// =============================================================
// PG Cell using currents from T Cleland Model ( 2006)
// One soma; one dend; one spine shaft and one spine body
//==============================================================
load_file("nrngui.hoc")
xopen("$(NEURONHOME)/lib/hoc/noload.hoc") // standard run tools
load_file("PG_def.hoc")
//v_init = -80 // to match pas
tstop = 1500
celsius = 35 // 23 !!!
//v_init = -75 // to match pas
//objref cvode
//cvode = new CVode(1)
gnic_spine = 0.0e-3 // mS/cm2
objref pg
pg = new PGcell(gnic_spine)
load_file("PG_save.hoc")
//nrncontrolmenu()
// Current injection
T1 = 500 // 500
Dur = 600 // 600
BI=0
if(BI==0) {
Ic1 = 0.1 // 0.2 nA
u0 = 0.0 // 0.05
u1 = 0.0 // 0.2
Wb_PG = 0.0e-3 // 0.3 !!!
} else {
Ic1 = 0.0
u0 = 0.05 // 0.05
u1 = 0.2 // 0.2
Wb_PG = 0.6e-3 // 0.3 !!!
}
objref Stim1
pg.soma Stim1 = new IClamp(0.5)
Stim1.del = T1
Stim1.dur = Dur
Stim1.amp = Ic1
objref Stim2
pg.gemmbody Stim2 = new OdorInput(0.0)
Stim2.torn = 1000
Stim2.r = 100 // 100
Stim2.del = 0
Stim2.dur = tstop
Stim2.f0 = u0
Stim2.f1 = u1
//Random background inputs!!!
Tb_ISI = 10 // spike interval in background input
N_SPIKE = 1000 // number of spike in background input
objref PGbinput
objref PGb
PGb = new NetStim(.5)
PGb.number = N_SPIKE
PGb.start = 0
PGb.interval = Tb_ISI
PGb.noise = 1
PGbinput = new NetCon(PGb, pg.AMPAr)
PGbinput.threshold = 0
PGbinput.delay = 0
PGbinput.weight = Wb_PG
objref g1,g2,g3,g4,g5, g6
proc fig1() {
g1 = new Graph(0)
addplot(g1, 0)
g1.size(0,tstop,-80,50)
g1.view(0,-80,tstop,130, 0,150,500,160)
g1.addvar("Soma.V", "pg.gemmbody.v(0.5)", 3, 1, 0.8, 0.9, 2) //1: black; 2: red; 3: blue
g4 = new Graph(0)
addplot(g4, 0)
g4.size(0,tstop,0,1)
g4.view(0,0,tstop,1, 0,900,500,150)
g4.addvar("Icat.m", "pg.dend.m_Icat", 5, 2, 0.8, 0.9, 2)
g4.addvar("Icat.h", "pg.dend.h_Icat", 1, 2, 0.8, 0.9, 2)
g6 = new Graph(0)
addplot(g6, 0)
g6.size(0,tstop,-80,50)
g6.view(0,-80,tstop,130, 0,500,500,160)
g6.addvar("Spine.V", "pg.gemmbody.v(0.5)", 2, 1, 0.8, 0.9, 2) //
g5 = new Graph(0)
addplot(g5, 0)
g5.size(0,tstop,0,2)
g5.view(0,0,tstop,2, 0,450,500,130)
g5.addvar("Dend.Ca", "pg.dend.cai", 2, 2, 0.8, 0.9, 2)
g2 = new Graph(0)
addplot(g2, 0)
g2.size(0,tstop, 0,180)
g2.view(0,0,tstop,180, 0,700,500,130)
g2.addvar("Dend.ECa", "pg.dend.eca", 2, 2, 0.8, 0.9, 2) //
/*
g3 = new Graph(0)
addplot(g3, 0)
g3.size(0,tstop,-0.0005,0.0005)
g3.view(0,-0.005,tstop,0.01, 450,200,400,150)
g3.addvar("ICaT", "pg.dend.ica_Icat", 1, 1, 0.9, 0.9, 2)
*/
}
fig1()
run()
save_data()