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Olfactory Sensory Neurons to Odor Stimuli: Mathematical Modeling of the Response

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Encyclopedia of Computational Neuroscience

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Synonyms

Dose-response functions; Concentration-response functions; Activation of the olfactory sensory neurons as a function of odor concentration

Definition

Mathematical modeling of the response of olfactory sensory neurons (OSNs) to odor stimuli refers to models able to predict the OSNs response to a mixture of N odorants (N ≥ 2) starting from the responses to individual components.

Detailed Description

Most real-world odors are complex mixtures consisting of dozens, often hundreds of components, and olfactory systems have evolved to recognize and discriminate them. The sensory process starts with the interaction of odorant molecules with the olfactory receptors (ORs) located on the cilia of olfactory sensory neurons (OSNs). The ORs occupy a small area in the upper part of the nasal epithelium and detect the inhaled odorant molecules. Although the detection of an odor molecule in the environment is primarily a chemical and biochemical process, the signal which is sent to the brain...

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Author information

Authors and Affiliations

  1. Department of Computational Science and Technology, School of Electrical Engineering and Computer Science, KTH The Royal Institute of Technology, Stockholm, Sweden

    Ilaria Carannante

  2. Department of Mathematics and Applications, University of Naples, Naples, Italy

    Addolorata Marasco

Authors
  1. Ilaria Carannante
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  2. Addolorata Marasco
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Corresponding author

Correspondence to Addolorata Marasco .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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Carannante, I., Marasco, A. (2018). Olfactory Sensory Neurons to Odor Stimuli: Mathematical Modeling of the Response. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_100663-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_100663-1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7320-6

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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