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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. T
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