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Perspectives and problems in motor learning
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DOI：10.1016/S1364-6613(00)01773-3.png)
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摘要
En 中文
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.
Keyword:
INTERNAL-MODELS
ARM
REPRESENTATION
MOVEMENTS
DYNAMICS
PERCEPTION
PRINCIPLES
PREDICTION
ACCURACY
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17.2
论文数:
3.6K
被引数:
3.5W
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