Hopfield model with complementary binary representations

A Hopfield neural network model with complementary binary representations is proposed. Advantages of this approach are improvement in memory capacity and error-correction capability when compared with conventional binary models. Some requirements of the Hopfield model necessary to obtain perfect recall can also be relaxed.