Self-organised criticality models

Complex biological systems are considered to be controlled using feedback mechanisms. Reduced systems modelling has been effective to describe these mechanisms, but this approach does not sufficiently encompass the required complexity that is needed to understand how localised control in a biological system can provide global stable states. Self-Organised Criticality (SOC) is a characteristic property of locally interacting physical systems, which readily emerges from changes to its dynamic state due to small nonlinear perturbations. These small changes in the local states, or in local interactions, can greatly affect the total system state of critical systems. It has long been conjectured that SOC is cardinal to biological systems, that show similar critical dynamics, and also may exhibit near power-law relations. Rate Control of Chaos (RCC) provides a suitable robust mechanism to generate SOC systems, which operates at the edge of chaos. The bio-inspired RCC method requires only local...

复杂生物系统被认为通过反馈机制实现调控。简化系统建模曾有效描述了这类调控机制，但该方法无法充分涵盖理解生物系统局部控制如何产生全局稳定态所需的复杂特性。自组织临界性（Self-Organised Criticality, SOC）是局部交互物理系统的固有属性，这类系统的动态状态极易因小型非线性扰动发生改变。局部状态或局部交互中的微小变化，可对临界系统的整体系统状态产生显著影响。长期以来，学界推测SOC是生物系统的核心特性：生物系统不仅展现出类似的临界动力学行为，还可能呈现近似幂律关系。混沌速率控制（Rate Control of Chaos, RCC）提供了一种适用于生成SOC系统的鲁棒机制，该机制运行于混沌边缘，且这种受生物启发的RCC方法仅需局部...