Number of stable equilibrium states of cellular neural networks

In this report we present an explicit formula for the number of stable equilibrium states of one dimensional cellular neural networks. It is based on the equivalence of stable equilibrium states and paths in a graph representing neighborhood consistency conditions.<
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