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cs.HC2025
Spiking Neural Network Decoders of Finger Forces from High-Density Intramuscular Microelectrode Arrays
Farah Baracat, Agnese Grison, Dario Farina +2
Restoring naturalistic finger control in assistive technologies requires the continuous decoding of motor intent with high accuracy, efficiency, and robustness. Here, we present a…
cs.HC2024★ 1 cited
Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions
Alexander Kenneth Clarke, Dimitrios Halatsis, Agnese Grison +6
Decomposing surface electromyography (EMG) into the spike trains of individual motor neurons is a long-standing inverse problem and a key step toward motor-neuron-driven neural int…