Dear all,
I am currently using the Reduced Wong Wang model in my analysis, in which I explore a space of parameters combination in order to fit the model simulations to empirical rsFMRI data. This parameters exploration has been done so far at the global level, i.e., the parameters are applied for all the brain regions (in other words, I am sending a single value for the parameters on the function).
Is it possible to explore the parameters at the region level, e.g., by sending a vector of values to the function with a size equal to the number of regions?
If that is not possible using the Reduced Wong Wang model, are there any models on TVB that would allow me to fit the model parameters region-wise?
Thank you very much for your help!
Kind regards,
Pedro