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Stochastic Equations in Neurobiology and Population Biology

  • L. M. Ricciardi
Conference paper
Part of the Lecture Notes in Biomathematics book series (LNBM, volume 39)

Abstract

Rather than spending time to describe at length specific models of biophysical interest I thought it would be more profitable to discuss certain aspects of mathematical modeling whose interest surely extends far beyond the simple examples I shall bring up from the fields of neurobiology and population biology. I shall thus talk about stochastic equations and their use for model building. For the sake of brevity I shall limit myself to considering only first order equations. On the other hand, little of the present considerations can be extended to the multidimensional case.

Keywords

Stochastic Differential Equation Random Environment Stochastic Equation Differential Expansion Malthusian Parameter 
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 1980

Authors and Affiliations

  • L. M. Ricciardi
    • 1
  1. 1.Istituto di Scienze dell’Informazione dell’UniversitàSalernoItaly

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