September 2015
Volume 15, Issue 12
Free
Vision Sciences Society Annual Meeting Abstract  |   September 2015
The robustness and stability of heading perception in dynamic environments
Author Affiliations
  • Oliver Layton
    Department of Cognitive Science, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180
  • Brett Fajen
    Department of Cognitive Science, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180
Journal of Vision September 2015, Vol.15, 1009. doi:10.1167/15.12.1009
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Oliver Layton, Brett Fajen; The robustness and stability of heading perception in dynamic environments. Journal of Vision 2015;15(12):1009. doi: 10.1167/15.12.1009.

      Download citation file:


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

      ×
  • Supplements
Abstract

Several studies have revealed that human heading perception based on optic flow is biased when independently moving objects (IMOs) cross or approach the observer’s future path. However, these biases are surprisingly weak (~2°) and perceived heading does not seem to abruptly shift at the moment that a moving object crosses the observer’s future path. While previous studies have focused on biases, it is equally important to understand how heading perception is as robust and stable as it is. Such robustness and stability is surprising given that IMOs often occupy large portions of the visual field and occlude the focus of expansion (FoE). Why isn’t heading perception, which is based on neurons tuned to radial expansion, biased by more than several degrees or abruptly shift when an object crosses the future path? Indeed, our simulations of existing models (differential motion and center-weighted template models) yield heading estimates that are far more erratic and unstable than human judgments. We present a dynamical model of primate visual areas V1, MT, and MSTd based on that of Layton, Mingolla, and Browning (2012) that explains how the visual system reliably estimates heading during navigation through dynamic environments. Unlike existing models, competitive dynamics between units in MSTd stabilize the model’s heading estimate over time, even when an IMO crosses the future path. Soft winner-take-all dynamics enhance units that code a heading direction consistent with the time history and suppress responses to transient changes to the optic flow field. The model explains the surprising bias that occurs when an object disoccludes the future path, although the FoE is visible in the flow field (Layton & Fajen, Submitted to JoV). Our findings support competitive temporal dynamics as a crucial mechanism underlying the robustness of perception of heading.

Meeting abstract presented at VSS 2015

×
×

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.

×