Random Switching and Optimal Processing in the Perception of Ambiguous Signals

The optimal interpretation of noisy data is a compromise between the data and our prior expectations. In the case of ambiguous signals, like the Necker cube, trajectories of the optimal interpretation map to configurations of a random field Ising model. This analogy provides at least a qualitative account of several robust phenomena in human perception of ambiguous stimuli.