Delineating neural contributions to electroencephalogram-based speech decoding
Motoshige Sato, Yasuo Kabe, Sensho Nobe, Akito Yoshida, Masakazu Inoue, Mayumi Shimizu, Kenichi Tomeoka, Shuntaro Sasai
This study uses Explainable AI to analyze uhd-EEG signals for speech decoding, showing neural contributions are distinct from EMG artifacts and can be enhanced by denoising.
bioRxiv · May 9, 2024 · PreprintNeuroscience