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Review

2019

Review

2019

Spiking neural networks are nature's versatile solution to fault-tolerant and energy efficient signal processing. To translate… Expand

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Highly Cited

2006

Highly Cited

2006

There is a rich literature on discrete time models in many disciplines – including economics – in which dynamic processes are… Expand

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Highly Cited

2005

Highly Cited

2005

Preface Part I. Introduction: 1. Introduction 2. Motivating examples Part II. Preliminaries: 3. Tools from matrix theory 4… Expand

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Highly Cited

2003

Highly Cited

2003

In this chapter we will introduce methods and techniques to analyze models with stochasticity or randomness. In particular we… Expand

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Highly Cited

1992

Highly Cited

1992

An introduction to dynamical systems some non-linear time series models probability structure statistical aspects non-linear… Expand

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Highly Cited

1987

Highly Cited

1987

A new graphical tool for measuring the time constancy of dynamical systems is presented and illustrated with typical examples.

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Highly Cited

1986

Highly Cited

1986

Part One: One-Dimensional Dynamics Examples of Dynamical Systems Preliminaries from Calculus Elementary Definitions Hyperbolicity… Expand

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Highly Cited

1984

Highly Cited

1984

Contents: Introduction: Differential Equations and Dynamical Systems.- An Introduction to Chaos: Four Examples.- Local… Expand

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Highly Cited

1984

Highly Cited

1984

1.Random Perturbations.- 2.Small Random Perturbations on a Finite Time Interval.- 3.Action Functional.- 4.Gaussian Perturbations… Expand

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Highly Cited

1974

Highly Cited

1974

This book is about dynamical aspects of ordinary differential equations and the relations between dynamical systems and certain… Expand

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