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 \(V_m \geq V_T + 30\) mV and \(V_m\) has fallen during the current time step.

To avoid multiple spikes from occurring during the falling flank of a spike, it is essential to choose 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].

For further details on asynchronicity in spike and firing events with Hodgkin Huxley models see here.

Parameters

The following parameters can be set in the status dictionary.

V_m	mV	Membrane potential
V_T	mV	Voltage offset that controls dynamics. For default parameters, V_T = -63mV results in a threshold around -50mV.
E_L	mV	Leak reversal potential
C_m	pF	Capacity of the membrane
g_L	nS	Leak conductance
tau_syn_ex	ms	Time constant of the excitatory synaptic exponential function
tau_syn_in	ms	Time constant of the inhibitory synaptic exponential function
t_ref	ms	Duration of refractory period (see Note).
E_ex	mV	Excitatory synaptic reversal potential
E_in	mV	Inhibitory synaptic reversal potential
E_Na	mV	Sodium reversal potential
g_Na	nS	Sodium peak conductance
E_K	mV	Potassium reversal potential
g_K	nS	Potassium peak conductance
I_e	pA	External input current

References

[1] (1,2)

Brette R et al. (2007). Simulation of networks of spiking neurons: A review of tools and strategies. Journal of Computational Neuroscience 23:349-98. DOI: https://doi.org/10.1007/s10827-007-0038-6

[2] (1,2,3,4,5)

Traub RD and Miles R (1991). Neuronal networks of the hippocampus. Cambridge University Press, Cambridge UK.

[3]

http://modeldb.yale.edu/83319

Sends

SpikeEvent

Receives

SpikeEvent, CurrentEvent, DataLoggingRequest

See also

Neuron, Hodgkin-Huxley, Conductance-Based

Examples using this model

None