Inhibition enhances the coherence in the Jacobi neuronal model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F19%3A00517542" target="_blank" >RIV/67985823:_____/19:00517542 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.chaos.2019.07.040" target="_blank" >https://doi.org/10.1016/j.chaos.2019.07.040</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.chaos.2019.07.040" target="_blank" >10.1016/j.chaos.2019.07.040</a>
Alternative languages
Result language
angličtina
Original language name
Inhibition enhances the coherence in the Jacobi neuronal model
Original language description
The output signal is examined for the Jacobi neuronal model which is characterized by input-dependent multiplicative noise. The dependence of the noise on the rate of inhibition turns out to be of primary importance to observe maxima both in the output firing rate and in the diffusion coefficient of the spike count and, simultaneously, a minimum in the coefficient of variation (Fano factor). Moreover, we observe that an increment of the rate of inhibition can increase the degree of coherence computed from the power spectrum. This means that inhibition can enhance the coherence and thus the information transmission between the input and the output in this neuronal model. Finally, we stress that the firing rate, the coefficient of variation and the diffusion coefficient of the spike count cannot be used as the only indicator of coherence resonance without considering the power spectrum.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Chaos Solitons & Fractals
ISSN
0960-0779
e-ISSN
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Volume of the periodical
128
Issue of the periodical within the volume
Nov
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
108-113
UT code for WoS article
000500927400014
EID of the result in the Scopus database
2-s2.0-85069749721