Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Phys Rev Lett. 2011 Jun 3;106(22):228101. doi: 10.1103/PhysRevLett.106.228101. Epub 2011 Jun 2.
The biological function of noise-induced symmetry breaking (NISB) is still unclear even though it may potentially occur in noisy intracellular systems. In this work, I demonstrate that information decoding from a noisy signal is a potential biological function of NISB by revealing that NISB naturally emerges from an optimal information-decoding dynamics and that several intracellular networks can be identified with the information-decoding dynamics. I also propose a mean first passage time profile as a way to experimentally identify NISB.
尽管噪声诱导对称破缺（NISB）可能发生在嘈杂的细胞内系统中，但它的生物学功能仍不清楚。在这项工作中，我通过揭示 NISB 自然从最优信息解码动力学中出现，并且可以利用信息解码动力学来识别几个细胞内网络，证明了从噪声信号中解码信息是 NISB 的一种潜在生物学功能。我还提出了平均首通时间分布作为一种实验识别 NISB 的方法。
