Abstract Background According to Bayesian hypotheses, individuals with Autism Spectrum
Disorder (ASD) have difficulties making accurate predictions about their environment. In …

Bayesian theories of autism spectrum disorders (ASD) suggest that atypical predictive
mechanisms could underlie the autistic symptomatology, but little is known about their …

Background Recent predictive coding accounts of autism spectrum disorder (ASD) suggest
that a key deficit in ASD concerns the inflexibility in modulating local prediction errors as a …

Autism spectrum disorder currently lacks an explanation that bridges cognitive,
computational, and neural domains. In the past 5 years, progress has been sought in this …

Background Bayesian theories of perception have provided a variety of alternative
mechanistic explanations for autistic symptoms, including (1) overprecise sensations,(2) …

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 …

Predictive coding theories of autism suggest that symptoms could result from an atypical
learning of expectations. We assessed whether adults with autism could learn expectations …

Diagnosis and individualized treatment of autism spectrum disorder (ASD) represent major
problems for contemporary psychiatry. Tackling these problems requires guidance by a …

According to a recent influential proposal, several phenotypic features of autism spectrum
disorder (ASD) may be accounted for by differences in predictive skills between individuals …

The excitatory‐inhibitory imbalance hypothesis postulates dysregulation of the gamma‐
aminobutyric acid (GABA) and glutamate (Glu) neurotransmitter systems as a common …