Fano Factor: A Potentially Useful Information

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F20%3A00535578" target="_blank" >RIV/67985823:_____/20:00535578 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.frontiersin.org/articles/10.3389/fncom.2020.569049/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fncom.2020.569049/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fncom.2020.569049" target="_blank" >10.3389/fncom.2020.569049</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fano Factor: A Potentially Useful Information

Popis výsledku v původním jazyce

The Fano factor, defined as the variance-to-mean ratio of spike counts in a time window, is often used to measure the variability of neuronal spike trains. However, despite its transparent definition, careless use of the Fano factor can easily lead to distorted or even wrong results. One of the problems is the unclear dependence of the Fano factor on the spiking rate, which is often neglected or handled insufficiently. In this paper we aim to explore this problem in more detail and to study the possible solution, which is to evaluate the Fano factor in the operational time. We use equilibrium renewal and Markov renewal processes as spike train models to describe the method in detail, and we provide an illustration on experimental data.

Název v anglickém jazyce

Fano Factor: A Potentially Useful Information

Popis výsledku anglicky

The Fano factor, defined as the variance-to-mean ratio of spike counts in a time window, is often used to measure the variability of neuronal spike trains. However, despite its transparent definition, careless use of the Fano factor can easily lead to distorted or even wrong results. One of the problems is the unclear dependence of the Fano factor on the spiking rate, which is often neglected or handled insufficiently. In this paper we aim to explore this problem in more detail and to study the possible solution, which is to evaluate the Fano factor in the operational time. We use equilibrium renewal and Markov renewal processes as spike train models to describe the method in detail, and we provide an illustration on experimental data.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GA20-10251S" target="_blank" >GA20-10251S: Optimalita neuronální komunikace: informačně-teoretický pohled</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Frontiers in Computational Neuroscience

ISSN

1662-5188

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

Nov 20

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

14

Strana od-do

569049

Kód UT WoS článku

000596050300001

EID výsledku v databázi Scopus

2-s2.0-85097215057