XPP model
This model was converted from XPP ode format to SBML using sbmlutils-0.1.5a6
.
# Theta neuron network with 50e and 20i cells with all-to-all # connectivity and tonic input to both the e- and i-cells # # Parameters par I_e=1, I_i=0 par gei=.4,gii=0.15,gee=0.1, gie=2 par tauz=50,gz=.2 par sige=0.5, sigi=.02 par taue=1, taui=3 # #ODEs for e-cells, i-cells and adaptation x[0..49]'=1-cos(x[j])+(1+cos(x[j]))*(I_e-gz*z[j]-gie*si+gee*se+sige*we[j]) z[0..49]'=sd(x[j])-z[j]/tauz y[0..19]'=1-cos(y[j])+(1+cos(y[j]))*(I_i-gii*si+gei*se+sigi*wi[j]) # Synapses se'=sum(0,49)of(sd(shift(x0,i')))/50-se/taue si'=sum(0,19)of(sd(shift(y0,i')))/20-si/taui global 1 x[0..49]-pi {x[j]=-pi} global 1 y[0..19]-pi {y[j]=-pi} # # Initial Conditions x[0..49](0)=ran(1)*2*pi-pi y[0..19](0)=ran(1)*2*pi-pi wiener we[0..49] wiener wi[0..19] sd(x)=exp(-b*(1-cos(x-2.5)))*b par b=100 aux swgt=.8*se+.2*si @ meth=euler, @ total=1400,trans=400,maxstor=1000000 @ dt=0.02,nOut=10 @ xp=t,yp=se,xlo=600,xhi=1200,ylo=0,yhi=.5 done
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Copyright © 2017 Matthias Koenig
Redistribution and use of any part of this model, with or without modification, are permitted provided that the following conditions are met:
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Model :
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type | FunctionDefinitions [5] | name | math | sbo | cvterm |
---|---|---|---|---|---|
FunctionDefinition | max
|
minimum | |||
FunctionDefinition | min
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maximum | |||
FunctionDefinition | heav
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heavyside | |||
FunctionDefinition | mod
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modulo | |||
FunctionDefinition | sd
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type | Parameters [26] | name | constant | value | unit | derived unit | sbo | cvterm |
---|---|---|---|---|---|---|---|---|
Parameter | i_e
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i_e = 1 | F | 1.0 | None | |||
Parameter | i_i
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i_i = 0 | F | 0.0 | None | |||
Parameter | gei
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gei = .4 | F | 0.4 | None | |||
Parameter | gii
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gii = 0.15 | F | 0.15 | None | |||
Parameter | gee
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gee = 0.1 | F | 0.1 | None | |||
Parameter | gie
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gie = 2 | F | 2.0 | None | |||
Parameter | tauz
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tauz = 50 | F | 50.0 | None | |||
Parameter | gz
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gz = .2 | F | 0.2 | None | |||
Parameter | sige
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sige = 0.5 | F | 0.5 | None | |||
Parameter | sigi
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sigi = .02 | F | 0.02 | None | |||
Parameter | taue
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taue = 1 | F | 1.0 | None | |||
Parameter | taui
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taui = 3 | F | 3.0 | None | |||
Parameter | x[0..49] | F | 0.0 | None | ||||
Parameter | y[0..19] | F | 0.0 | None | ||||
Parameter | T | 0.0 | None | |||||
Parameter | T | 0.0 | None | |||||
Parameter | b
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b = 100 | F | 100.0 | None | |||
Parameter | x[0..49] = ran(1)*2*pi-pi | T | 0.0 | dimensionless | None | |||
Parameter | y[0..19] = ran(1)*2*pi-pi | T | 0.0 | dimensionless | None | |||
Parameter | F | 0.0 | dimensionless | None | ||||
Parameter | F | 0.0 | dimensionless | None | ||||
Parameter | F | 0.0 | dimensionless | None | ||||
Parameter | se
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F | 0.0 | dimensionless | None | |||
Parameter | si
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F | 0.0 | dimensionless | None | |||
Parameter | swgt
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F | 0.0 | dimensionless | None | |||
Parameter | t
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model time | F | 0.0 | dimensionless | None |
type | InitialAssignments [2] | name | assignment | derived units | sbo | cvterm | |
---|---|---|---|---|---|---|---|
InitialAssignment | = | None | |||||
InitialAssignment | = | None |
type | Rules [7] | assignment | name | derived units | sbo | cvterm | |
---|---|---|---|---|---|---|---|
Rule | = | None | |||||
Rule | = | None | |||||
Rule | = | None | |||||
Rule | d se/dt
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= | None | ||||
Rule | d si/dt
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= | None | ||||
Rule | swgt
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= | None | ||||
Rule | t
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= | None |
type | Events [2] | name | trigger | priority | delay | assignments | sbo | cvterm |
---|---|---|---|---|---|---|---|---|
Event | e0
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None initialValue = False persistent = True |
=
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Event | e1
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None initialValue = False persistent = True |
=
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