Fig. 3: The model quantitatively explains human perception of nested and ambiguous motion scenes. | Nature Communications

Fig. 3: The model quantitatively explains human perception of nested and ambiguous motion scenes.

From: Visual motion perception as online hierarchical inference

Fig. 3

a Stochastic motion stimulus from Yang et al.17 consisting of three dots rotating on a circle. b Each trial followed one of four motion structures. If clustered motion was present (C or H structure), any pair of dots could form the cluster. c Confusion matrix of human responses, averaged over all 12 participants. d Models for predicting human responses. Yang et al. employed a Bayesian ideal observer as the basis for fitting a participant-specific choice model. Our model, in contrast, calculates the likelihood for each structure from the motion strengths, λt, at trial end and then fits the same choice model as Yang et al. for translating probabilities into human responses. e Confusion matrix of our model. f Log-likelihood of human responses relative to chance level, for both models. The analyses in panels e and f are leave-one-out cross-validated to prevent overfitting. Source data are provided as a Source Data file.

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