# Command: ht_neuron

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Name:

    ht_neuron - Neuron model after Hill & Tononi (2005).

Examples:

     	- docs/model_details/HillTononiModels.ipynb
     	- pynest/examples/intrinsic_currents_spiking.py
     	- pynest/examples/intrinsic_currents_subthreshold.py

Description:

      This model neuron implements a slightly modified version of the
      neuron model described in [1]. The most important properties are:

     	- Integrate-and-fire with threshold adaptive threshold.
     	- Repolarizing potassium current instead of hard reset.
     	- AMPA, NMDA, GABA_A, and GABA_B conductance-based synapses with
      beta-function (difference of exponentials) time course.
     	- Voltage-dependent NMDA with instantaneous or two-stage unblocking [1, 2].
     	- Intrinsic currents I_h, I_T, I_Na(p), and I_KNa.
     	- Synaptic "minis" are not implemented.

      Documentation and

Parameters:

      V_m		- membrane potential
      tau_m		- membrane time constant applying to all currents except
      repolarizing K-current (see [1], p 1677)
      t_ref		- refractory time and duration of post-spike repolarizing
      potassium current (t_spike in [1])
      tau_spike		- membrane time constant for post-spike repolarizing
      potassium current
      voltage_clamp 	- if true, clamp voltage to value at beginning of simulation
      (default: false, mainly for testing)
      theta, theta_eq, tau_theta	- threshold, equilibrium value, time constant
      g_KL, E_K, g_NaL, E_Na		- conductances and reversal potentials for K and
      Na leak currents
      {E_rev,g_peak,tau_rise,tau_decay}_{AMPA,NMDA,GABA_A,GABA_B}
     	- reversal potentials, peak conductances and
      time constants for synapses (tau_rise/
      tau_decay correspond to tau_1/tau_2 in the
      paper)
      V_act_NMDA, S_act_NMDA, tau_Mg_{fast, slow}_NMDA
     	- parameters for voltage dependence of NMDA-
      conductance, see above
      instant_unblock_NMDA		- instantaneous NMDA unblocking (default: false)
      {E_rev,g_peak}_{h,T,NaP,KNa}	- reversal potential and peak conductance for
      intrinsic currents
      tau_D_KNa		- relaxation time constant for I_KNa
      receptor_types		- dictionary mapping synapse names to ports on
      neuron model
      recordables		- list of recordable quantities
      equilibrate		- if given and true, time-dependent activation
      and inactivation state variables (h, m) of
      intrinsic currents and NMDA channels are set
      to their equilibrium values during this
      SetStatus call; otherwise they retain their
      present values.

      Note: Conductances are unitless in this model and currents are in mV.

Require:

    HAVE_GSL

Receives:

    SpikeEvent, CurrentEvent, DataLoggingRequest

Sends:

    SpikeEvent

References:

      [1] S Hill and G Tononi (2005). J Neurophysiol 93:1671-1698.
      [2] M Vargas-Caballero HPC Robinson (2003). J Neurophysiol 89:2778-2783.

Author:

    Hans Ekkehard Plesser

FirstVersion:

    October 2009; full revision November 2016

SeeAlso:

- ht_synapse

Source:

    /opt/conda/conda-bld/nest_1512421404550/work/nest-2.12.0/models/ht_neuron.h

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