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

  • Ondřej Pokora
  • Petr Lansky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)

Abstract

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 measures. These measures are computed and applied to locate the coding range, levels of the odorant concentration which are most suitable for estimation. Results are compared with the classical (deterministic) approach to determine the coding range via steepness of the input-output transfer function.

Keywords

Fisher Information Stochastic Resonance Neuron Receptor Basic Interaction Simple Activation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ondřej Pokora
    • 1
    • 2
  • Petr Lansky
    • 2
  1. 1.Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Janackovo namesti 2a, 602 00 BrnoCzech Republic
  2. 2.Institute of Physiology, Academy of Sciences of Czech Republic, Videnska 1083, 142 20 Prague 4Czech Republic

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