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.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
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
Volume
16 - 2022
Edited and reviewed by
Michele Giugliano, International School for Advanced Studies (SISSA), Italy
Updates
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 chenglonglong@cecdat.comChao Chen cccovb@hotmail.com
This article was submitted to Neural Technology, a section of the journal Frontiers in Neuroscience
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.