Analysis of Neuronal Dendrite Patterns Using Graph Laplacians

Naoki Saito
University of California, Davis (UC Davis)

We will 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.
Also, we will discuss a peculiar localization features of the eigenfunctions corresponding to the large eigenvalues. 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.

Presentation (PDF File)

Back to Laplacian Eigenvalues and Eigenfunctions: Theory, Computation, Application