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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Detalles Bibliográficos
Autores principales: Friston, K.J., Bastos, A., Litvak, V., Stephan, K.E., Fries, P., Moran, R.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2012
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200431/
https://www.ncbi.nlm.nih.gov/pubmed/21820062
http://dx.doi.org/10.1016/j.neuroimage.2011.07.048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200431/
https://www.ncbi.nlm.nih.gov/pubmed/21820062
http://dx.doi.org/10.1016/j.neuroimage.2011.07.048

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