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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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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2014
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| Materias: | |
| Acceso en línea: | 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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