Mathematical Neuroscience

Author:   Stanislaw Brzychczy (Head, Department of Differential Equations, Faculty of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland) ,  Roman R. Poznanski (Universiti Teknologi Malaysia)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780124114685


Pages:   208
Publication Date:   30 September 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Mathematical Neuroscience


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Author:   Stanislaw Brzychczy (Head, Department of Differential Equations, Faculty of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland) ,  Roman R. Poznanski (Universiti Teknologi Malaysia)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 19.10cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.620kg
ISBN:  

9780124114685


ISBN 10:   0124114687
Pages:   208
Publication Date:   30 September 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

Reviews

Brzychczy,. Krak w and Poznanski.present methods of nonlinear functional analysis and their application to neuroscience. This is the first book, they say, to compile methods of nonlinear analysis to better understand the dynamics associated with solutions of infinite systems of equations. It would be suitable as a textbook for a one-semester graduate course in mathematical neuroscience for neuroscience students seeking tools and mathematics students looking for applications. --Reference & Research Book News, December 2013


Brzychczy,... Krakow and Poznanski...present methods of nonlinear functional analysis and their application to neuroscience. This is the first book, they say, to compile methods of nonlinear analysis to better understand the dynamics associated with solutions of infinite systems of equations. It would be suitable as a textbook for a one-semester graduate course in mathematical neuroscience for neuroscience students seeking tools and mathematics students looking for applications. --Reference & Research Book News, December 2013


Brzychczy,... Krakow and Poznanski...present methods of nonlinear functional analysis and their application to neuroscience. This is the first book, they say, to compile methods of nonlinear analysis to better understand the dynamics associated with solutions of infinite systems of equations. It would be suitable as a textbook for a one-semester graduate course in mathematical neuroscience for neuroscience students seeking tools and mathematics students looking for applications. --Reference & Research Book News, December 2013


Brzychczy,. Krakow and Poznanski.present methods of nonlinear functional analysis and their application to neuroscience. This is the first book, they say, to compile methods of nonlinear analysis to better understand the dynamics associated with solutions of infinite systems of equations. It would be suitable as a textbook for a one-semester graduate course in mathematical neuroscience for neuroscience students seeking tools and mathematics students looking for applications. --Reference & Research Book News, December 2013


Author Information

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).

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