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:
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.
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 K-current (see [1], p 1677) |
t_ref |
ms |
Refractory time and duration of post-spike repolarizing potassium current (t_spike in [1]) |
tau_spike |
ms |
Membrane time constant for post-spike 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, 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.
Sends¶
SpikeEvent
Receives¶
SpikeEvent, CurrentEvent, DataLoggingRequest