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Analysis Of A Model For Epilepsy Application Of A Maxtype Dierence Equation To Mesial Temporal Lobe Epilepsy Candace M Kent

  • SKU: BELL-46210118
Analysis Of A Model For Epilepsy Application Of A Maxtype Dierence Equation To Mesial Temporal Lobe Epilepsy Candace M Kent
$ 31.00 $ 45.00 (-31%)

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Analysis Of A Model For Epilepsy Application Of A Maxtype Dierence Equation To Mesial Temporal Lobe Epilepsy Candace M Kent instant download after payment.

Publisher: CRC Press/Chapman & Hall
File Extension: PDF
File size: 7.32 MB
Pages: 171
Author: Candace M. Kent, David M. Chan
ISBN: 9781032255385, 1032255382
Language: English
Year: 2022

Product desciption

Analysis Of A Model For Epilepsy Application Of A Maxtype Dierence Equation To Mesial Temporal Lobe Epilepsy Candace M Kent by Candace M. Kent, David M. Chan 9781032255385, 1032255382 instant download after payment.

In the 1960s and 1970s, mathematical biologists Sir Robert M. May, E.C. Pielou, and others utilized difference equations as models of ecological and epidemiological phenomena. Since then, with or without applications, the mathematics of difference equations has evolved into a field unto itself. Difference 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 ofAnalysis of a Model for Epilepsy: Application of a Max-Type Difference Equation to Mesial Temporal Lobe Epilepsyand their colleagues investigated the first known application of a "max-type" difference 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 callrippled 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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