A synthesis procedure for Hopfield´s continuous time content addressable memory

A technique is presented for designing content-addressable memories to be implemented by Hopfield neural networks. The technique guarantees that each desired memory is stored and is attractive. The procedure also guarantees that the resulting network is implementable, a requirement that is often overlooked by other methods. The synthesis procedure does not require a symmetric interconnection matrix; instead, stability is guaranteed by use of the results presented by A.N. Michel and R.K. Miller (Qualitative Analysis of Large Scale Dynamical Systems, Academic Press, 1977). Two examples are presented to demonstrate the synthesis procedure´s storage capacity and flexibility