Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception
Fig 4
Results of the implicit causal inference (left/right inertial discrimination) task. A: Vestibular bias as a function of co-presented visual heading direction svis, at different levels of visual reliability. Bars are ±1 SEM across subjects. The inset shows a cartoon of how the vestibular bias is computed as minus the point of subjective equality of the psychometric curves of left/right responses (L/R PSE) for vestibular stimuli svest, for a representative subject and for a fixed value of svis. The vestibular bias is strongly modulated by svis and its reliability. B: Protected exceedance probability and estimated posterior frequency (mean ± SD) of distinct model components for each model factor. Each factor also displays the Bayesian omnibus risk (BOR). C: Model fits of several models of interests (see text for details). Shaded areas are ±1 SEM of model predictions across subjects. Numbers on top right of each panel report the absolute goodness of fit.