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The Arbor multi-compartment neural network simulation library.

License: BSD 3-Clause "New" or "Revised" License

Python 2.52% CMake 1.33% AMPL 0.87% Shell 0.17% C++ 90.64% Cuda 1.42% Julia 0.33% Perl 0.23% Objective-C 0.87% C 1.48% Dockerfile 0.14%

arbor's Introduction

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.

Submit a ticket if you have any questions or want help.

Citing Arbor

The Arbor software can be cited via Zenodo: .

Previous versions of Arbor can be cited specifically:

Version 0.2:
Version 0.1:

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, and a preprint is available at arXiv.

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