Local and global convolutional transformer-based motor imagery EEG classification

Zhang, J. orcid.org/0000-0003-3865-9735, Li, K., Yang, B. et al. (1 more author) (2023) Local and global convolutional transformer-based motor imagery EEG classification. Frontiers in Neuroscience, 17. 1219988. ISSN 1662-4548

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Copyright, Publisher and Additional Information: © 2023 Zhang, Li, Yang and Han. 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.
Keywords: brain-computer interface, motor imagery, transformer, attention mechanism, Convolutional Neural Network
Dates:
  • Accepted: 7 August 2023
  • Published (online): 17 August 2023
  • Published: 17 August 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 30 Aug 2023 13:00
Last Modified: 30 Aug 2023 13:00
Published Version: https://www.frontiersin.org/articles/10.3389/fnins...
Status: Published
Publisher: Frontiers Media
Identification Number: https://doi.org/10.3389/fnins.2023.1219988
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