Posterior Probability Matching and Human Perceptual Decision Making.

ABSTRACT: Probability matching is a classic theory of decision making that was first developed in models of cognition. Posterior probability matching, a variant in which observers match their response probabilities to the posterior probability of each response being correct, is being used increasingly often in models of perception. However, little is known about whether posterior probability matching is consistent with the vast literature on vision and hearing that has developed within signal detection theory. Here we test posterior probability matching models using two tools from detection theory. First, we examine the models' performance in a two-pass experiment, where each block of trials is presented twice, and we measure the proportion of times that the model gives the same response twice to re

SUBMITTER: Murray RF 

PROVIDER: S-EPMC4469678 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature