Title: Key Features of Turing Systems are Determined Purely by Network Topology
Abstract: Turing’s theory of pattern formation is a universal model for self-organization, applicable to many systems in physics, chemistry, and biology. Essential properties of a Turing system, such as the conditions for the existence of patterns and the mechanisms of pattern selection, are well understood in small networks. However, a general set of rules explaining how network topology determines fundamental system properties and constraints has not been found. Here we provide a first general theory of Turing network topology, which proves why three key features of a Turing system are directly determined by the topology: the type of restrictions that apply to the diffusion rates, the robustness of the system, and the phase relations of the molecular species.
Figures of Interest:
Reference:
Diego, X., Marcon, L., Müller, P., & Sharpe, J. (2018). Key features of Turing systems are determined purely by network topology. Physical Review X, 8(2), 021071.
More available here!