Neural Control of Locomotion

This lecture covers the neural control of locomotion, focusing on reflexes, central pattern generators, and the interaction between sensory feedback and motor neuron activity. It discusses the use of realistic neural networks and electrical stimulation to modulate motor output, emphasizing the importance of afferent diversity and large-diameter afferent fibers. The lecture also explores the reconstruction of biomechanical states, gait event detection, and control policies for stimulation adaptation. Additionally, it delves into the variability of human spinal cord anatomy and the application of high-resolution structural MRI for personalized anatomical and functional features.