强烈的延迟负反馈

Thomas Erneux
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摘要

在本文中,我们分析了两种负反馈方案的强反馈极限,事实证明,这两种方案在许多生物过程(蛋白质合成、免疫反应、呼吸紊乱)中都很有效。在这一极限中,非线性延迟反馈函数可以简化为具有阈值非线性的函数。这将大大有助于对表现出不同拓扑结构的网络进行分析和数值研究。在数学上,我们比较了延迟和非延迟反馈函数的分岔图,并表明在强反馈极限中需要重新审视霍普夫经典理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strong delayed negative feedback
In this paper, we analyze the strong feedback limit of two negative feedback schemes which have proven to be efficient for many biological processes (protein synthesis, immune responses, breathing disorders). In this limit, the nonlinear delayed feedback function can be reduced to a function with a threshold nonlinearity. This will considerably help analytical and numerical studies of networks exhibiting different topologies. Mathematically, we compare the bifurcation diagrams for both the delayed and non-delayed feedback functions and show that Hopf classical theory needs to be revisited in the strong feedback limit.
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