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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Osipov, Grigory V |
Synchronization in Oscillatory Networks |
I07576 |
2007 |
eBook |
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| 2 |
Graben, Peter |
Lectures in Supercomputational Neuroscience |
I06525 |
2008 |
eBook |
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1.
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| Title | Synchronization in Oscillatory Networks |
| Author(s) | Osipov, Grigory V;Kurths, J??rgen;Zhou, Changsong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2007. |
| Description | XIV, 370 p. 221 illus : online resource |
| Abstract Note | The formation of collective behavior in large ensembles or networks of coupled oscillatory elements is one of the oldest and most fundamental aspects of dynamical systems theory. Potential and present applications span a vast spectrum of fields ranging from physics, chemistry, geoscience, through life- and neurosciences to engineering, the economic and the social sciences. This work systematically investigates a large number of oscillatory network configurations that are able to describe many real systems such as electric power grids, lasers or the heart muscle - to name but a few. This book is conceived as an introduction to the field for graduate students in physics and applied mathematics as well as being a compendium for researchers from any field of application interested in quantitative models |
| ISBN,Price | 9783540712695 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. CLASSICAL MECHANICS
5. COMPLEX SYSTEMS
6. DYNAMICAL SYSTEMS
7. Dynamical Systems and Ergodic Theory
8. DYNAMICS
9. EBOOK
10. EBOOK - SPRINGER
11. ERGODIC THEORY
12. GAME THEORY
13. Game Theory, Economics, Social and Behav. Sciences
14. MECHANICS
15. STATISTICAL PHYSICS
16. SYSTEM THEORY
17. Systems Theory, Control
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07576 |
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On Shelf |
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2.
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| Title | Lectures in Supercomputational Neuroscience : Dynamics in Complex Brain Networks |
| Author(s) | Graben, Peter;Zhou, Changsong;Thiel, Marco;Kurths, J??rgen |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2008. |
| Description | X, 377 p : online resource |
| Abstract Note | Computational Neuroscience is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g. from linguistics and medicine, seem to be able to expand the limits of our knowledge. The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory coupling and the plasticity of the network. The computational implementation on supercomputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research. Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortical connections of a cat's brain, supported with data from experimental studies. This book is particularly suited for graduate students and nonspecialists from related fields with a general science background, looking for a substantial but "hands-on" introduction to the subject matter |
| ISBN,Price | 9783540731597 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. COMPLEX SYSTEMS
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. Neurosciences
10. Numerical and Computational Physics, Simulation
11. PHYSICS
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06525 |
|
|
On Shelf |
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