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@inproceedings{726355,
author = {Pokora, Ondřej and Lánský, Petr},
address = {Berlin / Heidelberg},
booktitle = {Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729},
keywords = {neuronal coding;optimal odorant concentration;Fisher information},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin / Heidelberg},
isbn = {978-3-540-75554-8},
pages = {360-367},
publisher = {Springer},
title = {Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons},
url = {http://dx.doi.org/10.1007/978-3-540-75555-5_34},
year = {2007}
}
TY - JOUR
ID - 726355
AU - Pokora, Ondřej - Lánský, Petr
PY - 2007
TI - Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons
PB - Springer
CY - Berlin / Heidelberg
SN - 9783540755548
KW - neuronal coding;optimal odorant concentration;Fisher information
UR - http://dx.doi.org/10.1007/978-3-540-75555-5_34
N2 - Several models for coding of odor intensity in olfactory sensory neurons are investigated. Behavior of the systems is described by stochastic processes of binding (and activation). Characteristics how well the odorant concentration can be estimated from the knowledge of response, the concentration of bounded (activated) neuron receptors, are studied. This approach is based on the Fisher information and analogous information measures. Results are compared with the classical (determistic) approach via steepness of the input-output transfer function.
ER -
POKORA, Ondřej a Petr LÁNSKÝ. Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons. Online. In \textit{Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729}. Berlin / Heidelberg: Springer, 2007. s.~360-367. ISBN~978-3-540-75554-8. [citováno 2024-04-23]
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