Institute of Neuroinformatics, University of Zürich and ETH Zürich, Winterthurerstr. 190, 8057 Zürich, Switzerland.
Chaos. 2011 Mar;21(1):016112. doi: 10.1063/1.3553643.
Complex noiseless dynamical systems can be represented in a compressed manner by unstable periodic orbits. It is unknown, however, how to use this technique to obtain a suitable notion of similarity among them, how to extend such an approach to more general complex networks, and how to apply such a method in the important case of noisy systems. Our approach provides a solution to these questions. For a proof-of-concept, we consider Drosophila's precopulatory courtship, where our method reveals the existence of a complex grammar (similar to those found in complex physical systems and in language), leading to the conclusion that the observed grammar is very unlikely the product of chance.
复杂的无声动力系统可以通过不稳定的周期轨道以压缩的方式表示。然而,目前还不清楚如何利用这一技术在它们之间获得合适的相似性概念,如何将这种方法扩展到更一般的复杂网络中,以及如何在噪声系统的重要情况下应用这种方法。我们的方法为这些问题提供了一个解决方案。作为一个概念验证,我们考虑了果蝇的求爱前求爱行为,我们的方法揭示了存在一种复杂的语法(类似于在复杂物理系统和语言中发现的语法),从而得出结论,所观察到的语法极不可能是偶然的产物。