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# Arbor Library

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](http://arbor.readthedocs.io/en/latest/).

[Submit a ticket](https://github.com/arbor-sim/arbor) if you have any questions or want help.

### Citing Arbor

The Arbor software can be cited via Zenodo: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1459678.svg)](https://doi.org/10.5281/zenodo.1459678).

Previous versions of Arbor can be cited specifically:
* Version 0.2: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2583709.svg)](https://doi.org/10.5281/zenodo.2583709)
* Version 0.1: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1459679.svg)](https://doi.org/10.5281/zenodo.1459679)

The following BibTeX entry 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](https://ieeexplore.ieee.org/abstract/document/8671560), and a preprint is available at [arXiv](https://arxiv.org/abs/1901.07454).