Skip to main content

Statistical Learning in Perception

  • Reference work entry

Synonyms

Associative learning; Contextual cueing; Segmentation; Unsupervised learning

Definition

In cognitive psychology and cognitive neuroscience, statistical learning (SL) refers to the extraction of regularities in how features and objects co-occur in the environment over space and time. Such learning may be important for detecting and representing higher-order units of perception, such as words, scenes, and events. SL is defined by three criteria: First, it can operate over undifferentiated input, where only spatial and temporal probabilities can be used to determine which parts of the environment go together; other segmentation cues, such as grouping, are not required. Second, SL occurs incidentally as a by-product of perception, without intentional effort or conscious awareness. Third, SL is concerned with extracting how particularfeatures and objects co-occur, resulting in knowledge about relationships between specific stimuli. These properties make SL well suited to the...

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   3,400.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   2,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Fiser, J., & Aslin, R. N. (2001). Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychological Science, 12, 499–504.

    Google Scholar 

  • Gebhart, A. L., Aslin, R. N., & Newport, E. L. (2009). Changing structures in midstream: Learning along the statistical garden path. Cognitive Science, 33, 1087–1116.

    Google Scholar 

  • Orbán, G., Fiser, J., Aslin, R. N., & Lengyel, M. (2008). Bayesian learning of visual chunks by human observers. Proceedings of the National Academy of Sciences, 105, 2745–2750.

    Google Scholar 

  • Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926–1928.

    Google Scholar 

  • Turk-Browne, N. B., & Scholl, B. J. (2009). Flexible visual statistical learning: Transfer across space and time. Journal of Experimental Psychology. Human Perception and Performance, 35, 195–202.

    Google Scholar 

  • Turk-Browne, N. B., Scholl, B. J., Johnson, M. K., & Chun, M. M. (2010). Implicit perceptual anticipation triggered by statistical learning. Journal of Neuroscience, 30, 11177–11187.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicholas B. Turk-Browne .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this entry

Cite this entry

Turk-Browne, N.B. (2012). Statistical Learning in Perception. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_1707

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-1428-6_1707

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-1427-9

  • Online ISBN: 978-1-4419-1428-6

  • eBook Packages: Humanities, Social Sciences and Law

Publish with us

Policies and ethics