Learning of action through adaptive combination of motor primitives

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Summary

This work shows that humans learn the dynamics of reaching movements through a flexible combination of primitives that have gaussian-like tuning functions encoding hand velocity, and finds close agreement between the predicted limitations and the subjects’ adaptation to new force fields.

Type
article
Published
2000-10-12
Cited by
1,061
References
46
Access
Open access

Keywords

Computer science, ENCODE, Action (physics), Dynamics (music), Neuroscience

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