Neuronal Spike Sorting Based on 2-Stage RBF Networks

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.