References
[1]
Makin TR, Micera S, Miller LE. Neurocognitive and motor-control challenges for the realization of bionic augmentation. Nat Biomed Eng 2023, 7(4): 344–348. .
[2]
Flesher SN, Downey JE, Weiss JM, et al. A brain-computer interface that evokes tactile sensations improves robotic arm control. Science 2021, 372(6544): 831–836. .
[3]
Fabiani GE, McFarland DJ, Wolpaw JR, et al. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI). IEEE Trans Neural Syst Rehabil Eng 2004, 12(3): 331–338. .
[4]
Willett FR, Avansino DT, Hochberg LR, et al. High-performance brain-to-text communication via handwriting. Nature 2021, 593(7858): 249–254. .
[5]
Bernabei JM, Arnold TC, Shah P, et al. Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models. Brain Commun 2021, 3(3): fcab156. .
[6]
Cao ZH. A review of artificial intelligence for EEG-based brain–computer interfaces and applications. Brain Sci Adv 2020, 6(3): 162–170. .
[7]
Ganzer PD, Colachis SC 4th, Schwemmer MA, et al. Restoring the sense of touch using a sensorimotor demultiplexing neural interface. Cell 2020, 181(4): 763–773.e12. .
[8]
Keller AJ, Roth MM, Scanziani M. Feedback generates a second receptive field in neurons of the visual cortex. Nature 2020, 582(7813): 545–549. .
[9]
Grossman N, Bono D, Dedic N, et al. Noninvasive deep brain stimulation via temporally interfering electric fields. Cell 2017, 169(6): 1029–1041.e16. .
[10]
Reinhart RMG, Nguyen JA. Working memory revived in older adults by synchronizing rhythmic brain circuits. Nat Neurosci 2019, 22(5): 820–827. .
[11]
Violante IR, Alania K, Cassarà AM, et al. Non-invasive temporal interference electrical stimulation of the human hippocampus. Nat Neurosci 2023, 26(11): 1994–2004. .
[12]
Shan YZ, Wang HX, Yang YF, et al. Evidence of a large current of transcranial alternating current stimulation directly to deep brain regions. Mol Psychiatry 2023: Published online July 19. .
[13]
Cash RFH, Cocchi L, Lv JL, et al. Functional magnetic resonance imaging-guided personalization of transcranial magnetic stimulation treatment for depression. JAMA Psychiatry 2021, 78(3): 337–339. .
[14]
Folloni D, Verhagen L, Mars RB, et al. Manipulation of subcortical and deep cortical activity in the primate brain using transcranial focused ultrasound stimulation. Neuron 2019, 101(6): 1109–1116.e5. .
[15]
Lian CF, Liu MX, Zhang J, et al. Hierarchical fully convolutional network for joint atrophy localization and Alzheimer’s disease diagnosis using structural MRI. IEEE Trans Pattern Anal Mach Intell 2020, 42(4): 880–893. .
[16]
Saxe A, Nelli S, Summerfield C. If deep learning is the answer, what is the question? Nat Rev Neurosci 2021, 22(1): 55–67. .
[17]
Boutet A, Madhavan R, Elias GJB, et al. Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning. Nat Commun 2021, 12(1): 3043. .
[18]
Naser MA, Deen MJ. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images. Comput Biol Med 2020, 121: 103758. .
[19]
Amunts K, Lippert T. Brain research challenges supercomputing. Science 2021, 374(6571): 1054–1055. .