运动学习
透视图(图形)
心理学
认知科学
运动技能
认知心理学
神经科学
人工智能
计算机科学
作者
Daniel M. Wolpert,Zoubin Ghahramani,J. Randall Flanagan
标识
DOI:10.1016/s1364-6613(00)01773-3
摘要
Movement provides the only means we have to interact with both the world and other people. Such interactions can be hard-wired or learned through experience with the environment. Learning allows us to adapt to a changing physical environment as well as to novel conventions developed by society. Here we review motor learning from a computational perspective, exploring the need for motor learning, what is learned and how it is represented, and the mechanisms of learning. We relate these computational issues to empirical studies on motor learning in humans.
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