Literature DB >> 21962714

Practicing coarse orientation discrimination improves orientation signals in macaque cortical area v4.

Hamed Zivari Adab1, Rufin Vogels.   

Abstract

Practice improves the performance in visual tasks, but mechanisms underlying this adult brain plasticity are unclear. Single-cell studies reported no [1], weak [2], or moderate [3, 4] perceptual learning-related changes in macaque visual areas V1 and V4, whereas none were found in middle temporal (MT) [5]. These conflicting results and modeling of human (e.g., [6, 7]) and monkey data [8] suggested that changes in the readout of visual cortical signals underlie perceptual learning, rather than changes in these signals. In the V4 learning studies, monkeys discriminated small differences in orientation, whereas in the MT study, the animals discriminated opponent motion directions. Analogous to the latter study, we trained monkeys to discriminate static orthogonal orientations masked by noise. V4 neurons showed robust increases in their capacity to discriminate the trained orientations during the course of the training. This effect was observed during discrimination and passive fixation but specifically for the trained orientations. The improvement in neural discrimination was due to decreased response variability and an increase of the difference between the mean responses for the two trained orientations. These findings demonstrate that perceptual learning in a coarse discrimination task indeed can change the response properties of a cortical sensory area.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21962714     DOI: 10.1016/j.cub.2011.08.037

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  41 in total

1.  Analysis of stimulus-related activity in rat auditory cortex using complex spectral coefficients.

Authors:  Bryan M Krause; Matthew I Banks
Journal:  J Neurophysiol       Date:  2013-05-08       Impact factor: 2.714

Review 2.  Two-stage model in perceptual learning: toward a unified theory.

Authors:  Kazuhisa Shibata; Dov Sagi; Takeo Watanabe
Journal:  Ann N Y Acad Sci       Date:  2014-04-23       Impact factor: 5.691

3.  Neural Variability Limits Adolescent Skill Learning.

Authors:  Melissa L Caras; Dan H Sanes
Journal:  J Neurosci       Date:  2019-02-12       Impact factor: 6.167

Review 4.  Perceptual learning: toward a comprehensive theory.

Authors:  Takeo Watanabe; Yuka Sasaki
Journal:  Annu Rev Psychol       Date:  2014-09-10       Impact factor: 24.137

5.  Prolonged training at threshold promotes robust retinotopic specificity in perceptual learning.

Authors:  Shao-Chin Hung; Aaron R Seitz
Journal:  J Neurosci       Date:  2014-06-18       Impact factor: 6.167

6.  Perceptual training continuously refines neuronal population codes in primary visual cortex.

Authors:  Yin Yan; Malte J Rasch; Minggui Chen; Xiaoping Xiang; Min Huang; Si Wu; Wu Li
Journal:  Nat Neurosci       Date:  2014-09-07       Impact factor: 24.884

7.  Enhanced attentional gain as a mechanism for generalized perceptual learning in human visual cortex.

Authors:  Anna Byers; John T Serences
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

8.  Perceptual learning modifies the functional specializations of visual cortical areas.

Authors:  Nihong Chen; Peng Cai; Tiangang Zhou; Benjamin Thompson; Fang Fang
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-05       Impact factor: 11.205

9.  Adult visual cortical plasticity.

Authors:  Charles D Gilbert; Wu Li
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

10.  Dopaminergic reward signals selectively decrease fMRI activity in primate visual cortex.

Authors:  John T Arsenault; Koen Nelissen; Bechir Jarraya; Wim Vanduffel
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

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