Funder
National Science Foundation of China
the Outstanding Youth Science Fund of Xi'an University of Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Reference28 articles.
1. Bozhkov L, Georgieva P. Deep learning models for brain machine interfaces. Annals Math Artif Intell. 2019. https://doi.org/10.1007/s10472-019-09668-0.
2. Shanechi MM, Orsborn AL, Moorman HG, Gowda S, Dangi S, Carmena JM. Rapid control and feedback rates enhance neuroprosthetic control. Nat Comm. 2017;8:13825.
3. Borhani S, Kilmarx J, Saffo D, Ng L, Abiri R, Zhao X. Optimizing prediction model for a noninvasive brain-computer interface platform using channel selection, classification, and regression. IEEE J Biomed Health Info. 2019;23(6):2475–82.
4. Pan X. Brain-machine interface training system of motor imagery based on virtual reality. NeuroQuantology. 2018;16(6):715–9.
5. Cattan G, Mendoza C, Andreev A, Congedo M. Recommendations for integrating a p300-based brain computer interface in virtual reality environments for gaming. First Comp. 2018;7(34):1–21.
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