Cross-Dataset Variability Problem in EEG Decoding With Deep Learning

Cross-subject variability problems hinder practical usages of Brain-Computer Interfaces. Recently, deep learning has been introduced into the BCI community due to its better generalization and feature representation abilities. However, most studies currently only have validated deep learning models...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Lichao Xu, Minpeng Xu, Yufeng Ke, Xingwei An, Shuang Liu, Dong Ming
Formato: Artigo
Lenguaje:Inglês
Publicado: Frontiers Media S.A. 2020-04-01
Colección:Frontiers in Human Neuroscience
Materias:
brain-computer interface
cross-subject variability
cross-dataset variability
deep learning
transfer learning
EEG
Acceso en línea:https://www.frontiersin.org/article/10.3389/fnhum.2020.00103/full
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares