Spike Sorting of Multielectrode Arrays Based on Radial Basis Function Neural Network
Hailong Liu · Journal of Biomedical Engineering Research · 2006
A new method was proposed to sort neural spikes using radial basis function manual neural network.Spikes of raw data were detected,and presorted by principle components analysis,the spikes which had the smaller square error to the center of these sorts were selected as the train set of radial basis function neural network.The manual neural network was trained and then identified the spikes of different sorts.Simulation results showed that the radial basis function neural network performed more efficiently than that of the principle components analysis cluster and the shape parameter cluster in the simulation data.And this method also perform well on the hippocampal neural network electrophysiology with extracellular recording in vitro from multielectrode arrays.