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9789810237929

Pattern Formation in Biology, Vision and Dynamics

by ; ; ;
  • ISBN13:

    9789810237929

  • ISBN10:

    9810237928

  • Format: Hardcover
  • Copyright: 1999-07-01
  • Publisher: WORLD SCIENTIFIC PUB CO INC
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Summary

Half a billion years of evolution have turned the eye into an unbelievable pattern detector. Everything we perceive comes in delightful multicolored forms. Now, in the age of science, we want to comprehend what and why we see.Two dozen outstanding biologists, chemists, physicists, psychologists, computer scientists and mathematicians met at the Institut d'Hautes Etudes Scientifiques in Bures-sur-Yvette, France. They expounded their views on the physical, biological and physiological mechanisms creating the tapestry of patterns we see in molecules, plants, insects, seashells, and even the human brain. This volume comprises surveys of different aspects of pattern formation and recognition, and is aimed at the scientifically minded reader.

Table of Contents

Prefacep. vii
Growth and Formp. 1
Paradigms of Pattern Formation: Towards a Computational Theory of Morphogenesisp. 3
Introductionp. 3
Single blind agent with finite memoryp. 6
Single blind agent with infinite memoryp. 7
Single sighted agent receiving cues from the environment (one-way exogenous control)p. 8
Single sighted agent receiving cues from the structure (two-way exogenous control)p. 10
Single self-controlled agent (endogenous control)p. 11
Multiple blind agents with finite memoryp. 12
Multiple blind agents with infinite memoryp. 14
Multiple sighted agentsp. 14
Multiple endogenously-controlled agentsp. 16
Combined effect of multiple mechanismsp. 18
Conclusionsp. 19
Growth and Form of Sponges and Corals in a Moving Fluidp. 24
Introductionp. 24
Biological backgroundp. 24
Simulation of growth in a mono directional flowp. 26
Simulation of growth in a bidirectional (alternating) flowp. 28
Methodsp. 29
Modelling the nutrient distributionp. 29
Modelling the growth process in an alternating flowp. 31
Resultsp. 32
Discussionp. 37
From Pseudo-Random Numbers to Stochastic Growth Models and Texture Imagesp. 42
Introductionp. 42
Pseudo-random number generatorsp. 43
Growth modelsp. 45
Eden's type growth modelsp. 45
Conway's "Game of Life" and its modificationsp. 48
Algorithmic models of texture imagesp. 54
The algorithmic approach to synthesis and analysis of texture imagesp. 55
Crystal Growth, Biological Cell Growth, and Geometryp. 65
Introductionp. 65
A growing tree trunk whose shape oscillates wildly in timep. 66
Cell growth versus crystal growthp. 66
The groundrulesp. 66
The planp. 67
The coordination problemp. 68
The signal problemp. 68
The delay problemp. 69
The signal cascadep. 70
Using boundariesp. 70
Measuring shapep. 70
The examplep. 71
The geometry of rat tissuep. 72
Discrete geometryp. 72
Euclidean geometry, the lens of the eye, and muscle fibersp. 73
Spherical geometry and the bladderp. 73
Negatively curved geometry and the lung, brain, digestive, and endocrine systemsp. 73
Conflicting geometriesp. 74
Crystalsp. 75
Examples of crystalsp. 75
Ways of viewing crystalsp. 76
Negatively curved crystals are asymptotically fractalp. 78
The Cayley crystalp. 78
Thin trianglesp. 79
Asymptotic shapep. 79
Fractal Theoremp. 80
Proofp. 80
Recent Results on Aperiodic Wang Tilingsp. 83
Introductionp. 83
Algebraic construction of aperiodic tile setsp. 87
Forced tiles and determinismp. 89
Beyond aperiodicityp. 93
Conclusions and open problemsp. 94
Reaction-Diffusion and Beyondp. 97
Biological Pattern Formation as a Complex Dynamic Phenomenonp. 99
The problem of pattern formationp. 99
The egg cannot contain the final patternp. 100
Organizing regionsp. 100
The concept of positional informationp. 101
Generation of a primary pattern by autocatalysis and lateral inhibitionp. 101
The Activator-Inhibitor conceptp. 102
Comparison with Turing's mechanismp. 105
The wave length problem--stabilization of a monotonic gradient by a feedback on the source densityp. 106
How to generate structures close to each other, how at a distance: head, foot and tentacle formation in Hydrap. 108
Activation of genes under the influence of morphogenetic signallingp. 110
Formation of filament-like branching structuresp. 113
Segmentation by mutual activation of cell states that locally exclude each otherp. 115
Pattern formation in secondary embryonic fields: differentiation borders obtain organizing propertiesp. 116
Pigmentation pattern of shells of mollusk--a natural picture book to study dynamic systemsp. 117
Traces of a stable pattern, oscillations and travelling waves: lines parallel, perpendicular or oblique to the direction of growthp. 118
Travelling waves with unusual propertiesp. 119
Formation of branches: the sudden formation of backwards-running wavesp. 119
Penetration of waves without annihilationp. 121
Not all together nowp. 123
Travelling waves without pace-makerp. 124
Complex patterns result from the superposition of two patternsp. 124
Superposition of two time-dependent patternsp. 126
Open problems in shell patterningp. 127
Andronov Bifurcations and Sea Shell Patternsp. 133
Andronov bifurcations in extended systemsp. 136
Sea shell patternsp. 139
Cavitation like patternsp. 141
Patterns of excitable wavesp. 141
Rational and Irrational Angles in Phyllotaxisp. 145
Introductionp. 145
The geometry of phyllotaxisp. 145
The dynamics of phyllotaxisp. 146
The self organisation in model iterative systemsp. 147
Hofmeister's rules: the spiral modesp. 147
The dynamical selection of the Fibonacci modesp. 148
The generalised model: Snow and Snow's rulesp. 153
The selection of the actually observed patternsp. 155
The selection during the plant growthp. 156
Conclusionsp. 156
Cellular Patternsp. 161
Organogenetic Cellular Patterning in Plantsp. 163
Introductionp. 163
Cell patterning from the perspective of the cell bodyp. 164
What lies behind analyses of cell patterning?p. 167
A simple autoregenerating cell pattern related to organogenesisp. 169
Simulation of cell patterns and the uncovery of division rulesp. 172
The Simulation System for the Psilotum Apexp. 172
Identification of cell typesp. 177
Merophyte formation by apical divisionsp. 178
Wall-offsetting leads to refinement of the wall production systemp. 179
The distribution of apical triangular cells and the problem of dichotomous axis branchingp. 181
Possible regulatory factors underlying cell patterning and its simulation at the psilotum apexp. 182
A System's View of Division Wall Site Selectionp. 182
Cytological View of Division Wall Site Selectionp. 186
Was there a precursor of the psilotum pattern?p. 189
Prospectsp. 193
A Classification of Plant Meristems based on Cellworks (3D L-systems). The Maintainance and Complexity of Their Cellular Patternsp. 199
Introductionp. 199
Cellworksp. 201
A classification of plant formsp. 203
Specification of a cellwork system with double labelled wallsp. 208
How to find a Cellwork system with an autoreproductive initial cellp. 209
Extended classification of plant formsp. 210
Passage from one generating system to anotherp. 212
Limits of the classification tablesp. 212
From topology to geometryp. 212
Conclusionp. 214
Plant Meristems and Their Patternsp. 217
Introductionp. 217
Patterns of the shoot apical meristemp. 218
Developmental variation of cellular patternsp. 218
The geometry of a growing apexp. 222
Phyllotaxisp. 224
Cellular patterns of vascular cambiump. 228
Storied patternp. 229
The pattern of growth activityp. 231
Structural wavy patternsp. 232
Conclusionsp. 235
Mechanical Stress Patterns in Plant Cell Walls and Their Morphogenetical Importancep. 240
Introductionp. 240
Stress anisotropyp. 240
Stress distributionp. 245
Conclusionsp. 248
Tensorial Model for Growth and Cell Division in the Shoot Apexp. 252
Symplastic Growth and the Growth Tensorp. 252
Model for Growth and Cell Division in the Shoot Apex (2-dimensional)p. 254
The Example of Application of the Modelp. 259
Discussionp. 263
DNA and Genetic Controlp. 269
DNA Nanotechnology: From Topological Control to Structural Controlp. 271
DNA Nanotechnologyp. 271
Double Helical DNAp. 272
Genetic Recombination and the Holliday Junctionp. 274
Immobile Branched Junctionsp. 275
Characterization of Unusual DNA Motifs and Structuresp. 277
DNA Ligation and Cohesionp. 278
Branched DNA and Sticky Endsp. 280
Connectivityp. 281
Topological Features of DNA Constructsp. 281
Construction of DNA Polyhedrap. 282
DNA Catenanes and Knotsp. 286
Construction of DNA Knotsp. 288
DNA Borromean Ringsp. 289
Rigid Componentsp. 292
1-D and 2-D Periodic Arraysp. 294
Nanomechanical Devicesp. 297
Prospectsp. 300
3D DNA Patterns and Computationp. 310
Introductionp. 310
Constructing Graphs with k-Armed Branched Moleculesp. 312
The Hamiltonian cycle problemp. 312
The Three Vertex Colorability Problem (3VC)p. 315
Recognition of Graph Structuresp. 318
Covering graphs and complexityp. 318
Graphs made of one single stranded DNA moleculep. 319
Final Remarksp. 321
Circular Suggestions for DNA Computingp. 325
Introductionp. 325
Naturally Occurring Plasmidsp. 326
The Delphic Plasmid, DELp. 327
Independent Subsets and Vertex Covers for Undirected Graphsp. 329
Partitions into Hamiltonian Subgraphsp. 331
Satisfiability of Boolean Formulasp. 332
DNA Computing by Matching: Sticker Systems and Watson-Crick Automatap. 336
Introductionp. 336
DNA: Structure and Annealing Operationp. 339
Formal Language Theory Prerequisitesp. 341
The Twin-shuffle Language and its Relation with DNAp. 342
The Operation of Stickingp. 344
Sticker Systemsp. 346
The Power of Sticker Systemsp. 349
Watson-Crick Finite Automatap. 352
The Power of Watson-Crick Finite Automatap. 353
Variants of Watson-Crick Automatap. 356
Conclusionsp. 359
Images and Perceptionp. 363
Aspects of Human Shape Perceptionp. 365
Shape from motionp. 365
From moving to static shapesp. 367
Static shapes: the gestalt approachp. 367
Static shapes: the importance of orientationsp. 370
2D perceptual geometryp. 373
From 2D to 3Dp. 374
Shape synthesisp. 378
Pattern Recognition in The Visual System and The Nature of Neural Codingp. 382
Introductionp. 382
The efficiency of pattern recognition by the human visual systemp. 382
The Coding Problemp. 385
An alternative--Using patterns of spikesp. 386
Rank Order Codingp. 387
Rank Order Decodingp. 388
Conclusions and Perspectivesp. 390
How can Singularity Theory Help in Image Processing?p. 392
Introductionp. 392
Digital imagesp. 395
Compression problemp. 396
An example of data representation, based on normal forms of singularitiesp. 400
Singularities of digital images and their normal formsp. 402
Detection of singularities and their approximation by normal formsp. 408
Vectorized imagesp. 415
Creation of virtual worldsp. 418
Possible implications for human visual perceptionp. 423
Table of Contents provided by Syndetics. All Rights Reserved.

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