September 2019
Volume 19, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2019
Pre-stimulus connectivity patterns predict perception at binocular rivalry onset
Author Affiliations & Notes
  • Elie Rassi
    Centre for Cognitive Neuroscience, University of Salzburg
  • Andreas Wutz
    Centre for Cognitive Neuroscience, University of Salzburg
    The Picower Institute for Learning and Memory, MIT
  • Nicholas Peatfield
    Center for Mind/Brain Sciences, University of Trento
    CTF MEG, Canada
  • Nathan Weisz
    Centre for Cognitive Neuroscience, University of Salzburg
    Center for Mind/Brain Sciences, University of Trento
Journal of Vision September 2019, Vol.19, 62a. doi:https://doi.org/10.1167/19.10.62a
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Elie Rassi, Andreas Wutz, Nicholas Peatfield, Nathan Weisz; Pre-stimulus connectivity patterns predict perception at binocular rivalry onset. Journal of Vision 2019;19(10):62a. doi: https://doi.org/10.1167/19.10.62a.

      Download citation file:


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

      ×
  • Supplements
Abstract

Binocular rivalry is a powerful tool for studying the neural correlates of visual attention and perception. When two stimuli are presented dichoptically in a controlled setting, people report seeing one dominant percept at a time rather than a combination of the two stimuli. In a MEG study, I show that pre-stimulus connectivity patterns in category-sensitive brain regions, as seen by frequency-resolved graph theoretic measures and source-reconstruction, could predict participants’ percept of a face or a house at the onset of binocular rivalry. Additionally the percept can be very reliably decoded from post-stimulus evoked responses.

×
×

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.

×