Cargando…
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....
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2018
|
| Materias: | |
| 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 |