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DCM for complex-valued data: Cross-spectra, coherence and phase-delays
This note describes an extension of Bayesian model inversion procedures for the Dynamic Causal Modeling (DCM) of complex-valued data. Modeling complex data can be particularly useful in the analysis of multivariate ergodic (stationary) time-series. We illustrate this with a generalization of DCM for...
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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: |
Academic Press
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3200431/ https://ncbi.nlm.nih.gov/pubmed/21820062 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.07.048 |
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