Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review

The algorithms of electroencephalography (EEG) decoding are mainly based on machine learning in current research. One of the main assumptions of machine learning is that training and test data belong to the same feature space and are subject to the same probability distribution. However, this may be...

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Detalles Bibliográficos
Autores principales: Zhang, Kai, Xu, Guanghua, Zheng, Xiaowei, Li, Huanzhong, Zhang, Sicong, Yu, Yunhui, Liang, Renghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664219/
https://www.ncbi.nlm.nih.gov/pubmed/33167561
http://dx.doi.org/10.3390/s20216321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664219/
https://www.ncbi.nlm.nih.gov/pubmed/33167561
http://dx.doi.org/10.3390/s20216321

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