Conductance-based Dynamic Causal Modeling: A mathematical review of its application to cross-power spectral densities

Inês Pereira, Stefan Frässle, Jakob Heinzle +4

Dynamic Causal Modeling (DCM) is a Bayesian framework for inferring on hidden (latent) neuronal states, based on measurements of brain activity. Since its introduction in 2003 for…