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Information spreading by a combination of MEG source estimation and multivariate pattern classification
To understand information representation in human brain activity, it is important to investigate its fine spatial patterns at high temporal resolution. One possible approach is to use source estimation of magnetoencephalography (MEG) signals. Previous studies have mainly quantified accuracy of this...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6005563/ https://ncbi.nlm.nih.gov/pubmed/29912968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0198806 |
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