No, this is not pySCM, the python simple climate model! This is PySCM! Instead of weather we do some neural networks.

PySCM stands for Python Spike Counter Model. It implements a model of associative momeory with spiking neural networks. If you want see some details: It was developed by Andreas Knoblauch and Günther Palm: [1]

If you simply want to run the SCM, there are example files ready. Simply type

./run.py <SIMULATOR> 

where SIMULATOR is the simulator that should be used for execution (see below). The program reads in the json files in data, namely 'neuron_data.json' containing all the information about the neurons, the networks and some options. The second file is the 'optimised_weights.json' file, which contains the synaptic weights of the different populations.

If you want to simulate with your own network data, then you can change it in the 'neuron_data.json'. Since the finding of the weights is a pain, the tool 'find_parameters.py' may help you. It gives you a first idea where your parameters should be. Again you can simply type in:

./find_paramters.py <SIMULATOR> 

In addition, the flag 'Simple_Network' in 'neuron_data.json' allows to switch between the SCM and a simpler model, which contains only one controlling inhibitory neuron.

At the moment, 'spikey' is not supported. Furthermore, other systems could contain a small amount of bugs which reduces the usability of this model. Nevertheless, it works on 'Nest'.

Possible simulators are:

• (spikey)
• nest
• nmmc1
• nmpm1
• ess

This project was established by Christoph Jenzen and Andreas Stöckel at Bielefeld University in the [Cognitronics and Sensor Systems Group] (http://www.ks.cit-ec.uni-bielefeld.de/). This work is part of the Human Brain Project, SP 9.

[1] Andreas Knoblauch, Günther Palm, Pattern separation and synchronization in spiking associative memories and visual areas, Neural Networks, Volume 14, Issues 6–7, 9 July 2001, Pages 763-780, ISSN 0893-6080, http://dx.doi.org/10.1016/S0893-6080(01)00084-3. (http://www.sciencedirect.com/science/article/pii/S0893608001000843)

This project and all its files are licensed under the GPL version 3 unless explicitly stated differently.