CDCM is a new MCMC method for dynamic causal modeling that uses a simpler observation model to improve uncertainty quantification and parameter estimation in fMRI effective connectivity analysis.
Assessing parameter identifiability for dynamic causal modeling of fMRI data.Frontiers in Neuroscience
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An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
CDCM is a new MCMC method for dynamic causal modeling that uses a simpler observation model to improve uncertainty quantification and parameter estimation in fMRI effective connectivity analysis.