[1] McFarland D J, Wolpaw J R. EEG-based brain-computer interfaces[J]. Current Opinion in Biomedical Engineering, 2017, 4(Supplement C):194-200.
[2] Lebedev M A, Nicolelis M A L. Brain-machine interfaces:Past, present and future.[J]. Trends in Neurosciences, 2006, 29(9):536-546.
[3] Gao S. Visual and auditory brain-computer interfaces[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(5):1436-1447.
[4] Vidal J J. Toward direct brain-computer communication[J]. Annual Review of Biophysics and Bioengineering, 1973, 2(1):157-180.
[5] Neuralink[EB/OL].[2017-12-20]. https://www.neuralink.com/.
[6] Statt N. Facebook is working on a way to let you type with your brain[EB/OL].[2017-04-19]. https://www.theverge.com/2017/4/19/15360798/facebook-brain-computer-interface-ai-ar-f8-2017.
[7] Chen X G, Wang Y J, Nakanishi M, et al. High-speed spelling with a noninvasive brain-computer interface[J]. Proceedings of the National Academy of Sciences, 2015, 112(44):E6058-E6067.
[8] Pandarinath C, Nuyujukian P, Blabe C H, et al. High performance communication by people with paralysis using an intracortical brain-computer interface[J]. eLife, 2017, doi:10.7554/eLife.18554.
[9] Ajiboye A B, Willett F R, Young D R, et al. Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia:A proof-of-concept demonstration[J]. Lancet, 2017, 389(10081):1821-1830.
[10] Yanagisawa T, Fukuma R, Seymour B, et al. Induced sensorimotor brain plasticity controls pain in phantom limb patients[J]. Nature Communications, 2016, 7:13209.
[11] 2017-BCI Award[EB/OL].[2017-12-20]. http://www.bci-award.com/2017.
[12] Chaudhary U, Xia B, Silvoni S, et al. Brain-computer interface-based communication in the completely locked-in state[J]. Plos Biology, 2017, 15(1):e1002593.
[13] Luhmann A V, Wabnitz H, Sander T, et al. M3BA:A Mobile, Modular, Multimodal Biosignal Acquisition architecture for miniaturized EEG-NIRS based hybrid BCI and monitoring[J]. IEEE Transactions on Biomedical Engineering, 2017, 64(6):1199-1210.
[14] Wang Y T, Nakanishi M, Wang Y, et al. An online braincomputer interface based on ssveps measured from non-hairbearing areas[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(1):14-21.
[15] Farwell L A, Donchin E. Talking off the top of your head:Toward a mental prosthesis utilizing event-related brain potentials[J]. Electroencephalography and Clinical Neurophysiology, 1988, 70(6):510-523.
[16] Nakanishi M, Wang Y, Chen X, et al. Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis[J]. IEEE Transactions on Biomedical Engineering, 2018, 65(1):104-112.
[17] Bin G, Gao X, Wang Y, et al. VEP-based brain-computer interfaces:time, frequency, and code modulations[Research Frontier] [J]. Computational Intelligence Magazine IEEE, 2009, 4(4):22-26.
[18] Maye A, Zhang D, Engel A. Utilizing retinotopic mapping for a multi-target SSVEP BCI with a single flicker frequency[J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2017, 25(7):1026-1036.
[19] Chen J, Zhang D, Engel A K, et al. Application of a singleflicker online SSVEP BCI for spatial navigation[J]. Plos One, 2017, 12(5):e0178385.
[20] Qiu Z, Allison B Z, Jin J, et al. Optimized motor imagery paradigm based on imagining Chinese characters writing movement[J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering A Publication of the IEEE Engineering in Medicine & Biology Society, 2017, 25(7):1009-1017.
[21] Schirrmeister R T, Springenberg J T, Fiederer L D J, et al. Deep learning with convolutional neural networks for EEG decoding and visualization[J]. Human Brain Mapping, 2017, 38(11):5391-5420.
[22] Hosseini M P, Pompili D, Elisevich K, et al. Optimized deep learning for EEG big data and seizure prediction BCI via internet of things[J]. IEEE Transactions on Big Data, 2017, 3(4):392-404.
[23] Zhang Y, Wang Y, Zhou G, et al. Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces[J]. Expert Systems with Applications, 2018, 96:302-310.
[24] Tang H, Liu W, Zheng W L, et al. Multimodal emotion recognition using deep neural networks[C]//24th International Conference on Neural Information Processing. Springer, 2017:811-819.
[25] Liu M, Wu W, Gu Z, et al. Deep learning based on batch normalization for P300 signal detection[J]. Neurocomputing, 2018, 275(Supplement C):288-297.
[26] Lu N, Li T, Ren X, et al. A deep learning scheme for motor imagery classification based on restricted boltzmann machines[J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering A Publication of the IEEE Engineering in Medicine & Biology Society, 2017, 25(6):56-576.
[27] Wang Y, Chen X, Gao X, et al. A benchmark dataset for SSVEP-based brain-computer interfaces[J]. IEEE Transactions on Neural Systems & Rehabilitation Engineering A Publication of the IEEE Engineering in Medicine & Biology Society, 2017, 25(10):1746-1752.
[28] Shin J, Von L A, Blankevtz B, et al. Open access dataset for EEG + NIRS single-trial classification[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(10):1735-1745.
[29] Yuste R, Goering S. Four ethical priorities for neurotechnologies and AI[J]. Nature, 2017, 551(7679):159-163.
[30] Strickland E. DARPA wants brain implants that record from 1 million neurons[EB/OL].[2017-07-10]. https://spectrum.ieee.org/the-human-os/biomedical/devices/darpa-wants-brain-implants-that-record-from-1-million-neurons.
[31] Müller K R, Carmena J M. Editorial IEEE Brain Initiative Special issue on BMI/BCI Systems[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(10):1685-1686.
