stepheweffie / annarchy

ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.

ANNarchy

ANNarchy (Artificial Neural Networks architect) is a parallel and hybrid simulator for distributed rate-coded or spiking neural networks. The core of the library is written in C++ and distributed using openMP or CUDA. It provides an interface in Python for the definition of the networks. It is released under the GNU GPL v2 or later.

The source code is available at:

https://github.com/ANNarchy/ANNarchy

The documentation is available online at:

https://annarchy.github.io/

A forum for discussion is set at:

https://groups.google.com/forum/#!forum/annarchy

Bug reports should be done through the Issue Tracker of ANNarchy on Github.

Citation

If you use ANNarchy for your research, we would appreciate if you cite the following paper:

Vitay J, Dinkelbach HÜ and Hamker FH (2015). ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers in Neuroinformatics 9:19. doi:10.3389/fninf.2015.00019

Authors

• Julien Vitay ([email protected]).
• Helge Ülo Dinkelbach ([email protected]).
• Fred Hamker ([email protected]).

Installation

Using pip, you can install the latest stable release:

pip install ANNarchy

Platforms

• GNU/Linux
• MacOS X

Dependencies

• g++ >= 6.1 ( >= 7.4 recommended ) or clang++ >= 3.4
• python >= 3.7 with development files
• cython >= 0.20
• setuptools >= 40.0
• numpy >= 1.13
• sympy >= 1.6
• scipy >= 0.19

Recommended:

• matplotlib
• lxml
• PyQtGraph
• pandoc
• tensorboardX