Examining predictive coding accounts of typical and autistic neurocognitive development

Hannah Rapaport*, Paul F. Sowman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Predictive coding has emerged as a prominent theoretical framework for understanding perception and its neural underpinnings. There has been a recent surge of interest in the predictive coding framework across the mind sciences. However, comparatively little of the research in this field has investigated the neural underpinnings of predictive coding in young neurotypical and autistic children. This paper provides an overview of predictive coding accounts of typical and autistic neurocognitive development and includes a review of the current electrophysiological evidence supporting these accounts. Based on the current evidence, it is clear that more research in pediatrics is needed to evaluate predictive coding accounts of neurocognitive development fully. If supported, these accounts could have wide-ranging practical implications for pedagogy, parenting, artificial intelligence, and clinical approaches to helping autistic children manage the barrage of everyday sensory information.

Original languageEnglish
Article number105905
Pages (from-to)1-14
Number of pages14
JournalNeuroscience and Biobehavioral Reviews
Volume167
DOIs
Publication statusPublished - Dec 2024

Keywords

  • auditory oddball
  • autism
  • child
  • electroencephalography
  • magnetoencephalography
  • mismatch field
  • mismatch negativity
  • predictive coding
  • typical development

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