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Mathematical Neuroscience - Stanislaw Brzychczy, Roman R. Poznanski

Mathematical Neuroscience

Buch | Hardcover
208 Seiten
2013
Academic Press Inc (Verlag)
978-0-12-411468-5 (ISBN)
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Suitable for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way, this title examines the solvability of infinite systems of reaction diffusion type equations in partially ordered abstract spaces. It considers various methods and techniques of nonlinear analysis.
Mathematical Neuroscience is a book for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear analysis of infinite systems based on functional analysis techniques arising in modern mathematics.

Neural models that describe the spatio-temporal evolution of coarse-grained variables—such as synaptic or firing rate activity in populations of neurons —and often take the form of integro-differential equations would not normally reflect an integrative approach. This book examines the solvability of infinite systems of reaction diffusion type equations in partially ordered abstract spaces. It considers various methods and techniques of nonlinear analysis, including comparison theorems, monotone iterative techniques, a truncation method, and topological fixed point methods. Infinite systems of such equations play a crucial role in the integrative aspects of neuroscience modeling.

Roman R. Poznanski is a distinguished mathematical neuroscientist and research professor in theoretical studies on the brain. As a prolific writer, he has edited several contemporary books: Biophysical Neural Networks (2001), Modeling in the Neurosciences (1999, 2005), Biophysics of Consciousness (2017), and co-authored Mathematical Neuroscience (2014).

Part I. Methods of Nonlinear Analysis

1. Introduction to Part I

2. Notations, Definitions and Assumptions

3. Differential Inequalities

4. Monotone Iterative Methods

5. Methods of Lower and Upper Solutions

6. Truncation Method

7. Fixed Point Method

8. Stability of Solutions

PART II. Application of Nonlinear Analysis

9. Introduction to Part II

10. Continuous and Discrete Models of Neural Systems

11. Nonlinear Cable Equations

12. Reaction-Diffusion Equations




Appendix




Further Reading

Verlagsort San Diego
Sprache englisch
Maße 191 x 235 mm
Gewicht 620 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Medizin / Pharmazie Medizinische Fachgebiete Neurologie
Naturwissenschaften Biologie Humanbiologie
Naturwissenschaften Biologie Zoologie
ISBN-10 0-12-411468-7 / 0124114687
ISBN-13 978-0-12-411468-5 / 9780124114685
Zustand Neuware
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