August 2016
Volume 16, Issue 12
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2016
Feature conjunction learning is an enduring form of visual learning
Author Affiliations
  • Sebastian Frank
    Department of Psychological and Brain Sciences, Dartmouth College
  • Mark Greenlee
    Institute for Experimental Psychology, University of Regensburg
  • Peter Tse
    Department of Psychological and Brain Sciences, Dartmouth College
Journal of Vision September 2016, Vol.16, 544. doi:10.1167/16.12.544
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      Sebastian Frank, Mark Greenlee, Peter Tse; Feature conjunction learning is an enduring form of visual learning. Journal of Vision 2016;16(12):544. doi: 10.1167/16.12.544.

      Download citation file:


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

      ×
  • Supplements
Abstract

We report evidence that feature conjunction learning represents an enduring form of visual learning. Participants were trained on a visual search task for feature conjunctions consisting of moving trajectories (Frank et al. 2015 Cerebral Cortex). The first and last training sessions were carried out during functional magnetic resonance imaging. After three weeks of training, participants improved remarkably in performance, indicative of learning. This improvement was differentially pronounced across trained retinotopic locations, revealing a unique perceptual learning pattern for each participant. As a result of training, activity in motion-sensitive area MT+ (V5) increased. Having demonstrated learning, we were interested in the long-term stability of these learning effects. Therefore, participants were retested in the learning task three months, one year, and two years after the end of training. Acquired behavioral improvements were remarkably stable over time and still present even two years after the end of original training. This was also true for each participant's retinotopic learning pattern, such that better performance during retests was achieved at retinotopic locations where participants had learned best. Activity changes during training also predicted later retest performance: the higher the change of activity in area MT+ during training, the better participants performed two years later. Our results show that feature-conjunction learning, once established, remains stable over years and represents an enduring form of visual learning.

Meeting abstract presented at VSS 2016

×
×

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.

×