Convolutional Neural Network with a Topographic Representation Module for EEG-Based Brain—Computer Interfaces

Convolutional neural networks (CNNs) have shown great potential in the field of brain–computer interfaces (BCIs) due to their ability to directly process raw electroencephalogram (EEG) signals without artificial feature extraction. Some CNNs have achieved better classification accuracy than that of...

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Detalles Bibliográficos
Autores principales: Liang, Xinbin, Liu, Yaru, Yu, Yang, Liu, Kaixuan, Liu, Yadong, Zhou, Zongtan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954538/
https://www.ncbi.nlm.nih.gov/pubmed/36831811
http://dx.doi.org/10.3390/brainsci13020268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954538/
https://www.ncbi.nlm.nih.gov/pubmed/36831811
http://dx.doi.org/10.3390/brainsci13020268

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