10 years of Bayesian theories of autism: a comprehensive review

NA Chrysaitis, P Seriès - Neuroscience & Biobehavioral Reviews, 2023 - Elsevier
Ten years ago, Pellicano and Burr published one of the most influential articles in the study
of autism spectrum disorders, linking them to aberrant Bayesian inference processes in the …

Precise minds in uncertain worlds: predictive coding in autism.

S Van de Cruys, K Evers, R Van der Hallen… - Psychological …, 2014 - psycnet.apa.org
There have been numerous attempts to explain the enigma of autism, but existing
neurocognitive theories often provide merely a refined description of 1 cluster of symptoms …

Adults with autism overestimate the volatility of the sensory environment

RP Lawson, C Mathys, G Rees - Nature neuroscience, 2017 - nature.com
Insistence on sameness and intolerance of change are among the diagnostic criteria for
autism spectrum disorder (ASD), but little research has addressed how people with ASD …

Toward a second-person neuroscience1

L Schilbach, B Timmermans, V Reddy… - Behavioral and brain …, 2013 - cambridge.org
In spite of the remarkable progress made in the burgeoning field of social neuroscience, the
neural mechanisms that underlie social encounters are only beginning to be studied and …

Motor abilities in autism: a review using a computational context

E Gowen, A Hamilton - Journal of autism and developmental disorders, 2013 - Springer
Altered motor behaviour is commonly reported in Autism Spectrum Disorder, but the
aetiology remains unclear. Here, we have taken a computational approach in order to break …

[HTML][HTML] Should we change targets and methods of early intervention in autism, in favor of a strengths-based education?

L Mottron - European child & adolescent psychiatry, 2017 - Springer
Early intensive behavioral intervention (EIBI) and its recent variant, naturalist developmental
behavioral intervention (NDBI) aim to increase socialization and communication, and to …

Memory in autistic spectrum disorder.

J Boucher, A Mayes, S Bigham - Psychological bulletin, 2012 - psycnet.apa.org
Behavioral evidence concerning memory in forms of high-functioning autism (HFA) and in
moderately low-functioning autism (M-LFA) is reviewed and compared. Findings on M-LFA …

[HTML][HTML] Statistical learning in specific language impairment and autism spectrum disorder: A meta-analysis

R Obeid, PJ Brooks, KL Powers… - Frontiers in …, 2016 - frontiersin.org
Impairments in statistical learning might be a common deficit among individuals with Specific
Language Impairment (SLI) and Autism Spectrum Disorder (ASD). Using meta-analysis, we …

The multi-component nature of statistical learning

J Arciuli - … Transactions of the Royal Society B: Biological …, 2017 - royalsocietypublishing.org
The central argument presented in this paper is that statistical learning (SL) is an ability
comprised of multiple components that operate largely implicitly. Components relating to the …

[HTML][HTML] Facing the challenge of teaching emotions to individuals with low-and high-functioning autism using a new serious game: a pilot study

S Serret, S Hun, G Iakimova, J Lozada, M Anastassova… - Molecular autism, 2014 - Springer
Background It is widely accepted that emotion processing difficulties are involved in Autism
Spectrum Conditions (ASC). An increasing number of studies have focused on the …