ArticleFrontiers in human neuroscience2016
Learning What to See in a Changing World.
Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Fixation versus periphery in visual awareness: Differential effects of recent perceptual experience.Journal of vision · 2025Article
- Article
- Priming and reversals of the perceived ambiguous orientation of a structure-from-motion shape and relation to personality traits.PloS one · 2022Article
- Psychotic Experiences in Schizophrenia and Sensitivity to Sensory Evidence.Schizophrenia bulletin · 2020Article
- Sustained effects of corrupted feedback on perceptual inference.Scientific reports · 2019Article
- Delusion Proneness is Linked to a Reduced Usage of Prior Beliefs in Perceptual Decisions.Schizophrenia bulletin · 2019Article
- The Neural Correlates of Hierarchical Predictions for Perceptual Decisions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- The influence of action-effect anticipation on bistable perception: differences between onset rivalry and ambiguous motion.Neuroscience of consciousness · 2018Article
- fMRI-based decoding of reward effects in binocular rivalry.Neuroscience of consciousness · 2017Article
- Thought Insertion as a Self-Disturbance: An Integration of Predictive Coding and Phenomenological Approaches.Frontiers in human neuroscience · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Visual perception is strongly shaped by expectations, but it is poorly understood how such perceptual expectations are learned in our dynamic sensory environment. Here, we applied a Bayesian framework to investigate whether perceptual expectations are continuously updated from different aspects of ongoing experience. In two experiments, human observers performed an associative learning task in which rapidly changing expectations about the appearance of ambiguous stimuli were induced. We found that perception of ambiguous stimuli was biased by both learned associations and previous perceptual outcomes. Computational modeling revealed that perception was best explained by a model that continuously updated priors from associative learning and perceptual history and combined these priors with the current sensory information in a probabilistic manner. Our findings suggest that the construction of visual perception is a highly dynamic process that incorporates rapidly changing expectations from different sources in a manner consistent with Bayesian learning and inference.
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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.