July 2013
Volume 13, Issue 9
Free
Vision Sciences Society Annual Meeting Abstract  |   July 2013
Continuous versus discrete models of visual working memory capacity
Author Affiliations
  • Steven J. Luck
    University of California, Davis
    Speaker
  • Weiwei Zhang
    University of California, Davis
    Author
Journal of Vision July 2013, Vol.13, 1364. doi:10.1167/13.9.1364
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Steven J. Luck, Weiwei Zhang; Continuous versus discrete models of visual working memory capacity. Journal of Vision 2013;13(9):1364. doi: 10.1167/13.9.1364.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Working memory plays a key role in visual cognition, allowing the visual system to span the gaps created by blinks and saccades and providing a major source of control over attention and eye movements. Moreover, measurements of visual working memory capacity for simple visual features are strongly correlated with individual differences in higher cognitive abilities and are related to psychiatric and neurological disorders. It is therefore critically important that we understand the nature of capacity limits in visual working memory. Two major classes of theories have been proposed, discrete theories in which a limited number of items can be concurrently stored with high resolution, and continuous theories in which a potentially limitless number of items can be stored by reducing the precision of the representations. In this talk, we will review 15 years of research on the nature of visual working memory representations and present new evidence that favors discrete representations.

Meeting abstract presented at VSS 2013

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×