Dynamic causal modeling with neural fields

► Neural field models are used as generative models in dynamic causal modelling (DCM). ► Relation between neural field and mass models is elucidated. ► Neural field models provide better explanations of empirical data. ► Bayesian model selection can distinguish between field and mass formulations. ► Spatial dynamics parameters obtained in the absence of explicit spatial information.