Statistical approach in search for optimal signal in simple olfactory neuronal models

Investor logo

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

POKORA Ondřej LÁNSKÝ Petr

Year of publication 2008
Type Article in Periodical
Magazine / Source Mathematical Biosciences
MU Faculty or unit

Faculty of Science

Citation
Web doi:10.1016/j.mbs.2008.02.010
Field Information theory
Keywords Fisher information; Olfactory neuron; Optimal signal
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.