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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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| Veröffentlicht in: | Neuropsychiatr Electrophysiol |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | 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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