Abstract: Highlights•Proposing a wavelet-based prototype training method to enhance attention features.•Introducing a decoder using time-frequency input for better feature extraction.•Experiments show prototype training and EEGWaveNet outperform alternatives.•Results from 50,000 models offer a unified benchmark in the Sp-AAD field.
Loading