Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.
An installation guide and library documentation are available online at Read the Docs.
Submit a ticket if you have any questions or want help.
It is possible to cite specific versions of Arbor used to run a simulation via Zenodo:
The following BibTeX can be used to cite Arbor:
@INPROCEEDINGS{
paper:arbor2019,
author={N. A. {Akar} and B. {Cumming} and V. {Karakasis} and A. {Küsters} and W. {Klijn} and A. {Peyser} and S. {Yates}},
booktitle={2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)},
title={{Arbor --- A Morphologically-Detailed Neural Network Simulation Library for Contemporary High-Performance Computing Architectures}},
year={2019}, month={feb}, volume={}, number={},
pages={274--282},
doi={10.1109/EMPDP.2019.8671560},
ISSN={2377-5750}}
Alternative citation formats for the paper can be downloaded here, and a preprint is available at arXiv.