Music-evoked emotions classification using vision transformer in EEG signals
- 1School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China
- 2School of Intelligence Engineering, Shandong Management University, Jinan, China
- 3School 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 were errors in the affiliations for author Dong Wang. As well as ‘School of Intelligence Engineering, Shandong Management University, Jinan, China', this author should also be affiliated to “School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China”. The corrected author affiliations are shown below.
Dong Wang1, 2†, Jian Lian2†, Hebin Cheng2* and Yanan Zhou3*
1School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China
2School of Intelligence Engineering, Shandong Management University, Jinan, China
3School of Arts, Beijing Foreign Studies University, Beijing, China
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. 15:1466709. doi: 10.3389/fpsyg.2024.1466709
Received: 18 July 2024; Accepted: 26 July 2024;
Published: 12 August 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, emhvdXlhbmFuJiN4MDAwNDA7YmZzdS5lZHUuY24=; Hebin Cheng, Y2hlbmdoZWJpbiYjeDAwMDQwO3NkbXUuZWR1LmNu
†These authors have contributed equally to this work