Approach to local diffusion and global propagation in 1-dim. cellular neural networks

Patrick Thiran; Gianluca Setti

Approach to local diffusion and global propagation in 1-dim. cellular neural networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The phenomena of local diffusion and global propagation in a one-dimensional Cellular Neural Network (CNN) are studied. The distinction between these two ways of information processing is discussed focusing on their practical consequences on stability, on the influence of boundary conditions, on the dependence of the number of stable equilibria with the number of cells, on the existence of limit cycles, and on the lengths of transients.

Original language	English (US)
Title of host publication	Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
Publisher	IEEEPiscataway, NJ, United States
State	Published - Dec 1 1994
Externally published	Yes

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title = "Approach to local diffusion and global propagation in 1-dim. cellular neural networks",

abstract = "The phenomena of local diffusion and global propagation in a one-dimensional Cellular Neural Network (CNN) are studied. The distinction between these two ways of information processing is discussed focusing on their practical consequences on stability, on the influence of boundary conditions, on the dependence of the number of stable equilibria with the number of cells, on the existence of limit cycles, and on the lengths of transients.",

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AU - Thiran, Patrick

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PY - 1994/12/1

Y1 - 1994/12/1

N2 - The phenomena of local diffusion and global propagation in a one-dimensional Cellular Neural Network (CNN) are studied. The distinction between these two ways of information processing is discussed focusing on their practical consequences on stability, on the influence of boundary conditions, on the dependence of the number of stable equilibria with the number of cells, on the existence of limit cycles, and on the lengths of transients.

AB - The phenomena of local diffusion and global propagation in a one-dimensional Cellular Neural Network (CNN) are studied. The distinction between these two ways of information processing is discussed focusing on their practical consequences on stability, on the influence of boundary conditions, on the dependence of the number of stable equilibria with the number of cells, on the existence of limit cycles, and on the lengths of transients.

UR - http://www.scopus.com/inward/record.url?scp=0028738753&partnerID=8YFLogxK

M3 - Conference contribution

BT - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

PB - IEEEPiscataway, NJ, United States

ER -

Approach to local diffusion and global propagation in 1-dim. cellular neural networks

Abstract

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