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...

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Detalles Bibliográficos
Autores principales: Winner, Taniel S., Rosenberg, Michael C., Jain, Kanishk, Kesar, Trisha M., Ting, Lena H., Berman, Gordon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
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

Internet

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

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