Showing papers by "R. A. Serota published in 2016"
TL;DR: It is argued that, among closed-form distributions, the generalized inverse gamma distribution is the most plausible choice for their description and speculated that the task difficulty tracks the half-width of the distribution and is related to the exponent of the power-law tail.
Abstract: We confirm that distributions of human response times have power-law tails and argue that, among closed-form distributions, the generalized inverse gamma distribution is the most plausible choice for their description. We speculate that the task difficulty tracks the half-width of the distribution and show that it is related to the exponent of the power-law tail. V C 2015 Wiley Periodicals, Inc. Complexity 000: 00–00, 2015
14 citations
TL;DR: It is argued that combining individual subjects’ data into a single set for a distribution-function analysis allows for a better comparison of a group of interest to a control group.
Abstract: We discuss several markers of the probability densities of response times — specifically those with power-law tails — that allow us to gain insights into neurophysiology of cognition. We argue that combining individual subjects’ data into a single set for a distribution-function analysis allows for a better comparison of a group of interest to a control group. We illustrate our findings using time response trials with dyslexic children.
7 citations