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Cooperative and competitive cellular neural networks

The cooperative and competitive networks proposed by Amari and Arbib are a mathematical model for the winner-take-all process. If this network is implemented by realistic circuit elements, there are many problems. In this paper, we propose cooperative and competitive cellular neural networks by extending the Amari-Arbib model to achieve low power consumption, no oscillation and fast convergence by using piecewise-linear functions. Moreover, the cooperative and competitive cellular neural networks are applied to block matching using basic cellular neural networks.