EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

Background: The adoption of convolutional neural networks (CNNs) for decoding electroencephalogram (EEG)-based motor imagery (MI) in brain-computer interfaces has significantly increased recently. The effective extraction of motor imagery features is vital due to the variability among individuals an...

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Principais autores:	Chengcheng Fan, Banghua Yang, Xiaoou Li, Shouwei Gao, Peng Zan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IMR Press 2024-08-01
coleção:	Journal of Integrative Neuroscience
Assuntos:	brain-computer interfaces motor imagery convolutional neural networks brain network analysis generative adversarial networks
Acesso em linha:	https://www.imrpress.com/journal/JIN/23/8/10.31083/j.jin2308153
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