Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons

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Authors

POKORA Ondřej LÁNSKÝ Petr

Year of publication 2007
Type Article in Proceedings
Conference Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729
MU Faculty or unit

Faculty of Science

Citation
Web doi:10.1007/978-3-540-75555-5_34
Field Applied statistics, operation research
Keywords neuronal coding;optimal odorant concentration;Fisher information
Description 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.
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