Humans use multi-objective control to regulate lateral foot placement when walking.

ABSTRACT: A fundamental question in human motor neuroscience is to determine how the nervous system generates goal-directed movements despite inherent physiological noise and redundancy. Walking exhibits considerable variability and equifinality of task solutions. Existing models of bipedal walking do not yet achieve both continuous dynamic balance control and the equifinality of foot placement humans exhibit. Appropriate computational models are critical to disambiguate the numerous possibilities of how to regulate stepping movements to achieve different walking goals. Here, we extend a theoretical and computational Goal Equivalent Manifold (GEM) framework to generate predictive models, each posing a different experimentally testable hypothesis. These models regulate stepping movements to achieve a

SUBMITTER: Dingwell JB 

PROVIDER: S-EPMC6422313 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature