- Sümbül U, Song S, McCulloch K, Becker M, Lin B, Sanes JR, Masland RH, Seung HS. A genetic and computational approach to structurally classify neuronal types. Nature communications. 2014 Mar 24;5:3512. link
- Schierwagen A, Villmann T, Alpár A, Gärtner U. Cluster analysis of cortical pyramidal neurons using som. InIAPR Workshop on Artificial Neural Networks in Pattern Recognition 2010 Apr 11 (pp. 120-130). Springer, Berlin, Heidelberg.
- Cuntz H, Forstner F, Borst A, H\äusser M. The TREES Toolbox—Probing the Basis of Axonal and Dendritic Segmenting. Neuroinformatics. 2011;1–6.
- Schierwagen A. Neuronal morphology: Shape characteristics and models. Neurophysiology. 2008;40(4):310–315.
- Uylings HB., van Pelt J. Measures for quantifying dendritic arborizations. Network: Computation in Neural Systems. 2002;13(3):397–414. a good review paper
- Wanner AA, Genoud C, Masudi T, Siksou L, Friedrich RW. Dense EM-based reconstruction of the interglomerular projectome in the zebrafish olfactory bulb. Nature neuroscience. 2016 Jun 1;19(6):816-25. also have clustering methods
- Sato, M., I. Bitter, M. A. Bender, A. E. Kaufman, and M. Nakajima. “TEASAR: Tree-Structure Extraction Algorithm for Accurate and Robust Skeletons.” In Proceedings the Eighth Pacific Conference on Computer Graphics and Applications, 281–449, 2000. doi:10.1109/PCCGA.2000.883951.