sepehrmn / arbor

The Arbor multi-compartment neural network simulation library.

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Arbor Library

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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

It is possible to cite specific versions of Arbor used to run a simulation via Zenodo:

  • Version 0.2: DOI
  • Version 0.1: DOI

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.

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The Arbor multi-compartment neural network simulation library.

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Language:C++ 90.9%Language:Python 2.4%Language:Cuda 1.7%Language:C 1.6%Language:CMake 1.3%Language:Objective-C 0.9%Language:AMPL 0.5%Language:Julia 0.3%Language:Perl 0.2%Language:Shell 0.1%