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基于线性表示的完全异步随机更新下随机布尔网络的动力学。

Dynamics of random Boolean networks under fully asynchronous stochastic update based on linear representation.

机构信息

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.

出版信息

PLoS One. 2013 Jun 13;8(6):e66491. doi: 10.1371/journal.pone.0066491. Print 2013.

DOI:10.1371/journal.pone.0066491
PMID:23785502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3681962/
Abstract

A novel algebraic approach is proposed to study dynamics of asynchronous random Boolean networks where a random number of nodes can be updated at each time step (ARBNs). In this article, the logical equations of ARBNs are converted into the discrete-time linear representation and dynamical behaviors of systems are investigated. We provide a general formula of network transition matrices of ARBNs as well as a necessary and sufficient algebraic criterion to determine whether a group of given states compose an attractor of length[Formula: see text] in ARBNs. Consequently, algorithms are achieved to find all of the attractors and basins in ARBNs. Examples are showed to demonstrate the feasibility of the proposed scheme.

摘要

本文提出了一种新的代数方法来研究异步随机布尔网络(ARBN)的动力学,其中每个时间步可以更新任意数量的节点。在本文中,将 ARBN 的逻辑方程转换为离散时间线性表示,并研究了系统的动态行为。我们给出了 ARBN 网络转移矩阵的一般公式,以及确定给定状态组是否构成 ARBN 中长度为[Formula: see text]的吸引子的必要和充分的代数准则。因此,得到了在 ARBN 中寻找所有吸引子和吸引域的算法。通过示例验证了所提出方案的可行性。

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