Computational and circuit mechanisms underlying motor control

了解神经系统用来控制运动的机制对于 了解大脑和行为，以及神经科学的基本问题之一。的 运动的控制来自于不同的运动控制中心的活动，这些活动集中在 输出系统，主要位于脊髓。而脊髓神经回路的基础不同 电动机控制的各个方面已经被相对较好地表征，这些电路被 脊髓上运动控制中心的协调仍然是难以捉摸的。在这个项目中，我们的目标是 了解电机控制中心之间连接的功能和计算逻辑， 运动皮层、脊髓和肌肉。我们将从解剖学和功能上描述 皮质脊髓神经元投射特异性群体在特定运动模式中的作用 控制因为即使是最简单的运动程序也需要激活许多神经元 在多个大脑区域的人群中，我们还将研究其他皮质和 皮质下区域到大脑到脊髓的输出，以及肌肉活动。这 理解还需要提取大脑区域之间的信息 和神经元细胞类型，并理解在电路中操作的计算， 来实现特定的肌肉激活模式。我们将 提取计算原理， 啮齿类动物之间保守的大脑活动和肌肉活动之间的关系， ，并将构建预测模型。为了 为了实现对运动控制背后的大脑回路的机械理解，我们将 使用闭环光遗传学方法剖析特定神经群体中活动的贡献 操纵我们正在寻求的理解水平需要一个动态的来回 解剖和功能映射实验，计算和概念模型， 和预测的因果检验。我们组建了一个多学科的PI团队， 网络，分享最新的技术来测量和操纵大脑通过一个先进的 成像和仪器核心，根据生成的数据创建和完善电路模型， 可测试的预测，并在团队成员之间建立实时知识交流 通过数据科学核心我们的U19BCP电机控制团队提出了一个全面的， 一个雄心勃勃的项目，以建立计算和电路机制的基础上的经典模式 基于大脑和脊髓之间细胞类型特异性连接的运动控制， 测量和操纵功能和遗传定义的神经群体的技术，以及 最先进的计算工具 灵长 运动控制期间的多区域动态

Understanding the mechanisms that the nervous system uses to control movement is critical for understanding brain and behavior, and one of the fundamental questions in neuroscience. The control of movement emerges from the activity of different motor control centers, that converge onto output systems, mostly located in the spinal cord. While the spinal circuits that underlie different aspects of motor control have been relatively well characterized, the way by which these circuits are coordinated by supraspinal motor control centers remains elusive. In this project, we aim to understand the functional and computational logic of connectivity between a motor control centers, the motor cortex, and the spinal cord and muscle. We will anatomically and functionally characterize the role of projection-specific populations of corticospinal neurons during particular modes of motor control. Because even the simplest motor program requires the activation of many neuronal populations across multiple brain areas, we will also investigate the contribution of other cortical and subcortical areas to the output of the brain to the spinal cord, and to muscle activity. This understanding requires It also requires extracting the information that is carried between brain areas and neuronal cell types, and understanding the computations that are operated in the circuits in order to achieve specific patterns of muscle activation. We will extract computational principles governing the relation between brain activity and muscle activity that are conserved between rodents and , and will construct predictive models of . In order to achieve a mechanistic understanding of the brain circuits underlying motor control, we will dissect the contributions of activity in specific neural populations using closed-loop optogenetic manipulations. The level of understanding that we are seeking requires a dynamic back and forth between anatomical and functional mapping experiments, computational and conceptual models, and causal testing of predictions. We put together a a multidisciplinary team of PIs working in a tight network, sharing the latest technologies to measure and manipulate the brain through an Advanced Imaging and Instrumentation core, creating and refining circuit models based on data that generate testable predictions, and establishing real-time knowledge exchange between team members through a Data Science Core. Our U19BCP Motor Control team proposes a comprehensive and ambitious project to establish the computational and circuit mechanisms underlying classical modes of motor control based on cell-type specific connectivity between brain and spinal cord, novel technology to measure and manipulate functionally and genetically-defined neural populations, and state-of-the-art computational tools. primates multi-area dynamics during motor control