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Analysis of a Model for Epilepsy
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Analysis of a Model for Epilepsy : Application of a Max-Type Di?erence Equation to Mesial Temporal Lobe Epilepsy

Book Details

Format Hardback or Cased Book
ISBN-10 1032255382
ISBN-13 9781032255385
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 8th, 2022
Print length 160 Pages
Weight 480 grams
Ksh 30,600.00
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The authors of this book and their colleagues investigated the ?rst known application of a "max-type" di?erence equation. Their equation is a phenomenological model of epileptic seizures. In this book, the authors expand on that research and present a more comprehensive development of mathematical, numerical, and biological results.

In the 1960s and 1970s, mathematical biologists Sir Robert M. May, E.C. Pielou, and others utilized di?erence equations as models of ecological and epidemiological phenomena. Since then, with or without applications, the mathematics of di?erence equations has evolved into a ?eld unto itself. Di?erence equations with the maximum (or the minimum or the "rank-type") function were rigorously investigated from the mid-1990s into the 2000s, without any applications in mind. These equations often involved arguments varying from reciprocal terms with parameters in the numerators to other special functions.

Recently, the authors of Analysis of a Model for Epilepsy: Application of a Max-Type Difference Equation to Mesial Temporal Lobe Epilepsy and their colleagues investigated the ?rst known application of a "max-type" di?erence equation. Their equation is a phenomenological model of epileptic seizures. In this book, the authors expand on that research and present a more comprehensive development of mathematical, numerical, and biological results. Additionally, they describe the first documented instance of a novel dynamical behavior that they call rippled almost periodic behavior, which can be described as an unpredictable pseudo-periodic behavior.

Features

:

  • Suitable for researchers in mathematical neuroscience and potentially as supplementary reading for postgraduate students
  • Thoroughly researched and replete with references

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