Neural Ensemble Decoding of Rat's Motor Cortex by Kalman Filter and Optimal Linear Estimation
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.