Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain

Concomitant with the development of deep learning, brain–computer interface (BCI) decoding technology has been rapidly evolving. Convolutional neural networks (CNNs), which are generally used as electroencephalography (EEG) classification models, are often deployed in BCI prototypes to improve the e...

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Main Authors: Yosuke Fujiwara, Junichi Ushiba
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-05-01
Colecção:Frontiers in Computational Neuroscience
Assuntos:
deep learning
brain-computer interface
Grad-CAM
electroencephalography
deep residual convolutional neural networks (CNN)
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fncom.2022.882290/full
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