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 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…
Can you measure EEG in the Cerebellum?
The cerebellum has four times as many cells as the neocortex and possible roles in everything from movement to cognition and emotion but is much…
Solving the EEG/MEG Inverse Problem with Beamformers
Beamformers, a technique adapted from radar applications, are a type of spatial filtering approach to solving the inverse problem in EEG and MEG. Here are…