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Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

BACKGROUND: With millisecond-level resolution, electroencephalographic (EEG) recording provides a sensitive tool to assay neural dynamics of human cognition. However, selection of EEG features used to answer experimental questions is typically determined a priori. The utility of machine learning was...

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Detalhes bibliográficos
Publicado no:Neuropsychiatr Electrophysiol
Main Authors: Johannesen, Jason K., Bi, Jinbo, Jiang, Ruhua, Kenney, Joshua G., Chen, Chi-Ming A.
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4928381/
https://ncbi.nlm.nih.gov/pubmed/27375854
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40810-016-0017-0
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