How do you compare and select the best Bayesian model in Dynamic Causal Modeling or DCM of EEG data? In the previous two blogs we…
Bayesian Model Selection For DCM Using EEG
Lab Talk
Dynamic Causal Modelling (DCM): DCM – Neural Mass Models and Bayesian Inference
This post discusses the core components of neural mass models and Bayesian inference in DCM applied to EEG.
Dynamic Causal Modeling and the Application of Bayes Theorem
Dynamic Causal Modeling (DCM) takes a probabilistic Bayesian framework to infer effective or causal connectivity, essentially to model how a stimulus would influence the connectivity…