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Stochastic Resonance: Balance Control and Cochlear Implants

Encyclopedia of Computational Neuroscience

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Synonyms

Noise enhancement of weak subthreshold signals

Definition

Originally discovered in climate data (Nicolis and Nicolis 1981; Nicolis 1982), the phenomenon of stochastic resonance occurs when an intermediate (i.e., neither too large nor too small) amount of noise enhances the transmission of a weak periodic signal (McNamara and Wiesenfeld 1989). More specifically, the signal-to-noise ratio of the weak periodic signal is increased by the added noise; the signal is “weak” in the sense that, in the absence of noise, it is below the threshold of detection. A low-amplitude added noise contributes jitter to the weak periodic signal, but is not sufficient to ever push the signal over the detection threshold. A large-amplitude noisy input, in contrast, adds so much jitter that, while the weak signal plus noise does often exceed the threshold, the signal is not separable from the noise (Jung and Hänggi 1991; Dykman et al. 1992). An intermediate-amplitude noisy input allows the weak...

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Authors and Affiliations

  1. Center for Neurodynamics, University of Missouri at St. Louis, St. Louis, MO, USA

    Sonya Bahar

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  1. Sonya Bahar
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Correspondence to Sonya Bahar .

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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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Bahar, S. (2013). Stochastic Resonance: Balance Control and Cochlear Implants. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_512-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_512-1

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  • Online ISBN: 978-1-4614-7320-6

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Chapter history

  1. Latest

    Stochastic Resonance: Balance Control and Cochlear Implants
    Published:
    18 June 2018

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_512-2

  2. Original

    Stochastic Resonance: Balance Control and Cochlear Implants
    Published:
    13 February 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_512-1

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