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Frontiers in Neuroscience
(Oct 2022)
Corrigendum: Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI
Penghai Li,
Jianxian Su,
Abdelkader Nasreddine Belkacem,
Longlong Cheng,
Chao Chen
Affiliations
Penghai Li
School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, China
Jianxian Su
School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, China
Abdelkader Nasreddine Belkacem
Department of Computer and Network Engineering, College of Information Technology, UAE University, Al Ain, United Arab Emirates
Longlong Cheng
China Electronics Cloud Brain Technology Co., Ltd., Tianjin, China
Chao Chen
Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
DOI
https://doi.org/10.3389/fnins.2022.1024150
Journal volume & issue
Vol. 16
Abstract
Read online
No abstracts available.
Keywords
steady-state visually evoked potential
collaborative BCI
feature fusion
convolutional neural network
transfer learning
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