Neuron        ISSN： 0896-6273            Impact factor:   17.173


  12 in total

1.  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

2.  Learning to see: experience and attention in primary visual cortex.

Authors:  R E Crist; W Li; C D Gilbert
Journal:  Nat Neurosci       Date:  2001-05       Impact factor: 24.884

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.  Learning strengthens the response of primary visual cortex to simple patterns.

Authors:  Christopher S Furmanski; Denis Schluppeck; Stephen A Engel
Journal:  Curr Biol       Date:  2004-04-06       Impact factor: 10.834

5.  Where practice makes perfect in texture discrimination: evidence for primary visual cortex plasticity.

Authors:  A Karni; D Sagi
Journal:  Proc Natl Acad Sci U S A       Date:  1991-06-01       Impact factor: 11.205

Review 6.  A unified model for perceptual learning.

Authors:  Aaron Seitz; Takeo Watanabe
Journal:  Trends Cogn Sci       Date:  2005-07       Impact factor: 20.229

7.  Top-down reorganization of activity in the visual pathway after learning a shape identification task.

Authors:  Mariano Sigman; Hong Pan; Yihong Yang; Emily Stern; David Silbersweig; Charles D Gilbert
Journal:  Neuron       Date:  2005-06-02       Impact factor: 17.173

8.  Activations in visual and attention-related areas predict and correlate with the degree of perceptual learning.

Authors:  Ikuko Mukai; David Kim; Masaki Fukunaga; Shruti Japee; Sean Marrett; Leslie G Ungerleider
Journal:  J Neurosci       Date:  2007-10-17       Impact factor: 6.167

9.  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

10.  Neuronal mechanisms of perceptual learning: changes in human brain activity with training in orientation discrimination.

Authors:  C Schiltz; J M Bodart; S Dubois; S Dejardin; C Michel; A Roucoux; M Crommelinck; G A Orban
Journal:  Neuroimage       Date:  1999-01       Impact factor: 6.556
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  10 in total

1.  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

2.  Perceptual learning modifies untrained pursuit eye movements.

Authors:  Sarit F A Szpiro; Miriam Spering; Marisa Carrasco
Journal:  J Vis       Date:  2014-07-07       Impact factor: 2.240

3.  Age-related declines of stability in visual perceptual learning.

Authors:  Li-Hung Chang; Kazuhisa Shibata; George J Andersen; Yuka Sasaki; Takeo Watanabe
Journal:  Curr Biol       Date:  2014-11-26       Impact factor: 10.834

4.  Electrophysiological correlates of learning-induced modulation of visual motion processing in humans.

Authors:  Viktor Gál; István Kóbor; Eva M Bankó; Lajos R Kozák; John T Serences; Zoltán Vidnyánszky
Journal:  Front Hum Neurosci       Date:  2010-01-06       Impact factor: 3.169

5.  Cognitive demands of lower paleolithic toolmaking.

Authors:  Dietrich Stout; Erin Hecht; Nada Khreisheh; Bruce Bradley; Thierry Chaminade
Journal:  PLoS One       Date:  2015-04-15       Impact factor: 3.240

6.  A Mouse Model of Visual Perceptual Learning Reveals Alterations in Neuronal Coding and Dendritic Spine Density in the Visual Cortex.

Authors:  Yan Wang; Wei Wu; Xian Zhang; Xu Hu; Yue Li; Shihao Lou; Xiao Ma; Xu An; Hui Liu; Jing Peng; Danyi Ma; Yifeng Zhou; Yupeng Yang
Journal:  Front Behav Neurosci       Date:  2016-03-10       Impact factor: 3.558

7.  Tactile-to-Visual Cross-Modal Transfer of Texture Categorisation Following Training: An fMRI Study.

Authors:  Georgia O'Callaghan; Alan O'Dowd; Cristina Simões-Franklin; John Stapleton; Fiona N Newell
Journal:  Front Integr Neurosci       Date:  2018-06-07

8.  Feature-based attention enables robust, long-lasting location transfer in human perceptual learning.

Authors:  Shao-Chin Hung; Marisa Carrasco
Journal:  Sci Rep       Date:  2021-07-06       Impact factor: 4.379

Review 9.  The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models.

Authors:  Rodrigo Sigala; Sebastian Haufe; Dipanjan Roy; Hubert R Dinse; Petra Ritter
Journal:  Front Comput Neurosci       Date:  2014-04-04       Impact factor: 2.380

10.  Repetitive Transcranial Direct Current Stimulation Induced Excitability Changes of Primary Visual Cortex and Visual Learning Effects-A Pilot Study.

Authors:  Matthias Sczesny-Kaiser; Katharina Beckhaus; Hubert R Dinse; Peter Schwenkreis; Martin Tegenthoff; Oliver Höffken
Journal:  Front Behav Neurosci       Date:  2016-06-03       Impact factor: 3.558
  10 in total

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