Pierre Peretto

An Introduction to the Modeling of Neural Networks

Herausgeber: Godr&138 Che, C.

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Collection Alea-Saclay: Monographs and Texts in Statistical Physics
• Verlag: Cambridge University Press
• Seitenzahl: 492
• Erscheinungstermin: 30. August 2004
• Englisch
• Abmessung: 235mm x 157mm x 33mm
• Gewicht: 934g
• ISBN-13: 9780521414517
• ISBN-10: 0521414512
• Artikelnr.: 21442000

Inhaltsangabe

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.