I_syn_exc = G_EXC * ( V_M - E_ex )

I_syn_inh = G_INH * ( V_M - E_in )

I_leak = g_L * ( V_M - E_L )

dV_m/dt = ( -I_leak - I_syn_exc - I_syn_inh + I_ext ) / C_m;

G_EXC(t) = const * t * exp( - t / tau_syn_exc )

where the constant is chosen so that G_EXC(tau_syn_exc) == 1

and correspondingly for inhibitory input.

Best,

Hans Ekkehard

On 17 Sep 2019, at 13:15, vergani.aa@gmail.com wrote:

Dear experts,

do you have any suggestions where could I find the explicit model for the IF COND EXP neuron?
I mean the mathematical formulation of the model.

Thanks
Alberto
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Prof. Dr. Hans Ekkehard Plesser

Head, Data Science Section

Faculty of Science and Technology

Norwegian University of Life Sciences
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