Statistical learning and its consequences

Nicholas B. Turk-Browne

Research output: Chapter in Book/Report/Conference proceedingChapter

24 Scopus citations

Abstract

Statistical learning refers to an unconscious cognitive process in which repeated patterns, or regularities, are extracted from the sensory environment. In this chapter, I describe what is currently known about statistical learning. First, I classify types of regularities that exist in the visual environment. Second, I introduce a family of experimental paradigms that have been used to study statistical learning in the laboratory. Third, I review a series of behavioral and functional neuroimaging studies that seek to uncover the underlying nature of statistical learning. Finally, I consider ways in which statistical learning may be important for perception, attention, and visual search. The goals of this chapter are thus to highlight the prevalence of regularities, to explain how they are extracted by the mind and brain, and to suggest that the resulting knowledge has widespread consequences for other aspects of cognition.

Original languageEnglish (US)
Title of host publicationThe Influence of Attention, Learning, and Motivation on Visual Search
EditorsMichael Dodd, John Flowers
Pages117-146
Number of pages30
DOIs
StatePublished - Dec 1 2012

Publication series

NameNebraska Symposium on Motivation
ISSN (Print)0146-7875

All Science Journal Classification (ASJC) codes

  • Social Psychology

Keywords

  • Generalization
  • Memory systems
  • Perception
  • Regularities
  • Selective attention
  • fMRI

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    Turk-Browne, N. B. (2012). Statistical learning and its consequences. In M. Dodd, & J. Flowers (Eds.), The Influence of Attention, Learning, and Motivation on Visual Search (pp. 117-146). (Nebraska Symposium on Motivation). https://doi.org/10.1007/978-1-4614-4794-8-6