Fig. 5.

Illustration of priors in DCM. Left: the prior for a ‘switched on’ parameter is a Gaussian probability density with zero mean and non-zero variance. Right: the prior for a ‘switched off’ parameter has zero or close-to-zero variance, meaning the parameter is fixed at the prior expectation, which is typically zero.