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Disordered Systems and Biological Organization

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Cover of 'Disordered Systems and Biological Organization'

Table of Contents

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    Book Overview
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    Chapter 1 Cellular Automata Models of Disorder And Organization
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    Chapter 2 Dynamics and Self-Organization in One-Dimensional Arrays
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    Chapter 3 Basic Results for the Behaviour of Discrete Iterations
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    Chapter 4 On Some Dynamical Properties of Monotone Networks
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    Chapter 5 Inhomogeneous Cellular Automata (INCA)
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    Chapter 6 The Ising Model And The Rudin-Shapiro Sequence
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    Chapter 7 Dynamical Properties of An Automaton with Memory
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    Chapter 8 Dynamics of Random Boolean Networks
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    Chapter 9 Random Fields And Spatial Renewal Potentials
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    Chapter 10 Lyapunov Functions and Their USE in Automata Networks
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    Chapter 11 Positive Automata Networks
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    Chapter 12 Directional Entropies of Cellular Automaton-Maps
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    Chapter 13 On the Statistical Physics of Spin Glasses
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    Chapter 14 Symbolic Computation Methods for Some Spin Glasses Problems
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    Chapter 15 Order and Defects in Geometrically Frustrated Systems
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    Chapter 16 Collective Computation With Continuous Variables
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    Chapter 17 Collective Properties of Neural Networks
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    Chapter 18 Determining The Dynamic Landscape Of Hopfield Networks
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    Chapter 19 High Resolution Microfabrication and Neural Networks
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    Chapter 20 Ultrametricity, Hopfield Model and all that
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    Chapter 21 The Emergence of Hierarchical Data Structures in Parallel Computation
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    Chapter 22 Cognitive Capabilities of a Parallel System
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    Chapter 23 Neural Network Design for Efficient Information Retrieval
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    Chapter 24 Learning Process in an Asymmetric Threshold Network
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    Chapter 25 Layered Networks for Unsupervised Learning
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    Chapter 26 Statistical Coding and Short-Term Synaptic Plasticity: A Scheme for Knowledge Representation in the Brain
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    Chapter 27 A Physiological Neural Network as an Autoassociative Memory
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    Chapter 28 Configuration Space Analysis for Optimization Problems
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    Chapter 29 Statistical Mechanics: a General Approach to Combinatorial Optimization
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    Chapter 30 Bayesian Image Analysis
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    Chapter 31 The Langevin Equation as a Global Minimization Algorithm
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    Chapter 32 Spin Glass and Pseudo-Boolean Optimization
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    Chapter 33 Local Versus Global Minima, Hysteresis, Multiple Meanings
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    Chapter 34 Boolean Systems, Adaptive Automata, Evolution
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    Chapter 35 Invariant Cycles in the Random Mapping of N Integers Onto Themselves. Comparison with Kauffman Binary Network
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    Chapter 36 Fibroblasts, Morphogenesis and Cellular Automata
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    Chapter 37 Percolation and Frustration in Neural Networks
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    Chapter 38 Self Organizing Mathematical Models: Nonlinear Evolution Equations with a Convolution term
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    Chapter 39 Recurrent Collateral Inhibition Simulated in a Simple Neuronal Automata Assembly
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    Chapter 40 Cerebellum Models: an Interpretation of Some Features
Overall attention for this book and its chapters
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2 Wikipedia pages

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25 Mendeley
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Title
Disordered Systems and Biological Organization
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-82657-3
ISBNs
978-3-64-282659-7, 978-3-64-282657-3
Editors

Bienenstock, E., Soulié, F. Fogelman, Weisbuch, G.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 4 16%
Professor 4 16%
Professor > Associate Professor 3 12%
Student > Master 3 12%
Other 1 4%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 8 32%
Agricultural and Biological Sciences 4 16%
Engineering 2 8%
Mathematics 1 4%
Psychology 1 4%
Other 6 24%
Unknown 3 12%