Noise, multisensory integration, and previous response in perceptual disambiguation
Fig 4
Perceptual classification model.
A. Model. Visual motion energy is first computed from the stimuli through motion energy filters, and the result is linearly integrated with the auditory information and recent perceptual memory into a single estimate to determine the Z-score of streaming/bouncing responses. B. Scatterplot of empirical vs. predicted responses for the aggregate observer. Each dot is the average of 608 responses. Light red area represents the 99% confidence interval of the identity line. C. Luminance and contrast kernels calculated from the model responses. D. Cross-correlation between predicted and empirical kernels. The red lines represent the thresholds for statistical significance (p = 0.05) as calculated based on the permutation test.