基于神经元的结构特征,运用一种新创方法——“逐层球面切片法”提取神经元的生长形态信息(下称球面信息),在此基础上选用相关系数作为衡量神经元形态相似性的指标,并以此为依据对神经元的形态进行分类.发现分类结果与基于球面信息的三次样条曲线的相似性是一致的. Based on the structural characteristics of neurons, we use a new method - “layer-by-layer spherical slicing method” to extract the growth morphological information of neurons (hereinafter referred to as spherical information), and then use the correlation coefficient as a measure of neuronal morphology Similarity index, and based on which the morphological classification of neurons was carried out.It is found that the similarity between the classification result and the cubic spline curve based on spherical information is consistent.