A Constraint Satisfaction Model for Perception of Ambiguous Stimuli
Marc VanHeyningen, Bruce James MacLennan · 1992
Constraint satisfaction networks are natural models of the interpretation of ambiguous stimuli, such as Necker cubes. Previous constraint satisfaction models have stimulated the initial interpretation of a stimulus, but have not simulated the dynamics of perception, which includes the alternation of interpretations and the phenomena known as bias, adaptation and hysteresis. In this paper we show that these phenomena can be modeled by a constraint satisfaction network {\it with fatigue}, that is, a network in which unit activities decay in time. Although our model is quite simple, it nevertheless exhibits some key characteristics of the dynamics of perception.