Table 1 Stochastic synapse model and parameters. (S) for single-synapse model; (M) for memorymodel calculations, where different

Static

$P_{\mathrm{rel}}(t)=p_0$

Facilitating

$P_{\mathrm{rel}}(t)=p_{0}F(t)$, where between spikes: ${\tau }_F\frac{dF}{dt}=(1-F)$ and immediately following each spike:$F^{+}=F^{-}+f_F(\frac{1}{p_0}-F^{-})$

Depressing

$P_{\mathrm{rel}}(t)=p_{0}V$, whereP(V = 1)=D(t);P(V = 0)=1 − D(t).Between spikes: ${\tau }_D\frac{dD}{dt}=(1-D)$ and immediately following successful release,$D^{+}=0$, while immediately following unsuccessful release,$D^{+}=D^{-}$

All

Following successful release: $s^{+}=s^{-}+\tilde{\alpha }(1-s^{-})$

Between successful releases: ${\tau }_s\frac{ds}{dt}=-s$

Static

–

0.5 (S)

–

100 ms

1 − exp(−0.25)

0.5 (M)

Facilitating

${\tau }_F=500\mathrm{ms}$

0.1 (S)

$f_F=0.5$ (S)

100 ms

1 − exp(−0.25)

0.25 (M)

$f_F=0.25$ (M)

Depressing

${\tau }_D=250\mathrm{ms}$

0.5

–

100 ms

1 − exp(−0.25)