Chemistry of Life Processes-Coupled Networks: Chemical and Neural

通过研究一些相对复杂的化学反应， 相对简单的神经网络， 我希望能得到新的见解，如何不同的部分， 网络相互作用产生有节奏的行为。 最终 主要研究者试图解释神经元群 共同产生和调节简单的节奏行为 例如行走、咀嚼或呼吸。 主要研究者建议构建和研究 耦合组件网络的特性，每个组件 能够独立地振荡、振荡或其它 复杂的动力学行为 两类系统将 研究：a）连续流中的无机化学反应 反应器通过质量传递或通过计算机耦合， 输入流的受控浓度依赖性调节;以及 B）生长在下丘脑的甲壳动物口胃神经节的神经元 组织培养和电子控制耦合 人工神经突触和电子连接 通过采用各种不同的组件和变化的 他们之间的联系的性质，主要的 调查人员应能够探讨尚未 答案是对神经网络的研究， 数个简单的相同单位。 这些问题包括：（a） 紧急网络属性之间的关系，这取决于 主要是单元之间的耦合和网络特性 由单个单元的性质产生; B）范围 耦合振荡器可以显示的行为模式 网络; c）耦合的细节如何影响 网络的行为;以及d）延迟耦合在 振荡器网络 拟议的实验研究将得到补充， 正在进行的化学和神经系统的理论工作。 虽然化学系统在机械上得到了更好的理解， 这两类人之间的动态相似性已经很明显， 系统应该有助于两套系统之间富有成效的相互作用 实验，并最终导致一个更清晰的图片， 真实的神经网络的操作，例如在节奏神经网络中发现的那些。 运动系统，或胃神经系统， 特别的。

By studying some relatively complex chemical reactions and a relatively simple neural network, the principal investigators hope to derive new insights into how the different parts of a network interact to produce rhythmic behavior. Ultimately, the principal investigators seek to explain how groups of neurons work together to generate and modulate simple rhythmic behaviors such as walking, chewing or breathing. The principal investigators propose to construct and study the properties of networks of coupled components, each of which is independently capable of oscillatory, bistable or other complex dynamical behavior. Two classes of systems will be investigated: a) inorganic chemical reactions in continuous flow reactors coupled through mass transfer or through computer- controlled concentration-dependent modulation of input flows; and b) neurons of the crustacean stomatogastric ganglion grown in tissue culture and coupled through electronically-controlled artificial synapses and electronic connections. By employing a variety of different components and varying the nature of the connections between them, the principal investigators shall be able to explore questions that have not bee answered by studies of neural networks consisting of large numbers of simple, identical units. Such issues include a) the relationship between emergent network properties, which depend primarily on the coupling between units, and network properties that result from the properties of individual units; b) the range of behavior modes that can be displayed by coupled oscillator networks; c) how the details of the coupling influence the behavior of the network; and d) the role of delayed coupling in oscillator networks. The proposed experimental studies will be supplemented by ongoing theoretical work on both the chemical and neural systems. While the chemical systems are better understood mechanistically, dynamic similarities already apparent between the two classes of systems should make for a fruitful interplay between the two sets of experiments and ultimately lead to a clearer picture of the operation of real neural networks such as those found in rhythmic motor systems in general, or the stomatogastric nervous system in particular.