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Self-organizing neural network for reproducing human postural mode alternation through deep reinforcement learning

A self-organized phenomenon in postural coordination is essential for understanding the auto-switching mechanism of in-phase and anti-phase postural coordination modes during standing and related supra-postural activities. Previously, a model-based approach was proposed to reproduce such self-organi...

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Detalles Bibliográficos
Autores principales: Shen, Keli, Li, Guanda, Chemori, Ahmed, Hayashibe, Mitsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238493/
https://www.ncbi.nlm.nih.gov/pubmed/37268710
http://dx.doi.org/10.1038/s41598-023-35886-y