Meffin H. Burkitt A. N. & Grayden D. B. (2004). An analytical
model for the large fluctuating synaptic conductance state typical of
neocortical neurons in vivo. J. Comput. Neurosci. 16 159-175.
iaf_cond_exp is an implementation of a spiking neuron using IAF dynamics with
conductance-based synapses. Incoming spike events induce a post-synaptic change
of conductance modelled by an exponential function. The exponential function
is normalised such that an event of weight 1.0 results in a peak conductance of 1 nS.
The following parameters can be set in the status dictionary.
V_m double - Membrane potential in mV
E_L double - Leak reversal potential in mV.
C_m double - Capacity of the membrane in pF
t_ref double - Duration of refractory period in ms.
V_th double - Spike threshold in mV.
V_reset double - Reset potential of the membrane in mV.
E_ex double - Excitatory reversal potential in mV.
E_in double - Inhibitory reversal potential in mV.
g_L double - Leak conductance in nS;
tau_syn_ex double - Time constant of the excitatory synaptic exponential function in ms.
tau_syn_in double - Time constant of the inhibitory synaptic exponential function in ms.
I_e double - Constant external input current in pA.