A Probabilistic Analysis of Muscle Force Uncertainty for Control.
BACKGROUND: We control the movements of our body and limbs through our muscles. However, the forces produced by our muscles depend unpredictably on the commands sent to them. This uncertainty has two sources: irreducible noise in the motor system's processes (i.e., motor noise) and variability in the relationship between muscle commands and muscle outputs (i.e., model uncertainty). Any controller, neural or artificial, benefits from estimating these uncertainties when choosing commands. METHODS…read more
Estimation of musculoskeletal models from in situ measurements of muscle action in the rat hindlimb.read more
The case for and against muscle synergies.read more
Interested in joining us?
Arun Jayaraman, PT, PhD, executive director, Technology & Innovation Hub (tiHUB), was featured for a special World Stroke Day-themed interview.view all news
Arun Jayaraman, PT, PhD, executive director, Technology & Innovation Hub (tiHUB), was featured for a special World Stroke Day-themed interview.