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@article{770535, author = {Pokora, Ondřej and Lánský, Petr}, article_location = {Amsterdam}, article_number = {Issues 1-2}, keywords = {Fisher information; Olfactory neuron; Optimal signal}, language = {eng}, issn = {0025-5564}, journal = {Mathematical Biosciences}, title = {Statistical approach in search for optimal signal in simple olfactory neuronal models}, url = {http://dx.doi.org/10.1016/j.mbs.2008.02.010}, volume = {Volume 214}, year = {2008} }
TY - JOUR ID - 770535 AU - Pokora, Ondřej - Lánský, Petr PY - 2008 TI - Statistical approach in search for optimal signal in simple olfactory neuronal models JF - Mathematical Biosciences VL - Volume 214 IS - Issues 1-2 SP - 100 EP - 100 PB - Elsevier SN - 00255564 KW - Fisher information KW - Olfactory neuron KW - Optimal signal UR - http://dx.doi.org/10.1016/j.mbs.2008.02.010 N2 - 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. ER -
POKORA, Ondřej a Petr LÁNSKÝ. Statistical approach in search for optimal signal in simple olfactory neuronal models. Online. \textit{Mathematical Biosciences}. Amsterdam: Elsevier, 2008, Volume 214, Issues 1-2, s.~100-108. ISSN~0025-5564. [citováno 2024-04-24]
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