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Shot noise, weak convergence and diffusion approximations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00541564" target="_blank" >RIV/67985823:_____/21:00541564 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.physd.2021.132845" target="_blank" >https://doi.org/10.1016/j.physd.2021.132845</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.physd.2021.132845" target="_blank" >10.1016/j.physd.2021.132845</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Shot noise, weak convergence and diffusion approximations

  • Original language description

    Shot noise processes have been extensively studied due to their mathematical properties and their relevance in several applications. Here, we consider nonnegative shot noise processes and prove their weak convergence to Lévy-driven Ornstein–Uhlenbeck (OU) process, whose features depend on the underlying jump distributions. Among others, we obtain the OU-Gamma and OU-Inverse Gaussian processes, having gamma and inverse gaussian processes as background Lévy processes, respectively. Then, we derive the necessary conditions guaranteeing the diffusion limit to a Gaussian OU process, show that they are not met unless allowing for negative jumps happening with probability going to zero, and quantify the error occurred when replacing the shot noise with the OU process and the non-Gaussian OU processes. The results offer a new class of models to be used instead of the commonly applied Gaussian OU processes to approximate synaptic input currents, membrane voltages or conductances modelled by shot noise in single neuron modelling.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GF20-21030L" target="_blank" >GF20-21030L: Stochastic models and methods for the study of olfaction</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Physica. D

  • ISSN

    0167-2789

  • e-ISSN

    1872-8022

  • Volume of the periodical

    418

  • Issue of the periodical within the volume

    Apr

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

    132845

  • UT code for WoS article

    000624916700001

  • EID of the result in the Scopus database

    2-s2.0-85099921523