Studying spinal interactions with muscles has been of great importance for over a century. However, with surging spinal-related movement pathologies, the need for computational models to study spinal pathways is increasing. Although spinal cord connectome models have been developed, anatomically relevant spinal neuromotor models are rare. However, building and maintaining such models is time-consuming. In this study, the concept of the rule-based generation of a spinal connectome was introduced and lumbosacral connectome generation was demonstrated as an example. Furthermore, the rule-based autogenerated connectome models were synchronized with lower-limb musculoskeletal models to create an in-silico testbed. Using this setup, the role of the autogenic Ia-excitatory pathway in controlling the ankle angle was tested.

中文翻译：

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基于规则的神经肌肉骨骼肢体计算机脊髓连接组模型自动生成

一个多世纪以来，研究脊柱与肌肉的相互作用一直非常重要。然而，随着与脊柱相关的运动病理学的激增，对研究脊柱通路的计算模型的需求正在增加。尽管已经开发了脊髓连接组模型，但与解剖学相关的脊髓神经运动模型却很少见。但是，构建和维护此类模型非常耗时。在这项研究中，介绍了基于规则生成脊柱连接组的概念，并以腰骶连接组生成为例进行了演示。此外，基于规则的自动生成的连接组模型与下肢肌肉骨骼模型同步，以创建一个电子计算机试验台。使用此设置，测试了自体 Ia 兴奋通路在控制脚踝角度中的作用。