From: Distinguishing bias from sensitivity effects in multialternative detection tasks Journal of Vision. 2014;14(9):16. doi:10.1167/14.9.16 Figure Legend: Relationship to previous models. (A) Schematic of a 2-ADC model. There are three potential stimulus events—stimulus at location 1, at location 2, or no stimulus (catch)—with their associated decision variable distributions (red, blue, and black contours, respectively). The decision rule partitions decision space into three response regions, including a NoGo response. Thick lines: decision boundaries. Left and right panels: Decision variable distributions and optimal decision surfaces for equal (left) or unequal (right) sensitivities for the different stimulus events. (B) Schematic of a 2-AFC model. The decision rule partitions decision space into two response regions. Lower inset: The model is readily reducible to an equivalent, one-dimensional formulation by a linear transformation of decision variables (difference, = Ψ1 –AllΨrights 2). Other Date of download: 7/28/2017 The Association for Research in Vision and Ophthalmology CopyrightΨ©s 2017. reserved. conventions are as in (A). (C) Schematic of an indecision model. The decision rule partitions decision space into three
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