lsnm v1.5.0

• The lsnm code has been ported to Python 3, tested using Python 3.8.12

lsnm v1.0.2

• Renamed the main script to lsnm
• Modified script to avoid having to invoke Python directly when running the script.
• Re-tested the demo provided using Python 2.7.3
• Expanded documentation on how to download / install / test lsnm

LSNM command line

I fixed a bug related to the invocation of TVB's Wilson-Cowan model. The defaults changed in TVB from collecting [E, I] to collecting only [E] electrical neuronal activity. LSNM had to be adjusted (one-line change) to collect both E and I neuronal activity.

Large-Scale Neural Modeling (LSNM) Simulator, command-line

This is the first release of command-line version of the Large-Scale Neural Modeling (LSNM) simulator.

The following syntax should be used:

python lsnm.py -m model.txt -w weightslist.txt -s script.py -l lsnm_tvb_link.txt

• lsnm.py is the python script that runs the simulation.
• weightlist.txt contains a list of individual *.w weight files (all should be included in working directory).
• script.py is the script of simulation describing all events in the simulated experiment.
• lsnm_tvb_link.txt is an optional parameter that describes how the LSNM model is embedded into a Virtual Brain (TVB) connectome.

The output is a large number of *.out files in text format that contain time-series of simulated neural and synaptic activity. They are all saved as output files.