Analysis of a Model for Epilepsy (e-bog) af Chan, David M.
Chan, David M. (forfatter)

Analysis of a Model for Epilepsy e-bog

436,85 DKK (inkl. moms 546,06 DKK)
In the 1960s and 1970s, mathematical biologists Sir Robert M. May, E.C. Pielou, and others utilized dii erence equations as models of ecological and epidemiological phenomena. Since then, with or without applications, the mathematics of dii erence equations has evolved into a field unto itself. Dii erence equations with the maximum (or the minimum or the &quote;rank-type&quote;) function wer...
E-bog 436,85 DKK
Forfattere Chan, David M. (forfatter)
Udgivet 7 juni 2022
Længde 160 sider
Genrer Medicine: general issues
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781000594379
In the 1960s and 1970s, mathematical biologists Sir Robert M. May, E.C. Pielou, and others utilized dii erence equations as models of ecological and epidemiological phenomena. Since then, with or without applications, the mathematics of dii erence equations has evolved into a field unto itself. Dii erence equations with the maximum (or the minimum or the "e;rank-type"e;) 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 i rst known application of a "e;max-type"e; dii 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 studentsThoroughly researched and replete with references