Name: Analysis of a Model for Epilepsy: Application of a Max-Type DiFFErence Equation to Mesial Temporal Lobe Epilepsy (Chapman & Hall (en Inglés)
Price: 125180.00 CLP
Availability: InStock
Author: Candace M. Kent; David M. Chan
ISBN: 9781032255385

portada Analysis of a Model for Epilepsy: Application of a Max-Type DiFFErence Equation to Mesial Temporal Lobe Epilepsy (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Candace M. Kent; David M. Chan

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9781032255385

Analysis of a Model for Epilepsy: Application of a Max-Type DiFFErence Equation to Mesial Temporal Lobe Epilepsy (Chapman & Hall (en Inglés)

Candace M. Kent; David M. Chan (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "Analysis of a Model for Epilepsy: Application of a Max-Type DiFFErence Equation to Mesial Temporal Lobe Epilepsy (Chapman & Hall (en Inglés)"

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 of Analysis of a Model for Epilepsy: Application of a Max-Type Difference Equation to Mesial Temporal Lobe Epilepsy and 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 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