Disentangling signal and noise in autism spectrum disorder
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.
|Keywords||Autism spectrum disorder, Bayesian perception, Coherent motion, Motion perception, Perceptual integration, Predictive coding|
|Persistent URL||dx.doi.org/10.1016/j.bandc.2016.08.004, hdl.handle.net/1765/108644|
|Journal||Brain and Cognition|
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