Pyramidal Neuron Deep: attenuation in dendrites (Stuart, Spruston 1998)

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Accession:3677
Stuart, G. and Spruston, N. Determinants of voltage attenuation in neocortical pyramidal neuron dendrites. Journal of Neuroscience 18:3501-3510, 1998.
Reference:
1 . Stuart G, Spruston N (1998) Determinants of voltage attenuation in neocortical pyramidal neuron dendrites. J Neurosci 18:3501-10 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I h;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Parameter Fitting;
Implementer(s): Spruston, Nelson [Spruston at Northwestern.edu];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; I h;
/* access dend1[7]   -- somatic recording site at 0.5    */
/* access dend1[134] -- dendritic recording site at 0.01 */

graphicson = 1    /* 1 graphics on, -1 graphics off */
lserroron = -1    /* compare simulation to real data if > 0 */
writeout = 0      /* equals 1 if output should be written to a file */

xopen("$(NEURONHOME)/lib/hoc/noload.hoc")
xopen("mystdrun.hoc")
xopen("ri22geo5.hoc")
xopen("ri22init.hoc")
xopen("ri22func.hoc")
nrnmainmenu()
nrncontrolmenu()

tstop=400
long=1
short=0
both=0
syn=0
nurm=4
nuri=0
initq=8
init_params()

global_ra=102.4
Cm=1.0462
Rm=23292
areascale=1.0

if (syn<1) {
	read_expt_data()
}

insert_pass()		/* initialize passive membrane */

if (nurm<1) {
	init_pass(Cm)	/* initialize passive membrane */
}
if (nurm==3) {
	init_nurm3(areascale)	/* initialize passive membrane */
}
if (nurm==4) {
	init_nurm4(Cm)	/* initialize passive membrane */
}
if (qblock<1) {
  insertq()
  if (initq==1) {
    initq1()
  }
  if (initq==8) {
    initq8(qten_qq/10)
  }
  if (initq==9) {
    initq9(qten_qq/10)
  }
  if (initq==10) {
    initq10(qten_qq/10)
  }
  if (initq==12) {
    initq12(qten_qq/10)
  }
}		

if (graphicson>0) {
  newPlotV(-82,-56)
}

init()			/* initialize v and active states */

if (syn<1) {
	somarawvec.play(&somarawv,vecdt)
	dendrawvec.play(&dendrawv,vecdt)
	somarawvec.play_remove()
	dendrawvec.play_remove()
}
somarawvec.add(somaticv())
dendrawvec.add(dendriticv())
if (syn<1) {
	somarawvec.play(&somarawv,vecdt)
	dendrawvec.play(&dendrawv,vecdt)
}

if (writeout>0) {
	somasimvec.record(&dend1[17].v(0.5))
	dendsimvec.record(&dend1[134].v(0.01))
}

/* send stim, delay, duration, tmax, dt */
if (long>0) {
//	tstop=250
	somastep_cc(-0.05, 51.2, 201.2, tstop, 0.25)
/*	dendstep_cc(-0.06, 51.2, 201.2, tstop, 0.2) */
//	graphItem.size(0,tstop,-82,-78)
}
if (short>0) {
	tstop=100
	somastep_cc(-2.0, 5.06, 1.008, 100, 0.1)
	graphItem.size(0,tstop,-82,-78)
}

if (syn>0) {
	tstop=100
	print "simulating synaptics"
	syn_cc2(0.5, 0.001, 0.3, 3, 0, 5, tstop, 0.1)
	/* send location, gmax (mS), tau0, tau1, erev, delay, tmax, dt */
	graphItem.size(0,tstop,somaticv()-0.5,dendriticv()+maxvdend)
}

if (writeout>0) {
	somaoutname = "ri22lng_sfb.sim"
	dendoutname = "ri22lng_dfb.sim"
	write_data()
}

if (syn<1) {
	rn=abs(ssvsoma/elecstim.amp)
	printf("Input resistance = %f Mohms\n",rn)
}
printf("Max. voltage change at somatic electrode = %f mV\n\n",maxvsoma)
printf("Max. voltage change at dendritic electrode = %f mV\n\n",maxvdend)
printf("Attenuation = %f \n\n",maxvdend/maxvsoma)
printf("MS error soma = %f \n\n",mserrsoma)
printf("MS error dend = %f \n\n",mserrdend)
printf("sag ratio = %f \n", ssvsoma/maxvsoma)
wopen()

print"DONE\n"