Bistable perception modeled as competing stochastic integrations at two levels.
We propose a novel explanation for bistable perception, namely, the collective dynamics of multiple neural populations that are individually meta-stable.Distributed representations of sensory input and of perceptual state build gradually through noise-driven transitions in these populations, until the competition between alternative representations