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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance

Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intrac...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Sci Rep
Κύριοι συγγραφείς: Saboo, Krishnakant V., Varatharajah, Yogatheesan, Berry, Brent M., Kremen, Vaclav, Sperling, Michael R., Davis, Kathryn A., Jobst, Barbara C., Gross, Robert E., Lega, Bradley, Sheth, Sameer A., Worrell, Gregory A., Iyer, Ravishankar K., Kucewicz, Michal T.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Nature Publishing Group UK 2019
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6874617/
https://ncbi.nlm.nih.gov/pubmed/31758077
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-53925-5
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