**Name:**

hh_cond_exp_traub - Hodgkin-Huxley model for Brette et al (2007) review

**Description:**

hh_cond_exp_traub is an implementation of a modified Hodgkin-Huxley model

This model was specifically developed for a major review of simulators [1],

based on a model of hippocampal pyramidal cells by Traub and Miles[2].

The key differences between the current model and the model in [2] are:

- This model is a point neuron, not a compartmental model.

- This model includes only I_Na and I_K, with simpler I_K dynamics than

in [2], so it has only three instead of eight gating variables;

in particular, all Ca dynamics have been removed.

- Incoming spikes induce an instantaneous conductance change followed by

exponential decay instead of activation over time.

This model is primarily provided as reference implementation for hh_coba

example of the Brette et al (2007) review. Default parameter values are chosen

to match those used with NEST 1.9.10 when preparing data for [1]. Code for all

simulators covered is available from ModelDB [3].

Note:

In this model, a spike is emitted if

V_m >= V_T + 30 mV and V_m has fallen during the current time step

To avoid that this leads to multiple spikes during the falling flank of a

spike, it is essential to chose a sufficiently long refractory period.

Traub and Miles used t_ref = 3 ms [2, p 118], while we used t_ref = 2 ms

in [2].

**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 (see Note).

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:**

[1] Brette R et al (2007) Simulation of networks of spiking neurons: A review

of tools and strategies. J Comp Neurosci 23:349-98.

doi 10.1007/s10827-007-0038-6

[2] Traub RD and Miles R (1991) Neuronal Networks of the Hippocampus.

Cambridge University Press, Cambridge UK.

[3] http://modeldb.yale.edu/83319

**Author:**

Schrader

**SeeAlso:**

**Source:**

/home/graber/work-nest/nest-git/nest-simulator/models/hh_cond_exp_traub.h