This model was converted from XPP ode format to SBML using sbmlutils-0.1.5a6.
# Modified Morris-Lecar model from Prescott (2008, 2008)
# modified from ml_salka.ode
#stim used in experiments, mean=0, std=0.1
table Iext stim.tab
#Iext(t)=0
nd=normal(0,0.3)
par dc_noise=2.2218
aux noise=dc_noise+nd
dV/dt = (i_dc(t)+amp*Iext(t)+dc_noise+nd-gna*minf(V)*(V-Vna)-gk*y*(V-VK)-gl*(V-Vl))/c
# dy/dt = phi_y*(yinf(V)-y)/tauy(V)
dy/dt = if(y<0)then(0.1)else(if(y>1)then(-0.1)else(phi_y*(yinf(V)-y)/tauy(V)))
par c=2
i_dc(t)=idc
# idc is -20.42 voor -80, -1.15 voor -70, 16.8 voor -60, 31.25 voor -50
par idc=32
init V=-50, y=0
par amp=150
aux stim=i_dc(t)+amp*Iext(t)
# FAST INWARD CURRENT (INa or activation variable)
# This is assumed to activate instantaneously with changes in voltage
# voltage-dependent activation curve is described by m
minf(V)=.5*(1+tanh((V-beta_m)/gamma_m))
# maximal conductance and reversal potential
par beta_m=-1.2,gamma_m=18
par gna=20,vna=50
# DELAYED RECTIFIER CURRENT (IKdr or recovery variable)
# this current activates more slowly than INa
# In this code, activation of IKdr is controlled by y
yinf(V)=.5*(1+tanh((V-beta_y)/gamma_y))
tauy(V)=1/cosh((V-beta_y)/(2*gamma_y))
# in the 2D model, varying beta_w shifts the w activation curve (w=y here) and can convert the neuron between class 1, 2, and 3
par beta_y=0, gamma_y=10
# maximal conductance and reversal potential
par gk=20, vk=-100, phi_y=0.15
# LEAK CURRENT (Il)
# just a passive leak conductance
par gl=2, vl=-70
# following parameters control duration of simulation and axes of default plot
@ total=303000,xlo=0,xhi=6000,ylo=-100,yhi=50
@ meth=euler, dt=0.1, bounds=1000
@ MAXSTOR=3030010
done
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