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).
Simulation notes:
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...
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