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 ++++++++ hh_psc_alpha Examples using this model +++++++++++++++++++++++++ .. listexamples:: hh_cond_exp_traub