PROJECT IV

这是一个顶级的项目，重点是了解组织的功能循环， 组织水平和将神经递质（即药物）应用于环拓扑结构的结果。但我们 在此阶段，我将不试图在本项目中获得分子或细胞描述。相反，重点将 将本项目的结果与项目1-3进行比较，以了解 外源性药物如何重新配置细胞间网络中的环路组织， 在细胞内。 就像蛋白质和其他信号成分形成调节信息的细胞内网络一样 流动，细胞形成网络，相互沟通，以协调的方式发挥作用，并调节 信息流事实上，所有的组织和器官都可以被适当地认为是神经网络。 允许信息传播的通信单元，以便实现稳定性以及统一 功能协调发展的网络生物学的核心问题之一是理解网络的可扩展性。 组织原则。关于跨域可伸缩性的问题很复杂，而且通常不 直接分析。然而，由于正在研究的系统的性质和 由于参与调查者的专业知识，可以直接询问一些组织机构是否 在细胞内信号网络中发现的原理也可以在细胞网络中发现。实验 系统和方法论是非常不同的，当然，所以乍一看，整个系统在这两个 不同的尺度可能彼此之间几乎没有相似之处。然而，在数学上， 抽象度量信息传播的功能数据，并检查 两个层面的网络。我们正是本着这种逻辑选择了这一制度。在这个神经元网络中， 哺乳动物丘脑背侧LGN，我们将研究内在的，前馈和 反馈回路决定了大脑中信息处理的动力学。我们特别 将研究LGN神经元之间的回路拓扑结构对神经元数量和种类的影响。 LGN从视网膜传递到视觉皮层的视觉信息。

This is atop level project that focuses on understanding the organizational of functional loops at the tissue level and the consequence of applying neurotransmitters (i.e drugs) to the loop topology. However, we will not in this phase attempt to obtain molecular or cellular descriptions in this project. Rather the focus will be to compare the results from this project with projects 1-3 to understand the similarities and differences in how exogenously administered drugs reconfigure the organization of loops in networks between cells and within cells. Just as proteins and other signaling components form intracellular networks that regulate information flow, cells form networks to communicate with one another to function in a coordinated manner and regulate information flow. Indeed all tissues and organs can be appropriately considered as networks of communicating cells that allow for information propagation so as to achieve stability as well as unified functions. One of the central issues in network biology is the understanding of the scalability of organizational principles. The issues regarding scalability across domains are complex, and often do not lend themselves to direct analysis. However, due to the nature of the systems being studied and the expertise of the participating investigators, it is feasible to ask directly whether some of the organizational principles found in intracellular signaling networks can also be found in networks of cells. The experimental system and the methodologies are very different, of course, so at first glance the overall system at the two different scales may bear little resemblance to one another. However, it is possible to mathematically abstract the functional data that measures information propagation and examine the organization of the network at both levels. It is with this logic that we have chosen this system. In this network of neurons in the dorsal LGN of the mammalian thalamus, we will study the role of intrinsic, feedforward and feedback loops in determining the dynamics of information processing in the brain. Specifically, we will examine the effects of topology of the loops among LGN neurons on the amount and kind of visual information that the LGN transmits from the retina to the visual cortex.