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Arbor

Arbor is a high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, from single cell models to very large networks. Arbor is written from the ground up to help neuroscientists effectively use contemporary and future HPC systems.

11
contributors

Cite this software

DOI:

10.5281/zenodo.1459678

What Arbor can do for you

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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 docs.arbor-sim.org.

Submit a ticket or join Gitter or Matrix if you have any questions or need help.

Citing Arbor

The Arbor introductory paper and entry on Zenodo can be cited, see CITATION.bib. Please refer to our documentation for more information.

Logo of Arbor
Keywords
GPU
High performance computing
Neural network
neurophysiology
neuroscience
Simulation
Supercomputing
Programming languages
  • C++ 74%
  • AGS Script 16%
  • Python 5%
  • CMake 2%
  • Cuda 1%
  • NMODL 1%
  • Other 1%
License
  • BSD-3-Clause
</>Source code
Packages
git
pypi.org

Participating organisations

Forschungszentrum Jülich
ETH Zurich

Contributors

BH
Brent Huisman
TH
Thorsten Hater
BC
Benjamin Cumming
NAA
Nora Abi Akar
SY
Stuart Yates
AP
Alexander Peyser
FB
Fabian Bösch
AK
Anne Küsters
SF
Simon Frasch
LD
Lukas Drescher
WK
Wouter Klijn