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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | 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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