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Deep networks for motor control functions
The motor system generates time-varying commands to move our limbs and body. Conventional descriptions of motor control and learning rely on dynamical representations of our body's state (forward and inverse models), and control policies that must be integrated forward to generate feedforward t...
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| Publicado no: | Front Comput Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4365717/ https://ncbi.nlm.nih.gov/pubmed/25852530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2015.00032 |
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