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Accounting for Linear Transformations of EEG and MEG Data in Source Analysis
Analyses of electro- and magnetoencephalography (EEG, MEG) data often involve a linear modification of signals at the sensor level. Examples include re-referencing of the EEG, computation of synthetic gradiometer in MEG, or the removal of artifactual independent components to clean EEG and MEG data....
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| 出版年: | PLoS One |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4383382/ https://ncbi.nlm.nih.gov/pubmed/25836951 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0121048 |
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