| TÓTH, Peter Gabriel, Petr MARŠÁLEK a Ondřej POKORA. Ergodicity and parameter estimates in auditory neural circuits. Biological Cybernetics. Springer, 2018, roč. 112, 1-2, s. 41-55. ISSN 0340-1200. Dostupné z: https://dx.doi.org/10.1007/s00422-017-0739-5. |
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@article{1392463,
author = {Tóth, Peter Gabriel and Maršálek, Petr and Pokora, Ondřej},
article_number = {1-2},
doi = {http://dx.doi.org/10.1007/s00422-017-0739-5},
keywords = {auditory pathway; ergodic theory; ergodicity; circular statistics; interspike interval; probability distribution function; sensory modality; spike train; spike timing jitter; vector strength},
language = {eng},
issn = {0340-1200},
journal = {Biological Cybernetics},
title = {Ergodicity and parameter estimates in auditory neural circuits},
url = {http://dx.doi.org/10.1007/s00422-017-0739-5},
volume = {112},
year = {2018}
}
TY - JOUR
ID - 1392463
AU - Tóth, Peter Gabriel - Maršálek, Petr - Pokora, Ondřej
PY - 2018
TI - Ergodicity and parameter estimates in auditory neural circuits
JF - Biological Cybernetics
VL - 112
IS - 1-2
SP - 41-55
EP - 41-55
PB - Springer
SN - 03401200
KW - auditory pathway
KW - ergodic theory
KW - ergodicity
KW - circular statistics
KW - interspike interval
KW - probability distribution function
KW - sensory modality
KW - spike train
KW - spike timing jitter
KW - vector strength
UR - http://dx.doi.org/10.1007/s00422-017-0739-5
N2 - 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.
ER -
TÓTH, Peter Gabriel, Petr MARŠÁLEK a Ondřej POKORA. Ergodicity and parameter estimates in auditory neural circuits. \textit{Biological Cybernetics}. Springer, 2018, roč.~112, 1-2, s.~41-55. ISSN~0340-1200. Dostupné z: https://dx.doi.org/10.1007/s00422-017-0739-5.
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