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SHAPED Dendritic Morphology Generation

What is being modeled?
Dendritic morphology
Description & purpose of resource

This project measures statistical properties from sets of digital reconstructions of dendritic morphologies. It then stochastically generates new morphologies based on the measured statistical distributions. The key innovation of this tool's approach is to estimate the change in branching rate as a function of distance from soma by modeling branching rate as a heterogeneous Poisson process. A point process filter is used to estimate the branching rate. The uploaded example includes a data set for measuring the the morphology of dentate granule cells and generating new granule cells.

Spatial scales
This resource is currently
a demonstration or a framework to be built upon (perhaps with a sample implementation)
Has this resource been validated?
Key publications (e.g. describing or using resource)

Chou, Z. Z., Yu, G. J., & Berger, T. W. (2020). Generation of Granule Cell Dendritic Morphologies by Estimating the Spatial Heterogeneity of Dendritic Branching. Frontiers in Computational Neuroscience, 14.

Theodore W. Berger
PI contact information
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