在布尔网络中在噪声下吸引器转换的动力学
Byungjoon Min1,2,3, Jeehye Choi2, Reinhard Laubenbacher3
1Department of Physics, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea.
Chaos (Woodbury, N.Y.)
|February 23, 2026
概括
噪音通过引起吸引物之间的过渡而影响生物系统. 当地噪音创造了结构化的模式,增强了稳定性和多样性,与依赖盆地大小的全球噪音不同.
科学领域:
- 复杂系统生物学 复杂系统生物学
- 计算神经科学是一种计算神经科学.
- 网络动态 网络动态
背景情况:
- 生物系统本质上是杂的,影响它们的动态和状态过渡.
- 吸引子代表生物网络中的稳定状态,但噪音可以破坏它们.
研究的目的:
- 调查局部和全球噪声如何影响布尔网络中的吸引力动态.
- 开发用于量化吸引力属性的方法,如支配性,稳定性和多样性.
主要方法:
- 在随机扰动下分析布尔网络.
- 计算网络吸引子之间的过渡概率.
- 地方与全球噪声对吸引力景观的影响的比较.
主要成果:
- 全球噪声导致吸引器行为主要由盆地大小决定.
- 局部噪音诱导结构化的过渡模式,增强吸引力的稳定性和多样性.
- 在局部噪音下出现了非微不足道的统治模式,揭示了复杂的网络反应.
结论:
- 噪音诱导的转变对于理解生物系统动态至关重要.
- 当地噪音对吸引物具有比全球噪音更为细致的影响.
- 吸引器过渡模式是探索在随机条件下的网络行为的关键.
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