What is included with this book?
Preface | p. vii |
Growth and Form | p. 1 |
Paradigms of Pattern Formation: Towards a Computational Theory of Morphogenesis | p. 3 |
Introduction | p. 3 |
Single blind agent with finite memory | p. 6 |
Single blind agent with infinite memory | p. 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 memory | p. 12 |
Multiple blind agents with infinite memory | p. 14 |
Multiple sighted agents | p. 14 |
Multiple endogenously-controlled agents | p. 16 |
Combined effect of multiple mechanisms | p. 18 |
Conclusions | p. 19 |
Growth and Form of Sponges and Corals in a Moving Fluid | p. 24 |
Introduction | p. 24 |
Biological background | p. 24 |
Simulation of growth in a mono directional flow | p. 26 |
Simulation of growth in a bidirectional (alternating) flow | p. 28 |
Methods | p. 29 |
Modelling the nutrient distribution | p. 29 |
Modelling the growth process in an alternating flow | p. 31 |
Results | p. 32 |
Discussion | p. 37 |
From Pseudo-Random Numbers to Stochastic Growth Models and Texture Images | p. 42 |
Introduction | p. 42 |
Pseudo-random number generators | p. 43 |
Growth models | p. 45 |
Eden's type growth models | p. 45 |
Conway's "Game of Life" and its modifications | p. 48 |
Algorithmic models of texture images | p. 54 |
The algorithmic approach to synthesis and analysis of texture images | p. 55 |
Crystal Growth, Biological Cell Growth, and Geometry | p. 65 |
Introduction | p. 65 |
A growing tree trunk whose shape oscillates wildly in time | p. 66 |
Cell growth versus crystal growth | p. 66 |
The groundrules | p. 66 |
The plan | p. 67 |
The coordination problem | p. 68 |
The signal problem | p. 68 |
The delay problem | p. 69 |
The signal cascade | p. 70 |
Using boundaries | p. 70 |
Measuring shape | p. 70 |
The example | p. 71 |
The geometry of rat tissue | p. 72 |
Discrete geometry | p. 72 |
Euclidean geometry, the lens of the eye, and muscle fibers | p. 73 |
Spherical geometry and the bladder | p. 73 |
Negatively curved geometry and the lung, brain, digestive, and endocrine systems | p. 73 |
Conflicting geometries | p. 74 |
Crystals | p. 75 |
Examples of crystals | p. 75 |
Ways of viewing crystals | p. 76 |
Negatively curved crystals are asymptotically fractal | p. 78 |
The Cayley crystal | p. 78 |
Thin triangles | p. 79 |
Asymptotic shape | p. 79 |
Fractal Theorem | p. 80 |
Proof | p. 80 |
Recent Results on Aperiodic Wang Tilings | p. 83 |
Introduction | p. 83 |
Algebraic construction of aperiodic tile sets | p. 87 |
Forced tiles and determinism | p. 89 |
Beyond aperiodicity | p. 93 |
Conclusions and open problems | p. 94 |
Reaction-Diffusion and Beyond | p. 97 |
Biological Pattern Formation as a Complex Dynamic Phenomenon | p. 99 |
The problem of pattern formation | p. 99 |
The egg cannot contain the final pattern | p. 100 |
Organizing regions | p. 100 |
The concept of positional information | p. 101 |
Generation of a primary pattern by autocatalysis and lateral inhibition | p. 101 |
The Activator-Inhibitor concept | p. 102 |
Comparison with Turing's mechanism | p. 105 |
The wave length problem--stabilization of a monotonic gradient by a feedback on the source density | p. 106 |
How to generate structures close to each other, how at a distance: head, foot and tentacle formation in Hydra | p. 108 |
Activation of genes under the influence of morphogenetic signalling | p. 110 |
Formation of filament-like branching structures | p. 113 |
Segmentation by mutual activation of cell states that locally exclude each other | p. 115 |
Pattern formation in secondary embryonic fields: differentiation borders obtain organizing properties | p. 116 |
Pigmentation pattern of shells of mollusk--a natural picture book to study dynamic systems | p. 117 |
Traces of a stable pattern, oscillations and travelling waves: lines parallel, perpendicular or oblique to the direction of growth | p. 118 |
Travelling waves with unusual properties | p. 119 |
Formation of branches: the sudden formation of backwards-running waves | p. 119 |
Penetration of waves without annihilation | p. 121 |
Not all together now | p. 123 |
Travelling waves without pace-maker | p. 124 |
Complex patterns result from the superposition of two patterns | p. 124 |
Superposition of two time-dependent patterns | p. 126 |
Open problems in shell patterning | p. 127 |
Andronov Bifurcations and Sea Shell Patterns | p. 133 |
Andronov bifurcations in extended systems | p. 136 |
Sea shell patterns | p. 139 |
Cavitation like patterns | p. 141 |
Patterns of excitable waves | p. 141 |
Rational and Irrational Angles in Phyllotaxis | p. 145 |
Introduction | p. 145 |
The geometry of phyllotaxis | p. 145 |
The dynamics of phyllotaxis | p. 146 |
The self organisation in model iterative systems | p. 147 |
Hofmeister's rules: the spiral modes | p. 147 |
The dynamical selection of the Fibonacci modes | p. 148 |
The generalised model: Snow and Snow's rules | p. 153 |
The selection of the actually observed patterns | p. 155 |
The selection during the plant growth | p. 156 |
Conclusions | p. 156 |
Cellular Patterns | p. 161 |
Organogenetic Cellular Patterning in Plants | p. 163 |
Introduction | p. 163 |
Cell patterning from the perspective of the cell body | p. 164 |
What lies behind analyses of cell patterning? | p. 167 |
A simple autoregenerating cell pattern related to organogenesis | p. 169 |
Simulation of cell patterns and the uncovery of division rules | p. 172 |
The Simulation System for the Psilotum Apex | p. 172 |
Identification of cell types | p. 177 |
Merophyte formation by apical divisions | p. 178 |
Wall-offsetting leads to refinement of the wall production system | p. 179 |
The distribution of apical triangular cells and the problem of dichotomous axis branching | p. 181 |
Possible regulatory factors underlying cell patterning and its simulation at the psilotum apex | p. 182 |
A System's View of Division Wall Site Selection | p. 182 |
Cytological View of Division Wall Site Selection | p. 186 |
Was there a precursor of the psilotum pattern? | p. 189 |
Prospects | p. 193 |
A Classification of Plant Meristems based on Cellworks (3D L-systems). The Maintainance and Complexity of Their Cellular Patterns | p. 199 |
Introduction | p. 199 |
Cellworks | p. 201 |
A classification of plant forms | p. 203 |
Specification of a cellwork system with double labelled walls | p. 208 |
How to find a Cellwork system with an autoreproductive initial cell | p. 209 |
Extended classification of plant forms | p. 210 |
Passage from one generating system to another | p. 212 |
Limits of the classification tables | p. 212 |
From topology to geometry | p. 212 |
Conclusion | p. 214 |
Plant Meristems and Their Patterns | p. 217 |
Introduction | p. 217 |
Patterns of the shoot apical meristem | p. 218 |
Developmental variation of cellular patterns | p. 218 |
The geometry of a growing apex | p. 222 |
Phyllotaxis | p. 224 |
Cellular patterns of vascular cambium | p. 228 |
Storied pattern | p. 229 |
The pattern of growth activity | p. 231 |
Structural wavy patterns | p. 232 |
Conclusions | p. 235 |
Mechanical Stress Patterns in Plant Cell Walls and Their Morphogenetical Importance | p. 240 |
Introduction | p. 240 |
Stress anisotropy | p. 240 |
Stress distribution | p. 245 |
Conclusions | p. 248 |
Tensorial Model for Growth and Cell Division in the Shoot Apex | p. 252 |
Symplastic Growth and the Growth Tensor | p. 252 |
Model for Growth and Cell Division in the Shoot Apex (2-dimensional) | p. 254 |
The Example of Application of the Model | p. 259 |
Discussion | p. 263 |
DNA and Genetic Control | p. 269 |
DNA Nanotechnology: From Topological Control to Structural Control | p. 271 |
DNA Nanotechnology | p. 271 |
Double Helical DNA | p. 272 |
Genetic Recombination and the Holliday Junction | p. 274 |
Immobile Branched Junctions | p. 275 |
Characterization of Unusual DNA Motifs and Structures | p. 277 |
DNA Ligation and Cohesion | p. 278 |
Branched DNA and Sticky Ends | p. 280 |
Connectivity | p. 281 |
Topological Features of DNA Constructs | p. 281 |
Construction of DNA Polyhedra | p. 282 |
DNA Catenanes and Knots | p. 286 |
Construction of DNA Knots | p. 288 |
DNA Borromean Rings | p. 289 |
Rigid Components | p. 292 |
1-D and 2-D Periodic Arrays | p. 294 |
Nanomechanical Devices | p. 297 |
Prospects | p. 300 |
3D DNA Patterns and Computation | p. 310 |
Introduction | p. 310 |
Constructing Graphs with k-Armed Branched Molecules | p. 312 |
The Hamiltonian cycle problem | p. 312 |
The Three Vertex Colorability Problem (3VC) | p. 315 |
Recognition of Graph Structures | p. 318 |
Covering graphs and complexity | p. 318 |
Graphs made of one single stranded DNA molecule | p. 319 |
Final Remarks | p. 321 |
Circular Suggestions for DNA Computing | p. 325 |
Introduction | p. 325 |
Naturally Occurring Plasmids | p. 326 |
The Delphic Plasmid, DEL | p. 327 |
Independent Subsets and Vertex Covers for Undirected Graphs | p. 329 |
Partitions into Hamiltonian Subgraphs | p. 331 |
Satisfiability of Boolean Formulas | p. 332 |
DNA Computing by Matching: Sticker Systems and Watson-Crick Automata | p. 336 |
Introduction | p. 336 |
DNA: Structure and Annealing Operation | p. 339 |
Formal Language Theory Prerequisites | p. 341 |
The Twin-shuffle Language and its Relation with DNA | p. 342 |
The Operation of Sticking | p. 344 |
Sticker Systems | p. 346 |
The Power of Sticker Systems | p. 349 |
Watson-Crick Finite Automata | p. 352 |
The Power of Watson-Crick Finite Automata | p. 353 |
Variants of Watson-Crick Automata | p. 356 |
Conclusions | p. 359 |
Images and Perception | p. 363 |
Aspects of Human Shape Perception | p. 365 |
Shape from motion | p. 365 |
From moving to static shapes | p. 367 |
Static shapes: the gestalt approach | p. 367 |
Static shapes: the importance of orientations | p. 370 |
2D perceptual geometry | p. 373 |
From 2D to 3D | p. 374 |
Shape synthesis | p. 378 |
Pattern Recognition in The Visual System and The Nature of Neural Coding | p. 382 |
Introduction | p. 382 |
The efficiency of pattern recognition by the human visual system | p. 382 |
The Coding Problem | p. 385 |
An alternative--Using patterns of spikes | p. 386 |
Rank Order Coding | p. 387 |
Rank Order Decoding | p. 388 |
Conclusions and Perspectives | p. 390 |
How can Singularity Theory Help in Image Processing? | p. 392 |
Introduction | p. 392 |
Digital images | p. 395 |
Compression problem | p. 396 |
An example of data representation, based on normal forms of singularities | p. 400 |
Singularities of digital images and their normal forms | p. 402 |
Detection of singularities and their approximation by normal forms | p. 408 |
Vectorized images | p. 415 |
Creation of virtual worlds | p. 418 |
Possible implications for human visual perception | p. 423 |
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