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arXiv 1906.00787cond-mat.stat-mechcond-mat.softphysics.bio-phq-bio.OT
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临界附近的信息流行为

The behaviour of information flow near criticality

Matthijs Meijers, Sosuke Ito, Pieter Rein ten Wolde

摘要:

最近的实验表明,许多生物系统在临界点附近自组织,这暗示了一个共同的设计原则。虽然已经提出在临界点附近优化信息传输,但是仍然不清楚信息传输如何取决于输入信号的动态、信息需要传输的距离以及到临界点的距离。在这里,我们采用随机模拟的驱动二维伊辛系统和研究的瞬时互信息和信息传输率之间的驱动输入自旋和输出自旋。瞬时互信息随温度非单调变化,但随输入信号的相关时间单调增加。相反,信息传输速率呈现出作为输入相关时间的函数的最大值。此外,存在使该最大信息传输速率最大化的最佳温度。它是在快速响应输入变化以便在单位时间内传输更多信息的必要性与可靠响应的必要性之间进行权衡而产生的。最佳温度位于临界点以上,但随着输入和输出自旋之间的距离增加而向临界点移动。

英文摘要:

Recent experiments have indicated that many biological systems self-organise near their critical point, which hints at a common design principle. While it has been suggested that information transmission is optimized near the critical point, it remains unclear how information transmission depends on the dynamics of the input signal, the distance over which the information needs to be transmitted, and the distance to the critical point. Here we employ stochastic simulations of a driven 2D Ising system and study the instantaneous mutual information and the information transmission rate between a driven input spin and an output spin. The instantaneous mutual information varies non-monotonically with the temperature, but increases monotonically with the correlation time of the input signal. In contrast, the information transmission rate exhibits a maximum as a function of the input correlation time. Moreover, there exists an optimal temperature that maximizes this maximum information transmission rate. It arises from a tradeoff between the necessity to respond fast to changes in the input so that more information per unit amount of time can be transmitted, and the need to respond to reliably. The optimal temperature lies above the critical point, but moves towards it as the distance between the input and output spin is increased.

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