Effect of spontaneous activity on stimulus detection in a simple neuronal model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F16%3A00087784" target="_blank" >RIV/00216224:14310/16:00087784 - isvavai.cz</a>

Výsledek na webu

<a href="https://aimsciences.org/journals/displayArticlesnew.jsp?paperID=12217" target="_blank" >https://aimsciences.org/journals/displayArticlesnew.jsp?paperID=12217</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3934/mbe.2016007" target="_blank" >10.3934/mbe.2016007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Effect of spontaneous activity on stimulus detection in a simple neuronal model

Popis výsledku v původním jazyce

It is studied what level of a continuous-valued signal is optimally estimable on the basis of first-spike latency neuronal data. When a spontaneous neuronal activity is present, the first spike after the stimulus onset may be caused either by the stimulus itself, or it may be a result of the prevailing spontaneous activity. Under certain regularity conditions, Fisher information is the inverse of the variance of the best estimator. It can be considered as a function of the signal intensity and then indicates accuracy of the estimation for each signal level. The Fisher information is normalized with respect to the time needed to obtain an observation. The accuracy of signal level estimation is investigated in basic discharge patterns modelled by a Poisson and a renewal process and the impact of the complex interaction between spontaneous activity and a delay of the response is shown.

Název v anglickém jazyce

Effect of spontaneous activity on stimulus detection in a simple neuronal model

Popis výsledku anglicky

It is studied what level of a continuous-valued signal is optimally estimable on the basis of first-spike latency neuronal data. When a spontaneous neuronal activity is present, the first spike after the stimulus onset may be caused either by the stimulus itself, or it may be a result of the prevailing spontaneous activity. Under certain regularity conditions, Fisher information is the inverse of the variance of the best estimator. It can be considered as a function of the signal intensity and then indicates accuracy of the estimation for each signal level. The Fisher information is normalized with respect to the time needed to obtain an observation. The accuracy of signal level estimation is investigated in basic discharge patterns modelled by a Poisson and a renewal process and the impact of the complex interaction between spontaneous activity and a delay of the response is shown.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/GA15-06991S" target="_blank" >GA15-06991S: Analýza funkcionálních dat a související témata</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Mathematical Biosciences and Engineering

ISSN

1547-1063

e-ISSN

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Svazek periodika

13

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

551-568

Kód UT WoS článku

000373930200008

EID výsledku v databázi Scopus

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