APA (7th ed.) Citation

Y, Z., D, H., F, R., Q, X., L, X., G, X., . . . B, J. (2026). RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features. PloS one, 21(4), e0347671. https://doi.org/10.1371/journal.pone.0347671

Chicago Style (17th ed.) Citation

Y, Zhao, et al. "RMETNet: A Cross-subject Motor Imagery EEG Signal Classification Model Based on TSLANet and Riemannian Geometry Features." PloS One 21, no. 4 (2026): e0347671. https://doi.org/10.1371/journal.pone.0347671.

MLA (9th ed.) Citation

Y, Zhao, et al. "RMETNet: A Cross-subject Motor Imagery EEG Signal Classification Model Based on TSLANet and Riemannian Geometry Features." PloS One, vol. 21, no. 4, 2026, p. e0347671, https://doi.org/10.1371/journal.pone.0347671.