Estimation of firing rate from instantaneous interspike intervals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F25%3A00635726" target="_blank" >RIV/67985823:_____/25:00635726 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.neures.2024.06.006" target="_blank" >https://doi.org/10.1016/j.neures.2024.06.006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.neures.2024.06.006" target="_blank" >10.1016/j.neures.2024.06.006</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of firing rate from instantaneous interspike intervals
Original language description
The rate coding hypothesis is the oldest and still one of the most accepted hypotheses of neural coding. Consequently, many approaches have been devised for the firing rate estimation, ranging from simple binning of the time axis to advanced statistical methods. Nonetheless the concept of firing rate, while informally understood, can be mathematically defined in several distinct ways. These definitions may yield mutually incompatible results unless implemented properly. Recently it has been shown that the notions of the instantaneous and the classical firing rates can be made compatible, at least in terms of their averages, by carefully discerning the time instant at which the neuronal activity is observed. In this paper we revisit the properties of instantaneous interspike intervals in order to derive several novel firing rate estimators, which are free of additional assumptions or parameters and their temporal resolution is ’locally self-adaptive’. The estimators are simple to implement and are numerically efficient even for very large sets of 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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neuroscience Research
ISSN
0168-0102
e-ISSN
1872-8111
Volume of the periodical
215
Issue of the periodical within the volume
June
Country of publishing house
JP - JAPAN
Number of pages
10
Pages from-to
27-36
UT code for WoS article
001499297400004
EID of the result in the Scopus database
2-s2.0-85196962633