author : Pierre Peretto

Contents:

1. Introduction
   • emergence • automata
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 dynaics in 'visible' neural netowrks
8. Solving the problem of credit assignment
9. Self-organization
   • ontogenesis
10. Neurocomputation
11. Neurocomputers
12. A critical view of the modeling of neural networks