====================
PyGeNN documentation
====================
GeNN is a software package to accelerate Spiking Neural Network simulations on
hardware including NVIDIA GPUs using code generation. 
Networks are described using a simple Python API and the models and snippets 
used to describe the behaviour of the neurons and synapses which make up the networks
are easily customised  using strings containing a C-like language called GeNNCode.

Note, this documentation is under construction. If you cannot find what you are looking for, please contact the project developers.

.. toctree::
    :maxdepth: 4
    :titlesonly:

    installation
    upgrading
    building_networks
    simulating_networks
    custom_models
    bibliography

    tutorials/index
    userproject/index

    Reference documentation <source/pygenn>

GeNN is currently developed and maintained by

`Dr James Knight <http://www.sussex.ac.uk/informatics/people/peoplelists/person/415734>`_ (`contact James <mailto:J.C.Knight@sussex.ac.uk>`_)

`Prof. Thomas Nowotny <http://www.sussex.ac.uk/informatics/people/peoplelists/person/206151>`_ (`contact Thomas <mailto:T.Nowotny@sussex.ac.uk>`_)

The development of GeNN is partially supported by the `EPSRC <http://www.epsrc.ac.uk/>`_ grant numbers:

- `EP/V052241/1 <https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V052241/1>`_ - Unlocking spiking neural networks for machine learning research
- `EP/P006094/1 <https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/P006094/1>`_ - Brains on Board
- `EP/J019690/1 <https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/J019690/1>`_ - Green Brain Project.


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Indices and tables
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* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`