Ergodicity and parameter estimates in auditory neural circuits
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F18%3A00100732" target="_blank" >RIV/00216224:14310/18:00100732 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/18:00315062 RIV/00216208:11110/18:10376709
Result on the web
<a href="http://dx.doi.org/10.1007/s00422-017-0739-5" target="_blank" >http://dx.doi.org/10.1007/s00422-017-0739-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00422-017-0739-5" target="_blank" >10.1007/s00422-017-0739-5</a>
Alternative languages
Result language
angličtina
Original language name
Ergodicity and parameter estimates in auditory neural circuits
Original language description
This paper discusses ergodic properties and circular statistical characteristics in neuronal spike trains. Ergodicity means that the average taken over a long time period and over smaller population should equal to the average in less time and larger population. Objectives are to show simple examples of design and validation of a neuronal model, where the ergodicity assumption helps finding correspondence between variables and parameters. Methods used are analytical and numerical computations, numerical models of phenomenological spiking neurons and neuronal circuits. Results obtained using these methods are the following. They are: formula to calculate vector strength of neural spike timing in dependence of the spike train parameters, description of parameters of spike train variability and model of output spiking density based on assumption of the computation realized by sound localization neural circuit. Theoretical results are illustrated by references to experimental data. Examples of neurons, where spike trains have and have not the ergodic property are then discussed.
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
<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
2018
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
1432-0770
Volume of the periodical
112
Issue of the periodical within the volume
1-2
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
41-55
UT code for WoS article
000430460400005
EID of the result in the Scopus database
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