fig3.hoc

//for figure 3&4
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")

objref pc
pc = new ParallelContext()

//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($1/100000000)
	fr_id = int(($1 - cu_id*100000000)/1000000)
	site_id = int(($1 - cu_id*100000000-fr_id*1000000)/10000)
	dend_id = int(($1 - cu_id*100000000-fr_id*1000000-site_id*10000)/100)
	trial_id = $1 - cu_id*100000000-fr_id*1000000-site_id*10000-dend_id*100
	returnlist = new List()
	returnlist = calc_EPSP_single(cu_id,fr_id,site_id,dend_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, br1,tip,onpath,patch
	//function to calculate the max deflection due to a single synapse
	cu_id = $1
	fr_id = $2
	siteval = $3
	synval= $4
	tr_id = $5
	curr = -0.4+(cu_id-1)*0.2

	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*100000000+fr_id*1000000+siteval*10000 +synval*100 + tr_id

br1 = new SectionList()

patch_site.o(siteval-1).sec br1.subtree()
br1.remove(cf)
br1.unique()

if (siteval==12) {
	br1 = new SectionList()
	forsec "dendA1_001101100*" br1.append()
}
if (i==13) {
	br1 = new SectionList()
	forsec "dendA1_0011011100*" br1.append()
	forsec "dendA1_0011011101*" br1.append()
}

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//
	}
}


forsec br1 {
temone = new SectionRef()
if (temone.nchild == 0) {temone.sec terminal = new SectionRef()}
}

	outlist=new List()
	integ_soma = new Vector()
	integ_soma.record(&somaA.v(0.5))
	
	tip = new Vector()
	tip.record(&terminal.sec.v(0.5))
	patch = new Vector()
	patch.record(&patch_site.o(siteval-1).sec.v(0.5))

clamp_cc(curr)
finitialize(v_init)
continuerun(tstop)

outlist.append(integ_soma)
outlist.append(tip)
outlist.append(patch)

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/fig3")
	sprint(cmd, "system(\"mkdir -p %s\")",outDir)
	execute(cmd)
	somaA distance(0,0.5)
	for cu = 3, $1 {
		for freq = 1, $2 {
			for site = 1, $3 {
				for m = 1, $4 {
					for nt =1 ,$5 {
						mmtag=cu*100000000 + freq*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_vtip.dat",outDir,cuno,frno,siteno,synno,trno) 
		outfile.wopen(tmpstr)
		tipvec.printf(outfile)
		outfile.close()
		sprint(tmpstr,"%s/%03d_%03d_%03d_%03d_%03d_vpatch.dat",outDir,cuno,frno,siteno,synno,trno) 
		outfile.wopen(tmpstr)
		patchvec.printf(outfile)
		outfile.close()

	}
}	
	
calcEPSPs(3,1,22,20,10)