1-Automata Theory -- 1 Cellular automata models of disorder and organization -- 2 Dynamics and Self organization in one-dimensional arrays -- 3 Basic results for the behaviour of discrete iterations -- 4 On some dynamical properties of monotone networks -- 5 Inhomogeneous cellular automata (INCA) -- 6 The Ising model and the Rudin Shapiro sequence -- 7 Dynamical properties of an automaton with memory -- 8 Dynamics of random boolean networks -- 9 Random fields and spatial renewal potentials -- 10 Lyapunov functions and their use in automata networks -- 11 Positive automata networks -- 12 Directional entropies of cellular automaton-maps -- 2- Physical Disordered Systems -- 13 On the statistical physics of spin glasses -- 14 Symbolic computation methods for some spin glasses problems -- 15 Order and defects in geometrically frustrated systems -- 3- Formal Neural Networks -- 16 Collective computation with continuous variables -- 17 Collective properties of neural networks -- 18 Determining the dynamic landscape of Hopfield networks -- 19 High resolution micro-fabrication and neural networks -- 20 Ultrametricity, Hopfield model and all that -- 21 The emergence of hierarchical data structures in parallel computation -- 22 Cognitive capabilities of a parallel system -- 23 Neural network design for efficient information retrieval -- 24 Learning process in an asymmetric threshold network -- 25 Layered networks for unsupervised learning -- 26 Statistical coding and short-term synaptic plasticity: a scheme for knowledge representation in the brain -- 27 A physiological neural network as an autoassociative memory -- 4- Combinatorial Optimization -- 28 Configuration space analysis for optimization problems -- 29 Statistical mechanics: a general approach to combinatorial optimization -- 30 Bayesian image analysis -- 31 The Langevin equation as a global minimization algorithm -- 32 Spin glass and pseudo boolean optimization -- 33 Local versus global minima, hysteresis, multiple meanings -- 5- Models of Biological Organization -- 34 Boolean systems, adaptive automata, evolution -- 35 Invariant cycles in the random mapping of n integers onto themselves. Comparison with Kauffman binary network -- 36 Fibroblasts, morphogenesis and cellular automata -- 37 Percolation and frustration in neural networks -- 38 Self organizing mathematical models: non linear evolution equations with a convolution term -- 39 Recurrent collateral inhibition simulated in a simple neuronal automata assembly -- 40 Cerebellum models: an interpretation of some features.