load_file("nrngui.hoc")
Default_Eleak = -65
membranecap = 0.64 /* specific membrane capacitance in uF cm^-2 */
membraneresist = 120236 /* specific membrane resistance in ohm cm^2 */
axialresist = 120 /* axial resistivity in ohm cm */
xopen("Purkinje19b972-1.nrn") // Load the morphology file.
forsec "axon" delete_section() // Delete original axon and add a fake AIS
objref g2, b2,c2, distrx, distry, cdistry, p
forall {
insert pas e_pas=Default_Eleak /* Insert Leak everywhere */
insert hpkj // Ih inserted everywhere
insert ds
insert pk
}
AIS { g_pas=1/membraneresist Ra=axialresist cm=membranecap}
forsec spinydend {g_pas=5.3/membraneresist Ra=axialresist cm=5.3*membranecap}
forsec maindend {g_pas=1.2/membraneresist Ra=axialresist cm=1.2*membranecap}
forsec "soma" { g_pas=1/membraneresist Ra=axialresist cm=membranecap}
forsec maindend {insert cdp4N}
forsec alldend {
insert Kv3
gbar_Kv3 = 0.1512
vshift_Kv3 = 4
insert newCaP
pcabar_newCaP = 0.00019
vshift_newCaP =-5
insert CaT3_1
pcabar_CaT3_1 = 2.7e-05
insert mslo
gbar_mslo = 0.21504
insert SK2
gkbar_SK2 = 2.4000e-04*1.5
scal_SK2 = 1.0
ghbar_hpkj = 0.00036
insert Kv1
gbar_Kv1 = 0.002
insert Kv4
gbar_Kv4 = 0.0252
insert Kv4s
gbar_Kv4s = 0.015
}
forsec spinydend {
insert cdp4Nsp
gkbar_SK2 = 0.00036
scal_SK2 = 1.0
gbar_Kv4 = 0.0264
gbar_Kv4s = 0.015
ghbar_hpkj = 0.000324
vshift_Kv4 = 0
gbar_Kv1 = 0.001
gbar_Kv3 =0.1512
vshift_Kv3 = 0
pcabar_CaT3_1 = 0.000108
pcabar_newCaP = 0.00076
vshift_newCaP = -5
scale_cdp4Nsp = 3.5
gbar_mslo = 0.0896
insert abBK
gabkbar_abBK = 0.15
}
access somaA
somaA distance(0,0.5)
forsec "soma" {
insert naRsg
gbar_naRsg = 0.03168
vshifta_naRsg = 0
vshiftk_naRsg = 0
vshifti_naRsg = -5
insert nap
gbar_nap = 0.00014
insert pk
ena = 63
ghbar_hpkj = 0.000108
insert cdp20N_FD2
insert Kv3
gbar_Kv3 = 1.8
vshift_Kv3 = 4
insert newCaP
pcabar_newCaP =0.00019
kt_newCaP = 1
vshift_newCaP = -5
insert mslo
gbar_mslo = 0.8736
insert abBK
gabkbar_abBK = 0.3
insert SK2
gkbar_SK2 = 0.0075
}
AIS {
insert naRsg
gbar_naRsg = 0.56
vshifta_naRsg = 15
vshiftk_naRsg = 5
vshifti_naRsg = -5
insert nap
gbar_nap = 0.0023
insert CaT3_1
pcabar_CaT3_1 = 0.000128
ena = 63
ghbar_hpkj = 0.000108
insert cdpAIS
insert Kv3
gbar_Kv3 =115.2
vshift_Kv3 = 4
insert newCaP
pcabar_newCaP = 0.00228
kt_newCaP = 1
vshift_newCaP = -5
insert mslo
gbar_mslo = 6
insert abBK
gabkbar_abBK = 1.05
insert SK2
gkbar_SK2 = 0.027777778
}
celsius = 34
dt = 0.02
steps_per_ms = 1/dt
dtsim = 0.02
objref g2, b2,c2, distrm, distrd
xopen ("electrode.hoc")
xopen("distri.hoc") //voltage spatial distribution
proc clamp_cc() {
somaA {
stim1.del = 0
stim1.dur = 1000000
stim1.amp = $1
}
}
v_init = -70
tstop = 500
objref scalefile
scalefile=new File()
xopen("distri_synapse.hoc")
objref pc
pc = new ParallelContext()
print "number of hosts: ", pc.nhost(), "\thost id: ", pc.id()
//function farmed out to slave nodes
func distscale() {local key, errval, cu_id, fr_id, dend_id localobj parvec, returnlist
key = $1
cu_id = int($1/1000000)
fr_id = int(($1 - cu_id*1000000)/10000)
dend_id = int(($1 - cu_id*1000000-fr_id*10000)/100)
trial_id = $1 - cu_id*1000000-fr_id*10000-dend_id*100
returnlist = new List()
returnlist = calc_EPSP_single(cu_id,fr_id,dend_id,trial_id)
pc.pack(returnlist.o(0))
pc.pack(returnlist.o(1))
pc.pack(returnlist.o(2))
pc.pack(returnlist.o(3))
pc.post(key)
return key
print"good"
}
objref aSynapseList[11]
obfunc calc_EPSP_single() {localobj outlist, currecord, integ_soma, br1,tip,onpath,patch
//function to calculate the max deflection due to a single synapse
cu_id = $1
fr_id = $2
synval= $3
tr_id = $4
curr = 0+(cu_id-1)*0.2
outlist=new List()
integ_soma = new Vector()
integ_soma.record(&somaA.v(0.5))
tip = new Vector()
tip.record(&dendA1_001011110110010110.v(0.5))
patch = new Vector()
patch.record(&dendA1_0010111101.v(0.5))
onpath = new Vector()
onpath.record(&dendA1_001011.v(0.5))
nlist = fr_id // in fact nlist can be multiple, make synapses firing at bursting
Npf = 5+(synval-1)*5
for i = 1,nlist {aSynapseList[i-1] = new List() } // every time this will be initialized.
randomseed = cu_id*1000000+fr_id*10000+ synval*100 + tr_id
br1 = new SectionList()
forsec "dendA1_00101111011*" {br1.append()}
br1.remove(cf)
br1.unique()
for i = 1,nlist {aSynapseList[i-1] = distSyns(Npf,br1,randomseed)}
for i = 1,nlist {
for ii=1,aSynapseList[i-1].count() {
aSynapseList[i-1].object(ii-1).onset = 396+10*(i-1)
aSynapseList[i-1].object(ii-1).tau0 = 0.3
aSynapseList[i-1].object(ii-1).tau1 = 3
aSynapseList[i-1].object(ii-1).e = 0
aSynapseList[i-1].object(ii-1).gmax = 0.5e-3//
}
}
clamp_cc(curr)
finitialize(v_init)
continuerun(tstop)
for i = 1,nlist {aSynapseList[i-1].remove_all()}
outlist.append(integ_soma)
outlist.append(tip)
outlist.append(patch)
outlist.append(onpath)
//return integ_soma
return outlist
}
pc.runworker()
//objects for input/output
objref somavec, tipvec, patchvec, onpathvec
somavec = new Vector()
tipvec = new Vector()
patchvec = new Vector()
onpathvec = new Vector()
strdef tmpstr
strdef outDir
strdef cmd
objref outfile
outfile = new File()
proc calcEPSPs() {
sprint(outDir,"simdata/fig1")
sprint(cmd, "system(\"mkdir -p %s\")",outDir)
execute(cmd)
somaA distance(0,0.5)
for cu = 1, $1 {
for freq = 1, $2 {
for m = 1, $3 {
for nt =1 ,$4 {
mmtag=cu*1000000+freq*10000+ m*100 + nt
pc.submit("distscale",mmtag) //send out the error calculations
}
}
}
}
//collect error values
while (pc.working()) {
key = pc.retval() //retrieve the tag
pc.look_take(key) //remove the tag/job from the bulletin
somavec = pc.upkvec() //unpack the error value associated with the tag
tipvec = pc.upkvec()
patchvec = pc.upkvec()
onpathvec = pc.upkvec()
print "received key ",key
cuno = int(key/1000000)
frno = int((key- cuno*1000000)/10000)
synno= int((key - cuno*1000000 - frno*10000)/100)
trno = key - cuno*1000000-frno*10000-synno*100
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_vsoma.dat",outDir,cuno,frno,synno,trno)
outfile.wopen(tmpstr)
somavec.printf(outfile)
outfile.close()
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_vtip.dat",outDir,cuno,frno,synno,trno)
outfile.wopen(tmpstr)
tipvec.printf(outfile)
outfile.close()
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_vpatch.dat",outDir,cuno,frno,synno,trno)
outfile.wopen(tmpstr)
patchvec.printf(outfile)
outfile.close()
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_vonpath.dat",outDir,cuno,frno,synno,trno)
outfile.wopen(tmpstr)
onpathvec.printf(outfile)
outfile.close()
}
}
calcEPSPs(1,1,20,10) //several arguments to pass parameters, current, frequency of pf, number of synapses, ntrial