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Explainable artificial intelligence model to predict brain states from fNIRS signals

Objective: Most Deep Learning (DL) methods for the classification of functional Near-Infrared Spectroscopy (fNIRS) signals do so without explaining which features contribute to the classification of a task or imagery. An explainable artificial intelligence (xAI) system that can decompose the Deep Le...

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Detalles Bibliográficos
Autores principales:	Shibu, Caleb Jones, Sreedharan, Sujesh, Arun, KM, Kesavadas, Chandrasekharan, Sitaram, Ranganatha
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Human Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892761/ https://www.ncbi.nlm.nih.gov/pubmed/36741783 http://dx.doi.org/10.3389/fnhum.2022.1029784

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