Machine learning identification of EEG features predicting working memory performance in schizophren...
Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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
. The utility of machine learning was investigated as a computational framework for extracting the most...
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Full title
Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4928381
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4928381
Other Identifiers
ISSN
2055-4788
E-ISSN
2055-4788
DOI
10.1186/s40810-016-0017-0
