Imperfect Bayesian inference in visual perception
Fig 4
Results from the visual search conditions with short display time.
(A) Left: AIC-based model comparison at the level of single subjects. Each column is a subject and each row is a model. The best model for each subject is indicated in dark blue (ΔAIC = 0). Right: Subject-averaged AIC values relative to the overall best model. The red dashed line indicates the ΔAIC≥10, which is interpreted as “no support”. (B) False-alarm rates (red) and hit rates conditioned on whether the target had high reliability (blue) or low reliability (green). The subject data (markers) are well accounted for by the Imperfect Bayesian (curves). (C) In all four conditions, the empirical d’ values (black) are lower than the values predicted by the Flawless Bayesian model (red). The average ratio between the d’ values is 0.808±0.037.