D. Neuron and synapse model
Name	Firing rate model with dynamical synapses
Type	Dynamic leaky integrate-and-fire, exponential conductance input
Input current	$I_j(t)={\displaystyle \sum _i{s}_i(t)W_{i\to j}+I_j^{app}(t)+\sigma \eta (t)}$
Firing rate	${\tau }_r\frac{d{r}_i}{dt}=-r_i(t)+\frac{r_i^{\max }}{\exp \left\{\left[{\Theta }_i-I_i(t)\right]/{\Delta }_i\right\}}$
Depression variable	${\tau }_{Di}\frac{d{D}_i}{dt}=1-D_i(t)+p_0{r}_i(t){\tau }_{Di}{D}_i(t)$
Synaptic transmission	${\tau }_s\frac{d{s}_i}{dt}=-s_i(t)+\tilde{\alpha }{p}_0{r}_i(t){\tau }_s{D}_i(t)\left[1-s_i(t)\right]$