load_file("nrngui.hoc")
xopen("$(NEURONHOME)/lib/hoc/noload.hoc") // standard run tools
xopen("tabchannels.hoc")
load_file("MC_def.hoc")
tstop = 6000
celsius = 35
gnic_tuft = 0.0e-3 // mS/cm2
objref mit
mit = new Mitral(gnic_tuft)
load_file("MC_save.hoc")
nrncontrolmenu()
// Current injection
T1 = 1500 //
Dur = 4000
Ic1 = 0.18 //
// Noisy current injection
F0 = 0.0 //
F1 = 0.0 //
objref Stim1, Stim2
mit.soma Stim1 = new IClamp(0.5)
Stim1.del = T1
Stim1.dur = Dur
Stim1.amp = Ic1
mit.tuft Stim2 = new OdorInput(0.5)
Stim2.del = 1000
Stim2.dur = Dur
Stim2.torn = 3000
Stim2.r = 100
Stim2.f0 = F0
Stim2.f1 = F1
// Exponential synapse
objref syn1, syn2
mit.tuft syn1 = new ExpSyn(0.5)
syn1.tau = 10
syn1.e = 0 // -70
// Alpha synapses
mit.dend syn2 = new AlphaSynapse(0.5) // Tuft
//mit.tuft syn2 = new AlphaSynapse(0.0) // Tuft
syn2.onset = 3362 // 3255 for 0.2 nA
syn2.tau = 3
syn2.gmax = 0.0 // Dend: 0.003/0.01; Tuft:0.005/0.02
syn2.e = -80
// Artifical Spiking Input
objref nc
nc = new NetStim(.5)
nc.number = 100
nc.start = 1000
nc.interval = 100
nc.noise = 0
objref ns
ns = new NetCon(nc, syn1) // mit.AMPA
ns.threshold = 0
ns.delay = 0
ns.weight = 0e-3 // 30 uS
proc advance() {
fadvance()
}
proc run() {
running_ = 1
stdinit()
continuerun(tstop)
}
objref mitrate, spk
spk = new Vector()
mitrate = new Vector()
T = (tstop-T1)/1000
proc firing_rate() { local i, n
n = 0
if (mit.spiketimes.size() > 0) {
spk = mit.spiketimes
ind = spk.indwhere(">", T1)
if (ind != -1) {
//print ind
n = spk.size()-ind
}
}
mitrate.append(n/T)
mitrate.printf()
}
objref g1, g2, g3, g4, g5, g6, g7, g8, g9
proc fig() {
g3 = new Graph(0)
addplot(g3, 0)
g3.size(0,tstop,-70,60)
g3.view(0,-80,tstop,140, 0,150,400,150)
g3.addvar("Tuft.V", "mit.tuft.v(0.5)", 1, 1, 0.9, 0.9, 2)
g4 = new Graph(0)
addplot(g4, 0)
g4.size(0,tstop,-70,60)
g4.view(0,-80,tstop,140, 0,420,400,150)
g4.addvar("Prim.V", "mit.prim.v(0.5)", 5, 1, 0.9, 0.9, 2)
g1 = new Graph(0)
addplot(g1, 0)
g1.size(0,tstop,-70,60)
g1.view(0,-80,tstop,140, 0,680,400,150)
g1.addvar("Soma.V", "mit.soma.v(0.5)", 3, 1, 0.9, 0.9, 2)
g2 = new Graph(0)
addplot(g2, 0)
g2.size(0,tstop,-70,60)
g2.view(0,-80,tstop,140, 0,920,400,150)
g2.addvar("Dend.V", "mit.dend.v(1.0)", 2, 1, 0.9, 0.9, 2) //1: black; 2: red; 3: blue
/*
g9 = new Graph(0)
addplot(g9, 0)
g9.size(0,tstop,0,1)
g9.view(0,0,tstop,1, 450,200,400,150)
g9.addvar("Conductance", "syn2.i", 2, 1, 0.9, 0.9, 2) //1: black; 2: red; 3: blue
*/
g6 = new Graph(0)
addplot(g6, 0)
g6.size(0,tstop,0,1)
g6.view(0,0,tstop,1, 0,150,400,150)
g6.addvar("Ks Activation", "mit.soma.m_IKs", 2, 1, 0.9, 0.9, 2)
g6.addvar("Ks Inactivation", "mit.soma.h_IKs", 1, 1, 0.9, 0.9, 2)
/*
g5 = new Graph(0)
addplot(g5, 0)
g5.size(0,tstop,-2,2)
g5.view(0,-2,tstop,4, 450,200,400,150)
g5.addvar("Noisy input", "Stim2.i", 2, 1, 0.9, 0.9, 2) //1: black; 2: red; 3: blue
g7 = new Graph(0)
addplot(g7, 0)
g7.size(0,tstop,0,0.0001)
g7.view(0,0,tstop,0.0001, 0,420,400,150)
g7.addvar("Cai", "mit.soma.cai", 2, 1, 0.9, 0.9, 2)
g8 = new Graph(0)
addplot(g8, 0)
g8.size(0,tstop,-0.0005,0.0005)
g8.view(0,-0.005,tstop,0.01, 450,200,400,150)
g8.addvar("IKCa", "mit.soma.ik_IKCa", 1, 1, 0.9, 0.9, 2) //1: black; 2: red; 3: blue
*/
}
fig()
run()
//firing_rate()
save_data()