Perception as forward and backwards inference over states. Perception here corresponds to estimation of hidden state density given known motor efference copy and sensory input . Here, forward estimates about previous states (i.e., from forward inference) can be improved upon using more recent efference copy and sensory information . These so-called postdictive estimates may be useful in, for example, visual perception.
