ArticleScientific reports2021
Human visual motion perception shows hallmarks of Bayesian structural inference.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Hemifield-Specific Motion Extrapolation Reveals Limits of Interhemispheric Integration.eNeuro · 2026Article
- Environmental motion presented ahead of self-motion modulates heading direction estimation.PLoS computational biology · 2025Article
- Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection.PLoS computational biology · 2025Article
- Hierarchical motion perception as causal inference.Nature communications · 2025Article
- Sonic Sleight of Hand: Sound Induces Illusory Distortions in the Perception and Prediction of Robot Action.International journal of social robotics · 2025Article
- Causal inference predicts the transition from integration to segmentation in motion perception.Scientific reports · 2024Article
- Hierarchical Constraints on the Distribution of Attention in Dynamic Displays.Behavioral sciences (Basel, Switzerland) · 2024Article
- Causal inference during closed-loop navigation: parsing of self- and object-motion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Causal inference during closed-loop navigation: parsing of self- and object-motion.bioRxiv : the preprint server for biology · 2023Article
- A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data.eNeuro · 2023Review
- Visual motion perception as online hierarchical inference.Nature communications · 2022Article
- Color Modulates Feature Integration.Frontiers in psychology · 2021Article
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Authors and funding
4 authors.
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Abstract
Motion relations in visual scenes carry an abundance of behaviorally relevant information, but little is known about how humans identify the structure underlying a scene's motion in the first place. We studied the computations governing human motion structure identification in two psychophysics experiments and found that perception of motion relations showed hallmarks of Bayesian structural inference. At the heart of our research lies a tractable task design that enabled us to reveal the signatures of probabilistic reasoning about latent structure. We found that a choice model based on the task's Bayesian ideal observer accurately matched many facets of human structural inference, including task performance, perceptual error patterns, single-trial responses, participant-specific differences, and subjective decision confidence-especially, when motion scenes were ambiguous and when object motion was hierarchically nested within other moving reference frames. Our work can guide future neuroscience experiments to reveal the neural mechanisms underlying higher-level visual motion perception.
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