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. Author manuscript; available in PMC: 2014 Aug 21.
Published in final edited form as: Neuroimage. 2013 Jan 28;72:193–206. doi: 10.1016/j.neuroimage.2013.01.048

Fig. 2.

Fig. 2

The classic equal-variance model of signal detection theory. Representations for targets and distractors are represented as equal-variance Gaussian distributions, separated by a distance d, known as the discriminability parameter. A criterion, shown as the vertical dashed line, is used to determine the response. Deviation from the optimal criterion placement at d/2 is a bias, and is measured by the parameter b.