Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The automaticity of visual statistical learning.

Nicholas B Turk-Browne1, Justin Jungé, Brian J Scholl

  • 1Department of Psychology, Yale University, New Haven, CT 06520-8205, USA. nicholas.turk-browne@yale.edu

Journal of Experimental Psychology. General
|December 1, 2005
PubMed
Summary

Visual statistical learning (VSL) requires selective attention to process visual information. However, this learning process operates implicitly, without conscious awareness of statistical patterns, and creates abstract representations.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stress drives the hippocampus to prioritize statistical prediction over episodic encoding.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same author

Human learning of noninvasive brain-computer interfaces via manifold geometry.

Nature neuroscience·2026
Same author

Visual Perceptual Learning Enhances Functional Connectivity in Retinotopic Space.

Journal of cognitive neuroscience·2026
Same author

Multisensory coding of audiovisual movies in the human hippocampus.

bioRxiv : the preprint server for biology·2026
Same author

Learning of visual sequences by neurons in the human hippocampus.

bioRxiv : the preprint server for biology·2026
Same author

Functional Magnetic Resonance Imaging in Awake Infants: Insights From More Than 750 Scanning Sessions.

Infancy : the official journal of the International Society on Infant Studies·2026

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • The visual system processes vast environmental information, including object relations in space and time.
  • Visual statistical learning (VSL) is hypothesized to automatically extract this information.
  • Understanding the automaticity of VSL is crucial for cognitive science.

Purpose of the Study:

  • To investigate the automaticity of visual statistical learning (VSL).
  • To determine the role of attention and awareness in VSL.
  • To examine the nature of representations formed by VSL.

Main Methods:

  • Utilized explicit familiarity and implicit response-time measures.
  • Designed experiments to test attentional gating of VSL input.

Related Experiment Videos

  • Employed a cover task to assess implicit learning during concurrent activity.
  • Varied surface features to test representational invariance.

    • Main Results:

    • VSL input is regulated by selective attention.
    • VSL functions as an implicit process, occurring without awareness of statistical patterns.
    • Learned representations are invariant to changes in non-essential surface features.
    • VSL operates without conscious intent or awareness.

    Conclusions:

    • VSL requires attentional selection of stimuli but proceeds implicitly.
    • The visual system automatically extracts statistical regularities from the environment.
    • Abstract representations are formed, demonstrating the flexibility of VSL.