ArticleProceedings of the National Academy of Sciences of the United States of America2020
Hierarchical structure is employed by humans during visual motion perception.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Environmental motion presented ahead of self-motion modulates heading direction estimation.PLoS computational biology · 2025Article
- Hierarchical motion perception as causal inference.Nature communications · 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
- Visual motion perception as online hierarchical inference.Nature communications · 2022Article
- Article
- Temporal and state abstractions for efficient learning, transfer, and composition in humans.Psychological review · 2021Article
- Human visual motion perception shows hallmarks of Bayesian structural inference.Scientific reports · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the real world, complex dynamic scenes often arise from the composition of simpler parts. The visual system exploits this structure by hierarchically decomposing dynamic scenes: When we see a person walking on a train or an animal running in a herd, we recognize the individual's movement as nested within a reference frame that is, itself, moving. Despite its ubiquity, surprisingly little is understood about the computations underlying hierarchical motion perception. To address this gap, we developed a class of stimuli that grant tight control over statistical relations among object velocities in dynamic scenes. We first demonstrate that structured motion stimuli benefit human multiple object tracking performance. Computational analysis revealed that the performance gain is best explained by human participants making use of motion relations during tracking. A second experiment, using a motion prediction task, reinforced this conclusion and provided fine-grained information about how the visual system flexibly exploits motion structure.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.