Efficient estimation of stereo thresholds: What slope should be assumed for the psychometric function?

ABSTRACT: Bayesian staircases are widely used in psychophysics to estimate detection thresholds. Simulations have revealed the importance of the parameters selected for the assumed subject's psychometric function in enabling thresholds to be estimated with small bias and high precision. One important parameter is the slope of the psychometric function, or equivalently its spread. This is often held fixed, rather than estimated for individual subjects, because much larger numbers of trials are required to estimate the spread as well as the threshold. However, if this fixed value is wrong, the threshold estimate can be biased. Here we determine the optimal slope to minimize bias and maximize precision when measuring stereoacuity with Bayesian staircases. We performed 2- and 4AFC disparity detection st

SUBMITTER: Serrano-Pedraza I 

PROVIDER: S-EPMC6939937 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature