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Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented as a spatially fixed pattern of activation, which leads to the instantaneous mixing model. To allow modeling patterns of spatio-t...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2006
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2916201/ https://ncbi.nlm.nih.gov/pubmed/20689619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2005.12.029 |
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