Surabhi N. Simha

The paper investigates how exoskeleton stiffness affects muscle spindle firing in rats by applying controlled stretches with engineered springs and measuring biomechanical responses.

This paper develops a biophysical model of the muscle spindle to simulate how gamma motor neuron drive modulates spindle firing during locomotion, revealing its role as a tunable feedback controller.

This paper develops a biophysical cross-bridge model to predict muscle short-range stiffness during movement, finding that cooperative myofilament activation is essential for accurate predictions.

This study tests if steeper gradients of energetic cost during walking trigger adaptation, finding no spontaneous adaptation to steeper gradients but adaptation when cost savings are explicitly induced.

This study shows that people adapt their walking strategy over prolonged split-belt treadmill use to reduce energy cost by acquiring positive work from the treadmill.

This study shows that split-belt treadmill walking adaptation involves adjusting step length asymmetry to extract mechanical work from the treadmill, reducing metabolic cost and improving walking economy.

This paper presents a mechatronic system that applies controlled forces to study how the nervous system optimizes energy cost during walking.

This study investigates how the nervous system initiates and converges on optimal gaits during energy optimization using human experiments and reinforcement learning models.