Fano Factor: A Potentially Useful Information
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Fano Factor: A Potentially Useful Information
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA20-10251S" target="_blank" >GA20-10251S: Optimality of neuronal communication: an information-theoretic perspective</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Computational Neuroscience
ISSN
1662-5188
e-ISSN
—
Volume of the periodical
14
Issue of the periodical within the volume
Nov 20
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
569049
UT code for WoS article
000596050300001
EID of the result in the Scopus database
2-s2.0-85097215057