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Disordered Systems and Biological Organization Proceedings of the NATO Advanced Research Workshop on Disordered Systems and Biological Organization held at Les Houches, February 25 – March 8, 1985

The NATO workshop on Disordered Systems and Biological Organization was attended, in march 1985, by 65 scientists representing a large variety of fields: Mathematics, Computer Science, Physics and Biology. It was the purpose of this interdisciplinary workshop to shed light on the conceptual connecti...

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Bibliographic Details
Other Authors: Bienenstock, E. (Editor), Fogelman Soulie, F. (Editor), Weisbuch, G. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1986, 1986
Edition:1st ed. 1986
Series:NATO ASI Subseries F:, Computer and Systems Sciences
Subjects:
Health Informatics
Bioinformatics
Computational And Systems Biology
Medical Informatics
Artificial Intelligence
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • 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
  • 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

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