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Author

Xiao-Gang Hu

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3 papers indexed here

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Nov 2026

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...

Long Meng, Xiao-Gang Hu · 0 citations
Sep 2026

Efficient Neural Decoding of Multi-Finger Forces for Continuous Human-Robot Interaction Control.

OBJECTIVE Accurate prediction of multi-finger forces can advance human-robotic interactions, enhancing the dexterity and precision of robotic assistance in various applications. Surface electromyogram (sEMG), which captures electrical signals during muscle activation, is a preferred information source for such predicti...

Long Meng, Xiao-Gang Hu · 0 citations
Open access Aug 2026

Deep Learning for Scalp-Level Nonlinear Source Separation in Electroencephalogram: A Comparative Evaluation of Spatiotemporal Architectures

Electroencephalography (EEG) is a common technique to measure field potentials of various brain regions, and event-related potentials (ERPs) reflect stimulus- or response-locked brain responses that are spatially distributed across the scalp due to volume conduction. However, accurately capturing stimulus specific ERPs...

Li-Yuan Ma, Xiao-Gang Hu · 0 citations

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