|
Title
|
|
|
|
Disentangling signal and noise in autism spectrum disorder
| |
|
Author
|
|
|
|
| |
|
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. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
Brain and cognition. - Orlando, Fla
| |
|
Publication
|
|
|
|
Orlando, Fla
:
2017
| |
|
ISSN
|
|
|
|
0278-2626
| |
|
DOI
|
|
|
|
10.1016/J.BANDC.2016.08.004
| |
|
Volume/pages
|
|
|
|
112
(2017)
, p. 78-83
| |
|
ISI
|
|
|
|
000394917900010
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|