The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F16%3A00461569" target="_blank" >RIV/67985823:_____/16:00461569 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00422-016-0690-x" target="_blank" >http://dx.doi.org/10.1007/s00422-016-0690-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00422-016-0690-x" target="_blank" >10.1007/s00422-016-0690-x</a>
Alternative languages
Result language
angličtina
Original language name
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model
Original language description
Statistical properties of spike trains as well as other neurophysiological data suggest a number of mathematical models of neurons. These models range from entirely descriptive ones to those deduced from the properties of the real neurons. One of them, the diffusion leaky integrate-and-fire neuronal model, which is based on the Ornstein-Uhlenbeck (OU) stochastic process that is restricted by an absorbing barrier, can describe a wide range of neuronal activity in terms of its parameters. These parameters are readily associated with known physiological mechanisms. The other model is descriptive, Gamma renewal process, and its parameters only reflect the observed experimental data or assumed theoretical properties. Both of these commonly used models are related here. We show under which conditions the Gamma model is an output from the diffusion OU model. In some cases, we can see that the Gamma distribution is unrealistic to be achieved for the employed parameters of the OU process.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-08066S" target="_blank" >GA15-08066S: Efficiency of information transfer and the role of energetic constraints in neuronal systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Biological Cybernetics
ISSN
0340-1200
e-ISSN
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Volume of the periodical
110
Issue of the periodical within the volume
2-3
Country of publishing house
DE - GERMANY
Number of pages
8
Pages from-to
193-200
UT code for WoS article
000377936000006
EID of the result in the Scopus database
2-s2.0-84973133477