Causal inference regulates audiovisual spatial recalibration via its influence on audiovisual perception
Fig 8
Model predictions and model comparison.
(A) Observed (circles) and predicted (diamonds) auditory (blue) and visual (pink) final measurement shifts after the recalibration phase based on 1,000 runs using the best-fitting parameters given the causal-inference model (diamonds) as a function of visual reliability for all participants (panels). Error bars: 95% bootstrapped confidence intervals. (B) Model predictions by the fixed-ratio model (triangles in left panel) and the reliability-based model (inverted triangles in right panel) for participant S1. (C) Model comparison indices, smaller values indicate more evidence (RB = reliability-based, FR = fixed ratio, CI = causal inference, = causal inference with supramodal learning rate).