September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Speed uncertainty and motion perception with naturalistic random textures
Author Affiliations
  • kiana mansour pour
    institut de Neurosciences de la Timone, UMR 7289, CNRS, Aix-Marseille Universite , Marseille 13005, France
  • Nikos Gekas
    laboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure,PSL Research University, CNRS, 75005 Paris, France
  • Laurent Perrinet
    institut de Neurosciences de la Timone, UMR 7289, CNRS, Aix-Marseille Universite , Marseille 13005, France
  • Pascal Mamassian
    laboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure,PSL Research University, CNRS, 75005 Paris, France
  • Anna Montagnini
    institut de Neurosciences de la Timone, UMR 7289, CNRS, Aix-Marseille Universite , Marseille 13005, France
  • Guillaume Masson
    institut de Neurosciences de la Timone, UMR 7289, CNRS, Aix-Marseille Universite , Marseille 13005, France
Journal of Vision September 2018, Vol.18, 345. doi:10.1167/18.10.345
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      kiana mansour pour, Nikos Gekas, Laurent Perrinet, Pascal Mamassian, Anna Montagnini, Guillaume Masson; Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision 2018;18(10):345. doi: 10.1167/18.10.345.

      Download citation file:


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

      ×
  • Supplements
Abstract

It is still not fully understood how visual system integrates motion energy across different spatial and temporal frequencies to build a coherent percept of the global motion under the complex, noisy naturalistic conditions. We addressed this question by manipulating local speed variability distribution (i.e. speed bandwidth) using a well-controlled class of broadband random-texture stimuli called Motion Clouds (MCs) with continuous naturalistic spatiotemporal frequency spectra (Sanz-Leon et al., 2012, ; Simoncini et al., 2012). In a first 2AFC experiment on speed discrimination, participants had to compare the speed of a broad speed bandwidth MC (range: 0.05-8°/s) moving at 1 of 5 possible mean speeds (ranging from 5 to 13 °/s) to that of another MC with a small speed bandwidth (SD: 0.05 °/s), always moving at a mean speed of 10°/s. We found that MCs with larger speed bandwidth (between 0.05-0.5°/s) were perceived moving faster. Within this range, speed uncertainty results in over-estimating stimulus velocity. However, beyond a critical bandwidth (SD: 0.5 °/s), perception of a coherent speed was lost. In a second 2AFC experiment on direction discrimination, participants had to estimate the motion direction of moving MCs with different speed bandwidths. We found that for large band MCs participant could no longer discriminate motion direction. These results suggest that when increasing speed bandwidth from small to large range, the observer experiences different perceptual regimes. We then decided to run a Maximum Likelihood Difference Scaling (Knoblauch & Maloney, 2008) experiment with our speed bandwidth stimuli to investigate these different possible perceptual regimes. We identified three regimes within this space that correspond to motion coherency, motion transparency and motion incoherency. These results allow to further characterize the shape of the interactions kernel observed between different speed tuned channels and different spatiotemporal scales (Gekas et al., 2017) that underlies global velocity estimation.

Meeting abstract presented at VSS 2018

×
×

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.

×