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The Scientific World Journal
Volume 2014 (2014), Article ID 348526, 6 pages
http://dx.doi.org/10.1155/2014/348526
Research Article

A Primal Analysis System of Brain Neurons Data

School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

Received 15 April 2014; Accepted 19 May 2014; Published 24 July 2014

Academic Editor: Shan Zhao

Copyright © 2014 Dong-Mei Pu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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, , , 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.