ReviewFrontiers in human neuroscience2013
Learning what to expect (in visual perception).
Review in Frontiers in human neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
78 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review and Meta-analysis of Empirical Evidence for the Simple Bayesian Model of Autism.Neuropsychology review · 2026Pooled it
- Perception of action-outcomes is shaped by life-long and contextual expectations.Scientific reports · 2019Trial
- The Game of Self: Identity and Experience as Active Inference.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026Article
- Two routes to a target: Visual priming for direct and indirect attentional sets.Memory & cognition · 2026Article
- Age-related patterns in the creation of social prediction models: a study using immersive virtual reality.Scientific reports · 2026Article
- Contributions of Distinct Attention Mechanisms to Saccadic Choices in a Gamified, Dynamic Environment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Self images: an empirical enquiry into Rembrandt's self-portraits.Frontiers in psychiatry · 2026Article
- Long-term perceptual priors drive confidence bias that favors prior-congruent evidence.PLoS computational biology · 2025Article
- Low-level features predict perceived similarity for naturalistic images.Journal of vision · 2025Article
- Contributions of distinct attention mechanisms to saccadic choices in a gamified, dynamic environment.bioRxiv : the preprint server for biology · 2025Article
- Investigating orientation adaptation following naturalistic film viewing.Scientific reports · 2025Article
- The "Tetris effect": autistic and non-autistic people share an implicit drive for perceptual cohesion.Molecular autism · 2025Article
- A preliminary investigation of the interaction between expectation and the reflexive allocation of covert spatial attention.Scientific reports · 2025Article
- Attractive and repulsive visual aftereffects depend on stimulus contrast.Journal of vision · 2025Article
- A dissociation between the use of implicit and explicit priors in perceptual inference.Communications psychology · 2024Article
- Predictive learning shapes the representational geometry of the human brain.Nature communications · 2024Article
- Article
- Age-related changes in the susceptibility to visual illusions of size.Scientific reports · 2024Article
- Frequency-specific contributions to auditory perceptual priors: Testing the predictive-coding hypothesis.iScience · 2024Article
- A hole in a piece of cardboard and predictive brain: the incomprehension of modern art in the light of the predictive coding paradigm.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Expectations are known to greatly affect our experience of the world. A growing theory in computational neuroscience is that perception can be successfully described using Bayesian inference models and that the brain is "Bayes-optimal" under some constraints. In this context, expectations are particularly interesting, because they can be viewed as prior beliefs in the statistical inference process. A number of questions remain unsolved, however, for example: How fast do priors change over time? Are there limits in the complexity of the priors that can be learned? How do an individual's priors compare to the true scene statistics? Can we unlearn priors that are thought to correspond to natural scene statistics? Where and what are the neural substrate of priors? Focusing on the perception of visual motion, we here review recent studies from our laboratories and others addressing these issues. We discuss how these data on motion perception fit within the broader literature on perceptual Bayesian priors, perceptual expectations, and statistical and perceptual learning and review the possible neural basis of priors.
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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.