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Aufsatz / Paper in SCI-Expanded-Zeitschrift

Accuracy of rate coding: When shorter time window and higher spontaneous activity may help

Levakova M., Tamborrino M., Kostal L., Lansky P.: Accuracy of rate coding: When shorter time window and higher spontaneous activity may help, in: Physical Review E, Volume 95, Number 2, Page(s) 022310, 2017.

BibTeX

@ARTICLE{
title = {Accuracy of rate coding: When shorter time window and higher spontaneous activity may help},
type = {Aufsatz / Paper in SCI-Expanded-Zeitschrift},
author = {Levakova, Marie and Tamborrino, Massimiliano and Kostal, Lubomir and Lansky, Petr},
language = {EN},
abstract = {It is widely accepted that neuronal firing rates contain a significant amount of information about the stimulus intensity. Nevertheless, theoretical studies on the coding accuracy inferred from the exact spike counting distributions are rare. We present an analysis based on the number of observed spikes assuming the stochastic perfect integrate-and-fire model with a change point, representing the stimulus onset, for which we calculate the corresponding Fisher information to investigate the accuracy of rate coding. We analyze the effect of changing the duration of the time window and the influence of several parameters of the model, in particular the level of the presynaptic spontaneous activity and the level of random fluctuation of the membrane potential, which can be interpreted as noise of the system. The results show that the Fisher information is nonmonotonic with respect to the length of the observation period. This counterintuitive result is caused by the discrete nature of the count of spikes. We observe also that the signal can be enhanced by noise, since the Fisher information is nonmonotonic with respect to the level of spontaneous activity and, in some cases, also with respect to the level of fluctuation of the membrane potential.},
pages = {022310},
journal = {Physical Review E},
volume = {95},
number = {2},
month = {2},
year = {2017},
url = {https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.022310},
}

Details

Zusammenfassung: It is widely accepted that neuronal firing rates contain a significant amount of information about the stimulus intensity. Nevertheless, theoretical studies on the coding accuracy inferred from the exact spike counting distributions are rare. We present an analysis based on the number of observed spikes assuming the stochastic perfect integrate-and-fire model with a change point, representing the stimulus onset, for which we calculate the corresponding Fisher information to investigate the accuracy of rate coding. We analyze the effect of changing the duration of the time window and the influence of several parameters of the model, in particular the level of the presynaptic spontaneous activity and the level of random fluctuation of the membrane potential, which can be interpreted as noise of the system. The results show that the Fisher information is nonmonotonic with respect to the length of the observation period. This counterintuitive result is caused by the discrete nature of the count of spikes. We observe also that the signal can be enhanced by noise, since the Fisher information is nonmonotonic with respect to the level of spontaneous activity and, in some cases, also with respect to the level of fluctuation of the membrane potential.

Journal: Physical Review E
Volume: 95
Nummer: 2
Erscheinungsjahr: 2017
Seitenreferenz: 022310
Anzahl Seiten: 9
Web: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.022310
DOI: http://dx.doi.org/10.1103/PhysRevE.95.022310
Reichweite: International

Beteiligte

AutorInnen / HerausgeberInnen: Marie Levakova, Dr. Massimiliano Tamborrino, Dr. Lubomir Kostal, Senior Researcher Petr Lansky

Forschungseinheiten der JKU:

Wissenschaftszweige: 101 Mathematik | 101014 Numerische Mathematik | 101018 Statistik | 101019 Stochastik | 101024 Wahrscheinlichkeitstheorie

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