title: Disentangling signal and noise in autism spectrum disorder.
abstract: Predictive coding has recently been welcomed as a fruitful framework to understand autism spectrum disorder. Starting from an account centered on deficient differential weighting of prediction errors (based in so-called precision estimation), we illustrate that individuals with autism have particular difficulties with separating signal from noise, across different tasks. Specifically, we discuss how deficient precision-setting is detrimental for learning in unstable environments, for context-dependent assignment of salience to inputs, and for robustness in perception, as illustrated in coherent motion paradigms.
authors.affiliation: Laboratory of Experimental Psychology, Brain & Cognition, KU Leuven, 3000 Leuven, Belgium; Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium. Electronic address: sander.vandecruys@kuleuven.be.
authors.forename: Sander
authors.initials: S
authors.lastname: Van de Cruys
authors.affiliation: Laboratory of Experimental Psychology, Brain & Cognition, KU Leuven, 3000 Leuven, Belgium; Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium; Child and Adolescent Psychiatry, UPC KU Leuven, 3000 Leuven, Belgium.
authors.forename: Ruth
authors.initials: R
authors.lastname: Van der Hallen
authors.affiliation: Laboratory of Experimental Psychology, Brain & Cognition, KU Leuven, 3000 Leuven, Belgium; Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium.
authors.forename: Johan
authors.initials: J
authors.lastname: Wagemans
mesh_terms: D000067877:Autism Spectrum Disorder / Q000503:physiopathology*; D001921:Brain / Q000503:physiopathology*; D006801:Humans; D007858:Learning / Q000502:physiology*; D009039:Motion Perception / Q000502:physiology*
keywords: Autism spectrum disorder; Bayesian perception; Coherent motion; Motion perception; Perceptual integration; Predictive coding