A Multi-Scale, High-Fidelity Computational Model of the Mouse Triceps Surae Motor Pool

小鼠腓肠肌运动池的多尺度、高保真计算模型

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Abstract

This study introduces a novel, multi-scale, high- fidelity, computational model of the motoneuron pool innervating the mouse triceps surae muscle group. Designed to represent synaptic, anatomical, cellular, extracellular, and system-level dynamics, the model captures the unique electrical properties of mouse motoneurons. The model was rigorously validated against experimental measurements-including eleven key intracellular electrical properties and extracellular ventral root recordings-using extensive statistical analyses. These evaluations demonstrate that the model's properties closely match in vivo observations, ensuring its accuracy and biological relevance. Consequently, this model serves as a versatile tool for investigating motoneuron behavior and motor unit dynamics in mice, offering valuable insights into neuromuscular function and potential applications in studying motoneurons in healthy and disease conditions.

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