Physiological modules for generating discrete and rhythmic movements: action identification by a dynamic recurrent neural network

In this study we employed a dynamic recurrent neural network (DRNN) in a novel fashion to reveal characteristics of control modules underlying the generation of muscle activations when drawing figures with the outstretched arm. We asked healthy human subjects to perform four different figure-eight m...

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Detalles Bibliográficos
Autores principales: Bengoetxea, Ana, Leurs, Françoise, Hoellinger, Thomas, Cebolla, Ana M., Dan, Bernard, McIntyre, Joseph, Cheron, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4166318/
https://www.ncbi.nlm.nih.gov/pubmed/25278868
http://dx.doi.org/10.3389/fncom.2014.00100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4166318/
https://www.ncbi.nlm.nih.gov/pubmed/25278868
http://dx.doi.org/10.3389/fncom.2014.00100

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