ht_neuron – Neuron model after Hill & Tononi (2005)¶
Description¶
This model neuron implements a slightly modified version of the neuron model described in 1. The most important properties are:
Integrateandfire with threshold adaptive threshold.
Repolarizing potassium current instead of hard reset.
AMPA, NMDA, GABA_A, and GABA_B conductancebased synapses with betafunction (difference of exponentials) time course.
Voltagedependent NMDA with instantaneous or twostage unblocking 1, 2.
Intrinsic currents I_h, I_T, I_Na(p), and I_KNa.
Synaptic “minis” are not implemented.
For implementation details see:
For examples, see:
For an example network model using ht_neuron
(based on 1), see:
Parameters¶
V_m 
mV 
Membrane potential 
tau_m 
ms 
Membrane time constant applying to all currents except repolarizing Kcurrent (see 1, p 1677) 
t_ref 
ms 
Refractory time and duration of postspike repolarizing potassium current (t_spike in 1) 
tau_spike 
ms 
Membrane time constant for postspike repolarizing potassium current 
voltage_clamp 
boolean 
If true, clamp voltage to value at beginning of 
simulation 
(default: false, mainly for testing) 

theta 
mV 
Threshold 
theta_eq 
mV 
Equilibrium value 
tau_theta 
ms 
Time constant 
g_KL 
nS 
Conductance for potassium leak current 
E_K 
mV 
Reversal potential for potassium leak currents 
g_NaL 
nS 
Conductance for sodium leak currents 
E_Na 
mV 
Reversal potential for Na leak currents 
tau_D_KNa 
ms 
Relaxation time constant for I_KNa 
receptor_types 
Dictionary mapping synapse names to ports on neuron model 

recordables 
List of recordable quantities 
{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 
{N}_{T,NaP} 
Exponent activation term m_inf, corresponding to number of activation particles 
equilibrate 
If given and true, timedependent 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.
Sends¶
SpikeEvent
Receives¶
SpikeEvent, CurrentEvent, DataLoggingRequest
References¶
 1(1,2,3,4,5)
Hill S, Tononi G (2005). Modeling sleep and wakefulness in the thalamocortical system. Journal of Neurophysiology. 93:16711698. DOI: https://doi.org/10.1152/jn.00915.2004
 2
VargasCaballero M, Robinson HPC (2003). A slow fraction of Mg2+ unblock of NMDA receptors limits their contribution to spike generation in cortical pyramidal neurons. Journal of Neurophysiology 89:27782783. DOI: https://doi.org/10.1152/jn.01038.2002