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 :math:`V_m \geq V_T + 30` mV and :math:`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 :math:`t_{ref} = 3` ms ([2]_, p 118), while we used
:math:`t_{ref} = 2` ms in [2]_.
For further details on asynchronicity in spike and firing events with Hodgkin Huxley models
see :ref:`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] 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] 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
++++++++
:doc:`Neuron `, :doc:`Hodgkin-Huxley `, :doc:`Conductance-Based `
Examples using this model
+++++++++++++++++++++++++
.. listexamples:: hh_cond_exp_traub