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Dataset Information

Learning to stand with unexpected sensorimotor delays.


ABSTRACT: Human standing balance relies on self-motion estimates that are used by the nervous system to detect unexpected movements and enable corrective responses and adaptations in control. These estimates must accommodate for inherent delays in sensory and motor pathways. Here, we used a robotic system to simulate human standing about the ankles in the anteroposterior direction and impose sensorimotor delays into the control of balance. Imposed delays destabilized standing, but through training, participants adapted and re-learned to balance with the delays. Before training, imposed delays attenuated vestibular contributions to balance and triggered perceptions of unexpected standing motion, suggesting increased uncertainty in the internal self-motion estimates. After training, vestibular contrib

SUBMITTER: Rasman BG 

PROVIDER: S-EPMC8480973 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature