iaf_psc_delta_fixed_timestep_neuron

iaf_psc_delta_fixed_timestep - Current-based leaky integrate-and-fire neuron model with delta-kernel post-synaptic currents

Description

An implementation of a leaky integrate-and-fire model where the potential jumps on each spike arrival. The threshold crossing is followed by an absolute refractory period during which the membrane potential is clamped to the resting potential. Spikes arriving while the neuron is refractory are discarded.

The general framework for the consistent formulation of systems with neuron-like dynamics interacting by point events is described in [1]. A flow chart can be found in [2].

This model differs from iaf_psc_delta in that it assumes a fixed-timestep simulator, so the functions resolution() and steps() can be used.

References

See also

iaf_psc_alpha, iaf_psc_exp

Parameters

Name

Physical unit

Default value

Description

tau_m

ms

10ms

Membrane time constant

C_m

pF

250pF

Capacity of the membrane

refr_T

ms

2ms

Duration of refractory period

E_L

mV

-70mV

Resting membrane potential

V_reset

mV

-70mV

Reset potential of the membrane

V_th

mV

-55mV

Spike threshold

I_e

pA

0pA

constant external input current

State variables

Name

Physical unit

Default value

Description

V_m

mV

E_L

Membrane potential

refr_counter

integer

0

Refractory period timer

Equations

\[\frac{ dV_{m} } { dt }= \frac{ -(V_{m} - E_{L}) } { \tau_{m} } + \frac 1 { C_{m} } \left( { (I_{e} + I_{stim}) } \right)\]

Source code

The model source code can be found in the NESTML models repository here: iaf_psc_delta_fixed_timestep_neuron.