DeepSHAP-based channel selection on an alpha-power CNN allows a compact TCN to match near full-64-channel accuracy with 32 EEG channels.
Comparison of two-talker attention decoding from eeg with nonlinear neural networks and linear methods,
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SHAP-AAD: DeepSHAP-Guided Channel Reduction for EEG Auditory Attention Detection
DeepSHAP-based channel selection on an alpha-power CNN allows a compact TCN to match near full-64-channel accuracy with 32 EEG channels.