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...

Descripción completa

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

Internet

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

Ejemplares similares