An introduction to the modeling of neural networks /
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Author / Creator: | Peretto, Pierre |
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Imprint: | Cambridge [England] ; New York : Cambridge University Press, 1992. |
Description: | xviii, 473 p. : ill. ; 24 cm. |
Language: | English |
Series: | Collection Aléa-Saclay 2 |
Subject: | |
Format: | Print Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/1558512 |
Table of Contents:
- 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