Analysis of neuronal dendrite patterns using eigenvalues of graph Laplacians
(with E. Woei), Japan SIAM Letters, vol.1, pp.13-16, 2009. Invited Paper.
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.
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Get the official version via doi:10.14495/jsiaml.1.13.
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