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Søren Kyllingsbæk, Jeppe H. Christensen, Bo Markussen, Claus Bundesen; A Poisson Counter Model for Visual Identification of Stimuli with Varying Contrast in Pure Accuracy Tasks. Journal of Vision 2012;12(9):519. doi: https://doi.org/10.1167/12.9.519.
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© ARVO (1962-2015); The Authors (2016-present)
We test a simple model of the time course of visual identification of briefly presented, mutually confusable single stimuli (Landolt's rings) with varying contrast in pure accuracy tasks. The model implies that during stimulus analysis, tentative categorizations that stimulus i belongs to category j are made at a constant Poisson rate, v(i,j). The analysis is continued until the stimulus disappears, and the overt response is based on the categorization made the greatest number of times. The model was evaluated by Monte Carlo tests of goodness of fit against observed probability distributions of responses in extensive experiments and also by quantifications of the information loss of the model compared with the observed data by use of information theoretic measures. The model provided a close fit to individual data on identification of Landolt's rings with varying contrast.
Meeting abstract presented at VSS 2012
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