论文标题
通过相互作用调制对动态序列的强大检索
Robust retrieval of dynamic sequences through interaction modulation
论文作者
论文摘要
许多生物系统通过一系列构型动态重新安排其组件，以执行其功能。已经使用网络模型研究了此类动态过程，该网络模型顺序检索一组存储的模式。顺序检索的先前模型属于一个通用类，其中系统的组件由反馈控制（“输入调制”）。相反，我们引入了一类新的模型，其中反馈修改了组件之间的交互（“交互调制”）。我们表明，交互调制模型不仅能够检索动态序列，而且比输入调制模型更强大。特别是，我们发现对称相互作用的调制可以检索具有不同活动水平的模式，并且具有更大的动态能力。我们的结果表明，相互作用调制可能是显示复杂集体动力学的生物系统的常见原则。
Many biological systems dynamically rearrange their components through a sequence of configurations in order to perform their functions. Such dynamic processes have been studied using network models that sequentially retrieve a set of stored patterns. Previous models of sequential retrieval belong to a general class in which the components of the system are controlled by a feedback ("input modulation"). In contrast, we introduce a new class of models in which the feedback modifies the interactions among the components ("interaction modulation"). We show that interaction modulation models are not only capable of retrieving dynamic sequences, but they do so more robustly than input modulation models. In particular, we find that modulation of symmetric interactions allows retrieval of patterns with different activity levels and has a much larger dynamic capacity. Our results suggest that interaction modulation may be a common principle underlying biological systems that show complex collective dynamics.
