The Development of Audio-Visual Integration for Temporal Judgements
Fig 6
Example (a) Uni-modal visual (green) and auditory (red) likelihoods. (b) On visual trials, the observer samples from the visual estimator with probability pF, and from the auditory estimator with probability 1 − pF. On auditory trials, these probabilities, or weights are reversed. The resultant likelihoods are shown in (c). Similarly to the PI model, posterior distributions (d, e, solid lines) are created by combining these likelihoods with a prior (black) over the number of events. All plots show the averaged model fit, averaged across the set of observers (N = 25) who were best characterised by the Focal Switching model.