Prediction in infants and adults: A pupillometry study

Felicia Zhang, Sagi Jaffe-Dax, Robert C. Wilson, Lauren L. Emberson

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Adults use both bottom-up sensory inputs and top-down signals to generate predictions about future sensory inputs. Infants have also been shown to make predictions with simple stimuli and recent work has suggested top-down processing is available early in infancy. However, it is unknown whether this indicates that top-down prediction is an ability that is continuous across the lifespan or whether an infant's ability to predict is different from an adult's, qualitatively or quantitatively. We employed pupillometry to provide a direct comparison of prediction abilities across these disparate age groups. Pupil dilation response (PDR) was measured in 6-month olds and adults as they completed an identical implicit learning task designed to help learn associations between sounds and pictures. We found significantly larger PDR for visual omission trials (i.e. trials that violated participants’ predictions without the presentation of new stimuli to control for bottom-up signals) compared to visual present trials (i.e. trials that confirmed participants’ predictions) in both age groups. Furthermore, a computational learning model that is closely linked to prediction error (Rescorla-Wagner model) demonstrated similar learning trajectories suggesting a continuity of predictive capacity and learning across the two age groups.

Original languageEnglish (US)
Article numbere12780
JournalDevelopmental Science
Volume22
Issue number4
DOIs
StatePublished - Jul 2019

All Science Journal Classification (ASJC) codes

  • Developmental and Educational Psychology
  • Cognitive Neuroscience

Keywords

  • development
  • learning
  • prediction
  • prediction error
  • pupil dilation
  • pupillometry

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