Semi-supervised generative and discriminative adversarial learning for motor imagery-based brain–computer interface

Convolutional neural networks (CNNs), which can recognize structural/configuration patterns in data with different architectures, have been studied for feature extraction. However, challenges remain regarding leveraging advanced deep learning methods in BCIs. We focus on problems of small-sized trai...

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Detalles Bibliográficos
Autores principales: Ko, Wonjun, Jeon, Eunjin, Yoon, Jee Seok, Suk, Heung-Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931045/
https://www.ncbi.nlm.nih.gov/pubmed/35301366
http://dx.doi.org/10.1038/s41598-022-08490-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931045/
https://www.ncbi.nlm.nih.gov/pubmed/35301366
http://dx.doi.org/10.1038/s41598-022-08490-9

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