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Geometric properties of a class of piecewise affine biological network models

机译:一类分段仿射生物网络模型的几何性质

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The purpose of this report is to investigate some dynamical properties common to several biological systems. A model is chosen, which consists of a system of piecewise affine differential equations. Such a model has been previously studied in the context of gene regulation and neural networks, as well as biochemical kinetics. Unlike most of these studies, nonuniform decay rates and several thresholds per variable are assumed, thus considering a more realistic model. This model is investigated with the aid of a geometric formalism. We first provide an analysis of a continuous-space, discrete-time dynamical system equivalent to the initial one, by the way of a transition map. This is similar to former studies. Especially, the analysis of periodic trajectories is carried out in the case of multiple thresholds, thus extending previous results, which all concerned the restricted case of binary systems.
机译:本报告的目的是研究几种生物系统共有的一些动力学特性。选择一个模型,该模型由分段仿射微分方程组组成。先前已经在基因调节和神经网络以及生化动力学的背景下研究了这种模型。与大多数这些研究不同,我们假设衰减率不均匀且每个变量有多个阈值,因此考虑了更现实的模型。在几何形式主义的帮助下研究了该模型。我们首先通过过渡映射的方式对与初始系统等效的连续空间,离散时间动力系统进行分析。这类似于以前的研究。特别地,在多个阈值的情况下进行周期性轨迹的分析,从而扩展了先前的结果,这些结果都与二元系统的受限情况有关。

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