文献类型：期刊文献

英文题名：A Primal Analysis System of Brain Neurons Data

作者：Pu, Dong-Mei[1];Gao, Da-Qi[1];Yuan, Yu-Bo[1]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2014

外文期刊名：SCIENTIFIC WORLD JOURNAL

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000343608100001)】；

基金：This research has been supported by the National Natural Science Foundation under Grant nos. 61272198, 60675027, and 61001200. The work is partly supported by National Nature Science Foundation of China (61001200).

语种：英文

摘要：It is a very challenging work to classify the 86 billions of neurons in the human brain. The most important step is to get the features of these neurons. In this paper, we present a primal system to analyze and extract features from brain neurons. First, we make analysis on the original data of neurons in which one neuron contains six parameters: room type, X, Y, Z coordinate range, total number of leaf nodes, and fuzzy volume of neurons. Then, we extract three important geometry features including rooms type, number of leaf nodes, and fuzzy volume. As application, we employ the feature database to fit the basic procedure of neuron growth. The result shows that the proposed system is effective.