Structural and contextual priors affect visual search in children with and without autism.

Autor: Van de Cruys S; Laboratory of Experimental Psychology, KU Leuven, Leuven, Belgium.; Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium., Lemmens L; Laboratory of Experimental Psychology, KU Leuven, Leuven, Belgium.; Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium., Sapey-Triomphe LA; Laboratory of Experimental Psychology, KU Leuven, Leuven, Belgium.; Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium., Chetverikov A; Visual Computation Lab, Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands., Noens I; Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium.; Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium., Wagemans J; Laboratory of Experimental Psychology, KU Leuven, Leuven, Belgium.; Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium.
Jazyk: angličtina
Zdroj: Autism research : official journal of the International Society for Autism Research [Autism Res] 2021 Jul; Vol. 14 (7), pp. 1484-1495. Date of Electronic Publication: 2021 Apr 02.
DOI: 10.1002/aur.2511
Abstrakt: Bayesian predictive coding theories of autism spectrum disorder propose that impaired acquisition or a broader shape of prior probability distributions lies at the core of the condition. However, we still know very little about how probability distributions are learned and encoded by children, let alone children with autism. Here, we take advantage of a recently developed distribution learning paradigm to characterize how children with and without autism acquire information about probability distributions. Twenty-four autistic and 25-matched neurotypical children searched for an odd-one-out target among a set of distractor lines with orientations sampled from a Gaussian distribution repeated across multiple trials to allow for learning of the parameters (mean and variance) of the distribution. We could measure the width (variance) of the participant's encoded distribution by introducing a target-distractor role-reversal while varying the similarity between target and previous distractor mean. Both groups performed similarly on the visual search task and learned the distractor distribution to a similar extent. However, the variance learned was much broader than the one presented, consistent with less informative priors in children irrespective of autism diagnosis. These findings have important implications for Bayesian accounts of perception throughout development, and Bayesian accounts of autism specifically. LAY SUMMARY: Recent theories about the underlying cognitive mechanisms of autism propose that the way autistic individuals estimate variability or uncertainty in their perceptual environment may differ from how typical individuals do so. Children had to search an oddly tilted line in a set of lines pointing in different directions, and based on their response times we examined how they learned about the variability in a set of objects. We found that autistic children learn variability as well as typical children, but both groups learn with less precision than typical adults do on the same task.
(© 2021 International Society for Autism Research and Wiley Periodicals LLC.)
Databáze: MEDLINE
Externí odkaz: