Spectral Considerations on Unsupervised Time-domain EEG Representation Learning with Deep Networks
It is argued that, as the field advances toward large-scale foundation-level feature extractors, it is imperative to move beyond simple time-domain reconstruction and to integrate spectral-domain loss terms and gradient-balancing techniques, so that the subtle high-frequency transients critical for diagnosing complex b...
D. Aquilué-Llorens, Abel Puigseslloses, A. Blanco et al.
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