Disentangling signal and noise in autism spectrum disorder

摘要: 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 have particular difficulties separating signal noise, across different tasks. Specifically, discuss how precision-setting is detrimental for learning unstable environments, context-dependent assignment salience inputs, and robustness perception, illustrated coherent motion paradigms.