A group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made progress understanding memory by studying the properties of models of neural networks. This book introduces and explains techniques bought from physics to the study of neural networks and the insights they have stimulated.
Inhaltsverzeichnis
Preface; 1. Introduction; 2. The basic attractor neural network; 3. General ideas concerning dynamics; 4. Symmetric neural networks at low memory loading; 5. Storage and retrieval of temporal sequences; 6. Storage capacity of ANNs; 7. Robustness - getting closer to biology; 8. Memory data structures; 9. Learning; 10. Hareware implementations of neural networks; Glossary; Index.
Klappentext
One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers.
