From: Rat performance on visual detection task modeled with divisive normalization and adaptive decision thresholds Journal of Vision. 2011;11(9):1. doi:10.1167/11.9.1 Figure Legend: Various decision criteria. (a) The best fit model (k T, k F, γ, α = 0) assuming that the subject only chooses a single fixed decision criterion for all stimuli (α = 0, see Equation 7). The blue vertical line indicates the results of a pure change in target contrast. Other black lines indicate the influence of target contrast when the flanker contrast is higher. The red curve represents a change in the flanker contrast for a target contrast of 1. Other black curves represent pure changes in flanker contrast if the target contrast is lower. If the data perfectly fit the model, the intersections of the lines would match the observed data. Blue crosses from Figure 1a would fall on the blue line, and red crosses from Figure 2b would fall on the of reddownload: line. Gray crosses indicate allThe possible combinations of the targetand andOphthalmology flanker contrasts (see Figure Date 7/28/2017 Association for Research in Vision Copyright © 2017.1c) Alland rights reserved. should be located at the intersection of the black lines. The gray contour indicates d′ for each model's best fit to the high-
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