Spectral features from EEG frequency and time-frequency domains enable traditional ML models to match or exceed SOTA deep learning performance, while attention shows fundamental limits in capturing stable neural 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 EEG frequency and time-frequency domains enable traditional ML models to match or exceed SOTA deep learning performance, while attention shows fundamental limits in capturing stable neural signatures.