Neuronal Spike Sorting in Primary Visual Cortex Based on Matched Wavelet Transform
Niu Xiao-ke · Journal of Zhengzhou University · 2011
Sorting of neuronal spike is the key to research information processing mechanism of nervous system.To improve sorting effect,matched wavelet is applied and neuronal spike sorting in primary visual cortex based on matched wavelet transform is introduced.Firstly,matched wavelet is constructed according to character of spike signals and match criterion.Then matched wavelet transform is used to extract features of spike signals and clustering of spike signals is carried out.Sorting of spike signals is realized.The method proposed is applied to analyze neuronal spike signals of rat in the primary visual cortex,sampled by multi-electrode array.Compared with sorting method based on classical wavelet,scatter plot generated by new method has two clearer clustering centers.Clustering effect is better.When noise is added,correct rate of new sorting method has remained high under low signal noise ratio.New method has strong noise resistance.