Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism

Abstract Background Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be imp...

Full description

Saved in:
Bibliographic Details
Main Authors: Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Molecular Autism
Subjects:
Online Access:https://doi.org/10.1186/s13229-025-00639-3
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832594698300030976
author Laurina Fazioli
Bat-Sheva Hadad
Rachel N. Denison
Amit Yashar
author_facet Laurina Fazioli
Bat-Sheva Hadad
Rachel N. Denison
Amit Yashar
author_sort Laurina Fazioli
collection DOAJ
description Abstract Background Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited. Critically, previous studies did not assess the independent contributions of priors and sensory uncertainty to the inference. Method We addressed this gap by quantitatively assessing both the independent and interdependent contributions of priors and sensory uncertainty to perceptual decision-making in autistic and non-autistic individuals (N = 126) during an orientation categorization task. Results Contrary to common views, autistic individuals integrated the two Bayesian components into their decision behavior, and did so indistinguishably from non-autistic individuals. Both groups adjusted their decision criteria in a suboptimal manner. Limitations This study focuses on explicit priors in a perceptual categorization task and high-functioning adults. Thus, although the findings provide strong evidence against a general and basic alteration in prior integration in autism, they cannot rule out more specific cases of reduced prior effect – such as due to implicit prior learning, particular level of decision making (e.g., social), and level of functioning of the autistic person. Conclusions These results reveal intact inference for autistic individuals during perceptual decision-making, challenging the notion that Bayesian computations are fundamentally altered in autism.
format Article
id doaj-art-755717354e5a4b79a337757b90187901
institution Kabale University
issn 2040-2392
language English
publishDate 2025-01-01
publisher BMC
record_format Article
series Molecular Autism
spelling doaj-art-755717354e5a4b79a337757b901879012025-01-19T12:25:53ZengBMCMolecular Autism2040-23922025-01-0116111410.1186/s13229-025-00639-3Suboptimal but intact integration of Bayesian components during perceptual decision-making in autismLaurina Fazioli0Bat-Sheva Hadad1Rachel N. Denison2Amit Yashar3Department of Special Education, University of HaifaDepartment of Special Education, University of HaifaDepartment of Psychological and Brain Sciences, Boston UniversityDepartment of Special Education, University of HaifaAbstract Background Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited. Critically, previous studies did not assess the independent contributions of priors and sensory uncertainty to the inference. Method We addressed this gap by quantitatively assessing both the independent and interdependent contributions of priors and sensory uncertainty to perceptual decision-making in autistic and non-autistic individuals (N = 126) during an orientation categorization task. Results Contrary to common views, autistic individuals integrated the two Bayesian components into their decision behavior, and did so indistinguishably from non-autistic individuals. Both groups adjusted their decision criteria in a suboptimal manner. Limitations This study focuses on explicit priors in a perceptual categorization task and high-functioning adults. Thus, although the findings provide strong evidence against a general and basic alteration in prior integration in autism, they cannot rule out more specific cases of reduced prior effect – such as due to implicit prior learning, particular level of decision making (e.g., social), and level of functioning of the autistic person. Conclusions These results reveal intact inference for autistic individuals during perceptual decision-making, challenging the notion that Bayesian computations are fundamentally altered in autism.https://doi.org/10.1186/s13229-025-00639-3Autism spectrum disorderDecision-makingBayesian perceptionSuboptimality
spellingShingle Laurina Fazioli
Bat-Sheva Hadad
Rachel N. Denison
Amit Yashar
Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
Molecular Autism
Autism spectrum disorder
Decision-making
Bayesian perception
Suboptimality
title Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
title_full Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
title_fullStr Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
title_full_unstemmed Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
title_short Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
title_sort suboptimal but intact integration of bayesian components during perceptual decision making in autism
topic Autism spectrum disorder
Decision-making
Bayesian perception
Suboptimality
url https://doi.org/10.1186/s13229-025-00639-3
work_keys_str_mv AT laurinafazioli suboptimalbutintactintegrationofbayesiancomponentsduringperceptualdecisionmakinginautism
AT batshevahadad suboptimalbutintactintegrationofbayesiancomponentsduringperceptualdecisionmakinginautism
AT rachelndenison suboptimalbutintactintegrationofbayesiancomponentsduringperceptualdecisionmakinginautism
AT amityashar suboptimalbutintactintegrationofbayesiancomponentsduringperceptualdecisionmakinginautism