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Neuronal Spike Sorting Based on 2-Stage RBF Networks

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6 Author(s)
Jianhua Dai ; Qiushi Acad. for Adv. Studies, Zhejiang Univ., Hangzhou, China ; Xiaochun Liu ; Shaomin Zhang ; Huaijian Zhang
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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.

Published in:

Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on  (Volume:3 )

Date of Conference:

13-15 Dec. 2008