 
Summary: Instructions
This package of code is meant to calculate correlations via Monte Carlo simulation and linear
response theory for a network of EIF neurons with membrane potentials (mV) evolving according
to
vi(t) = vi(t) + (vi(t)) + E0 +
2i(t) + fi(t).
= Cm/gL (ms) is the membrane time constant, Cm, gL are the membrane capacitance and conduc
tance, E0 (mV) the effective rest potential, (mV) is the noise variance, i(t) is an independently
evolving white noise process, and fi(t) captures synaptic coupling between the neurons. The
function takes the form
(v) = T exp
v  vT
T
where vT (mV) sets the soft threshold of the EIF model, and T (mV) is a spike shape parameter.
The synaptic coupling is, by default, through alphashaped kernels, so that
fi(t) =
j
(Jij yj)(t), where Jij(t) =
