Spin glasses and biology

목차 (Table of Contents)

• CONTENTS
• Preface = ⅴ
• Introduction / P.W. Anderson = 1
• The Physics of Neural Networks / H. Gutfreund ; G. Toulouse = 7
• 1. Introduction = 7
• 2. Basic Elements of Neural Network Models = 11
• 3. Basic Functions of Neural Network Models = 17
• 4. The Hopfield Model = 23
• 5. The Gardner Approach = 32
• 6. Hierarchically Correlated Data and Categorization = 40
• 7. Generalization = 46
• 8. Discussion - Issues of Relevance = 52
• References = 56
• The Origins of Order : Self-Organization and Selection in Evoiution / S.A. Kauffman = 61
• 1. Introduction = 61
• 2. Fitness Landscapes in Sequence Space = 66
• 3. The NK Model of Rugged Fitness Landscapes = 69
• 4. The Rank Order Statistics on K = N - 1 Random Landscapes = 78
• 5. Summary = 95
• References = 98
• Self-Organization in Prebiological Systems : A Model for the Origin of Genetic Information / D.S. Rokhsar = 101
• 1. Biology and Information = 101
• 2. A Model for Self-Replicating Polymer Systems = 110
• 3. Some Numerical Results = 123
• 4. Conclusions = 137
• References = 138
• Evolution of Species and Punctuated Equilibria : Genotypes, Phenotypes and Population Dynamics / G. Weisbuch = 141
• 1. Introduction = 141
• 2. Robustness in Networks of Automata = 146
• 3. Evolution of Species = 150
• References = 158
• Mathematical Models of Evolution on Rugged Landscapes / A.S. Perelson ; C.A. Macken = 159
• 1. Introduction = 159
• 2. A Model of Affinity Maturation = 161
• 3. Results = 164
• 4. Correlated Landscapes = 173
• References = 175
• The Spin-Glass Analogy in Protein Dynamics / R.H. Austin ; C.M. Chen = 179
• 1. Foreword : Just What Problem Are We Trying to Solve? = 179
• 2. What is a Spin Glass? = 180
• 3. What a Protein Glass Might Be = 184
• 4. Properties of Spin Glasses = 186
• 5. Spin Glasses and Elastic Orientational Glasses = 197
• 6. Spin Glasses and Proteins = 200
• References = 220
• Spin Glass Ideas and the Protein Folding Problems / P.G. Wolynes = 225
• 1. Introduction = 225
• 2. Phenomenological Background for the Protein Folding Problem = 227
• 3. Spin Glasses and Protein Folding = 234
• 4. Sophisticated Theories of Heteropolymer Collapse as a Basis for the Statistical Protein Model = 244
• 5. Using Spin Glass Ideas in the Design of Protein Folding Algorithms = 250
• 6. Questions Raised by this Spin Glass Picture in the Protein Folding Problem = 255
• References = 257