Congrats! You have finished the tutorial!
Hopefully, now, you have a better understanding of how large-scale models of brain dynamics can be constructed, part by part, and how we can use them to represent human brain activity.
Of course, what you learned here today is just a basic platform on top of which you can build better models. In fact, to ensure that our model accurately represents relevant features of brain activity, we would have to vary some of its parameters, such as the global coupling (c) and Noise, and see how the simulated signals or connectivity fit to empirical data.
In addition, there are a number of enhancements we can apply to such models to improve their ability to represent empirical data, such as conduction delays, local excitatory-inhibitory homeostasis, and heterogeneity in excitability.
Nonetheless, I hope this tutorial has given you the tools to start diving into the amazing and growing world of large-scale modeling!