Difference-based Causal Models: Bridging the gap between Granger causality and DCMs

The study of causality in the brain, or effective connectivity, has become increasingly important in the field of computational neuroscience and DCM is the practice of modeling neurological activation with a set of continuous-time differential equations and using data to fit the coupling parameters of the model.