Set of tools to generate virtual neuronal morphologies (and circuits) according to growth-rules that may be expressed in terms of interactions with the environment. Large assemblies of morphologies can be generated simultaneously while interacting with each other.
Source code on github
Reference: Torben-Nielsen, B., De Schutter, E., Context-aware modeling of neuronal morphologies. Frontiers in neuroanatomy, 8:92. doi: 10.3389/fnana.2014.00092 (here)
Standalone package to analyze and visualize neuronal morphologies in the SWC format. Now a pre-release of v2 is available!
Source-code on github.
Reference: Torben-Nielsen, B., An efficient and extendable Python library to analyze neuronal morphologies. Neuroinformatics 12(4):619-622 (here)