Introduction to the Modeling of Neural Networks

Zusammenfassung This text is a beginning graduate-level introduction to neural networks! focussing on current theoretical models! examining what these models can reveal about how the brain functions! and discussing the ramifications for psychology! artificial intelligence and the construction of a new generation of intelligent computers. Inhaltsverzeichnis Preface; Acknowledgments; 1. Introduction; 2. The biology of neural networks: a few features for the sake of non-biologists; 3. The dynamics of neural networks: a stochastic approach; 4. Hebbian models of associative memory; 5. Temporal sequences of patterns; 6. The problem of learning in neural networks; 7. Learning dynamics in 'visible' neural networks; 8. Solving the problem of credit assignment; 9. Self-organization; 10. Neurocomputation; 11. Neurocomputers; 12. A critical view of the modeling of neural networks; References; Index.

Product details

• Authors: Pierre Peretto, Peretto Pierre, Peretto Pierre
• Assisted by: Godr& (Editor), C. Godr&138 Che (Editor)
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 29.10.1992
• EAN: 9780521414517
• ISBN: 978-0-521-41451-7
• No. of pages: 492
• Series: Cambridge Ocean Technology Ser; Collection Alea-Saclay: Monographs and Texts in Statistical Physics; Collection Alea-Saclay: Monographs and Texts in Statistical Physics
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > General, dictionaries; SCIENCE / Life Sciences / Zoology / General, SCIENCE / Physics / General, MEDICAL / Neurology, Neurology and clinical neurophysiology, Animal Physiology, Statistical physics, Zoology and animal sciences