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NOVEL APPROACH EXPLAINS SPATIO-SPECTRAL INTERACTIONS IN RAW ELECTROENCEPHALOGRAM DEEP LEARNING CLASSIFIERS

The application of deep learning classifiers to resting-state electroencephalography (rs-EEG) data has become increasingly common. However, relative to studies using traditional machine learning methods and extracted features, deep learning methods are less explainable. A growing number of studies h...

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Detalles Bibliográficos
Autores principales: Ellis, Charles A., Sattiraju, Abhinav, Miller, Robyn L., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002614/
https://www.ncbi.nlm.nih.gov/pubmed/36909628
http://dx.doi.org/10.1101/2023.02.26.530118