Figure 2.

Buildup as an alternating renewal process. (A) Visualization of the alternating renewal process producing a buildup function. We used gamma probability density functions for duration distributions to construct Monte Carlo simulations. The simulated durations were drawn from gamma density functions with parameters α₀ = 1.45, μ₀ = 4.73 (grouped percept) and α₁ = 2.08, μ₁ = 10.65 (split percept), in the range of those typically reported in the psychophysical literature. The analytical solution to the alternating renewal process model, shown as a red solid curve (bottom), allows us to predict the buildup function solely from the distributions of dominance durations of each of the perceptual states. (B) Monte Carlo simulation computed buildup function of 1000 trials (blue) approaches the theoretical solution (red).