Perspectives and problems in motor learning

Perspectives and problems in motor learning

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...

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Veröffentlicht in:Trends in Cognitive Sciences 2001-11, Vol.5 (11), p.487-494
Hauptverfasser: Wolpert, Daniel M, Ghahramani, Zoubin, Flanagan, J.Randall
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Sprache:eng
Schlagworte:
innate behaviour
inverse model
movement
reinforcement learning
sensory inputs
supervised learning
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creator Wolpert, Daniel M
Ghahramani, Zoubin
Flanagan, J.Randall
description 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.
doi_str_mv 10.1016/S1364-6613(00)01773-3
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source Elsevier ScienceDirect Journals
subjects innate behaviour
inverse model
movement
reinforcement learning
sensory inputs
supervised learning
title Perspectives and problems in motor learning
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