Variability and Randomness of the Instantaneous Firing Rate

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00543840" target="_blank" >RIV/67985823:_____/21:00543840 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11130/21:10428833

Výsledek na webu

<a href="https://doi.org/10.3389/fncom.2021.620410" target="_blank" >https://doi.org/10.3389/fncom.2021.620410</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fncom.2021.620410" target="_blank" >10.3389/fncom.2021.620410</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Variability and Randomness of the Instantaneous Firing Rate

Popis výsledku v původním jazyce

The apparent stochastic nature of neuronal activity significantly affects the reliability of neuronal coding. To quantify the encountered fluctuations, both in neural data and simulations, the notions of variability and randomness of inter-spike intervals have been proposed and studied. In this article we focus on the concept of the instantaneous firing rate, which is also based on the spike timing. We use several classical statistical models of neuronal activity and we study the corresponding probability distributions of the instantaneous firing rate. To characterize the firing rate variability and randomness under different spiking regimes, we use different indices of statistical dispersion. We find that the relationship between the variability of interspike intervals and the instantaneous firing rate is not straightforward in general. Counter-intuitively, an increase in the randomness (based on entropy) of spike times may either decrease or increase the randomness of instantaneous firing rate, in dependence on the neuronal firing model. Finally, we apply our methods to experimental data, establishing that instantaneous rate analysis can indeed provide additional information about the spiking activity.

Název v anglickém jazyce

Variability and Randomness of the Instantaneous Firing Rate

Popis výsledku anglicky

The apparent stochastic nature of neuronal activity significantly affects the reliability of neuronal coding. To quantify the encountered fluctuations, both in neural data and simulations, the notions of variability and randomness of inter-spike intervals have been proposed and studied. In this article we focus on the concept of the instantaneous firing rate, which is also based on the spike timing. We use several classical statistical models of neuronal activity and we study the corresponding probability distributions of the instantaneous firing rate. To characterize the firing rate variability and randomness under different spiking regimes, we use different indices of statistical dispersion. We find that the relationship between the variability of interspike intervals and the instantaneous firing rate is not straightforward in general. Counter-intuitively, an increase in the randomness (based on entropy) of spike times may either decrease or increase the randomness of instantaneous firing rate, in dependence on the neuronal firing model. Finally, we apply our methods to experimental data, establishing that instantaneous rate analysis can indeed provide additional information about the spiking activity.

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

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

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

1662-5188

Svazek periodika

15

Číslo periodika v rámci svazku

Jun 7

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

12

Strana od-do

620410

Kód UT WoS článku

000663635200001

EID výsledku v databázi Scopus

2-s2.0-85108383814