Estimation of the instantaneous spike train variability

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F23%3A00579214" target="_blank" >RIV/67985823:_____/23:00579214 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.chaos.2023.114280" target="_blank" >https://doi.org/10.1016/j.chaos.2023.114280</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.chaos.2023.114280" target="_blank" >10.1016/j.chaos.2023.114280</a>

Result language
angličtina
Original language name
Estimation of the instantaneous spike train variability
Original language description
The variability of neuronal spike trains is usually measured by the Fano factor or the coefficient of variation of interspike intervals, but their estimation is problematic, especially with limited amount of data. In this paper we show that it is in fact possible to estimate a quantity equivalent to the Fano factor and the squared coefficient of variation based on the intervals from only one specific (random) time. This leads to two very simple but precise Fano factor estimators, that can be interpreted as estimators of instantaneous variability. We derive their properties, evaluate their accuracy in various situations and show that they are often more accurate than the standard estimators. The presented estimators are particularly suitable for the case where variability changes rapidly.
Czech name
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Czech description
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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

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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