Book contents
- Frontmatter
- 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
7 - Learning dynamics in ‘visible’ neural networks
Published online by Cambridge University Press: 30 November 2009
Book contents
- Frontmatter
- 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
- Type
- Chapter
- Information
- An Introduction to the Modeling of Neural Networks , pp. 209 - 268Publisher: Cambridge University PressPrint publication year: 1992