Highly Influential

One class of models assumes that presentation of a signal results in an internal representation as a random variable. Depending on whether the signal is close to or far from the preceding signal, the variance of the representation is smaller or larger. Responses are determined largely by this random variable; however, when the signal is close to the… (More)

@inproceedings{Luce2003TwoCO,
title={Two Classes of Models for Magnitude Estimation},
author={Duncan Luce and John C. Baird},
year={2003}
}