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Computational Modeling of Olfactory Behavior

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Encyclopedia of Computational Neuroscience

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Computational modeling is an essential tool for developing an understanding of how nervous systems compute. This is particularly so for questions that span levels of analysis, attempting to integrate cellular, neuromodulatory, and electrophysiological data with behavioral performance. In neuroscience, computational techniques are used to study the mechanisms underlying neuronal or network responses to simple and complex inputs, analyze interactions among the parameters governing the properties of a neuron or network, and determine the coordinated mechanisms that underlie experimentally observed rich phenomena such as coherent oscillations or synaptic plasticity. In particular, computational modeling has been successful in associating neural activity with behavioral function, proposing neurophysiological mechanisms for observed behavioral capabilities, and generating novel, testable hypotheses. In our lab, computational models of behavioral phenomena have enabled us to...

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Author information

Authors and Affiliations

  1. Computational Physiology Lab, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA

    Christiane Linster

  2. Computational Physiology Lab, Department of Psychology, Cornell University, Ithaca, NY, USA

    Thomas A. Cleland

Authors
  1. Christiane Linster
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  2. Thomas A. Cleland
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Corresponding author

Correspondence to Christiane Linster .

Editor information

Editors and Affiliations

  1. Atlanta, GA, USA

    Dieter Jaeger

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

    Ranu Jung

Section Editor information

  1. Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA

    Michele Migliore

  2. Institute of Biophysics, National Research Council, Palermo, Italy

    Michele Migliore

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Linster, C., Cleland, T.A. (2019). Computational Modeling of Olfactory Behavior. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_607-2

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_607-2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7320-6

  • Online ISBN: 978-1-4614-7320-6

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Chapter history

  1. Latest

    Computational Modeling of Olfactory Behavior
    Published:
    27 October 2018

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_607-2

  2. Original

    Computational Modeling of Olfactory Behavior
    Published:
    26 March 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_607-1

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