APA (7th ed.) Citation

Perez-Velasco, S., Santamaria-Vazquez, E., Martinez-Cagigal, V., Marcos-Martinez, D., & Hornero, R. (2022). EEGSym: Overcoming Inter-subject Variability in Motor Imagery Based BCIs with Deep Learning. IEEE transactions on neural systems and rehabilitation engineering, 30, 1. https://doi.org/10.1109/TNSRE.2022.3186442

Chicago Style (17th ed.) Citation

Perez-Velasco, Sergio, Eduardo Santamaria-Vazquez, Victor Martinez-Cagigal, Diego Marcos-Martinez, and Roberto Hornero. "EEGSym: Overcoming Inter-subject Variability in Motor Imagery Based BCIs with Deep Learning." IEEE Transactions on Neural Systems and Rehabilitation Engineering 30 (2022): 1. https://doi.org/10.1109/TNSRE.2022.3186442.

MLA (9th ed.) Citation

Perez-Velasco, Sergio, et al. "EEGSym: Overcoming Inter-subject Variability in Motor Imagery Based BCIs with Deep Learning." IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, 2022, p. 1, https://doi.org/10.1109/TNSRE.2022.3186442.