Earticle

초록

영어

When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referred to as spike sorting or action potential sorting. Sorting of neuronal spikes plays a very important role in coding of neural information, which is a prerequisite for studying the brain function. In this paper, five major action potential classification methods including Template Matching, Wavelet Transform, Principal Component Analysis, Back-Propagation (BP) Neural Network, Two-stage Radius Basis Function Network are studied. Under the conditions of different levels of background noise, the performances of these methods are tested. This work may be helpful to choose classification method.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1. Second-order headings
  2.2. Template Matching
  2.3. Wavelet Transform
  2.4. Principal Component Analysis
  2.5. K-means Cluster
  2.6. Back-Propagation (BP) Neural Network
  2.7. Two-stage Radius Basis Function Network
 3. Experiment Design
 4. Results
 5. Discussion
 6. Conclusion
 References

저자

• Jianhua Dai [ Qiushi Academy for Advanced Studies, Zhejiang University, College of Biomedical Engineering and Instrument Science, Zhejiang University ]
• Xiaochun Liu [ Qiushi Academy for Advanced Studies, Zhejiang University, College of Computer Science and Technology, Zhejiang University ]
• Huaijian Zhang [ Qiushi Academy for Advanced Studies, Zhejiang University, College of Biomedical Engineering and Instrument Science, Zhejiang University, Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University ]
• Yu Yi [ Qiushi Academy for Advanced Studies, Zhejiang University, College of Biomedical Engineering and Instrument Science, Zhejiang University, Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University ]
• Jingjing Wang [ Qiushi Academy for Advanced Studies, Zhejiang University, College of Biomedical Engineering and Instrument Science, Zhejiang University, Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605