ArticleeLife2022
A neural mechanism for detecting object motion during self-motion.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Reassessing Choice Probability: What 59 Macaque Studies Tell Us About Decision-Related Activity in Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Flexible computation of object motion and depth based on viewing geometry inferred from optic flow.Nature communications · 2025Article
- Distinct temporal dynamics of judging scene-relative object motion and estimating heading from optic flow.Journal of vision · 2025Article
- Multisensory coding of self-motion and its contribution to navigation.Nature reviews. Neuroscience · 2025Review
- Seeing a Three-Dimensional World in Motion: How the Brain Computes Object Motion and Depth During Self-Motion.Annual review of vision science · 2025Review
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- Hierarchical and distinct biological motion processing in macaque visual cortical areas MT and MST.Communications biology · 2025Article
- Is the impact of spontaneous movements on early visual cortex species specific?Trends in neurosciences · 2025Review
- Neural sensitivity to translational self- and object-motion velocities.Human brain mapping · 2024Article
- Temporal and spatial properties of vestibular signals for perception of self-motion.Frontiers in neurology · 2023Review
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- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Detection of objects that move in a scene is a fundamental computation performed by the visual system. This computation is greatly complicated by observer motion, which causes most objects to move across the retinal image. How the visual system detects scene-relative object motion during self-motion is poorly understood. Human behavioral studies suggest that the visual system may identify local conflicts between motion parallax and binocular disparity cues to depth and may use these signals to detect moving objects. We describe a novel mechanism for performing this computation based on neurons in macaque middle temporal (MT) area with incongruent depth tuning for binocular disparity and motion parallax cues. Neurons with incongruent tuning respond selectively to scene-relative object motion, and their responses are predictive of perceptual decisions when animals are trained to detect a moving object during self-motion. This finding establishes a novel functional role for neurons with incongruent tuning for multiple depth cues.
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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.