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Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

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Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Issue 10 • Date Oct 1995

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Title History

Autowaves and spatio-temporal chaos in CNNs. I. A tutorial

Autowaves and spatio-temporal chaos in CNNs. II. A tutorial

Study of reentry initiation in coupled parallel fibers [cardiology]

Investigation of chaos in large arrays of Chua's circuits via a spectral technique

Application of Kronecker products to the analysis of systems with uniform linear coupling

Turing patterns in CNNs. I. Once over lightly

Chaos and structures in a chain of mutually-coupled Chua's circuits

Simulating nonlinear waves and partial differential equations via CNN. II. Typical examples

Spatio-temporal chaos in simple coupled chaotic circuits

Coexistence of excitability, Hopf and Turing modes in a one-dimensional array of nonlinear circuits

A computer-assisted investigation of a 2-D array of Chua's circuits

Pattern formation properties of autonomous Cellular Neural Networks

Turing patterns in CNNs. II. Equations and behaviors

Pattern formation and spatial chaos in lattice dynamical systems. II

Homoclinic orbits and solitary waves in a one-dimensional array of Chua's circuits

A CNN model of oscillation and chaos in ant colonies: a case study

Circuit models for linear and nonlinear waves

Methods for image processing and pattern formation in Cellular Neural Networks: a tutorial

Autonomous cellular neural networks: a unified paradigm for pattern formation and active wave propagation

Chaotic waves and spatio-temporal patterns in large arrays of doubly-coupled Chua's circuits

The evolution of spatio-temporal disorder in a chain of unidirectionally-coupled Chua's circuits

Simulating nonlinear waves and partial differential equations via CNN. I. Basic techniques

On Turing instability in two diffusely coupled systems

Pattern formation and spatial chaos in lattice dynamical systems. I

Application of cellular neural networks to model population dynamics

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