33 citations · 35 across the 3 of their papers we have counts for
3 papers
Conditional Generative Models for Simulation of EMG During Naturalistic Movements
Shihan Ma, Alexander Kenneth Clarke, Kostiantyn Maksymenko +4
Numerical models of electromyographic (EMG) signals have provided a huge contribution to our fundamental understanding of human neurophysiology and remain a central pillar of motor…
Toward a Framework for Adaptive Impedance Control of an Upper-limb Prosthesis
Laura Ferrante, Mohan Sridharan, Claudio Zito +1
Adapting upper-limb impedance (i.e., stiffness, damping, inertia) is essential for humans interacting with dynamic environments for executing grasping or manipulation tasks. On the…
Common Synaptic Input, Synergies, and Size Principle: Control of Spinal Motor Neurons for Movement Generation
François Hug, Simon Avrillon, Jaime Ibáñez +1
Understanding how movement is controlled by the central nervous system remains a major challenge, with ongoing debate about basic features underlying this control. In this review,…