Table 1.

Modelling Examples for Brain Stimulations. Spiking Neurons - SN [75], Fitzhugh-Nagumo - FN [76], Jansen-Ritt - JR [77], Conductance-Based Biophysical Model - CBB [78], Dynamic Mean Field - DMM [79], Wilson-Cowan - WC [50], Stuart-Landau - SL [63], Kuramoto Model - KM [51], Exact Mean Field Model - EMFM [80].

Property affected by perturbation	Model Parameters that can be modulated	Model examples
Firing Rate	Shape of the transfer function from input current to firing rate (i.e., as a function of receptor density such as 5HT2A)	DMM, WC, EMFM, JR
Excitation and Inhibition	Ratio of excitatory and inhibitory neurons	SN, CBB, WC, DMM, EMFM
	Weights of excitation-to-inhibition and recurrent excitation	SN, CBB, WC, EMFM, JR
Local Field Oscillations	Frequency	SN, KM, FN, WC, SL
	Stability, Amplitude, Ratio between noise and oscillations	SN, SL