This article is a correction to:
Music-evoked emotions classification using vision transformer in EEG signals
Dong Wang
Jian Lian
Hebin Cheng
Yanan Zhou- 1School of Intelligence Engineering, Shandong Management University, Jinan, China
- 2School of Arts, Beijing Foreign Studies University, Beijing, China
A corrigendum on
Music-evoked emotions classification using vision transformer in EEG signals
by Wang, D., Lian, J., Cheng, H., and Zhou, Y. (2024). Front. Psychol. 15:1275142. doi: 10.3389/fpsyg.2024.1275142
In the published article, there was an error. It was not clearly denoted that authors Dong Wang and Jian Lian contributed equally to this work. The correct information is shown below.
Dong Wang1†, Jian Lian1†, Hebin Cheng1* and Yanan Zhou2*
†These authors have contributed equally to this work
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: music-evoked emotion, emotion classification, electroencephalographic, deep learning, transformer
Citation: Wang D, Lian J, Cheng H and Zhou Y (2024) Corrigendum: Music-evoked emotions classification using vision transformer in EEG signals. Front. Psychol. 15:1422498. doi: 10.3389/fpsyg.2024.1422498
Received: 24 April 2024; Accepted: 13 May 2024;
Published: 23 May 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Wang, Lian, Cheng and Zhou. 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: Yanan Zhou, zhouyanan@bfsu.edu.cn; Hebin Cheng, chenghebin@sdmu.edu.cn
†These authors have contributed equally to this work