RP2: Connectivity and Circuit Organization

项目摘要：项目2-连接和电路组织 颈髓中的神经回路产生一系列有节奏和灵活的运动行为， 对生命来说是必不可少的。这些电路除了本身很重要外，还充当了一扇进入 大脑其他区域是如何通过提供关键的行为读数来组织功能的，即运动 行动。这个项目中的分析将使用尖端的基因工具和解剖学方法，其中许多 它们是由索尔克研究所开发的，以创建可扩展的交互连接图 颈髓中的运动神经元间回路。此连通性地图将注册到机动车辆池 对特定的前肢肌肉进行神经支配，以便连通性数据集为建模提供信息 以及对运动行为的解释，这些都是这个团队SCC计划的关键组成部分。相交 小鼠遗传学将被用来针对特定的脊髓中间神经元群体并注释关键字 有关位置和连通性的信息，以便生成前肢前桥的物理接线图 马达电路。预电机接线图将作为后续更具扩充性的 分析脊柱的连通性，包括感觉、本体脊髓和下行连接 前肢前运动神经元。这些研究完成后，将提供无与伦比的见解 脊柱马达电路和马达系统作为一个整体的组织。它们还将带来更好的 对细胞相互作用和神经计算的理解，从而产生有节奏和熟练的 前肢动作。

Project Summary: Project 2 – Connectivity and Circuit Organization Neural circuits in the cervical spinal cord generate a range of rhythmic and dexterous motor behaviors that are essential for life. These circuits, aside from being important in their own right, serve as a window into how other brain areas are functionally organized by providing a critical readout of behavior, namely motor action. The analyses in this project will use cutting-edge genetic tools and anatomical approaches, many of which were developed at the Salk Institute, to create a scalable and interactive connectivity map of the pre- motor interneuron circuits in the cervical spinal cord. This connectivity map will be registered to motor pools innervating specific forelimb muscles in order for the connectivity datasets to be informative for the modeling and interpretation of motor behaviors that are key components of this Team SCC initiative. Intersectional mouse genetics will be used to target specific populations of spinal interneurons and annotate key information about position, and connectivity, in order to generate a physical wiring diagram for forelimb pre- motor circuits. The pre-motor wiring diagram will serve as a template for a subsequent more expansive analysis of spinal connectivity that will include sensory, propriospinal, and descending connections to forelimb pre-motor neurons. These studies, when completed, will provide unparalleled insights into the organization of the spinal motor circuitry and the motor system as a whole. They will also lead to a better understanding of the cellular interactions and neural computations that give rise to rhythmic and skilled forelimb movements.