Neuron Clustering

Attempted to identify different neuronal populations in the mouse hypothalamus using unsupervised learning. Created 3D models of imaged neurons and extracted morphological parameters to use as input to the clustering algorithm. Electrophysiological parameters were also extracted via patch clamping. Hierarchical clustering was used with the gap statistic, and the model was evaluated with the silhouette score.