Topic: distributed distributional code (DDC)

Animals learn to reason and act successfully based on internal estimates of the state of their environment and their relationship to it. Such perceptual estimation is complicated by noise and ambiguity in sensory signals, but many experiments demonstrate behaviour (in humans and other animals) that accounts near optimally for the resulting uncertainty. Theories of how distributional uncertainty may be represented in neuronal activity have largely focused on competing views of the parametric or stochastic form of the belief representation, and less on how individual codes might be adapted to th