ArticlePLoS computational biology2023
Testing predictive coding theories of autism spectrum disorder using models of active inference.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Minimal Differences in Auditory and Visual Oddball Tasks in Autism: A Systematic Review and Meta-Analysis.Journal of autism and developmental disorders · 2026Pooled it
- Pain Expectation in Individuals With High Autistic Traits: Decision-Evaluation Processes and Oxytocin Modulation.Annals of the New York Academy of Sciences · 2026Article
- Reduced Dissociation Between Perception and Action in Autistic Individuals.Journal of autism and developmental disorders · 2026Article
- Hidden State Inference or Continuous Belief Updating during a Dynamic Visuomotor Skill.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- The predictive processing embodied in brain conditions: the role of precision.Frontiers in psychology · 2026Article
- Intolerance of Uncertainty Mediates the Relationship Between Autistic Traits and a Propensity for Deliberation.Journal of autism and developmental disorders · 2025Article
- The Relationship Between Environmental Statistics and Predictive Gaze Behaviour During a Manual Interception Task: Eye Movements as Active Inference.Computational brain & behavior · 2024Article
- A theory of autism bridging across levels of description.Trends in cognitive sciences · 2023Review
- Individuals with autism have difficulties learning implicit sequences of social interactions that require mentalizing.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several competing neuro-computational theories of autism have emerged from predictive coding models of the brain. To disentangle their subtly different predictions about the nature of atypicalities in autistic perception, we performed computational modelling of two sensorimotor tasks: the predictive use of manual gripping forces during object lifting and anticipatory eye movements during a naturalistic interception task. In contrast to some accounts, we found no evidence of chronic atypicalities in the use of priors or weighting of sensory information during object lifting. Differences in prior beliefs, rates of belief updating, and the precision weighting of prediction errors were, however, observed for anticipatory eye movements. Most notably, we observed autism-related difficulties in flexibly adapting learning rates in response to environmental change (i.e., volatility). These findings suggest that atypical encoding of precision and context-sensitive adjustments provide a better explanation of autistic perception than generic attenuation of priors or persistently high precision prediction errors. Our results did not, however, support previous suggestions that autistic people perceive their environment to be persistently volatile.
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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.