Preface |
Acknowledgments |
Introduction / 1: |
The biology of neural networks: a few features for the sake of non-biologists / 2: |
The dynamics of neural networks: a stochastic approach / 3: |
Hebbian models of associative memory / 4: |
Temporal sequences of patterns / 5: |
The problem of learning in neural networks / 6: |
Learning dynamics in 'visible' neural networks / 7: |
Solving the problem of credit assignment / 8: |
Self-organization / 9: |
Neurocomputation / 10: |
Neurocomputers / 11: |
A critical view of the modeling of neural networks / 12: |
References |
Index |