LGFCNN: A synergistic framework integrating graph-based spatial filter and lightweight CNN for SSVEP recognition

Ma, R. orcid.org/0000-0003-2454-4523, Cao, Y., Xie, S.Q. orcid.org/0000-0002-8082-9112 et al. (3 more authors) (2025) LGFCNN: A synergistic framework integrating graph-based spatial filter and lightweight CNN for SSVEP recognition. Neurocomputing, 656. 131561. ISSN: 0925-2312

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Item Type: Article
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© 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Steady-state visual evoked potentials (SSVEP); Neural signal decoding; Graph-based spatial filter; Lightweight convolutional neural network; (CNN); Data augmentation
Dates:
  • Accepted: 12 September 2025
  • Published (online): 18 September 2025
  • Published: 1 December 2025
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: 22 Sep 2025 15:10
Last Modified: 22 Sep 2025 15:10
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.neucom.2025.131561
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