Penghai Li
Jianxian Su
Abdelkader Nasreddine Belkacem
Longlong Cheng
Chao Chen
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- 1School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, China
- 2Department of Computer and Network Engineering, College of Information Technology, UAE University, Al Ain, United Arab Emirates
- 3China Electronics Cloud Brain Technology Co., Ltd., Tianjin, China
- 4Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
A corrigendum on
Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI
by Li, P., Su, J., Belkacem, A. N., Cheng, L., and Chen, C. (2022). Front. Neurosci. 16:971039. doi: 10.3389/fnins.2022.971039
In the published article, there was an error in the article title as published. Instead of “Steady-state visually evoked potential collaborative BCI system deep learning classification algorithm based on multi-person feature fusion transfer learning-based convolutional neural network,” it should be “Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: steady-state visually evoked potential, collaborative BCI, feature fusion, convolutional neural network, transfer learning
Citation: Li P, Su J, Belkacem AN, Cheng L and Chen C (2022) Corrigendum: Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI. Front. Neurosci. 16:1024150. doi: 10.3389/fnins.2022.1024150
Received: 21 August 2022; Accepted: 12 October 2022;
Published: 26 October 2022.
Edited and reviewed by: Michele Giugliano, International School for Advanced Studies (SISSA), Italy
Copyright © 2022 Li, Su, Belkacem, Cheng and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Longlong Cheng, Y2hlbmdsb25nbG9uZ0BjZWNkYXQuY29t; Chao Chen, Y2Njb3ZiQGhvdG1haWwuY29t