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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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Detalles Bibliográficos
Autores principales: Berniker, Max, Kording, Konrad P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365717/
https://www.ncbi.nlm.nih.gov/pubmed/25852530
http://dx.doi.org/10.3389/fncom.2015.00032

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