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.

Autism spectrum disorder, Bayesian perception, Coherent motion, Motion perception, Perceptual integration, Predictive coding,
Brain and Cognition
Erasmus School of Social and Behavioural Sciences

Van de Cruys, S. (Sander), van der Hallen, R.E.R, & Wagemans, J. (2017). Disentangling signal and noise in autism spectrum disorder. Brain and Cognition, 112, 78–83. doi:10.1016/j.bandc.2016.08.004