Stochastic modelling of signal transduction in olfactory neurons
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F10%3A00046963" target="_blank" >RIV/00216224:14310/10:00046963 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Stochastic modelling of signal transduction in olfactory neurons
Original language description
Several models of olfactory sensory neurons (concentration detectors, flux detectors) are investigated. Their behavior is described by stochastic processes of binding and activation. The models assume that the response, concentration of activated receptors, is determined by the signal, fixed log-concentration of odorant in perireceptor space. An approach used is based on stochastic variant of the law of mass action as a neuronal model. The statistical steady-state characteristics of the models are derived.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC06024" target="_blank" >LC06024: Jaroslav Hájek Center for Theoretical and Applied Statistics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
6th Summer School on Computational Biology
ISBN
978-80-7204-698-0
ISSN
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e-ISSN
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Number of pages
15
Pages from-to
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Publisher name
AKADEMICKÉ NAKLADATELSTVÍ CERM, s.r.o.
Place of publication
Brno
Event location
Lednice
Event date
Sep 23, 2010
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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