Modeling second-order boundary perception: A machine learning approach
Fig 6
Psychometric functions for two versions of model (DET, STO), for three representative human observers (AMA, SEL, VHB) in Experiment 1-VAR.
Blue lines denote human observer performance on the test set (stimuli not used for model estimation) as a function of modulation depth, together with 95% binomial proportion confidence intervals (+/- 1.96 SEM, blue dashed lines). Red and green lines denote model predictions for test stimuli for different Bayesian priors (red: ridge; green: ridge + smooth). Left column shows model operating deterministically (DET), right column shows model operating stochastically (STO).