Neuronal Spike Sorting Based on 2-Stage RBF Networks

Author

Dai, Jianhua ; Liu, Xiaochun ; Zhang, Shaomin ; Zhang, Huaijian ; Yi Yu ; Zheng, Xiaoxiang

Author_Institution

Qiushi Acad. for Adv. Studies, Zhejiang Univ., Hangzhou, China

Volume

3

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

47

Lastpage

50

Abstract

In this paper, 2-stage Radial Basis Function (RBF) network method is used for neural spike sorting. Firstly, raw signals are obtained from neural signal simulator, and added white noise ranged from -10 dB to -40 dB. Secondly, spikes are detected out with matched filter from signals. Lastly, 2-stage RBF networks are constructed and the spikes are sorted using RBF networks. The experiments show that 2-stage RBF network is an effective tool for neural spike sorting.

Keywords

bioelectric potentials; matched filters; medical computing; neurophysiology; radial basis function networks; matched filter; neural action potentials; neural signal simulator; neuronal spike sorting; radial basis function network method; two-stage RBF networks; white noise; Biomedical engineering; Computer science; Computer science education; Educational institutions; Educational technology; Instruments; Laboratories; Neurons; Radial basis function networks; Sorting; Neural action potential; RBF; Spike sorting;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on

Conference_Location

Hainan Island

Print_ISBN

978-0-7695-3431-2

Type

conf

DOI

10.1109/FGCN.2008.183

Filename

4734277