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Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling

Motor imagery-based brain–computer interfaces (MI-BCIs) send commands to a computer using the brain activity registered when a subject imagines—but does not perform—a given movement. However, inconsistent MI-BCI performance occurs in variations of brain signals across subjects and experiments; this...

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Veröffentlicht in:Front Hum Neurosci
Hauptverfasser: Lee, Minji, Yoon, Jae-Geun, Lee, Seong-Whan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7438792/
https://ncbi.nlm.nih.gov/pubmed/32903663
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2020.00321
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