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Wang, Wu School of Psychological and Cognitive Sciences, Peking University
Yang, Jiajia Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University ORCID Kaken ID publons researchmap
Yu, Yinghua Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Li, Huazhi Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Liu, Yulong Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Yu, Yiyang Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Yu, Jiabin College of Information Engineering, China Jiliang University
Tang, Xiaoyu School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University
Yang, Jingjing School of Computer Science and Technology, Changchun University of Science and Technology
Takahashi, Satoshi Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University Kaken ID publons researchmap
Ejima, Yoshimichi Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University Kaken ID
Wu, Jinglong Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University ORCID Kaken ID publons researchmap
Abstract
Perceptual learning is commonly assumed to enhance perception through continuous attended sensory input. However, learning is generalizable to performance in untrained stimuli and tasks. Although previous studies have observed a possible generalization effect across tasks as a result of working memory (WM) training, comparisons of the contributions of WM training and continuous attended sensory input to perceptual learning generalization are still rare. Therefore, we compared which factors contributed most to perceptual generalization and investigated which skills acquired during WM training led to tactile generalization across tasks. Here, a Braille-like dot pattern matching n-back WM task was used as the WM training task, with four workload levels (0, 1, 2, and 3-back levels). A tactile angle discrimination (TAD) task was used as a pre- and posttest to assess improvements in tactile perception. Between tests, four subject groups were randomly assigned to four different workload n-back tasks to consecutively complete three sessions of training. The results showed that tactile n-back WM training could enhance TAD performance, with the 3-back training group having the highest TAD threshold improvement rate. Furthermore, the rate of WM capacity improvement on the 3-back level across training sessions was correlated with the rate of TAD threshold improvement. These findings suggest that continuous attended sensory input and enhanced WM capacity can lead to improvements in TAD ability, and that greater improvements in WM capacity can predict greater improvements in TAD performance.
NEW & NOTEWORTHY Perceptual learning is not always specific to the trained task and stimuli. We demonstrate that both continuous attended sensory input and improved WM capacity can be used to enhance tactile angle discrimination (TAD) ability. Moreover, WM capacity improvement is important in generalizing the training effect to the TAD ability. These findings contribute to understanding the mechanism of perceptual learning generalization across tasks.
Keywords
continuous attended sensory input
perceptual learning
tactile angle discriminability
tactile generalization
working memory training
Published Date
2022-05-09
Publication Title
Journal of Neurophysiology
Volume
volume127
Issue
issue5
Publisher
American Physiological Society
Start Page
1398
End Page
1406
ISSN
0022-3077
NCID
AA00703334
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2022 The Authors
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publisher
PubMed ID
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1152/jn.00529.2021
License
http://creativecommons.org/licenses/by/4.0/deed.en_US
Funder Name
Japan Society for the Promotion of Science
Japan Science and Technology Agency
助成番号
JP18K15339
JP21H05827
JP20K07722
JPMJFR2041