神经元形态学研究是神经科学中的核心问题，随着分子遗传学的进步和光镜技术的发展，产生具有完整形态结构的单细胞分辨率的哺乳动物全脑投射谱数据成为可能。然而，对单神经元脑网络重构计算技术及分析方法的开发仍十分缺乏。 基于对小鼠皮层第五层和第六层散布于左右半脑primary visual cortex(V1)、primary auditory cortex(A1)、primary motor cortex(M1)、anterior cingulate area(ACA)、posterior parietal cortex(PPC)、anterior lateral motor cortex(ALM)和orbitofrontal cortex(OFC)各七个脑区的一百多个锥体神经元用软件进行重构后的结果，本文利用神经元轴突形态上的差别对神经元进行了分类，对神经元轴突的末端投射靶区进行了统计分析，对如何建立一个数学模型去揭示神经元生长过程中可能满足的物理规律进行了探究。该工作希望能为探寻神经元形态与其功能之间的联系提供线索。

Neuron morphology is an important topic in neurosciences research. The development of molecular genetics，paired with the technological advances of optical microscopy, make it plausible to obtain single-cell resolution whole-brain mammalian projections with the complete structural characterization. However, tools to reconstruct and analyze neuronal network at cellular level are still insufficient. Based on the reconstruction results of hundreds of layer 5/6 pyramidal neurons in seven cortical areas, i.e. primary visual cortex(V1), primary auditory cortex(A1), primary motor cortex(M1), anterior cingulate area(ACA), posterior parietal cortex(PPC), anterior lateral motor cortex(ALM) and orbitofrontal cortex(OFC), in both hemispheres of mouse brain, we distinguished different types of these neurons by their axon morphologies, and we conducted statistical analysis for axon terminal arbors. We explored how to building a mathematical model to reveal probable physical principles in the growth of neurons and hope to provide clues for finding the relationship between neuron morphology and functions.