Comparison of two integration methods for dynamic causal modeling of electrophysiological data

Dynamic causal modeling (DCM) is a methodological approach to study effective connectivity among brain regions. Based on a set of observations and a biophysical model of brain interactions, DCM uses a Bayesian framework to estimate the posterior distribution of the free parameters of the model (e.g....

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Detalles Bibliográficos
Autores principales: Lemaréchal, Jean-Didier, George, Nathalie, David, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929904/
https://www.ncbi.nlm.nih.gov/pubmed/29462723
http://dx.doi.org/10.1016/j.neuroimage.2018.02.031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929904/
https://www.ncbi.nlm.nih.gov/pubmed/29462723
http://dx.doi.org/10.1016/j.neuroimage.2018.02.031

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