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/XPP/report.txt | ||
/XPP/fhn.model.xml | ||
/XPP/LEMS_fhn.xml | ||
/XPP/LEMS_*.xml | ||
/XPP/wc.model.xml |
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target: fhn.ode | ||
engine: XPP | ||
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mep: .test.fhn.xpp.mep | ||
mep: .test.fhn.mep | ||
experiments: | ||
spikes: | ||
observables: | ||
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target: nca.ode | ||
engine: pyNEURON_XPP_LEMS | ||
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mep: .test.nca.mep | ||
experiments: | ||
spikes: | ||
observables: | ||
spike times: | ||
file: | ||
path: output.dat | ||
columns: [0,14] | ||
scaling: [1000, 1] | ||
spike detection: | ||
method: threshold | ||
threshold: 0 | ||
tolerance: 0.009999966556292568 | ||
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target: nca.ode | ||
engine: XPP | ||
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mep: .test.nca.xpp.mep | ||
mep: .test.nca.mep | ||
experiments: | ||
spikes: | ||
observables: | ||
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system: Test XPP | ||
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experiments: | ||
spikes: | ||
expected: | ||
spike times: [0.80000001, 5.5999999, 9.4499998, 13.15, 16.799999, 20.4, 24.0, 27.549999, 31.15, 34.700001, 38.200001] | ||
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target: wc.ode | ||
engine: pyNEURON_XPP_LEMS | ||
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mep: .test.wc.mep | ||
experiments: | ||
spikes: | ||
observables: | ||
spike times: | ||
file: | ||
path: output.dat | ||
columns: [0,1] | ||
scaling: [1000, 1] | ||
spike detection: | ||
method: threshold | ||
threshold: 0.53 | ||
tolerance: 0.009505703422053232 | ||
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target: wc.ode | ||
engine: XPP | ||
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mep: .test.wc.mep | ||
experiments: | ||
spikes: | ||
observables: | ||
spike times: | ||
file: | ||
path: output.dat | ||
columns: [0,1] | ||
scaling: [1, 1] | ||
spike detection: | ||
method: threshold | ||
threshold: 0.53 | ||
tolerance: 0.00 | ||
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# wilson-cowan | ||
f(u)=1/(1+exp(-1*(u))) | ||
par aee=10,aie=8,aei=12,aii=3,ze=.2,zi=4 | ||
par tau=1 | ||
i_e(t)=ie0+ie1*sin(w*t) | ||
i_i(t)=ii0+ii1*sin(w*t) | ||
par ie0=0,ie1=0,w=.25 | ||
par ii0=0,ii1=0 | ||
init u=.1,v=.05 | ||
u'=-u+f(aee*u-aie*v-ze+i_e(t)) | ||
v'=(-v+f(aei*u-aii*v-zi+i_i(t)))/tau | ||
@ total=40 | ||
@ xp=u,yp=v,xlo=-.1,xhi=1,ylo=-.1,yhi=1 | ||
done |