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细菌 E. coli 基因调控网络中耦合二维映射的稳定性和混沌。

Stability and chaos in coupled two-dimensional maps on gene regulatory network of bacterium E. coli.

机构信息

Department of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Street 24/25, D-14476 Potsdam-Golm, Germany.

出版信息

Chaos. 2010 Sep;20(3):033115. doi: 10.1063/1.3474906.

Abstract

The collective dynamics of coupled two-dimensional chaotic maps on complex networks is known to exhibit a rich variety of emergent properties which crucially depend on the underlying network topology. We investigate the collective motion of Chirikov standard maps interacting with time delay through directed links of gene regulatory network of bacterium Escherichia coli. Departures from strongly chaotic behavior of the isolated maps are studied in relation to different coupling forms and strengths. At smaller coupling intensities the network induces stable and coherent emergent dynamics. The unstable behavior appearing with increase of coupling strength remains confined within a connected subnetwork. For the appropriate coupling, network exhibits statistically robust self-organized dynamics in a weakly chaotic regime.

摘要

在复杂网络上,耦合二维混沌映射的集体动力学表现出丰富多样的涌现特性,这些特性主要取决于基础网络拓扑结构。我们研究了细菌大肠杆菌基因调控网络的有向连接通过时滞相互作用的 Chirikov 标准映射的集体运动。研究了不同耦合形式和强度下与孤立映射的强烈混沌行为的偏离情况。在较小的耦合强度下,网络会产生稳定和连贯的涌现动力学。随着耦合强度的增加,出现的不稳定行为仍然局限在一个连通子网内。对于适当的耦合,网络在弱混沌区域表现出具有统计鲁棒性的自组织动力学。

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