In the design of a neural network, either for biological modeling, cognitive simulation, numerical computation or engineering applications, it is important to investigate the network's computational performance which is usually described by the long-term behaviors, called dynamics, of the model equations. The purpose of this book is to give an introduction to the mathematical modeling and analysis of networks of neurons from the viewpoint of dynamical systems.

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"Altogether, the book spans the range from introductory examples to recent research results, connects biological applications to the mathematical background, and provides an extensive bibliography for further study. Thus it is suitable both for students and for researchers, and will hopefully find many readers." Mathematical Reviews

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