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 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:

![](Selection_135.png)

### 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).