Signal Detection: Mechanisms, Models, and Applications

By Michael L. Commons; John A. Nevin et al. | Go to book overview

contributions, aivi, which is the effect of each reinforcer as remembered. This derivation gives the predicted effects of varying t and s on the parameters of the hyperbolic model. The second important result of the derivation is that our use of the additive noise model yields a value of a sample that fits a hyperbolic model.

, (2, 10)

where

(11)


Fully General Submodel: Submodel 3a

By Equation 13, which states that δi = δ0 + itαsβ , and Equation 2, 10, and 11,

(18)
. (20)

Equation 21, which is derived from Equation 20, shows that the decremen-tation function is hyperbolic in form:

, (12, 21)

where

-162-

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