在全球合的高阶网络上,自组织的双稳定性
Md Sayeed Anwar1, Nikita Frolov2, Alexander E Hramov3
1Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India.
Physical review. E
|February 17, 2024
概括
在更高阶网络中,自组织的比位稳定性 (SOB) 能够使系统在状态之间进行过渡. 这项研究揭示了SOB.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 理论物理学的理论物理.
背景情况:
- 自主组织的比位稳定性 (SOB) 描述了接近关键第一阶段过渡的系统,能够通过参数自我调节在状态之间转换.
- 在无尺度网络中,SOB已被观察到作为反复过渡到暂时全球同步的反复过渡.
研究的目的:
- 从理论上将SOB的概念扩展到更高阶网络 (简单复合体).
- 调查合约束对这些复杂结构内的SOB动态的影响.
主要方法:
- 在高阶网络的热力学极限中应用奥特-安东森的维度减小.
- 在合限制下SOB条件的导出.
- 在有限尺寸系统上进行数值模拟以进行验证.
- 对连续同步图和自发同步事件的分析.
主要成果:
- 在合约束下,在高阶网络中对SOB的理论要求得出,与模拟显示良好一致.
- 证明了SOB在启动和终止临时同步事件中的关键作用.
- 观察到,在弱合条件下,这些自发事件与患者的大脑活动具有统计上的相似性.
结论:
- SOB是高阶网络中暂时同步的一个基本机制,即使在合约束下也是如此.
- 理论框架准确地预测了SOB行为及其在新兴动态中的作用.
- 这些发现提供了对复杂系统动态的见解,与性大脑等生物系统有潜在的平行关系.
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