Integration of Neuroimaging: Dynamic Causal Modelling for fMRI and EEG Data
This lecture involves the application of dynamic causal modelling (DCM) to neuroimaging data acquired using fMRI and EEG. Various state-space models are discussed along with the requisite Bayesian model comparison.
This lesson corresponds to slides 91-157 of the PDF below.
- Neural ensemble dynamics
- Dynamic Causal Modeling (DCM)
- Neuronal vs. BOLD signal