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1
Distributed cortical adaptation during learning of a brain-computer interface task.
Proc Natl Acad Sci U S A. 2013 Jun 25;110(26):10818-23. doi: 10.1073/pnas.1221127110. Epub 2013 Jun 10.
2
BCI Use and Its Relation to Adaptation in Cortical Networks.
IEEE Trans Neural Syst Rehabil Eng. 2017 Oct;25(10):1697-1704. doi: 10.1109/TNSRE.2017.2681963. Epub 2017 Mar 13.
3
Functional disconnection of associative cortical areas predicts performance during BCI training.
Neuroimage. 2020 Apr 1;209:116500. doi: 10.1016/j.neuroimage.2019.116500. Epub 2020 Jan 9.
4
Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill.
PLoS Comput Biol. 2016 Aug 19;12(8):e1004931. doi: 10.1371/journal.pcbi.1004931. eCollection 2016 Aug.
5
Electroencephalography (EEG)-based neurofeedback training for brain-computer interface (BCI).
Exp Brain Res. 2013 Nov;231(3):351-65. doi: 10.1007/s00221-013-3699-6. Epub 2013 Sep 26.
6
Electroencephalographic identifiers of motor adaptation learning.
J Neural Eng. 2017 Aug;14(4):046027. doi: 10.1088/1741-2552/aa6abd.
7
Concurrent control of a brain-computer interface and natural overt movements.
J Neural Eng. 2018 Dec;15(6):066021. doi: 10.1088/1741-2552/aadf3d. Epub 2018 Oct 10.
8
Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery.
J Neural Eng. 2014 Jun;11(3):035010. doi: 10.1088/1741-2560/11/3/035010. Epub 2014 May 19.
9
Neural mechanisms of brain-computer interface control.
Neuroimage. 2011 Apr 15;55(4):1779-90. doi: 10.1016/j.neuroimage.2011.01.021. Epub 2011 Jan 20.

引用本文的文献

1
Brain-computer interfaces as a causal probe for scientific inquiry.
Trends Cogn Sci. 2025 Jul 28. doi: 10.1016/j.tics.2025.06.017.
2
Metaplasticity and continual learning: mechanisms subserving brain computer interface proficiency.
J Neural Eng. 2025 May 23;22(3):036020. doi: 10.1088/1741-2552/add37b.
9
Neural Plasticity in Sensorimotor Brain-Machine Interfaces.
Annu Rev Biomed Eng. 2023 Jun 8;25:51-76. doi: 10.1146/annurev-bioeng-110220-110833. Epub 2023 Feb 28.

本文引用的文献

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Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills.
Nature. 2012 Mar 4;483(7389):331-5. doi: 10.1038/nature10845.
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Co-adaptive calibration to improve BCI efficiency.
J Neural Eng. 2011 Apr;8(2):025009. doi: 10.1088/1741-2560/8/2/025009. Epub 2011 Mar 24.
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Learning to move machines with the mind.
Trends Neurosci. 2011 Feb;34(2):61-75. doi: 10.1016/j.tins.2010.11.003. Epub 2010 Dec 20.
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Machine-learning-based coadaptive calibration for brain-computer interfaces.
Neural Comput. 2011 Mar;23(3):791-816. doi: 10.1162/NECO_a_00089. Epub 2010 Dec 16.
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Evolution of brain-computer interface: action potentials, local field potentials and electrocorticograms.
Curr Opin Neurobiol. 2010 Dec;20(6):741-5. doi: 10.1016/j.conb.2010.09.010. Epub 2010 Oct 15.
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Automated labeling of the human brain: a preliminary report on the development and evaluation of a forward-transform method.
Hum Brain Mapp. 1997;5(4):238-42. doi: 10.1002/(SICI)1097-0193(1997)5:4<238::AID-HBM6>3.0.CO;2-4.
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Cortical activity during motor execution, motor imagery, and imagery-based online feedback.
Proc Natl Acad Sci U S A. 2010 Mar 2;107(9):4430-5. doi: 10.1073/pnas.0913697107. Epub 2010 Feb 16.
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Emergence of a stable cortical map for neuroprosthetic control.
PLoS Biol. 2009 Jul;7(7):e1000153. doi: 10.1371/journal.pbio.1000153. Epub 2009 Jul 21.
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Direct control of paralysed muscles by cortical neurons.
Nature. 2008 Dec 4;456(7222):639-42. doi: 10.1038/nature07418. Epub 2008 Oct 15.
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Two-dimensional movement control using electrocorticographic signals in humans.
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