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非高斯噪声诱导的合成基因网络中的并行逻辑门

Parallel logic gates in synthetic gene networks induced by non-Gaussian noise.

作者信息

Xu Yong, Jin Xiaoqin, Zhang Huiqing

机构信息

Department of Applied Mathematics Northwestern Polytechnical University, Xi'an, 710072, China.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Nov;88(5):052721. doi: 10.1103/PhysRevE.88.052721. Epub 2013 Nov 26.

DOI:10.1103/PhysRevE.88.052721
PMID:24329310
Abstract

The recent idea of logical stochastic resonance is verified in synthetic gene networks induced by non-Gaussian noise. We realize the switching between two kinds of logic gates under optimal moderate noise intensity by varying two different tunable parameters in a single gene network. Furthermore, in order to obtain more logic operations, thus providing additional information processing capacity, we obtain in a two-dimensional toggle switch model two complementary logic gates and realize the transformation between two logic gates via the methods of changing different parameters. These simulated results contribute to improve the computational power and functionality of the networks.

摘要

逻辑随机共振的最新概念在由非高斯噪声诱导的合成基因网络中得到了验证。我们通过在单个基因网络中改变两个不同的可调参数,在最佳适度噪声强度下实现了两种逻辑门之间的切换。此外,为了获得更多的逻辑运算,从而提供额外的信息处理能力,我们在二维触发开关模型中获得了两个互补的逻辑门,并通过改变不同参数的方法实现了两个逻辑门之间的转换。这些模拟结果有助于提高网络的计算能力和功能。

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