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Minimizing endpoint variability through reinforcement learning during reaching movements involving shoulder, elbow and wrist
Reaching movements are comprised of the coordinated action across multiple joints. The human skeleton is redundant for this task because different joint configurations can lead to the same endpoint in space. How do people learn to use combinations of joints that maximize success in goal-directed mot...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5515434/ https://ncbi.nlm.nih.gov/pubmed/28719661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0180803 |
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