A comparative computer simulation of dendritic morphology.
Computational modeling of neuronal morphology is a powerful tool for understanding developmental processes and structure-function relationships. We present a multifaceted approach based on stochastic sampling of morphological measures from digital reconstructions of real cells. We examined how dendr...
Main Authors: | Duncan E Donohue, Giorgio A Ascoli |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2008-06-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC2376061?pdf=render |
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