// I am changing this script to fit the interaction between different branches.
// compared with previous versions, I decide to change PF_Freq to represent one of the four excitable branches.
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
}
objref patch_site
patch_site = new List()
ip = 0
forsec patch_list {
patch_site.append(new SectionRef())
}
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")
//start parallel instance
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, spk_id, syn_id localobj parvec, returnlist
key = $1
cu_id = int($1/100000000)
spk_id = int(($1 - cu_id*100000000)/1000000)
site_id = int(($1 - cu_id*100000000-spk_id*1000000)/10000)
syn_id = int(($1 - cu_id*100000000-spk_id*1000000-site_id*10000)/100)
trial_id = $1 - cu_id*100000000-spk_id*1000000-site_id*10000-syn_id*100
returnlist = new List()
returnlist = calc_EPSP_single(cu_id,spk_id,site_id,syn_id,trial_id)
pc.pack(returnlist.o(0))
pc.pack(returnlist.o(1))
pc.pack(returnlist.o(2))
pc.post(key)
return key
}
objref aSynapseList[11]
objref recording, baby1, babyend,babybranchlet, temone,terminal
obfunc calc_EPSP_single() {localobj outlist, currecord, integ_soma, br0, br1,tip0,tip1,onpath,patch
//function to calculate the max deflection due to a single synapse
cu_id = $1
dspk_id = $2
siteval = $3
synval= $4
tr_id = $5
curr = -0.4+(cu_id-1)*0.2
nlist = 1
Npf = 0+(synval-1)*5
for i = 1,nlist {aSynapseList[i-1] = new List() } // every time this will be initialized.
randomseed0 = cu_id*100000000+dspk_id*1000000+siteval*10000 +synval*100 + tr_id
randomseed1 = randomseed0+dspk_id-siteval
br0 = new SectionList()
br1 = new SectionList()
patch_site.o(dspk_id-1).sec br0.subtree()
patch_site.o(siteval-1).sec br1.subtree()
br0.remove(cf)
br0.unique()
br1.remove(cf)
br1.unique()
if (dspk_id==12) {
br0 = new SectionList()
forsec "dendA1_001101100*" br0.append()
}
if (dspk_id==13) {
br0 = new SectionList()
forsec "dendA1_0011011100*" br0.append()
forsec "dendA1_0011011101*" br0.append()
}
if (siteval==12) {
br1 = new SectionList()
forsec "dendA1_001101100*" br1.append()
}
if (siteval==13) {
br1 = new SectionList()
forsec "dendA1_0011011100*" br1.append()
forsec "dendA1_0011011101*" br1.append()
}
tip0 = new Vector()
for i = 1,nlist {aSynapseList[i-1] = distSyns(Npf,br1,randomseed1)}
for i = 1,nlist {
for ii=1,aSynapseList[i-1].count() {
aSynapseList[i-1].object(ii-1).onset = 396
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//
}
}
gscale = 2
forsec br1 {
gkbar_SK2 = 2.4000e-04*1.58*gscale
scal_SK2 = 1.0
gbar_Kv4 = 0.012*2.2*gscale
gbar_Kv4s = 0.015*gscale
ghbar_hpkj = 3.6e-4*0.9*gscale
vshift_Kv4 = 0
gbar_Kv1 = 0.001*gscale
gbar_Kv3 =0.1512*gscale
vshift_Kv3 = 4*0
pcabar_CaT3_1 = 5.4e-5*2*gscale
pcabar_newCaP = 0.95e-4*2*4*gscale
vshift_newCaP = -5
gbar_mslo = 0.0448*2*gscale
insert abBK
gabkbar_abBK = 0.05*3*gscale
g_pas=5.3/membraneresist*gscale
}
forsec br1 {
temone = new SectionRef()
if (temone.nchild == 0) {temone.sec terminal = new SectionRef()}
}
outlist=new List()
integ_soma = new Vector()
/****** Details: Transfers take place on exit from finitialize() and on exit from fadvance(). *******/
integ_soma.record(&somaA.v(0.5))
tip1 = new Vector()
tip1.record(&terminal.sec.v(0.5))
clamp_cc(curr)
finitialize(v_init)
continuerun(tstop)
outlist.append(integ_soma)
outlist.append(tip0)
outlist.append(tip1)
return outlist
}
pc.runworker()
objref somavec, tipvec, patchvec, onpathvec
somavec = new Vector()
tipvec = new Vector()
patchvec = new Vector()
strdef tmpstr
strdef outDir
strdef cmd
objref outfile
outfile = new File()
proc calcEPSPs() {
sprint(outDir,"simdata/fig6")
sprint(cmd, "system(\"mkdir -p %s\")",outDir)
execute(cmd)
somaA distance(0,0.5)
for cu = 3, $1 {
for dspk = $2, $2 {
for site = 1, $3 {
for m = $4, $4 {
for nt =$5 ,$5 {
mmtag=cu*100000000 + dspk*1000000 + site*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()
print "received key ",key
cuno = int(key/100000000)
frno = int((key- cuno*100000000)/1000000)
siteno = int((key - cuno*100000000 - frno*1000000)/10000)
synno= int((key - cuno*100000000 - frno*1000000 - siteno*10000)/100)
trno = key - cuno*100000000-frno*1000000-siteno*10000-synno*100
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_%03d_vsoma.dat",outDir,cuno,frno,siteno,synno,trno)
outfile.wopen(tmpstr)
somavec.printf(outfile)
outfile.close()
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_%03d_vtip0.dat",outDir,cuno,frno,siteno,synno,trno)
outfile.wopen(tmpstr)
tipvec.printf(outfile)
outfile.close()
sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_%03d_vtip1.dat",outDir,cuno,frno,siteno,synno,trno)
outfile.wopen(tmpstr)
patchvec.printf(outfile)
outfile.close()
sprint(tmpstr,"%s/V_%03d_%03d_%03d_%03d_%03d.ps",outDir,cuno,frno,siteno,synno,trno)
s.printfile(tmpstr)
}
}
calcEPSPs(3,8,20,20,1) //120 simulations