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Related Experiment Video

Updated: May 13, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

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Published on: April 30, 2019

Competitively coupled maps and spatial pattern formation.

Timothy Killingback1, Gregory Loftus, Bala Sundaram

  • 1Department of Mathematics, University of Massachusetts, Boston, Massachusetts 02125, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 19, 2013
PubMed
Summary

This study introduces a simpler, robust model for spatial pattern formation using competitive coupling in coupled map lattices. This approach achieves spontaneous symmetry breaking and stable patterns, offering an alternative to complex reaction-diffusion systems.

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Area of Science:

  • Physics
  • Chemistry
  • Biology
  • Complex Systems

Background:

  • Spatial pattern formation is crucial in natural systems.
  • Understanding spontaneous symmetry breaking from homogeneous states is a key theoretical challenge.
  • Turing's reaction-diffusion systems are the standard model.

Purpose of the Study:

  • To present a simpler and more robust model for spatial pattern formation.
  • To investigate an alternative mechanism to diffusion for pattern generation.
  • To demonstrate spontaneous symmetry breaking and stable pattern formation.

Main Methods:

  • Formulation of a novel coupled map lattice model.
  • Coupling local site dynamics through competitive interaction, not diffusion.
  • Analysis of pattern formation based on interaction strength.

Main Results:

  • Competitive coupling induces spontaneous symmetry breaking.
  • Stable spatial patterns emerge from homogeneous initial states.
  • The mechanism is robust across various spatial geometries.

Conclusions:

  • The proposed coupled map lattice model offers a simpler, robust alternative for studying spatial pattern formation.
  • Competitive interaction is sufficient for generating complex patterns.
  • This model provides new insights into symmetry breaking in natural systems.