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Gaussian Mixture Model (GMM) clustering results
(A) Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC) scores to determine the optimal number of clusters.
(B) Scatter plot of the neurons based on their first two principal components (PC1 and PC2) and color-coded clusters (each color represents a cluster).
(C) Distribution of different cluster assignments found by GMM.
