L. A. Elias

A spinal-inspired spiking neural network for continuous finger-joint kinematics estimation from high-density surface EMG

Decoding simultaneous and proportional finger kinematics from high-density surface electromyography (HD sEMG) remains challenging. Although data-driven methods have shown promising performance for finger movement decoding, their limited physiological interpretability remains a relevant limitation. This study proposes a...