Modeling second-order boundary perception: A machine learning approach
Fig 8
Double-pass analysis for 5 observers in Experiment 1-VAR.
(a) Models operating in deterministic (DET) mode for three different downsampling rules. Left panels: Observer-observer (horizontal axis) and observer-model (vertical axis) proportion agreement on the double-pass set. Error bars denote 95% binomial proportion confidence intervals. Right panels: Difference between observer-observer and observer-model proportion agreement for each of 5 observers. Error bars denote 95% binomial proportion difference confidence intervals. (b) Same as (a), but for model with AVG downsampling operating in stochastic mode (AVG-STO).