Publication details

Variability measures of positive random variables

Authors

KOŠŤÁL Lubomír LÁNSKÝ Petr POKORA Ondřej

Year of publication 2011
Type Article in Periodical
Magazine / Source PloS ONE
MU Faculty or unit

Faculty of Science

Citation KOŠŤÁL, Lubomír, Petr LÁNSKÝ and Ondřej POKORA. Variability measures of positive random variables. PloS ONE. 2011, vol. 6, No 7, p. e21998, 11 pp. ISSN 1932-6203. Available from: https://dx.doi.org/10.1371/journal.pone.0021998.
Doi http://dx.doi.org/10.1371/journal.pone.0021998
Field General mathematics
Keywords FISHER INFORMATION; ENTROPY; DISTRIBUTIONS; FREQUENCY; DENSITIES; DISCHARGE; INTERVALS; SUPPORT; NEURONS; SIGNALS
Description During the stationary part of neuronal spiking response, the stimulus can be encoded in the firing rate, but also in the statistical structure of the interspike intervals. We propose and discuss two information-based measures of statistical dispersion of the interspike interval distribution, the entropy-based dispersion and Fisher information-based dispersion. The measures are compared with the frequently used concept of standard deviation. It is shown, that standard deviation is not well suited to quantify some aspects of dispersion that are often expected intuitively, such as the degree of randomness. The proposed dispersion measures are not entirely independent, although each describes the interspike intervals from a different point of view. The new methods are applied to common models of neuronal firing and to both simulated and experimental data.

You are running an old browser version. We recommend updating your browser to its latest version.

More info

By clicking “Accept Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookie Settings

Necessary Only Accept Cookies