Introduction
============

More details on the Connection Set Algebra can be found [here](http://software.incf.org/software/csa).

Installation of CSA
-------------------

Either install the latest stable version from [here](http://software.incf.org/software/csa/download), or get the latest code with:

svn co http://svn.incf.org/svn/csa
cd csa
sudo python setup.py install

Clone the CSA Showcase project
------------------------------

Get a local copy of this project from OSB with:

git clone https://github.com/OpenSourceBrain/CSAShowcase.git
cd CSAShowcase

Examples
--------

### Basic CSA A simple example

A [simple example](http://www.opensourcebrain.org/projects/csashowcase/repository/revisions/master/entry/CSA/gaussian.py) can be run be run with

cd CSA
python gaussian.py

This should produce a view of the generated network as follows:


### CSA example using PyNN

[Another example](http://www.opensourcebrain.org/projects/csashowcase/repository/revisions/master/entry/CSA/pynn_csa.py) illustrates the interaction of CSA and PyNN. The following code:

<pre>
python pynn\_csa.py nest

</pre>
will generate and run the example on NEST, while this:

<pre>
python pynn\_csa.py neuroml2

</pre>
will generate the network and save the structure in NeuroML 2 format.

For more details on how NeuroML 2 an PyNN work together, see [here](http://www.neuroml.org/pynn.php).