Capacity of cellular neural networks as associative memories

In the paper a cellular neural network (CNN) architecture as an associative memory is considered. The boundary for the maximum number of memory vectors is obtained. The result suggests that the maximum number of memory vectors arbitrarily chosen from a set of linearly independent vectors is not related to the size of CNN but depends only on radius of the neighborhood.