Neuromorphic Motoneuron Spike Train Decoding for Finger Force Predictions
Continuous neural control of robotic hand at individual finger level remains a challenge in robotics. Decoding of motor unit (MU) spiking activity from surface electromyogram (sEMG) signals has shown the promise to address this challenge, but computational efficiency limits real-time implementations. Spiking neural net...