**Name:**

hh_cond_exp_traub - Hodgin Huxley based model, Traub modified.

**Description:**

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.

Problems/Todo:

Only the channel variables m,h,n are implemented. The original

contains variables called y,s,r,q and \chi.

**Parameters:**

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

-50mV.

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.

**Require:**

HAVE_GSL

**Receives:**

SpikeEvent, CurrentEvent, DataLoggingRequest

**Sends:**

SpikeEvent

**References:**

Traub, R.D. and Miles, R. (1991) Neuronal Networks of the Hippocampus.

Cambridge University Press, Cambridge UK.

**Author:**

Schrader

**SeeAlso:**

**Source:**

/home/nest/work/nest-2.14.0/models/hh_cond_exp_traub.h