A Lightweight Multi-Scale Convolutional Neural Network for P300 Decoding: Analysis of Training Strategies and Uncovering of Network Decision

Convolutional neural networks (CNNs), which automatically learn features from raw data to approximate functions, are being increasingly applied to the end-to-end analysis of electroencephalographic (EEG) signals, especially for decoding brain states in brain-computer interfaces (BCIs). Nevertheless,...

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Detalles Bibliográficos
Autores principales: Borra, Davide, Fantozzi, Silvia, Magosso, Elisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295472/
https://www.ncbi.nlm.nih.gov/pubmed/34305550
http://dx.doi.org/10.3389/fnhum.2021.655840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295472/
https://www.ncbi.nlm.nih.gov/pubmed/34305550
http://dx.doi.org/10.3389/fnhum.2021.655840

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