2008
Statistical approach in search for optimal signal in simple olfactory neuronal models
POKORA, Ondřej a Petr LÁNSKÝZákladní údaje
Originální název
Statistical approach in search for optimal signal in simple olfactory neuronal models
Název česky
Statistický přístup ke hledání optimálního signálu v jednoduchých modelech čichového neuronu
Autoři
POKORA, Ondřej (203 Česká republika, garant, domácí) a Petr LÁNSKÝ (203 Česká republika, domácí)
Vydání
Mathematical Biosciences, Amsterdam, Elsevier, 2008, 0025-5564
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10000 1. Natural Sciences
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.148
Kód RIV
RIV/00216224:14310/08:00024207
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000258743200015
Klíčová slova anglicky
Fisher information; Olfactory neuron; Optimal signal
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 1. 2015 23:08, Mgr. Ondřej Pokora, Ph.D.
V originále
Several models (concentration detectors and a flux detector) for coding of odor intensity in olfactory sensory neurons are investigated. Behavior of the system is described by different stochastic processes of binding the odorant molecules to the receptors and their activation. Characteristics how well the odorant concentration can be estimated from the knowledge of response, the number of activated neurons, are studied. The approach is based on the Fisher information and analogous measures. These measures of optimality are computed and applied to locate the odorant concentration which is most suitable for coding. The results are compared with the classical deterministic approach which judges the optimal odorant concentration via steepness of the input-output function.
Česky
Several models (concentration detectors and a flux detector) for coding of odor intensity in olfactory sensory neurons are investigated. Behavior of the system is described by different stochastic processes of binding the odorant molecules to the receptors and their activation. Characteristics how well the odorant concentration can be estimated from the knowledge of response, the number of activated neurons, are studied. The approach is based on the Fisher information and analogous measures. These measures of optimality are computed and applied to locate the odorant concentration which is most suitable for coding. The results are compared with the classical deterministic approach which judges the optimal odorant concentration via steepness of the input-output function.
Návaznosti
| GD201/05/H007, projekt VaV |
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| LC06024, projekt VaV |
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