A new approach to design cellular neural networks for associative memories

In this brief, a synthesis procedure of cellular neural networks for associative memories is presented, The proposed method, by assuring the global asymptotic stability of the equilibrium point, generates networks where the input data are fed via external inputs rather than initial conditions. This new approach enables to design both heteroassociative and autoassociative memories and reveals particularly suitable for VLSI implementation techniques.