When I am reading the paper "A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons" by Dr. Stefanescu and Dr. Jirsa in 2008, I have some difficulties understanding the contour map of the mean-field amplitude. What's the meaning of the '0.2, 0.4, 0.6, 1.2 ...' numbers in the graph? Is it the I (current)? Also, in this graph, it looks like n=0.3 (n=k12/k11) is a fixed ratio, so how to understand the double y-axis on the left (K12 and K11)? Could we say, with the increase of the mu (dispersion, the x-axis), the K11 and K12 are increasing simultaneously? Or, is the K12 should be the third dimension in this graph?
Besides, in practical TVB simulation, when we used the SJ3D model as the local model to simulate raw recording, there is an option to see if I want to choose mode 0 1 2... I am thinking if the mode is corresponding to a different n (ration of k12/k11) here. About the state variables, I understand the xi, eta, tau and alpha, beta, gamma as the dynamics of subpopulations (first three for excitatory and last three for inhibitory). And the xi and alpha are to calculate the neuron potentials and eta, tau, beta, and gamma are to calculate the transport of the ion. Am I right on this point?
Thank you so much! Please bear with me if I asked really dumb questions...