Spectral features from frequency and time-frequency domains enable traditional ML to match or exceed attention-based DL performance in EEG disease diagnosis on small datasets, with attention unable to capture stable spectral signatures.
Gamma oscillations in the hyperkinetic state detected with chronic human brain recordings in Parkinson’s disease
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Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis
Spectral features from frequency and time-frequency domains enable traditional ML to match or exceed attention-based DL performance in EEG disease diagnosis on small datasets, with attention unable to capture stable spectral signatures.