from numpy import *
from pylab import *

## setup parameters and state variables
T       = 1000                  # total time to simulate (msec)
dt      = 0.125               # simulation time step (msec)
time    = arange(0, T+dt, dt) # time array
t_rest  = 0                   # initial refractory time

## LIF properties
Vm      = zeros(len(time))    # potential (V) trace over time 
Rm      = 1                   # resistance (kOhm)
Cm      = 10                  # capacitance (uF)
tau_m   = Rm*Cm               # time constant (msec)
tau_ref = 4                   # refractory period (msec)
Vth     = 1                   # spike threshold (V)
V_spike = 0.5                 # spike delta (V)

## Input stimulus
#I       = 1.5                 # input current (A)

## iterate over each time step
for i, t in enumerate(time):
    if t > t_rest:
        I = (math.sin(t / 50) + 1)
        Vm[i] = Vm[i-1] + (-Vm[i-1] + I*Rm) / tau_m * dt
        if Vm[i] >= Vth:
            Vm[i] += V_spike
            t_rest = t + tau_ref

## plot membrane potential trace  
plot(time, Vm)
title('Leaky Integrate-and-Fire Example')
ylabel('Membrane Potential (V)')
xlabel('Time (msec)')
ylim([0,2])
show()

from numpy import *
from pylab import *

## setup parameters and state variables
T       = 200                  # total time to simulate (msec)
dt      = 0.125               # simulation time step (msec)
time    = arange(0, T+dt, dt) # time array
t_rest  = 0                   # initial refractory time

## LIF properties
Vm      = zeros(len(time))    # potential (V) trace over time 
Rm      = 1                   # resistance (kOhm)
Cm      = 10                  # capacitance (uF)
tau_m   = Rm*Cm               # time constant (msec)
tau_ref = 4                   # refractory period (msec)
Vth     = 1                   # spike threshold (V)
V_spike = 0.5                 # spike delta (V)
I = 1.5
## Input stimulus
#I       = 1.5                 # input current (A)

## iterate over each time step
for i, t in enumerate(time):
    if t > t_rest:
        Vm[i] = Vm[i-1] + (-Vm[i-1] + I*Rm) / tau_m * dt
        if Vm[i] >= Vth:
            Vm[i] += V_spike
            t_rest = t + tau_ref

## plot membrane potential trace  
plot(time, Vm)
title('Leaky Integrate-and-Fire Example')
ylabel('Membrane Potential (V)')
xlabel('Time (msec)')
ylim([0,2])
show()

revert LIF base model