hh_cond_exp_traub - Hodgin Huxley based model, Traub modified.

hh_cond_exp_traub is an implementation of a modified Hodkin-Huxley model

(1) Post-synaptic currents
Incoming spike events induce a post-synaptic change of conductance modeled
by an exponential function. The exponential function is normalized such that an
event of weight 1.0 results in a peak current of 1 nS.

(2) Spike Detection
Spike detection is done by a combined threshold-and-local-maximum search: if
there is a local maximum above a certain threshold of the membrane potential,
it is considered a spike.

Only the channel variables m,h,n are implemented. The original
contains variables called y,s,r,q and \chi.


The following parameters can be set in the status dictionary.

V_m double - Membrane potential in mV
V_T double - Voltage offset that controls dynamics. For default
parameters, V_T = -63mV results in a threshold around
E_L double - Leak reversal potential in mV.
C_m double - Capacity of the membrane in pF.
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.
t_ref double - Duration of refractory period in ms.
E_ex double - Excitatory synaptic reversal potential in mV.
E_in double - Inhibitory synaptic reversal potential in mV.
E_Na double - Sodium reversal potential in mV.
g_Na double - Sodium peak conductance in nS.
E_K double - Potassium reversal potential in mV.
g_K double - Potassium peak conductance in nS.
I_e double - External input current in pA.

SpikeEvent, CurrentEvent, DataLoggingRequest  



Traub, R.D. and Miles, R. (1991) Neuronal Networks of the Hippocampus.
Cambridge University Press, Cambridge UK.


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