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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...
Autores principales: | Shen, Keli, Li, Guanda, Chemori, Ahmed, Hayashibe, Mitsuhiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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