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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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Detalhes bibliográficos
Main Authors: Bengoetxea, Ana, Leurs, Françoise, Hoellinger, Thomas, Cebolla, Ana M., Dan, Bernard, McIntyre, Joseph, Cheron, Guy
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4166318/
https://ncbi.nlm.nih.gov/pubmed/25278868
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00100
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