# Command: iaf_chxk_2008

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Name:

    iaf_chxk_2008 - Conductance based leaky integrate-and-fire neuron model
      used in Casti et al 2008.

Description:

      iaf_chxk_2008 is an implementation of a spiking neuron using IAF dynamics with
      conductance-based synapses [1]. It is modeled after iaf_cond_alpha with the
      addition of after hyper-polarization current instead of a membrane potential
      reset. Incoming spike events induce a post-synaptic change of conductance
      modeled by an alpha function. The alpha function is normalized such that an
      event of weight 1.0 results in a peak current of 1 nS at t = tau_syn.

Parameters:

      The following parameters can be set in the status dictionary.

      V_m	 double	- Membrane potential in mV
      E_L	 double	- Leak reversal potential in mV.
      C_m	 double	- Capacity of the membrane in pF
      V_th	 double	- Spike threshold in mV.
      E_ex	 double	- Excitatory reversal potential in mV.
      E_in	 double	- Inhibitory reversal potential in mV.
      g_L	 double	- Leak conductance in nS.
      tau_ex	 double	- Rise time of the excitatory synaptic alpha function in ms.
      tau_in	 double	- Rise time of the inhibitory synaptic alpha function in ms.
      I_e	 double	- Constant input current in pA.
      tau_ahp   double	- Afterhyperpolarization (AHP) time constant in ms.
      E_ahp	 double	- AHP potential in mV.
      g_ahp	 double	- AHP conductance in nS.
      ahp_bug   bool  	- Defaults to false. If true, behaves like original
      model implementation.

Require:

    HAVE_GSL

Receives:

    SpikeEvent, CurrentEvent

Sends:

    SpikeEvent

References:

      [1] Casti A, Hayot F, Xiao Y, and Kaplan E (2008) A simple model of retina-LGN
      transmission. J Comput Neurosci 24:235-252.

Author:

    Heiberg

SeeAlso:

- iaf_cond_alpha

Source:

    /opt/conda/conda-bld/nest_1531570948828/work/models/iaf_chxk_2008.h

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