ArticleeLife2018
Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The association between autism and psychosis and the tools used to measure it: An updated systematic review and meta-analysis.The British journal of clinical psychology · 2026Pooled it
- Altered semantic prediction error processing with increasing schizotypal and autistic traits.Translational psychiatry · 2026Article
- Article
- Analysis of Task Demand Effects on Visual and Auditory Mismatch Negativity (MMN) Across Autistic and Schizotypal Traits.The European journal of neuroscience · 2026Article
- Autistic children sample costly information with increased variability due to inflexible updating.Communications psychology · 2026Article
- Reduced Dissociation Between Perception and Action in Autistic Individuals.Journal of autism and developmental disorders · 2026Article
- Prediction-based attention computing: a proof of concept study.Virtual reality · 2026Article
- Development and psychometric validation of a novel, self-report visual processing questionnaire (ViPro-SR) for neurodivergent adults.Current psychology (New Brunswick, N.J.) · 2026Article
- Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration.Neuroinformatics · 2025Article
- Temporal stability of semantic predictions in subclinical autistic and schizotypal personality traits.Schizophrenia (Heidelberg, Germany) · 2025Article
- A common computational and neural anomaly across mouse models of autism.Nature neuroscience · 2025Article
- Autistic traits relate to reduced reward sensitivity in learning from point-light displays (PLDs).Royal Society open science · 2025Article
- Disentangling the perceptual underpinnings of autism: Evidence from a face aftereffects experiment.Autism research : official journal of the International Society for Autism Research · 2025Article
- Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism.Molecular autism · 2025Article
- Peak alpha frequency is linked to visual temporal attention in 6-month-olds.Scientific reports · 2024Article
- Erroneous predictive coding across brain hierarchies in a non-human primate model of autism spectrum disorder.Communications biology · 2024Article
- BCI Toolbox: An open-source python package for the Bayesian causal inference model.PLoS computational biology · 2024Article
- Perceptual confirmation bias and decision bias underlie adaptation to sequential regularities.Journal of vision · 2024Article
- Article
- 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
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent theories propose that schizophrenia/schizotypy and autistic spectrum disorder are related to impairments in Bayesian inference that is, how the brain integrates sensory information (likelihoods) with prior knowledge. However existing accounts fail to clarify: (i) how proposed theories differ in accounts of ASD vs. schizophrenia and (ii) whether the impairments result from weaker priors or enhanced likelihoods. Here, we directly address these issues by characterizing how 91 healthy participants, scored for autistic and schizotypal traits, implicitly learned and combined priors with sensory information. This was accomplished through a visual statistical learning paradigm designed to quantitatively assess variations in individuals' likelihoods and priors. The acquisition of the priors was found to be intact along both traits spectra. However, autistic traits were associated with more veridical perception and weaker influence of expectations. Bayesian modeling revealed that this was due, not to weaker prior expectations, but to more precise sensory representations.
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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.