Analysis of Neuronal Dendrite Patterns Using Eigenvalues of Graph Laplacians

We report our current effort on extracting morphological features from neuronal dendrite patterns using the eigenvalues of their graph Laplacians and clustering neurons using those features into different functional cell types. Our preliminary results indicate the potential usefulness of such eigenvalue-based features, which we hope to replace the morphological features extracted by methods that require extensive human interactions.