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Left: cascade of events leading to the sensory outcomes. A Gaussian prior (with variance 
) is defined at the level of the cue-outcome association 
. Passed through a sigmoid mapping, this determines the probability of getting a house (
) or a face (
). Finally, this determines the visual outcome 
within the natural range of variation (
) of house/face images. Right: Equivalent graphical model.
