# Command: hh_psc_alpha_gap

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Name:

    hh_psc_alpha_gap - Hodgkin Huxley neuron model with gap-junction support.

Description:

      hh_psc_alpha_gap is an implementation of a spiking neuron using the
      Hodkin-Huxley formalism. In contrast to hh_psc_alpha the implementation
      additionally supports gap junctions.

      (1) Post-syaptic currents
      Incoming spike events induce a post-synaptic change of current modelled
      by an alpha function. The alpha function is normalised such that an event of
      weight 1.0 results in a peak current of 1 pA.

      (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.

      (3) Gap Junctions
      Gap Junctions are implemented by a gap current of the form g_ij( V_i	- V_j).

Parameters:

      The following parameters can be set in the status dictionary.

      V_m	 double	- Membrane potential in mV
      E_L	 double	- Resting membrane potential in mV.
      g_L	 double	- Leak conductance in nS.
      C_m	 double	- Capacity of the membrane in pF.
      tau_syn_ex double	- Rise time of the excitatory synaptic alpha function in ms.
      tau_syn_in double	- Rise time of the inhibitory synaptic alpha function in ms.
      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_Kv1	 double	- Potassium peak conductance in nS.
      g_Kv3	 double	- Potassium peak conductance in nS.
      Act_m	 double	- Activation variable m
      Act_h	 double	- Activation variable h
      Inact_n   double	- Inactivation variable n
      I_e	 double	- Constant external input current in pA.

Require:

    HAVE_GSL

Receives:

    SpikeEvent, GapJunctionEvent, CurrentEvent, DataLoggingRequest

Sends:

    SpikeEvent, GapJunctionEvent

References:

      Spiking Neuron Models:
      Single Neurons, Populations, Plasticity
      Wulfram Gerstner, Werner Kistler,  Cambridge University Press

      Mancilla, J. G., Lewis, T. J., Pinto, D. J.,
      Rinzel, J., and Connors, B. W.,
      Synchronization of electrically coupled pairs
      of inhibitory interneurons in neocortex,
      J. Neurosci. 27, 2058-2073 (2007),
      doi: 10.1523/JNEUROSCI.2715-06.2007 (parameters taken from here)

      Hodgkin, A. L. and Huxley, A. F.,
      A Quantitative Description of Membrane Current
      and Its Application to Conduction and Excitation in Nerve,
      Journal of Physiology, 117, 500-544 (1952)

      Hahne, J., Helias, M., Kunkel, S., Igarashi, J.,
      Bolten, M., Frommer, A. and Diesmann, M.,
      A unified framework for spiking and gap-junction interactions
      in distributed neuronal network simulations,
      Front. Neuroinform. 9:22. (2015),
      doi: 10.3389/fninf.2015.00022

Author:

    Jan Hahne, Moritz Helias, Susanne Kunkel

SeeAlso:

- hh_psc_alpha
- hh_cond_exp_traub
- gap_junction

Source:

    /opt/conda/conda-bld/nest_1524088722951/work/nest-2.14.0/models/hh_psc_alpha_gap.h

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