From: Optimal inference explains the perceptual coherence of visual motion stimuli
Journal of Vision. 2011;11(6):14. doi:10.1167/11.6.14
Figure Legend:
Quantitative comparison of models. (a) Normalized mean log-probability of the psychophysical data of the four subjects
for the three different estimator models. These probabilities are expressed on a scale that varies from the value obtained
for a random (“coin-flipping”) model to one that knows the probability of coherent responses for each stimulus condition
(“omniscient”). (b) Negative of the Bayesian information criterion of the same data for the same estimator models. The
values for the coin-flipping model for each subject are shown as horizontal lines.
Date of download: 7/12/2017
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