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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.

Topics covered in this lesson
  • Neural ensemble dynamics
  • Dynamic Causal Modeling (DCM)
  • Neuronal vs. BOLD signal
Slides (63.53 MB)