Model overview

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[Vogels et al 2011](http://www.sciencemag.org/content/334/6062/1569.short) provides an extension of the model described in [Vogels and Abbott 2005](http://www.jneurosci.org/content/25/46/10786.short) mainly in order to evaluate the role of inhibitory synapse plasticity in recovering an asynchronous network state after a manifestation of some memory pattern (i.e., highly correlated activity of some neuron group).

A brief video illustrating model features can be found [here](http://lcn.epfl.ch/~vogels/index_movie.html).

Downloading and running a simulation

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To get local clone of this project [Install Git](http://www.opensourcebrain.org/projects/gitintro/wiki/Wiki), go to the directory in which the project will be cloned and type:

    > git clone https://github.com/OpenSourceBrain/VogelsEtAl2011.git

In order to install PyNN see http://neuralensemble.org/trac/PyNN/wiki/Installation. Make sure to use the latest v0.8 version from [GitHub](https://github.com/NeuralEnsemble/PyNN), which includes the required Vogels2011Rule synapse. Note: NEURON is the only supported simulator for this model at the moment.

Go to the PyNN subdirectory:

    > cd VogelsEtAl2011/PyNN

To run a simulation type:

    > python vogelsEtAl2011.py neuron

Version of the project

======================

A Matlab code using the original model implementation can be found [here](http://senselab.med.yale.edu/ModelDB/ShowModel.asp?model=143751).

The project described here is still under development and NEURON is the only supported simulator for this model at the moment.

![](test_fullNetwork_dw100.png)