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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-06991S" target="_blank" >GA15-06991S: Functional data analysis and related topics</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Mathematical Biosciences and Engineering

  • ISSN

    1547-1063

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    551-568

  • UT code for WoS article

    000373930200008

  • EID of the result in the Scopus database