The identification and clustering analysis of auditory neurons for salicylated-induced rat model

Kuo Sheng Cheng, Li Hui Chen, Yi Jung Wang

研究成果: Conference contribution

摘要

Salicylate-induced rat model is one of the animal models for tinnitus study. In this study, a radial basis function neural network for automatic identification is firstly developed due to its features of easy training and learning. From the experimental results, the recognition rate is demonstrated to be as high as 98%. Not only the recognition rate is improved, but also it is very objective in analysis. Secondly, a support vector clustering is applied to neurons distribution analysis. Based on the clustering analysis, it is found that the cluster number and distribution area for the Salicylated-induced fos-labeled neurons are very different from those of controlled group.

原文English
主出版物標題Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
頁面6281-6284
頁數4
出版狀態Published - 2005 十二月 1
事件2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
持續時間: 2005 九月 12005 九月 4

出版系列

名字Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
7 VOLS
ISSN(列印)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
國家/地區China
城市Shanghai
期間05-09-0105-09-04

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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