iaf_cond_alpha
iaf_cond_alpha - Simple conductance based leaky integrate-and-fire neuron model
Description
iaf_cond_alpha is an implementation of a spiking neuron using IAF dynamics with conductance-based synapses. Incoming spike events induce a post-synaptic change of conductance 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 nS at \(t = \tau_{syn}\).
References
See also
iaf_cond_exp
Parameters
Name |
Physical unit |
Default value |
Description |
---|---|---|---|
V_th |
mV |
-55mV |
Threshold potential |
V_reset |
mV |
-60mV |
Reset potential |
t_ref |
ms |
2ms |
Refractory period |
g_L |
nS |
16.6667nS |
Leak conductance |
C_m |
pF |
250pF |
Membrane capacitance |
E_exc |
mV |
0mV |
Excitatory reversal potential |
E_inh |
mV |
-85mV |
Inhibitory reversal potential |
E_L |
mV |
-70mV |
Leak reversal potential (aka resting potential) |
tau_syn_exc |
ms |
0.2ms |
Synaptic time constant of excitatory synapse |
tau_syn_inh |
ms |
2ms |
Synaptic time constant of inhibitory synapse |
I_e |
pA |
0pA |
constant external input current |
State variables
Name |
Physical unit |
Default value |
Description |
---|---|---|---|
r |
integer |
0 |
counts number of tick during the refractory period |
V_m |
mV |
E_L |
membrane potential |
Equations
Source code
The model source code can be found in the NESTML models repository here: iaf_cond_alpha.