chapter 1 Neural networks—an overview -- chapter 2 Real and artificial neurons -- chapter 3 TLUs, linear separability and vectors -- chapter 4 Training TLUs: the perceptron rule -- chapter 5 The delta rule -- chapter 6 Multilayer nets and backpropagation -- chapter 7 Associative memories: the Hopfield net -- chapter 8 Self-organization -- chapter 9 Adaptive resonance theory: ART -- chapter 10 Nodes, nets and algorithms: further alternatives -- chapter 11 Taxonomies, contexts and hierarchies.