We present an experimental system of networks of coupled non-linear chemical reactors, which we theoretically model within a reaction–diffusion framework. The networks consist of patterned arrays of diffusively coupled nanoliter-scale reactors containing the Belousov–Zhabotinsky (BZ) reaction. Microfluidic fabrication techniques are developed that provide the ability to vary the network topology and the reactor coupling strength and offer the freedom to choose whether an arbitrary reactor is inhibitory or excitatory coupled to its neighbor. This versatile experimental and theoretical framework can be used to create a wide variety of chemical networks. Here we design, construct and characterize chemical networks that achieve the complexity of central pattern generators (CPGs), which are found in the autonomic nervous system of a variety of organisms.

中文翻译：

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具有神经组织特性的工程反应扩散网络†

我们提出了一个耦合非线性化学反应器网络的实验系统，我们从理论上在反应扩散框架内对其进行建模。该网络由包含Belousov–Zhabotinsky（BZ）反应的扩散耦合纳升级反应器的阵列阵列组成。开发了微流体制造技术，该技术提供了改变网络拓扑结构和反应堆耦合强度的能力，并提供了选择任意反应堆是抑制性的还是兴奋性地耦合到其邻域的能力。这种通用的实验和理论框架可用于创建各种化学网络。在这里，我们设计，构造和表征可实现中央模式发生器（CPG）复杂性的化学网络，