A Primal Analysis System of Brain Neurons Data
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 neur...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/348526 |
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| author | Dong-Mei Pu Da-Qi Gao Yu-Bo Yuan |
| author_facet | Dong-Mei Pu Da-Qi Gao Yu-Bo Yuan |
| author_sort | Dong-Mei Pu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cea8c4f806314ffc89dcd16a73c2dcce |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-cea8c4f806314ffc89dcd16a73c2dcce2025-02-03T07:25:54ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/348526348526A Primal Analysis System of Brain Neurons DataDong-Mei Pu0Da-Qi Gao1Yu-Bo Yuan2School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaSchool of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaSchool of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaIt 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.http://dx.doi.org/10.1155/2014/348526 |
| spellingShingle | Dong-Mei Pu Da-Qi Gao Yu-Bo Yuan A Primal Analysis System of Brain Neurons Data The Scientific World Journal |
| title | A Primal Analysis System of Brain Neurons Data |
| title_full | A Primal Analysis System of Brain Neurons Data |
| title_fullStr | A Primal Analysis System of Brain Neurons Data |
| title_full_unstemmed | A Primal Analysis System of Brain Neurons Data |
| title_short | A Primal Analysis System of Brain Neurons Data |
| title_sort | primal analysis system of brain neurons data |
| url | http://dx.doi.org/10.1155/2014/348526 |
| work_keys_str_mv | AT dongmeipu aprimalanalysissystemofbrainneuronsdata AT daqigao aprimalanalysissystemofbrainneuronsdata AT yuboyuan aprimalanalysissystemofbrainneuronsdata AT dongmeipu primalanalysissystemofbrainneuronsdata AT daqigao primalanalysissystemofbrainneuronsdata AT yuboyuan primalanalysissystemofbrainneuronsdata |