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Ergodicity and parameter estimates in auditory neural circuits
PG. Toth, P. Marsalek, O. Pokora,
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
ProQuest Central
od 1997-01-01 do Před 1 rokem
Medline Complete (EBSCOhost)
od 1996-08-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1997-01-01 do Před 1 rokem
- MeSH
- akční potenciály fyziologie MeSH
- časové faktory MeSH
- lidé MeSH
- modely neurologické * MeSH
- nervová síť fyziologie MeSH
- neurony fyziologie MeSH
- počítačová simulace MeSH
- pravděpodobnost * MeSH
- sluch fyziologie MeSH
- sluchová dráha fyziologie MeSH
- sluchová percepce fyziologie MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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 the average in less time and larger population. The objectives are to show simple examples of design and validation of a neuronal model, where the ergodicity assumption helps find correspondence between variables and parameters. The 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: a formula to calculate vector strength of neural spike timing dependent on 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 do not have the ergodic property are then discussed.
Citace poskytuje Crossref.org
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- $a Toth, Peter G $u Institute of Pathological Physiology, First Medical Faculty, Charles University, U Nemocnice 5, 12853, Prague 2, Czech Republic.
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- $a Ergodicity and parameter estimates in auditory neural circuits / $c PG. Toth, P. Marsalek, O. Pokora,
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- $a 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 the average in less time and larger population. The objectives are to show simple examples of design and validation of a neuronal model, where the ergodicity assumption helps find correspondence between variables and parameters. The 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: a formula to calculate vector strength of neural spike timing dependent on 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 do not have the ergodic property are then discussed.
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- $a Marsalek, Petr $u Max Planck Institute for the Physics of Complex Systems, Noethnitzer Strasse 38, 01187, Dresden, Germany. Marsalek@pks.mpg.de. Czech Technical University in Prague, Zikova 1903/4, 16636, Prague 6, Czech Republic. Marsalek@pks.mpg.de.
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- $a Pokora, Ondrej $u Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Kotlarska 2, 61137, Brno, Czech Republic.
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