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2008 Second International Conference on Future Generation Communication and Networking
Neuronal Spike Sorting Based on 2-Stage RBF Networks
December 13-December 15
ISBN: 978-0-7695-3431-2
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 -10dBto -40dB. 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.
Index Terms:
Spike sorting, Neural action potential, RBF
Citation:
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian Zhang, Yi Yu, Xiaoxiang Zheng, "Neuronal Spike Sorting Based on 2-Stage RBF Networks," fgcn, vol. 3, pp.47-50, 2008 Second International Conference on Future Generation Communication and Networking, 2008
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