A non-parametric Bayesian approach for clustering and tracking non-stationarities of neural spikes

Using non-parametric kernel density-based clustering that makes no assumptions on the distribution of the clusters enhances the ability of tracking cluster non-stationarity over time with respect to the Gaussian cluster modeling approach.