Estimation of firing rate from instantaneous interspike intervals

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of firing rate from instantaneous interspike intervals

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Estimation of firing rate from instantaneous interspike intervals

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Neuroscience Research

ISSN

0168-0102

e-ISSN

1872-8111

Svazek periodika

215

Číslo periodika v rámci svazku

June

Stát vydavatele periodika

JP - Japonsko

Počet stran výsledku

10

Strana od-do

27-36

Kód UT WoS článku

001499297400004

EID výsledku v databázi Scopus

2-s2.0-85196962633