ArticleNature communications2023
Motion direction is represented as a bimodal probability distribution in the human visual cortex.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Intrinsic rewards guide visual resource allocation via reinforcement learning.Nature human behaviour · 2026Article
- Retention interval modulates motion-history biases in visual motion perception.Attention, perception & psychophysics · 2026Article
- A Review of R Packages for Bayesian Model-based Clustering of High-dimensional Multivariate Environmental Exposures.Current environmental health reports · 2026Review
- Motion direction biases around the clock: Learned and in-built direction priors pull perception and pursuit apart.Journal of vision · 2026Article
- Large-scale mega-analysis indicates that serial dependence deteriorates perceptual decision-making.Nature human behaviour · 2026Article
- Parameter estimation of hyper-spherical diffusion models with a time-dependent threshold: An integral equation method.Behavior research methods · 2025Article
- Between repulsion and attraction in serial biases: Replication of Chen and Bae (2024).Journal of vision · 2025Article
- The tilt illusion arises from an efficient reallocation of neural coding resources at the contextual boundary.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Expanding the V1-MT model to the estimation of perceived fluid direction.Scientific reports · 2025Article
- Pupil-Linked Arousal Modulates Precision of Stimulus Representation in Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Motion direction is represented as a bimodal probability distribution in the human visual cortex.Nature communications · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Humans infer motion direction from noisy sensory signals. We hypothesize that to make these inferences more precise, the visual system computes motion direction not only from velocity but also spatial orientation signals - a 'streak' created by moving objects. We implement this hypothesis in a Bayesian model, which quantifies knowledge with probability distributions, and test its predictions using psychophysics and fMRI. Using a probabilistic pattern-based analysis, we decode probability distributions of motion direction from trial-by-trial activity in the human visual cortex. Corroborating the predictions, the decoded distributions have a bimodal shape, with peaks that predict the direction and magnitude of behavioral errors. Interestingly, we observe similar bimodality in the distribution of the observers' behavioral responses across trials. Together, these results suggest that observers use spatial orientation signals when estimating motion direction. More broadly, our findings indicate that the cortical representation of low-level visual features, such as motion direction, can reflect a combination of several qualitatively distinct signals.
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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.