Cargando…
Minimizing endpoint variability through reinforcement learning during reaching movements involving shoulder, elbow and wrist
Reaching movements are comprised of the coordinated action across multiple joints. The human skeleton is redundant for this task because different joint configurations can lead to the same endpoint in space. How do people learn to use combinations of joints that maximize success in goal-directed mot...
Autores principales: | Mehler, David Marc Anton, Reichenbach, Alexandra, Klein, Julius, Diedrichsen, Jörn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515434/ https://www.ncbi.nlm.nih.gov/pubmed/28719661 http://dx.doi.org/10.1371/journal.pone.0180803 |
Ejemplares similares
-
Chest Exercises: Movement and Loading of Shoulder, Elbow and Wrist Joints
por: Schütz, Pascal, et al.
Publicado: (2022) -
Shoulder, elbow, and wrist: Broadening the scope, and the editorial board
por: Bhatia, Deepak N., et al.
Publicado: (2016) -
Distinct Thalamo-Cortical Controls for Shoulder, Elbow, and Wrist during Locomotion
por: Beloozerova, Irina N., et al.
Publicado: (2013) -
A Dedicated Binding Mechanism for the Visual Control of Movement
por: Reichenbach, Alexandra, et al.
Publicado: (2014) -
Wrist speed feedback improves elbow compensation and reaching accuracy for myoelectric transradial prosthesis users in hybrid virtual reaching task
por: Earley, Eric J., et al.
Publicado: (2023)