ID | 66145 |
フルテキストURL | |
著者 |
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
|
抄録 | 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. |
キーワード | continuous attended sensory input
perceptual learning
tactile angle discriminability
tactile generalization
working memory training
|
発行日 | 2022-05-09
|
出版物タイトル |
Journal of Neurophysiology
|
巻 | 127巻
|
号 | 5号
|
出版者 | American Physiological Society
|
開始ページ | 1398
|
終了ページ | 1406
|
ISSN | 0022-3077
|
NCID | AA00703334
|
資料タイプ |
学術雑誌論文
|
言語 |
英語
|
OAI-PMH Set |
岡山大学
|
著作権者 | © 2022 The Authors
|
論文のバージョン | publisher
|
PubMed ID | |
DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.1152/jn.00529.2021
|
ライセンス | http://creativecommons.org/licenses/by/4.0/deed.en_US
|
助成機関名 |
Japan Society for the Promotion of Science
Japan Science and Technology Agency
|
助成番号 | JP18K15339
JP21H05827
JP20K07722
JPMJFR2041
|