RI: Small: An Ensemble of Neuromechanical Models of C. elegans Locomotion

RI：小型：线虫运动神经力学模型的集合

• 批准号: 1524647
• 负责人: Randall Beer
• 金额: $ 49.22万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1524647&HistoricalAwards=false
• 关键词: RI; Small; Ensemble; Neuromechanical; Models

One of the central challenges of neuroscience is understanding how animals operate as integrated wholes, that is, how their neural activity, working in concert with the properties of their bodies and environments, coordinates their behavior. When faced with such a daunting challenge, it makes sense to first study simpler instances of the general problem of interest. In this regard, the nematode worm Caenorhabditis elegans is a uniquely qualified target for investigating the operation of integrated brain-body-environment systems. It is the only animal for which the connectivity of its entire nervous system is known. In fact, the anatomical structure of its entire body has been characterized to the level of individual cells. In addition, its genome has been completely sequenced and its entire developmental lineage has been characterized, from fertilized egg to adult animal. The goal of this project is to draw upon these many resources in order to construct integrated brain-body-environment models of C. elegans locomotion, a behavior that serves as the foundation for all other behaviors that this animal exhibits.Although the entire connectome of C. elegans is known, detailed knowledge of the electrophysiology of its nervous system is far less complete. For this reason, the approach has two components: constrained stochastic optimization and ensemble analysis. The investigators will construct computational models constrained by the known connectivity of the C. elegans ventral cord circuitry, the known layout of its body wall musculature and the partially-known electrophysiological properties of the neurons involved. They will then apply a stochastic optimization technique (evolutionary algorithms) in order to find values of the unknown electrophysiological parameters of this model that maximize a measure of locomotion performance. In general, different optimizations will result in different values for these parameters, all of which are consistent with the known experimental constraints. Thus, the object of study is not an individual model, but rather the entire ensemble of models that result from repeated optimizations. A detailed study of this ensemble will suggest specific new experiments whose results can then be used to further constrain future optimizations. The particular focus of these modeling efforts is on understanding the relative roles that proprioceptive feedback from body stretch receptors and the intrinsic dynamics of ventral cord circuitry play in the generation and propagation of the locomotion pattern.

神经科学的核心挑战之一是理解动物如何作为一个整体运作，也就是说，它们的神经活动如何与它们的身体和环境的特性协同工作，协调它们的行为。面对如此艰巨的挑战，首先研究感兴趣的一般问题的简单实例是有意义的。在这方面，线虫秀丽隐杆线虫是一个独特的合格的目标，调查的运作，综合脑-体-环境系统。它是唯一的动物，其整个神经系统的连接是已知的。事实上，它整个身体的解剖结构已经被描述到单个细胞的水平。此外，它的基因组已被完全测序，其整个发育谱系已被表征，从受精卵到成年动物。本计画的目标是利用这些资源，以建构整合的脑-体-环境模型。线虫的运动是一种行为，这种行为是这种动物表现出的所有其他行为的基础。虽然已知秀丽隐杆线虫，但对其神经系统的电生理学的详细了解远不完整。为此，该方法有两个组成部分：约束随机优化和集成分析。 研究人员将构建由已知的C. elegans腹侧脊髓回路，其体壁肌肉组织的已知布局和所涉及的神经元的部分已知电生理特性。然后，他们将应用随机优化技术（进化算法），以找到该模型的未知电生理参数的值，最大限度地提高运动性能的测量。一般来说，不同的优化将导致这些参数的不同值，所有这些都与已知的实验约束一致。因此，研究的对象不是一个单独的模型，而是从重复优化的结果模型的整个合奏。对该集合的详细研究将提出具体的新实验，其结果可用于进一步约束未来的优化。这些建模工作的特别重点是了解的相对作用，本体感受反馈从身体拉伸受体和腹侧脊髓电路的内在动力学的运动模式的产生和传播中发挥。