The first (M, top panel) and second steps (M, bottom panel) of a generative model of increasing complexity. M: A minimal generative model of perception can infer hidden states from an observation , based on prior beliefs (D) and a likelihood mapping (A). M: A generative model of anticipation extends perception (as in M forward into the future (and backward into the past) using a transition matrix () for hidden states.
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