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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

  • 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

    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