ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
The Neural Correlates of Hierarchical Predictions for Perceptual Decisions.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed, 64 citations in OpenAlex.
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- Fixation versus periphery in visual awareness: Differential effects of recent perceptual experience.Journal of vision · 2025Article
- The Anterior Insula Engages in Feature- and Context-Level Predictive Coding Processes for Recognition Judgments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Are prediction error modifications domain specific in autism but domain general in ADHD?Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Anterior insular activity signals perceptual conflicts induced by temporal and spatial context.Neuroscience of consciousness · 2025Article
- Belief inference for hierarchical hidden states in spatial navigation.Communications biology · 2024Article
- Exploring the use of visual predictions in social scenarios while under anticipatory threat.Scientific reports · 2024Article
- Parkinson disease psychosis: from phenomenology to neurobiological mechanisms.Nature reviews. Neurology · 2024Review
- Bayesian accounts of perceptual decisions in the nonclinical continuum of psychosis: Greater imprecision in both top-down and bottom-up processes.PLoS computational biology · 2023Article
- Neural correlates of hierarchical predictive processes in autistic adults.Nature communications · 2023Article
- Microgravity induces overconfidence in perceptual decision-making.Scientific reports · 2023Article
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- Cross-Modality Evidence for Reduced Choice History Biases in Psychosis-Prone Individuals.Schizophrenia bulletin · 2023Article
- A review and perspective on the neural basis of radiological expertise.Journal of clinical imaging science · 2023Review
- Copredication in Context: A Predictive Processing Approach.Cognitive science · 2022Article
- Prediction learning in adults with autism and its molecular correlates.Molecular autism · 2021Article
- Cross-modal auditory priors drive the perception of bistable visual stimuli with reliable differences between individuals.Scientific reports · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sensory information is inherently noisy, sparse, and ambiguous. In contrast, visual experience is usually clear, detailed, and stable. Bayesian theories of perception resolve this discrepancy by assuming that prior knowledge about the causes underlying sensory stimulation actively shapes perceptual decisions. The CNS is believed to entertain a generative model aligned to dynamic changes in the hierarchical states of our volatile sensory environment. Here, we used model-based fMRI to study the neural correlates of the dynamic updating of hierarchically structured predictions in male and female human observers. We devised a crossmodal associative learning task with covertly interspersed ambiguous trials in which participants engaged in hierarchical learning based on changing contingencies between auditory cues and visual targets. By inverting a Bayesian model of perceptual inference, we estimated individual hierarchical predictions, which significantly biased perceptual decisions under ambiguity. Although "high-level" predictions about the cue-target contingency correlated with activity in supramodal regions such as orbitofrontal cortex and hippocampus, dynamic "low-level" predictions about the conditional target probabilities were associated with activity in retinotopic visual cortex. Our results suggest that our CNS updates distinct representations of hierarchical predictions that continuously affect perceptual decisions in a dynamically changing environment.
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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.