A Primal Analysis System of Brain Neurons Data
Joint Authors
Yuan, Y.-B.
Pu, Dong-Mei
Gao, Da-Qi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-24
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Pu, Dong-Mei& Gao, Da-Qi& Yuan, Y.-B.. 2014. A Primal Analysis System of Brain Neurons Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049278
Modern Language Association (MLA)
Pu, Dong-Mei…[et al.]. A Primal Analysis System of Brain Neurons Data. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1049278
American Medical Association (AMA)
Pu, Dong-Mei& Gao, Da-Qi& Yuan, Y.-B.. A Primal Analysis System of Brain Neurons Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049278
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049278