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| We study the dynamics of perceptual switching in ambiguous visual scenes that admit more than two interpretations. We focus on visual plaids that are tristable and we present both experimental and computational results. We developed a firing-rate model based on mutual inhibition and adaptation that involves stochastic dynamics of multiple-attractor systems. The model can account for the dynamical properties (transition probabilities, distributions of percept durations, etc) observed in the experiments. Noise and adaptation have been shown to both play a role in the dynamics of bistable perception. Here, tristable perception allows us to specify the role of noise and adaptation in our model. Noise is critical when considering the time of a switch. However, adaptation mechanisms are critical
when considering perceptual choice (in tristable perception, each time a percept ends, there is a possible choice between two new percepts). |
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