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Variability and Randomness of the Instantaneous Firing Rate

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    SYSNO ASEP0543840
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleVariability and Randomness of the Instantaneous Firing Rate
    Author(s) Tomar, Rimjhim (FGU-C) ORCID
    Košťál, Lubomír (FGU-C) RID, ORCID, SAI
    Article number620410
    Source TitleFrontiers in Computational Neuroscience. - : Frontiers Media
    Roč. 15, Jun 7 (2021)
    Number of pages12 s.
    Languageeng - English
    CountryCH - Switzerland
    Keywordsvariability ; randomness ; firing rate ; entropy ; rate coding ; neural coding ; temporal coding ; instantaneous firing rate
    Subject RIVBB - Applied Statistics, Operational Research
    OECD categoryStatistics and probability
    R&D ProjectsGA20-10251S GA ČR - Czech Science Foundation (CSF)
    Method of publishingOpen access
    Institutional supportFGU-C - RVO:67985823
    UT WOS000663635200001
    EID SCOPUS85108383814
    DOI10.3389/fncom.2021.620410
    AnnotationThe 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.
    WorkplaceInstitute of Physiology
    ContactLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Year of Publishing2022
    Electronic addresshttps://doi.org/10.3389/fncom.2021.620410
Number of the records: 1  

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