This is the readme for the model associated with the book chapter:

Development of a Computational Approach/Model to Explore NMDA Receptors Functions (2017)

These files model the response of an NMDA receptor kinetic model to a 1ms pulse of glutamate (8 microM) as a function of magnesium concentration.

Content of the zip file: 3 files including this readme.

One file is the NMDA model (XML file). 
The other is a python script used to run the simulation and plot the results. The results plotted correspond to figure 3 of the paper.

Requirements:  Libroadrunner (free open source simulation engine), Python, Numpy and MatplotLib.

To run:  
In a terminal, type:    python KELLER_Book_Chapter_figure3_NMDA_fct_Mg.py

Result corresponding to Fig. 3 of the book chapter will appear in the folder 
after successful run (name: NMDA-R Current (pA)_all_Mg_concentrations.pdf)

For additional details, email jbouteil_at_usc.edu

20180316 A new python script was provided by Jean-Marie C. Bouteiller. The axis are displayed
correctly and it works with the latest version of matplotlib and libroadrunner (1.4.24).