[1] Benabid A L, Costecalde T, Eliseyev A, et al. An exoskeleton controlled by an epidural wireless brain-machine interface in a tetraplegic patient:A proof-of-concept demonstration[J]. The Lancet Neurology, 2019, 18(12):1112-1122.
[2] He Y, Eguren D, Azorín J M, et al. Brain-machine interfaces for controlling lower-limb powered robotic systems[J]. Journal of Neural Engineering, 2018, 15(2):021004.
[3] Soekadar S R, Witkowski M, Gómez C, et al. Hybrid EEG/EOG-based brain/neural hand exoskeleton restores fully independent daily living activities after quadriplegia[J]. Science Robotics, 2016, 1:eaag3296.
[4] Biasiucci A, Leeb R, Iturrate I, et al. Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke[J]. Nature Communications, 2018, 9(1):2421.
[5] Chen X, Wang Y, Nakanishi M, et al. High-speed spelling with a noninvasive brain-computer interface[J]. Proceedings of the National Academy of Sciences of the United States of America, 2015, 112(44):E6058-E6067.
[6] Anumanchipalli G K, Chartier J, Chang E F. Speech synthesis from neural decoding of spoken sentences[J]. Nature, 2019, 568(7753):493-498.
[7] David A M, Leonard M K, Makin J G, et al. Real-time decoding of question-and-answer speech dialogue using human cortical activity[J]. Nature Communications, 2019, 10(1):3096.
[8] Makin J G, Moses D A, Chang E F. Machine translation of cortical activity to text with an encoder-decoder framework[J]. Nature Neuroscience, 2020, 23(4):575-582.
[9] Ganzer P D, Colachis S C, Schwemmer MA, et al. Restoring the sense of touch using a sensorimotor demultiplexing neural interface[J]. Cell, 2020, 181(4):763-773.
[10] Benabid A L, Costecalde T, Eliseyev A, et al. An exoskeleton controlled by an epidural wireless brain-machine interface in a tetraplegic patient:A proof-of-concept demonstration[J]. The Lancet Neurology, 2019, 18(12):1112-1122.
[11] Edelman B J, Meng J, Suma D, et al. Noninvasive neuroimaging enhances continuous neural tracking for robotic device control[J]. Science Robotics, 2019, 4(31):eaaw6844.
[12] Musk E. Neuralink:An integrated brain-machine interface platform with thousands of channels[J]. Journal of Medical Internet Research, 2019, 21(10):e16194.
[13] Yamakawa T, Inoue T, Niwayama M, et al. Implantable multi-modality probe for subdural simultaneous measurement of electrophysiology, hemodynamics, and temperature distribution[J]. IEEE Transactions on Biomedical Engineering, 2019, 66(11):3204-3211.
[14] Hill R M, Boto E, Holmes N, et al. A tool for functional brain imaging with lifespan compliance[J]. Nature Communications, 2019, 10(1):4785.
[15] Mahmood M, Mzurikwao D, Kim Y S, et al. Fully portable and wireless universal brain-machine interfaces enabled by flexible scalp electronics and deep learning algorithm[J]. Nature Machine Intelligence, 2019, 1:412-422.
[16] Kappel S L, Rank M L, Toft H O, et al. Dry-contact electrode ear-EEG[J]. IEEE Transactions on Biomedical Engineering, 2019, 66(1):150-158.
[17] Lin S, Liu J, Li W, et al. A flexible, robust, and gel-free electroencephalogram electrode for noninvasive braincomputer interfaces[J]. Nano Letters, 2019, 19(10):6853-6861.
[18] Degenhart A D, Bishop W E, Oby E R, et al. Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity[J]. Nature Biomedical Engineering, 2020, doi:10.1038/s41551-020-0542-9.
[19] Zhang Y, Nam C S, Zhou G, et al. Temporally constrained sparse group spatial patterns for motor imagery BCI[J]. IEEE Transactions on Cybernetics, 2019, 49(9):3322-3332.
[20] Daly I, Williams D, Malik A, et al. Personalised, multimodal, affective state detection for hybrid brain-computer music interfacing[J]. IEEE Transactions on Affective Computing, 2020, 11(1):111-124.
[21] Jeong J H, Kwak N S, Guan C, et al. Decoding movement-related cortical potentials based on subject-dependent and section-wise spectral filtering[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(3):687-698.
[22] Zhang W, Wu D. Manifold embedded knowledge transfer for brain-computer interfaces[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(5):1117-1127.
[23] Corsi M C, Chavez M, Schwartz D, et al. Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interface[J]. International Journal of Neural Systems, 2019, 29(1):1850014.
[24] Willett F R, Deo D R, Avansino D T, et al. Hand knob area of premotor cortex represents the whole body in a compositional way[J]. Cell, 2020, 181(2):396-409.
[25] Khalaf A, Sejdic E, Akcakaya M. A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound[J]. Journal of Neuroscience Methods, 2019, 313:44-53.
[26] Sereshkeh A R, Yousefi R, Wong A T, et al. Online classification of imagined speech using functional near-infrared spectroscopy signals[J]. Journal of Neural Engineering, 2019, 16(1):016005.
[27] Nagai H, Tanaka T. Action observation of own hand movement enhances event-related desynchronization[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(7):1407-1415.
[28] Faller J, Cummings J, Saproo S, et al. Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task[J]. Proceedings of the National Academy of Sciences of the United States of America, 2019, 116(13):6482-6490.
[29] Rashkov G, Bobe A, Fastovets D, et al. Natural image reconstruction from brain waves:A novel visual BCI system with native feedback[J]. bioRxiv, 2019:10.1101/787101.
[30] Zhao H, Wang Y, Liu Z, et al. Individual identification based on code-modulated visual-evoked potentials[J]. IEEE Transactions on Information Forensics and Security, 2019, 14(12):3206-3216.
[31] Yao Z, Wang Y, Yang C, et al. An online brain-computer interface in mobile virtual reality environments[J]. Integrated Computer-Aided Engineering, 2019, 26(4):345-360.
[32] Chen X, Hu N, Wang Y, et al. Validation of a braincomputer interface version of the digit symbol substitution test in healthy subjects[J]. Computers in Biology and Medicine, 2020, 120:103729.
[33] Chang E F, Anumanchipalli G K. Toward a speech neuroprosthesis[J]. JAMA, 2020, 323(5):413-414.
[34] Liu B, Huang X, Wang Y, et al. BETA:A large benchmark database toward SSVEP-BCI application[J]. Frontiers in Neuroscience, 2020, 14:627.
[35] Flesher S N, Downey J E, Weiss JM, et al. Restored tactile sensation improves neuroprosthetic arm control[J]. bioRxiv, 2019:10.1101/653428.
[36] Xiao Y, Jia Y, Cheng X, et al. I can see your brain:Investigating home-use electroencephalography system security[J]. IEEE Internet of Things Journal, 2019, 6(4):6681-6691.