December 2022
Volume 22, Issue 14
Open Access
Vision Sciences Society Annual Meeting Abstract  |   December 2022
Moving toward a unifying framework for perceptual decision making that combines threshold and reaction time approaches
Author Affiliations
  • Ying Lin
    University of Rochester, Brain and Cognitive Sciences
    Center for Visual Science
  • Zhen Chen
    University of Rochester, Brain and Cognitive Sciences
    Center for Visual Science
  • Ralf Haefner
    University of Rochester, Brain and Cognitive Sciences
    Center for Visual Science
  • Duje Tadin
    University of Rochester, Brain and Cognitive Sciences
    Center for Visual Science
Journal of Vision December 2022, Vol.22, 4375. doi:https://doi.org/10.1167/jov.22.14.4375
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Ying Lin, Zhen Chen, Ralf Haefner, Duje Tadin; Moving toward a unifying framework for perceptual decision making that combines threshold and reaction time approaches. Journal of Vision 2022;22(14):4375. https://doi.org/10.1167/jov.22.14.4375.

      Download citation file:


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

      ×
  • Supplements
Abstract

Perceptual decision-making has been long studied using two largely independent approaches. Threshold measurement is the predominant approach in psychophysics that excels at quantifying stimulus strength required for accurate perceptual decisions. In parallel, reaction time (RT) paradigms along with associated accumulation-to-bound models have been used to estimate components of perceptual decision making (e.g., decision time, non-decision time, and drift rate). It is unknown, however, whether both approaches yield the same conclusion about the sensitivity of the sensory system. To answer this question, we conducted two experiments (total n=23) where we estimated both RTs and duration thresholds for a motion and a static discrimination task. Duration threshold (DT) is defined as the shortest stimulus presentation duration sufficient to make accurate perceptual decisions. RTs and choices were fitted by a drift-diffusion model (DDM, Wiecki et al., 2013). If the DDM is correct, there should be a close relationship between DTs and drift rates, allowing us to accurately predict DTs from RT data. In the motion task (Newsome & Pare, 1988), we found a close correspondence between the empirical DTs and the DTs predicted by the DDM across 6 levels of motion coherence (10%-100%; r=0.81, p <0.0001). Surprisingly, in the static orientation discrimination task (8 contrast levels, 2%-100%), there was very little correlation between DTs and drift rates. While DTs, as expected, improved monotonically with increasing contrast, RT drift rates saturated at 6% stimulus contrast. In summary, we show a close correspondence between duration thresholds and RT drift rate for the well-established motion coherence task. This result supports the common conceptualization of drift rate as a proxy for perceptual sensitivity. However, we do not find the same correspondence in the static orientation discrimination task, indicating a surprising limitation of the DDM and experimental approaches based on it.

×
×

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.

×