ArticleJournal of vision2020
Optic flow parsing in the macaque monkey.
Article in Journal of vision, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Axes of self-motion and object motion shape how we perceive world-relative motion.Scientific reports · 2026Article
- The effect of unilateral cortical blindness on lane position and gaze behavior in a virtual reality steering task.Scientific reports · 2026Article
- Flexible computation of object motion and depth based on viewing geometry inferred from optic flow.Nature communications · 2025Article
- Environmental motion presented ahead of self-motion modulates heading direction estimation.PLoS computational biology · 2025Article
- Seeing a Three-Dimensional World in Motion: How the Brain Computes Object Motion and Depth During Self-Motion.Annual review of vision science · 2025Review
- Rewarding animals based on their subjective percepts is enabled by online Bayesian estimation of perceptual biases.PLoS biology · 2025Article
- Hierarchical motion perception as causal inference.Nature communications · 2025Article
- A neural mechanism for optic flow parsing in macaque visual cortex.Current biology : CB · 2024Article
- Binocular contributions to motion detection and motion discrimination during locomotion.PloS one · 2024Article
- Hierarchical VAEs provide a normative account of motion processing in the primate brain.bioRxiv : the preprint server for biology · 2023Article
- Walking humans and running mice: perception and neural encoding of optic flow during self-motion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Cortical Mechanisms of Multisensory Linear Self-motion Perception.Neuroscience bulletin · 2023Review
- Causal contribution of optic flow signal in Macaque extrastriate visual cortex for roll perception.Nature communications · 2022Article
- Investigating distortions in perceptual stability during different self-movements using virtual reality.Perception · 2022Article
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
During self-motion, an independently moving object generates retinal motion that is the vector sum of its world-relative motion and the optic flow caused by the observer's self-motion. A hypothesized mechanism for the computation of an object's world-relative motion is flow parsing, in which the optic flow field due to self-motion is globally subtracted from the retinal flow field. This subtraction generates a bias in perceived object direction (in retinal coordinates) away from the optic flow vector at the object's location. Despite psychophysical evidence for flow parsing in humans, the neural mechanisms underlying the process are unknown. To build the framework for investigation of the neural basis of flow parsing, we trained macaque monkeys to discriminate the direction of a moving object in the presence of optic flow simulating self-motion. Like humans, monkeys showed biases in object direction perception consistent with subtraction of background optic flow attributable to self-motion. The size of perceptual biases generally depended on the magnitude of the expected optic flow vector at the location of the object, which was contingent on object position and self-motion velocity. There was a modest effect of an object's depth on flow-parsing biases, which reached significance in only one of two subjects. Adding vestibular self-motion signals to optic flow facilitated flow parsing, increasing biases in direction perception. Our findings indicate that monkeys exhibit perceptual hallmarks of flow parsing, setting the stage for the examination of the neural mechanisms underlying this phenomenon.
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Registered trials
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.