Multi-layer transfer learning algorithm based on improved common spatial pattern for brain–computer interfaces

In the application of brain–computer interface, the differences in imaging methods and brain structure between subjects hinder the effectiveness of decoding algorithms when applied on different subjects. Transfer learning has been designed to solve this problem. There have been many applications of...

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Bibliographic Details
Published in:	Journal of neuroscience methods Vol. 415; p. 110332
Main Authors:	Cai, Zhuo, Gao, Yunyuan, Fang, Feng, Zhang, Yingchun, Du, Shunlan
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.03.2025
Subjects:	Adult Algorithms Brain - physiology Brain-Computer Interfaces Common spatial patterns EEG Electroencephalography - methods Female Humans Imagination - physiology Male Multiple source domains Transfer learning Transfer, Psychology - physiology Young Adult Multiple source domains Transfer learning EEG Common spatial patterns
ISSN:	0165-0270, 1872-678X, 1872-678X
Online Access:	Get full text
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