Zhang, Y., Prasad, S., Kilicarslan, A., & Contreras-Vidal, J. L. (2017). Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals. Frontiers in neuroscience, 11, 170. https://doi.org/10.3389/fnins.2017.00170
Chicago Style (17th ed.) CitationZhang, Yuhang, Saurabh Prasad, Atilla Kilicarslan, and Jose L. Contreras-Vidal. "Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals." Frontiers in Neuroscience 11 (2017): 170. https://doi.org/10.3389/fnins.2017.00170.
MLA (9th ed.) CitationZhang, Yuhang, et al. "Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals." Frontiers in Neuroscience, vol. 11, 2017, p. 170, https://doi.org/10.3389/fnins.2017.00170.