ABSTRACT
The structure of the Matlab program used for the simulation of scalar timing theory has a simple, modular organization and should be clear. Scalar timing theory has been applied to many different procedures that include both classical conditioning and instrumental training, both perceptual and behavioral, and both appetitive and aversive. Scalar timing theory has been applied to many different dependent variables, including latency, relative response rates as a function of relative time from stimulus onset, and the distribution of the times of transitions from low to high response rates. Scalar timing theory is designed to account for the behavior of human beings and other animals in temporal perception and timed performance procedures. A goal of the information-processing model was to explain such results as proportionality, the scalar rule, constant coefficient of variation, superposition, bisection at the geometric mean, and other results, such as preference for more variable intervals when the mean interval was fixed.
