Description of benchmark test implementations for the paper
by Versace et al. (2008). KInNeSS: A modular framework for
computational neuroscience, Submitted to Neuroinformatics.
Specifically, this code can be used to simulate in Kinness
either of the following two networks:
1. A network of spiking Hodgkin-Huxley neurons whose topology
follows that used in the 'cobahh' model presented in: Brette
et al. (2007). Simulation of networks of spiking neurons: a
review of tools and strategies. J Comp Neurosci 23:349-98.
2. A network of quadratic Integrate & Fire neurons with the
same network topology as in (1).
The input pattern is stored in 'paperTest0.png'. From the Kinness
GUI, open file 'paperTest.xml' to load this pattern. This can be
done by clicking File/Open...
The network of Hodgkin-Huxley cells is defined in 'paperTestHH.nml'.
The network of quadratic Integrate and Fire cells is defined in
'paperTestQIAF.nml'. Load either network from the Kinness GUI
by clicking Network/Load... The structure of the loaded network is
then easily accessed by clicking Network/Edit...
After loading both input and network files, the simulation can be run
by clicking Simulation/Run...