Literature DB >> 28532348

Perceptual Learning: Use-Dependent Cortical Plasticity.

Wu Li1,2.   

Abstract

Our perceptual abilities significantly improve with practice. This phenomenon, known as perceptual learning, offers an ideal window for understanding use-dependent changes in the adult brain. Different experimental approaches have revealed a diversity of behavioral and cortical changes associated with perceptual learning, and different interpretations have been given with respect to the cortical loci and neural processes responsible for the learning. Accumulated evidence has begun to put together a coherent picture of the neural substrates underlying perceptual learning. The emerging view is that perceptual learning results from a complex interplay between bottom-up and top-down processes, causing a global reorganization across cortical areas specialized for sensory processing, engaged in top-down attentional control, and involved in perceptual decision making. Future studies should focus on the interactions among cortical areas for a better understanding of the general rules and mechanisms underlying various forms of skill learning.

Keywords:  cortical plasticity; learning specificity; learning transfer; perceptual learning; top-down influence; visual cortex

Mesh:

Year:  2016        PMID: 28532348     DOI: 10.1146/annurev-vision-111815-114351

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  9 in total

1.  Boosting Learning Efficacy with Noninvasive Brain Stimulation in Intact and Brain-Damaged Humans.

Authors:  Florian Herpich; Michael D Melnick; Sara Agosta; Krystel R Huxlin; Duje Tadin; Lorella Battelli
Journal:  J Neurosci       Date:  2019-05-27       Impact factor: 6.167

2.  Category-Induced Transfer of Visual Perceptual Learning.

Authors:  Qingleng Tan; Zhiyan Wang; Yuka Sasaki; Takeo Watanabe
Journal:  Curr Biol       Date:  2019-03-28       Impact factor: 10.834

3.  Perceptual learning while preparing saccades.

Authors:  Martin Rolfs; Nicholas Murray-Smith; Marisa Carrasco
Journal:  Vision Res       Date:  2018-01-02       Impact factor: 1.886

4.  Learned low priority of attention after training to suppress color singleton distractor.

Authors:  Zhibang Huang; Sheng Li
Journal:  Atten Percept Psychophys       Date:  2022-09-29       Impact factor: 2.157

5.  Speech in noise perception improved by training fine auditory discrimination: far and applicable transfer of perceptual learning.

Authors:  Xiang Gao; Tingting Yan; Ting Huang; Xiaoli Li; Yu-Xuan Zhang
Journal:  Sci Rep       Date:  2020-11-09       Impact factor: 4.379

Review 6.  Plasticity in perception: insights from color vision deficiencies.

Authors:  Zoey J Isherwood; Daniel S Joyce; Mohana Kuppuswamy Parthasarathy; Michael A Webster
Journal:  Fac Rev       Date:  2020-11-13

7.  Visual perceptual learning generalizes to untrained effectors.

Authors:  Asmara Awada; Shahab Bakhtiari; Christopher C Pack
Journal:  J Vis       Date:  2021-03-01       Impact factor: 2.240

8.  Bottom-up saliency and top-down learning in the primary visual cortex of monkeys.

Authors:  Yin Yan; Li Zhaoping; Wu Li
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-25       Impact factor: 11.205

9.  Retained capacity for perceptual learning of degraded speech in primary progressive aphasia and Alzheimer's disease.

Authors:  Chris J D Hardy; Charles R Marshall; Rebecca L Bond; Lucy L Russell; Katrina Dick; Cono Ariti; David L Thomas; Sonya J Ross; Jennifer L Agustus; Sebastian J Crutch; Jonathan D Rohrer; Doris-Eva Bamiou; Jason D Warren
Journal:  Alzheimers Res Ther       Date:  2018-07-25       Impact factor: 6.982

  9 in total

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