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Single Neuron Models

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Stochastic Neuron Models

Part of the book series: Mathematical Biosciences Institute Lecture Series ((STOCHBS,volume 1.5))

Abstract

Neuron models seem to come in three types: binary, threshold, and dynamical. We indicate some of the potential problems for probabilists associated with each type. In each case we first describe the deterministic model and its characteristics and then indicate how introducing noise, or stochasticity, into the model affects its behavior.

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Authors and Affiliations

  1. University of British Columbia, Vancouver, Canada

    Priscilla E. Greenwood & Lawrence M. Ward

Authors
  1. Priscilla E. Greenwood
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  2. Lawrence M. Ward
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Greenwood, P.E., Ward, L.M. (2016). Single Neuron Models. In: Stochastic Neuron Models. Mathematical Biosciences Institute Lecture Series(), vol 1.5. Springer, Cham. https://doi.org/10.1007/978-3-319-26911-5_2

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