Opportunities and Challenges in Applying Generative Methods to Exploring and Validating the Common Model of Cognition

Abstract

Dynamic Causal Modeling (DCM), a generative method for fitting large scale functional connectivity data, has provided a method of validating the architectural network structure proposed by the Common Model of Cognition (CMC). As the CMC expands, however, different methods will be required to handle the increased model complexity. While other generative methods exist that can deal with networks containing larger numbers of modules and connections, and even investigate the plausibility of different connections, a method for comparing these alternative structures will still be needed to make strong conclusions about the connection of the CMC and its variants to the true structure underlying human cognition.