 This is the basic premise on which Bayesian theories of cortical processing will succeed or fail—that the brain represents information probabilistically, by coding and computing with probability density functions or approximations to probability density functions…The opposing view is that neural representations are deterministic and discrete, which might be intuitive but also misleading. This intuition might be due to the apparent ‘oneness’ of our perceptual world and the need to ‘collapse’ perceptual representations into discrete actions, such as decisions or motor behaviors. (Knill &amp; Pouget 2004)