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Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics
Locomotion results from the interactions of highly nonlinear neural and biomechanical dynamics. Accordingly, understanding gait dynamics across behavioral conditions and individuals based on detailed modeling of the underlying neuromechanical system has proven difficult. Here, we develop a data-driv...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610102/ https://www.ncbi.nlm.nih.gov/pubmed/37889927 http://dx.doi.org/10.1371/journal.pcbi.1011556 |