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
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.
丁蕊，黄钰晶，王丹蕾，周成林，栾梦恺. 运动员动作预期的信息整合计算建模及机理研究进展[J]. 应用心理学, 0, (): 1-.
DING Rui，HUANG Yujing，WANG Danlei，ZHOU Chenglin，LUAN Mengkai. Research Progress on Computational Modeling and Mechanisms of Information Integration in Athlete Action Anticipation. 应用心理学, 0, (): 1-.
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