Publication

Understanding the robustness of human posture and gait—how we remain stable despite sensory noise, mechanical changes, or neurological impairment—is a central goal in motor control and biomechanics. Neuromusculoskeletal simulation provides a powerful framework for investigating this complex interplay between the nervous system and musculoskeletal dynamics. This talk presents our recent work investigating human motor control using body models with neural controllers. We examine quiet and perturbed stance, exploring how manipulating factors like sensory noise, muscle tone alters control strategies. This approach has been applied to characterize distinct compensation patterns in post-stroke and patients with Parkinson’s disease. We are also extending these simulations to 3D gait and linking model parameters with clinical and imaging data to bridge the gap between neural dysfunction and observable movement patterns. The talk will also cover practical aspects of Neuromusculoskeletal modeling.