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| Research Progress on Computational Modeling and Mechanisms of Information Integration in Athlete Action Anticipation |
1. School of Media and Communication, Shanghai Jiao Tong University, Shanghai 200240, China
2. School of Psychology, Shanghai University of Sport, Shanghai 200438, China;
3. Key Laboratory of Sports Cognition Assessment and Regulation of the General Administration of Sport of China, Shanghai 200438, China |
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Abstract Elite athletes need to integrate contextual prior information with kinematic information to make accurate action anticipation. This paper reviews research on action anticipation based on the information integration model and its neural mechanisms. Results indicate that athletes adjust the weight of each information source's contribution to action anticipation based on its reliability. The partially observable Markov decision process model provides a mathematical framework for estimating the weight athletes assign to different information sources during action anticipation. Furthermore, the brain processes involved in integrating these information sources during action anticipation require further exploration. We hypothesize that CNV amplitude, theta oscillations, pMTG and DLPFC activation are key neural signals.
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Published: 23 October 2024
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| Cite this article: |
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DING Rui,HUANG Yujing,WANG Danlei, et al. Research Progress on Computational Modeling and Mechanisms of Information Integration in Athlete Action Anticipation[J]. 应用心理学, 0, (): 1-.
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| URL: |
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http://www.appliedpsy.cn/EN/Y0/V/I/1 |
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