Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

INTRODUCTION: Multimodal classification is increasingly common in electrophysiology studies. Many studies use deep learning classifiers with raw time-series data, which makes explainability difficult, and has resulted in relatively few studies applying explainability methods. This is concerning beca...

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Detalles Bibliográficos
Autores principales: Ellis, Charles A., Sendi, Mohammad S. E., Zhang, Rongen, Carbajal, Darwin A., Wang, May D., Miller, Robyn L., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050434/
https://www.ncbi.nlm.nih.gov/pubmed/37006636
http://dx.doi.org/10.3389/fninf.2023.1123376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050434/
https://www.ncbi.nlm.nih.gov/pubmed/37006636
http://dx.doi.org/10.3389/fninf.2023.1123376

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