Sciweavers

Share
FGCN
2008
IEEE

Experimental Study on Neuronal Spike Sorting Methods

9 years 22 days ago
Experimental Study on Neuronal Spike Sorting Methods
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.
Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang,
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where FGCN
Authors Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang, Jingjing Wang, Shaomin Zhang, Xiaoxiang Zheng
Comments (0)
books