A synthesis procedure for associative memories using cellular neural networks with space-invariant cloning template library

Cellular neural network (CNNs) with the space-invariant cloning template are suitable for analog hardware implementation because the sparse interconnected structure decreases the number of the synaptic circuits and each neuron has the identical set of weights. However, this condition restricts very much the capability of CNNs for associative memories. In this paper, we propose associative memories using CNNs with the space-invariant cloning template library to overcome this problem.