Self-Organization and Pattern Formation in Primate Cortical Networks

2008 ◽  
pp. 178-198 ◽  
Author(s):  
Henry Kennedy ◽  
Rodney Douglas ◽  
Kenneth Knoblauch ◽  
Colette Dehay
Keyword(s):  
Pattern Formation ◽  
Self Organization ◽  
Cortical Networks

PATTERN FORMATION BY ELECTROSTATIC SELF-ORGANIZATION OF MEMBRANE PROTEINS

2012 ◽  
pp. 94-102
Author(s):  
G. BOEDEC ◽  
M. JAEGER ◽  
F. HOMBLE ◽  
M. LEONETTI
Keyword(s):  
Pattern Formation ◽  
Membrane Proteins ◽  
Self Organization

Self-organization and Pattern-formation in Neuronal Systems Under Conditions of Variable Gravity

2011 ◽  
Author(s):  
Meike Wiedemann ◽  
Florian P. M. Kohn ◽  
Harald Roesner ◽  
Wolfgang R. L. Hanke
Keyword(s):  
Pattern Formation ◽  
Self Organization ◽  
Variable Gravity ◽  
Neuronal Systems

IMAGE PROCESSING AND SELF-ORGANIZING CNN

2005 ◽  
Vol 15 (09) ◽  
pp. 2939-2958 ◽  
Author(s):  
MAKOTO ITOH ◽  
LEON O. CHUA
Keyword(s):  
Image Processing ◽  
Pattern Formation ◽  
Vector Fields ◽  
Reaction Diffusion ◽  
Neural Field ◽  
Reaction Diffusion Equations ◽  
Diffusion Equations ◽  
Self Organization ◽  
Field Equations ◽  
Neural Field Equations

CNN templates for image processing and pattern formation are derived from neural field equations, advection equations and reaction–diffusion equations by discretizing spatial integrals and derivatives. Many useful CNN templates are derived by this approach. Furthermore, self-organization is investigated from the viewpoint of divergence of vector fields.

scholarly journals Una Exploración Conceptual de la Formación de Patrones en Sistemas Sociales Autorganizados

Ingeniería ◽  
2018 ◽  
Vol 23 (1) ◽  
pp. 84
Author(s):  
David Anzola
Keyword(s):  
Pattern Formation ◽  
Interdisciplinary Collaboration ◽  
Complexity Science ◽  
Self Organization ◽  
Social Self ◽  
Social Scientists ◽  
Self Organized ◽  
Scientists And Engineers ◽  
High Level ◽  
Self Organizing

Context: The concept of self-organization plays a major role in contemporary complexity science. Yet, the current framework for the study of self-organization is only able to capture some of the nuances of complex social self-organizing phenomena.Method: This article addresses some of the problematic elements in the study of social selforganization. For this purpose, it focuses on pattern formation, a feature of self-organizing phenomena that is common across definitions. The analysis is carried out through three main questions: where can we find these patterns, what are these patterns and how can we study these patterns.Results: The discussion shows that there is a high level of specificity in social self-organized phenomena that is not adequately addressed by the current complexity framework. It argues that some elements are neglected by this framework because they are relatively exclusive to social science; others, because of the relative novelty of social complexity.Conclusions: It is suggested that interdisciplinary collaboration between social scientists and complexity scientists and engineers is needed, in order to overcome traditional disciplinary limitations in the study of social self-organized phenomena.

scholarly journals Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation

2020 ◽  
Vol 16 (5) ◽  
pp. e1007611 ◽  
Author(s):  
Sara Jamous ◽  
Andrea Comba ◽  
Pedro R. Lowenstein ◽  
Sebastien Motsch
Keyword(s):  
Pattern Formation ◽  
Brain Tumors ◽  
Cell Density ◽  
Cell Morphology ◽  
Self Organization

scholarly journals Discovery of fairy circles in Australia supports self-organization theory

2016 ◽  
Vol 113 (13) ◽  
pp. 3551-3556 ◽  
Author(s):  
Stephan Getzin ◽  
Hezi Yizhaq ◽  
Bronwyn Bell ◽  
Todd E. Erickson ◽  
Anthony C. Postle ◽  
...  
Keyword(s):  
Pattern Formation ◽  
Organization Theory ◽  
Bare Soil ◽  
Self Organization ◽  
Homogeneous Distribution ◽  
Small Scale ◽  
Water Runoff ◽  
Driving Mechanism ◽  
Spatial Pattern Analysis ◽  
Formation Theory

Vegetation gap patterns in arid grasslands, such as the “fairy circles” of Namibia, are one of nature’s greatest mysteries and subject to a lively debate on their origin. They are characterized by small-scale hexagonal ordering of circular bare-soil gaps that persists uniformly in the landscape scale to form a homogeneous distribution. Pattern-formation theory predicts that such highly ordered gap patterns should be found also in other water-limited systems across the globe, even if the mechanisms of their formation are different. Here we report that so far unknown fairy circles with the same spatial structure exist 10,000 km away from Namibia in the remote outback of Australia. Combining fieldwork, remote sensing, spatial pattern analysis, and process-based mathematical modeling, we demonstrate that these patterns emerge by self-organization, with no correlation with termite activity; the driving mechanism is a positive biomass–water feedback associated with water runoff and biomass-dependent infiltration rates. The remarkable match between the patterns of Australian and Namibian fairy circles and model results indicate that both patterns emerge from a nonuniform stationary instability, supporting a central universality principle of pattern-formation theory. Applied to the context of dryland vegetation, this principle predicts that different systems that go through the same instability type will show similar vegetation patterns even if the feedback mechanisms and resulting soil–water distributions are different, as we indeed found by comparing the Australian and the Namibian fairy-circle ecosystems. These results suggest that biomass–water feedbacks and resultant vegetation gap patterns are likely more common in remote drylands than is currently known.

COMMUNICATION, REGULATION AND CONTROL DURING COMPLEX PATTERNING OF BACTERIAL COLONIES

Fractals ◽  
1994 ◽  
Vol 02 (01) ◽  
pp. 15-44 ◽  
Author(s):  
ESHEL BEN-JACOB ◽  
OFER SHOCHET ◽  
ADAM TENENBAUM ◽  
INON COHEN ◽  
ANDRAS CZIRÓK ◽  
...  
Keyword(s):  
Pattern Formation ◽  
Degrees Of Freedom ◽  
Cooperative Behavior ◽  
Building Blocks ◽  
Growth Conditions ◽  
Living Systems ◽  
Self Organization ◽  
Bacterial Colony ◽  
Additional Level ◽  
The Individual

We present a study of interfacial pattern formation during growth of bacterial colonies. Growth of bacterial colony bears similarities to but presents an inherent additional level of complexity compared to non-living systems. In the former case, the building blocks themselves are living systems each with its own autonomous self-interest and internal degrees of freedom. At the same time, efficient adaptation of the colony to adverse growth conditions requires self-organization on all levels — which can be achieved only via cooperative behavior of the bacteria. To do so, the bacteria have developed sophisticated communication channels on all levels. Here we present a non-local communicating walkers model to study the effect of local bacterium-bacterium interaction and communication via chemotaxis signaling. We demonstrate how communication enables the colony to develop complex patterns in response to adverse growth conditions. Efficient response of the colony requires self-organization on all levels, which can be achieved only via cooperative behavior of the bacteria. It can be viewed as the action of an interplay between the micro-level (the individual bacterium) and the macro-level (the colony) in the determination of the emerging pattern. Some qualitative features of the complex morphologies can be accounted for by invoking ideas from pattern formation in non-living systems together with a simplified model of chemotactic "feedback."

Pattern formation by electro-osmotic self-organization in flat biomembranes

1997 ◽  
Vol 56 (4) ◽  
pp. 4521-4525 ◽  
Author(s):  
Marc Léonetti ◽  
E. Dubois-Violette
Keyword(s):  
Pattern Formation ◽  
Self Organization
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