Drosophila 3rd instar larval aCC motoneuron (Gunay et al. 2015)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:152028
Single compartmental, ball-and-stick models implemented in XPP and full morphological model in Neuron. Paper has been submitted and correlates anatomical properties with electrophysiological recordings from these hard-to-access neurons. For instance we make predictions about location of the spike initiation zone, channel distributions, and synaptic input parameters.
Reference:
1 . Günay C, Sieling FH, Dharmar L, Lin WH, Wolfram V, Marley R, Baines RA, Prinz AA (2015) Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified Drosophila motoneuron. PLoS Comput Biol 11:e1004189 [PubMed]
Citations  Citation Browser
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: Drosophila;
Cell Type(s):
Channel(s): I Na,p; I Na,t; I A; I K;
Gap Junctions:
Receptor(s): Cholinergic Receptors;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; XPP; MATLAB;
Model Concept(s):
Implementer(s): Gunay, Cengiz [cgunay at emory.edu]; Sieling, Fred [fred.sieling at gmail.com]; Prinz, Astrid [astrid.prinz at emory.edu];
Search NeuronDB for information about:  Cholinergic Receptors; I Na,p; I Na,t; I A; I K;
/
Gunay_etal_2014
neuron-model
aCC-L3-neuron.hoc
aCC-L3-neuron+electrode.xml
aCC-L3-neuron-swc.hoc
calc-impedance.hoc
chan-DmKA-Marley.hoc
chan-DmKdr-Marley.hoc
chan-DmNaP-DmNav10.hoc
chan-DmNaT-ODowd.hoc
collapse-neuron-tree.hoc
current-inj-50pA-read-mV_dt_0.025ms.bin
data-axon-tail2-axon-50um-vc-noKdr-long-back-85mV-Na_4_lines_dt_0.025000ms.bin
data-axon-tail2-axon-70um-vc-noKdr-long-back-85mV-Na_4_lines_dt_0.025000ms.bin
data-axon-tail2-axon-70um-vc-noKdr-long-back-85mV-Na-5xNaP_4_lines_dt_0.025000ms.bin
data-axon-tail2-axon-70um-vc-noKdr-long-back-85mV-Na-5xNaT_4_lines_dt_0.025000ms.bin
data-axon-tail2-axon-70um-vc-noKdr-long-back-85mV-passive_4_lines_dt_0.025000ms.bin
data-axon-tail2-chans-axon_11_lines_dt_0.025000ms.bin
data-axon-tail2-chans-axon-last_11_lines_dt_0.025000ms.bin
data-axon-tail2-chans-botdend_11_lines_dt_0.025000ms.bin
data-axon-tail2-chans-ext-axon-70um_11_lines_dt_0.025000ms.bin
data-axon-tail2-chans-in-all_11_lines_dt_0.025000ms.bin
data-i-syn-10syns-20-EPSCs-10x-10ms-VC-60mV_6_lines_dt_0.025000ms.bin
data-i-syn-4dends-50-EPSCs-10x-10ms-VC-60mV_5_lines_dt_0.025000ms.bin
data-i-vclamp-syn-dend-513-180-EPSCs-10x-1ms-saturating_2_lines_dt_0.025000ms.bin
data-syn-dend-357_2_lines_dt_0.025000ms.bin
data-syn-dend-513_2_lines_dt_0.025000ms.bin
data-syn-dend-520_2_lines_dt_0.025000ms.bin
data-syn-dend-685_2_lines_dt_0.025000ms.bin
data-v-syn-10dends-20-EPSCs-10x-10ms-noVC_6_lines_dt_0.025000ms.bin
data-v-syn-4dends-50-EPSCs-10x-10ms-noVC_6_lines_dt_0.025000ms.bin
data-v-syn-dend-513-180-EPSCs-10x-1ms-saturating-noVC_5_lines_dt_0.025000ms.bin
data-v-syn-dend-685-AP_3_lines_dt_0.025000ms.bin
exp-axon-tail2.ses
exp-axon-tail2-chans-axon.ses
exp-axon-tail2-chans-axon-last.ses
exp-axon-tail2-chans-botdend.ses
exp-axon-tail2-chans-ext-axon-50um-onlyNa.ses
exp-axon-tail2-chans-ext-axon-70um.ses
exp-axon-tail2-chans-ext-axon-70um-10alphasynapses.ses
exp-axon-tail2-chans-ext-axon-70um-10x-mimic-sustained.ses
exp-axon-tail2-chans-ext-axon-70um-10x-mimic-sustained-random.ses
exp-axon-tail2-chans-ext-axon-70um-mimic-synapses.ses
exp-axon-tail2-chans-ext-axon-70um-mimic-synapses-sustained-currents.ses
exp-axon-tail2-chans-ext-axon-70um-mimic-synapses-v-change.ses
exp-axon-tail2-chans-ext-axon-70um-onlyNa.ses
exp-axon-tail2-chans-ext-axon-70um-tomasz.ses
exp-axon-tail2-chans-in-all.ses
figures.m
fitfuncs.hoc
graph-i-vc-ext-axon.ses
iclamp-50pA.ses
IClamp-steps.ses
inc-first.ses
lincir-vclamp.hoc
lincir-vclamp.ses
NaP_NaT_data.csv
neuron-CB.ses
neuron-CB+electrode.hoc
neuron-CB-act-electrode-embed-IClamp.ses
neuron-CB-ext-axon.ses
neuron-CB-ext-axon-2pieces.ses
neuron-CB-ext-axon-2pieces-chans-axon.ses
neuron-CB-ext-axon-2pieces-chans-axon-last.ses
neuron-CB-ext-axon-2pieces-chans-botdend.ses
neuron-CB-ext-axon-2pieces-chans-ext-axon-50um-onlyNa.ses
neuron-CB-ext-axon-2pieces-chans-ext-axon-70um.ses
neuron-CB-ext-axon-2pieces-chans-ext-axon-70um-10alphasynapses.ses *
neuron-CB-ext-axon-2pieces-chans-ext-axon-70um-10x-mimic-sustained.ses *
neuron-CB-ext-axon-2pieces-chans-ext-axon-70um-mimic-synapses.ses *
neuron-CB-ext-axon-2pieces-chans-ext-axon-70um-mimic-synapses-v-change.ses *
neuron-CB-ext-axon-2pieces-chans-ext-axon-70um-onlyNa.ses
neuron-CB-ext-axon-2pieces-chans-in-all.ses
neuron-CB-pas-electrode-embed.ses
neuron-CB-pas-electrode-embed-fit-pas.ses
neuron-CB-pas-electrode-embed-fit-pas-VClamp.ses
neuron-CB-pas-electrode-embed-IClamp.ses
neuron-CB-pas-electrode-embed-test-axon-hh-chans.ses
neuron-Import3D-CellBuilder.ses
neuron-NL-CellBuilder.ses
neuron-NL-CellBuilder-pas.ses
neuron-NL-CellBuilder-pas-electrode.ses
neuron-NL-CellBuilder-pas-Na.ses
neuron-PointProcessMgr-ext-axon-2pieces-chans-ext-axon-70um-10alphasynapses.ses
nrn-fit-cap-02_dt_0.025000ms_dy_1e-9nA.bin
shape-plot.ses
SkeletonTree_ORR_aCC_48h1_NL.hoc
soma-vclamp-testbed.ses
stats.hoc
vclamp_-85_to_-25mV.ses
vclamp_soma_-60mV.ses
vclamp_soma_-60mV_syn1234.ses
vclamp_soma_-60mV_syni.ses
vclamp-family.ses
v-graph.ses
v-graph-bigger.ses
v-graph-bigger-axon-2pieces.ses
                            
{ ion_register("na", 1) }
objref ks, ksvec, ksgate, ksstates, kstransitions, tobj
{
  ksvec = new Vector()
  ksstates = new List()
  kstransitions = new List()
  ks = new KSChan(0)
}
// DmNaT Density Mechanism
// na ohmic ion current
//     ina (mA/cm2) = g_DmNaT * (v - ena)
{
  ks.name("DmNaT")
  ks.ion("na")
  ks.iv_type(0)
  ks.gmax(0.0012)
  ks.erev(0)
}
// g = gmax * m^3 * h
// m' = (minf - m)/mtau
{
  ksstates.append(ks.add_hhstate("m"))
  ksgate = ksstates.object(0).gate
  ksgate.power(3)
  kstransitions.append(ks.trans(ksstates.object(0), ksstates.object(0)))
}
{
  tobj = kstransitions.object(0)
  tobj.type(1)
  tobj.set_f(0, 4, ksvec.c.append(1, -0.1121, -29.13))
  }
  tobj.set_f(1, 7, ksvec.c.resize(1501), -100, 50)
  for i=0, 1500 {tobj.parm(1).x[i] = fscan()}
 3.5606 3.5606 3.5606 3.5606 3.5606 3.5606 3.5606 3.5606 3.5606 3.5606
 3.5606 3.5606 3.5605 3.5605 3.5605 3.5605 3.5605 3.5605 3.5605 3.5605
 3.5605 3.5605 3.5605 3.5605 3.5604 3.5604 3.5604 3.5604 3.5604 3.5604
 3.5604 3.5604 3.5604 3.5604 3.5603 3.5603 3.5603 3.5603 3.5603 3.5603
 3.5603 3.5603 3.5603 3.5602 3.5602 3.5602 3.5602 3.5602 3.5602 3.5602
 3.5601 3.5601 3.5601 3.5601 3.5601 3.5601 3.5601 3.56 3.56 3.56
 3.56 3.56 3.56 3.5599 3.5599 3.5599 3.5599 3.5599 3.5599 3.5598
 3.5598 3.5598 3.5598 3.5598 3.5597 3.5597 3.5597 3.5597 3.5596 3.5596
 3.5596 3.5596 3.5595 3.5595 3.5595 3.5595 3.5594 3.5594 3.5594 3.5594
 3.5593 3.5593 3.5593 3.5593 3.5592 3.5592 3.5592 3.5591 3.5591 3.5591
 3.559 3.559 3.559 3.5589 3.5589 3.5589 3.5588 3.5588 3.5588 3.5587
 3.5587 3.5586 3.5586 3.5586 3.5585 3.5585 3.5584 3.5584 3.5583 3.5583
 3.5583 3.5582 3.5582 3.5581 3.5581 3.558 3.558 3.5579 3.5579 3.5578
 3.5578 3.5577 3.5576 3.5576 3.5575 3.5575 3.5574 3.5574 3.5573 3.5572
 3.5572 3.5571 3.557 3.557 3.5569 3.5568 3.5568 3.5567 3.5566 3.5565
 3.5565 3.5564 3.5563 3.5562 3.5562 3.5561 3.556 3.5559 3.5558 3.5557
 3.5557 3.5556 3.5555 3.5554 3.5553 3.5552 3.5551 3.555 3.5549 3.5548
 3.5547 3.5546 3.5545 3.5544 3.5542 3.5541 3.554 3.5539 3.5538 3.5537
 3.5535 3.5534 3.5533 3.5531 3.553 3.5529 3.5527 3.5526 3.5525 3.5523
 3.5522 3.552 3.5519 3.5517 3.5516 3.5514 3.5512 3.5511 3.5509 3.5507
 3.5506 3.5504 3.5502 3.55 3.5499 3.5497 3.5495 3.5493 3.5491 3.5489
 3.5487 3.5485 3.5483 3.5481 3.5478 3.5476 3.5474 3.5472 3.5469 3.5467
 3.5465 3.5462 3.546 3.5457 3.5455 3.5452 3.5449 3.5447 3.5444 3.5441
 3.5438 3.5435 3.5432 3.5429 3.5426 3.5423 3.542 3.5417 3.5414 3.541
 3.5407 3.5404 3.54 3.5397 3.5393 3.539 3.5386 3.5382 3.5378 3.5374
 3.537 3.5366 3.5362 3.5358 3.5354 3.535 3.5345 3.5341 3.5336 3.5332
 3.5327 3.5322 3.5318 3.5313 3.5308 3.5303 3.5298 3.5292 3.5287 3.5282
 3.5276 3.5271 3.5265 3.5259 3.5253 3.5247 3.5241 3.5235 3.5229 3.5223
 3.5216 3.521 3.5203 3.5196 3.5189 3.5182 3.5175 3.5168 3.516 3.5153
 3.5145 3.5138 3.513 3.5122 3.5114 3.5105 3.5097 3.5089 3.508 3.5071
 3.5062 3.5053 3.5044 3.5034 3.5025 3.5015 3.5005 3.4995 3.4985 3.4975
 3.4964 3.4954 3.4943 3.4932 3.4921 3.4909 3.4898 3.4886 3.4874 3.4862
 3.4849 3.4837 3.4824 3.4811 3.4798 3.4785 3.4771 3.4757 3.4743 3.4729
 3.4715 3.47 3.4685 3.467 3.4654 3.4639 3.4623 3.4607 3.459 3.4574
 3.4557 3.4539 3.4522 3.4504 3.4486 3.4468 3.4449 3.443 3.4411 3.4392
 3.4372 3.4352 3.4331 3.4311 3.4289 3.4268 3.4246 3.4224 3.4202 3.4179
 3.4156 3.4133 3.4109 3.4085 3.406 3.4035 3.401 3.3984 3.3958 3.3931
 3.3904 3.3877 3.3849 3.3821 3.3793 3.3764 3.3734 3.3704 3.3674 3.3643
 3.3612 3.358 3.3548 3.3516 3.3482 3.3449 3.3415 3.338 3.3345 3.3309
 3.3273 3.3237 3.3199 3.3162 3.3123 3.3084 3.3045 3.3005 3.2964 3.2923
 3.2882 3.2839 3.2796 3.2753 3.2709 3.2664 3.2619 3.2573 3.2526 3.2479
 3.2431 3.2382 3.2333 3.2283 3.2233 3.2181 3.213 3.2077 3.2024 3.1969
 3.1915 3.1859 3.1803 3.1746 3.1688 3.163 3.1571 3.1511 3.145 3.1388
 3.1326 3.1263 3.1199 3.1134 3.1069 3.1002 3.0935 3.0867 3.0799 3.0729
 3.0659 3.0587 3.0515 3.0442 3.0368 3.0294 3.0218 3.0142 3.0064 2.9986
 2.9907 2.9827 2.9746 2.9664 2.9582 2.9498 2.9414 2.9328 2.9242 2.9155
 2.9067 2.8978 2.8888 2.8797 2.8705 2.8612 2.8519 2.8424 2.8329 2.8232
 2.8135 2.8037 2.7938 2.7838 2.7736 2.7635 2.7532 2.7428 2.7323 2.7218
 2.7111 2.7004 2.6895 2.6786 2.6676 2.6565 2.6453 2.6341 2.6227 2.6113
 2.5997 2.5881 2.5764 2.5646 2.5528 2.5408 2.5288 2.5167 2.5045 2.4922
 2.4798 2.4674 2.4549 2.4423 2.4297 2.417 2.4042 2.3913 2.3784 2.3654
 2.3523 2.3392 2.326 2.3127 2.2994 2.286 2.2726 2.2591 2.2456 2.232
 2.2183 2.2046 2.1909 2.1771 2.1633 2.1494 2.1355 2.1215 2.1075 2.0935
 2.0794 2.0653 2.0512 2.037 2.0228 2.0086 1.9944 1.9801 1.9658 1.9515
 1.9372 1.9229 1.9086 1.8942 1.8799 1.8655 1.8512 1.8368 1.8225 1.8081
 1.7938 1.7794 1.7651 1.7508 1.7365 1.7222 1.7079 1.6936 1.6794 1.6652
 1.651 1.6368 1.6227 1.6086 1.5945 1.5805 1.5665 1.5525 1.5386 1.5247
 1.5109 1.4971 1.4834 1.4697 1.456 1.4424 1.4289 1.4154 1.402 1.3886
 1.3753 1.362 1.3488 1.3357 1.3226 1.3096 1.2967 1.2838 1.271 1.2583
 1.2457 1.2331 1.2206 1.2082 1.1958 1.1835 1.1713 1.1592 1.1472 1.1352
 1.1234 1.1116 1.0999 1.0883 1.0767 1.0653 1.0539 1.0427 1.0315 1.0204
 1.0094 0.99845 0.98762 0.97688 0.96623 0.95567 0.94521 0.93483 0.92455 0.91435
 0.90425 0.89424 0.88432 0.8745 0.86476 0.85512 0.84558 0.83612 0.82676 0.81749
 0.80831 0.79922 0.79023 0.78132 0.77251 0.76379 0.75516 0.74663 0.73818 0.72982
 0.72156 0.71338 0.70529 0.6973 0.68939 0.68157 0.67384 0.66619 0.65863 0.65116
 0.64378 0.63648 0.62927 0.62214 0.6151 0.60814 0.60126 0.59446 0.58775 0.58112
 0.57457 0.5681 0.56172 0.55541 0.54917 0.54302 0.53695 0.53095 0.52503 0.51918
 0.51341 0.50771 0.50209 0.49653 0.49106 0.48565 0.48031 0.47505 0.46985 0.46473
 0.45967 0.45468 0.44975 0.4449 0.44011 0.43538 0.43072 0.42612 0.42159 0.41711
 0.4127 0.40835 0.40406 0.39983 0.39566 0.39155 0.3875 0.3835 0.37956 0.37567
 0.37184 0.36807 0.36435 0.36068 0.35706 0.3535 0.34999 0.34653 0.34312 0.33975
 0.33644 0.33318 0.32996 0.32679 0.32367 0.32059 0.31756 0.31457 0.31162 0.30873
 0.30587 0.30305 0.30028 0.29755 0.29486 0.29221 0.2896 0.28703 0.2845 0.282
 0.27955 0.27713 0.27475 0.2724 0.27009 0.26781 0.26557 0.26337 0.26119 0.25905
 0.25695 0.25487 0.25283 0.25082 0.24884 0.24689 0.24497 0.24308 0.24122 0.23938
 0.23758 0.2358 0.23406 0.23234 0.23064 0.22897 0.22733 0.22572 0.22413 0.22256
 0.22102 0.2195 0.21801 0.21654 0.21509 0.21367 0.21227 0.21089 0.20953 0.20819
 0.20688 0.20558 0.20431 0.20306 0.20182 0.20061 0.19941 0.19824 0.19708 0.19594
 0.19482 0.19372 0.19263 0.19156 0.19051 0.18948 0.18846 0.18746 0.18647 0.18551
 0.18455 0.18361 0.18269 0.18178 0.18089 0.18001 0.17914 0.17829 0.17745 0.17663
 0.17581 0.17502 0.17423 0.17346 0.1727 0.17195 0.17121 0.17049 0.16978 0.16908
 0.16839 0.16771 0.16704 0.16639 0.16574 0.16511 0.16448 0.16387 0.16326 0.16267
 0.16208 0.1615 0.16094 0.16038 0.15983 0.15929 0.15876 0.15824 0.15773 0.15722
 0.15672 0.15624 0.15576 0.15528 0.15482 0.15436 0.15391 0.15347 0.15303 0.1526
 0.15218 0.15177 0.15136 0.15096 0.15056 0.15017 0.14979 0.14942 0.14905 0.14868
 0.14833 0.14798 0.14763 0.14729 0.14696 0.14663 0.1463 0.14598 0.14567 0.14536
 0.14506 0.14476 0.14447 0.14418 0.1439 0.14362 0.14334 0.14307 0.14281 0.14255
 0.14229 0.14204 0.14179 0.14155 0.14131 0.14107 0.14084 0.14061 0.14038 0.14016
 0.13995 0.13973 0.13952 0.13931 0.13911 0.13891 0.13871 0.13852 0.13833 0.13814
 0.13796 0.13778 0.1376 0.13742 0.13725 0.13708 0.13692 0.13675 0.13659 0.13643
 0.13628 0.13612 0.13597 0.13582 0.13568 0.13553 0.13539 0.13525 0.13512 0.13498
 0.13485 0.13472 0.13459 0.13447 0.13434 0.13422 0.1341 0.13399 0.13387 0.13376
 0.13364 0.13353 0.13343 0.13332 0.13321 0.13311 0.13301 0.13291 0.13281 0.13272
 0.13262 0.13253 0.13244 0.13235 0.13226 0.13217 0.13209 0.132 0.13192 0.13184
 0.13176 0.13168 0.1316 0.13153 0.13145 0.13138 0.1313 0.13123 0.13116 0.13109
 0.13103 0.13096 0.13089 0.13083 0.13077 0.1307 0.13064 0.13058 0.13052 0.13046
 0.13041 0.13035 0.13029 0.13024 0.13019 0.13013 0.13008 0.13003 0.12998 0.12993
 0.12988 0.12983 0.12979 0.12974 0.1297 0.12965 0.12961 0.12956 0.12952 0.12948
 0.12944 0.1294 0.12936 0.12932 0.12928 0.12924 0.12921 0.12917 0.12913 0.1291
 0.12906 0.12903 0.129 0.12896 0.12893 0.1289 0.12887 0.12884 0.12881 0.12878
 0.12875 0.12872 0.12869 0.12866 0.12863 0.12861 0.12858 0.12855 0.12853 0.1285
 0.12848 0.12845 0.12843 0.12841 0.12838 0.12836 0.12834 0.12831 0.12829 0.12827
 0.12825 0.12823 0.12821 0.12819 0.12817 0.12815 0.12813 0.12811 0.12809 0.12808
 0.12806 0.12804 0.12802 0.12801 0.12799 0.12797 0.12796 0.12794 0.12793 0.12791
 0.12789 0.12788 0.12787 0.12785 0.12784 0.12782 0.12781 0.1278 0.12778 0.12777
 0.12776 0.12774 0.12773 0.12772 0.12771 0.1277 0.12768 0.12767 0.12766 0.12765
 0.12764 0.12763 0.12762 0.12761 0.1276 0.12759 0.12758 0.12757 0.12756 0.12755
 0.12754 0.12753 0.12752 0.12752 0.12751 0.1275 0.12749 0.12748 0.12747 0.12747
 0.12746 0.12745 0.12744 0.12744 0.12743 0.12742 0.12741 0.12741 0.1274 0.12739
 0.12739 0.12738 0.12738 0.12737 0.12736 0.12736 0.12735 0.12734 0.12734 0.12733
 0.12733 0.12732 0.12732 0.12731 0.12731 0.1273 0.1273 0.12729 0.12729 0.12728
 0.12728 0.12727 0.12727 0.12726 0.12726 0.12726 0.12725 0.12725 0.12724 0.12724
 0.12723 0.12723 0.12723 0.12722 0.12722 0.12722 0.12721 0.12721 0.12721 0.1272
 0.1272 0.1272 0.12719 0.12719 0.12719 0.12718 0.12718 0.12718 0.12717 0.12717
 0.12717 0.12717 0.12716 0.12716 0.12716 0.12715 0.12715 0.12715 0.12715 0.12714
 0.12714 0.12714 0.12714 0.12714 0.12713 0.12713 0.12713 0.12713 0.12712 0.12712
 0.12712 0.12712 0.12712 0.12711 0.12711 0.12711 0.12711 0.12711 0.12711 0.1271
 0.1271 0.1271 0.1271 0.1271 0.1271 0.12709 0.12709 0.12709 0.12709 0.12709
 0.12709 0.12708 0.12708 0.12708 0.12708 0.12708 0.12708 0.12708 0.12708 0.12707
 0.12707 0.12707 0.12707 0.12707 0.12707 0.12707 0.12707 0.12706 0.12706 0.12706
 0.12706 0.12706 0.12706 0.12706 0.12706 0.12706 0.12706 0.12705 0.12705 0.12705
 0.12705 0.12705 0.12705 0.12705 0.12705 0.12705 0.12705 0.12705 0.12705 0.12704
 0.12704 0.12704 0.12704 0.12704 0.12704 0.12704 0.12704 0.12704 0.12704 0.12704
 0.12704 0.12704 0.12704 0.12704 0.12703 0.12703 0.12703 0.12703 0.12703 0.12703
 0.12703 0.12703 0.12703 0.12703 0.12703 0.12703 0.12703 0.12703 0.12703 0.12703
 0.12703 0.12703 0.12703 0.12703 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702
 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702
 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702 0.12702
 0.12702 0.12702 0.12702 0.12702 0.12702 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701 0.12701
 0.12701 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127 0.127
 0.127
  {}
{ ksstates.remove_all  kstransitions.remove_all }
// h' = (hinf - h)/htau
{
  ksstates.append(ks.add_hhstate("h"))
  ksgate = ksstates.object(0).gate
  ksgate.power(1)
  kstransitions.append(ks.trans(ksstates.object(0), ksstates.object(0)))
}
{
  tobj = kstransitions.object(0)
  tobj.type(1)
  tobj.set_f(0, 4, ksvec.c.append(1, 0.2, -47))
  }
  tobj.set_f(1, 7, ksvec.c.resize(1501), -100, 50)
  for i=0, 1500 {tobj.parm(1).x[i] = fscan()}
 1956.6 1938 1919.6 1901.4 1883.3 1865.4 1847.7 1830.1 1812.7 1795.5
 1778.4 1761.5 1744.8 1728.2 1711.8 1695.5 1679.4 1663.4 1647.6 1632
 1616.5 1601.1 1585.9 1570.8 1555.9 1541.1 1526.5 1511.9 1497.6 1483.3
 1469.3 1455.3 1441.5 1427.8 1414.2 1400.8 1387.4 1374.3 1361.2 1348.3
 1335.4 1322.8 1310.2 1297.7 1285.4 1273.2 1261.1 1249.1 1237.2 1225.5
 1213.8 1202.3 1190.9 1179.6 1168.3 1157.2 1146.2 1135.4 1124.6 1113.9
 1103.3 1092.8 1082.4 1072.1 1062 1051.9 1041.9 1032 1022.2 1012.4
 1002.8 993.3 983.86 974.51 965.25 956.08 946.99 938 929.08 920.26
 911.51 902.85 894.27 885.77 877.36 869.02 860.76 852.59 844.48 836.46
 828.51 820.64 812.84 805.12 797.47 789.89 782.39 774.95 767.59 760.3
 753.08 745.92 738.83 731.81 724.86 717.97 711.15 704.4 697.7 691.07
 684.51 678.01 671.56 665.18 658.86 652.6 646.4 640.26 634.18 628.16
 622.19 616.28 610.42 604.62 598.88 593.19 587.56 581.97 576.45 570.97
 565.55 560.17 554.85 549.58 544.36 539.19 534.07 528.99 523.97 518.99
 514.06 509.18 504.34 499.55 494.81 490.11 485.45 480.84 476.27 471.75
 467.27 462.83 458.43 454.08 449.77 445.49 441.26 437.07 432.92 428.81
 424.74 420.7 416.71 412.75 408.83 404.95 401.1 397.29 393.52 389.78
 386.08 382.41 378.78 375.18 371.62 368.09 364.6 361.13 357.7 354.31
 350.94 347.61 344.31 341.04 337.8 334.59 331.42 328.27 325.15 322.07
 319.01 315.98 312.98 310.01 307.06 304.15 301.26 298.4 295.57 292.76
 289.98 287.23 284.5 281.8 279.13 276.48 273.85 271.25 268.68 266.13
 263.6 261.1 258.62 256.16 253.73 251.32 248.94 246.58 244.24 241.92
 239.62 237.35 235.09 232.86 230.65 228.46 226.3 224.15 222.02 219.91
 217.83 215.76 213.71 211.68 209.67 207.69 205.71 203.76 201.83 199.91
 198.02 196.14 194.28 192.43 190.61 188.8 187.01 185.23 183.48 181.74
 180.01 178.3 176.61 174.94 173.28 171.63 170.01 168.39 166.8 165.21
 163.65 162.1 160.56 159.03 157.53 156.03 154.55 153.09 151.64 150.2
 148.77 147.36 145.97 144.58 143.21 141.85 140.51 139.18 137.86 136.55
 135.25 133.97 132.7 131.44 130.2 128.96 127.74 126.53 125.33 124.14
 122.97 121.8 120.65 119.5 118.37 117.25 116.14 115.04 113.95 112.87
 111.8 110.74 109.69 108.65 107.62 106.6 105.59 104.59 103.6 102.62
 101.65 100.68 99.73 98.786 97.85 96.923 96.006 95.096 94.196 93.304
 92.42 91.545 90.679 89.82 88.97 88.127 87.293 86.467 85.648 84.837
 84.034 83.239 82.451 81.671 80.898 80.132 79.374 78.623 77.879 77.142
 76.412 75.69 74.973 74.264 73.562 72.866 72.177 71.494 70.818 70.148
 69.485 68.828 68.177 67.532 66.894 66.261 65.635 65.014 64.4 63.791
 63.188 62.591 61.999 61.413 60.833 60.258 59.689 59.125 58.566 58.013
 57.465 56.922 56.384 55.852 55.324 54.802 54.284 53.772 53.264 52.761
 52.263 51.77 51.281 50.797 50.318 49.843 49.372 48.906 48.445 47.988
 47.535 47.087 46.643 46.203 45.767 45.335 44.908 44.484 44.065 43.649
 43.238 42.83 42.427 42.027 41.631 41.238 40.85 40.465 40.084 39.706
 39.332 38.962 38.595 38.231 37.871 37.515 37.162 36.812 36.465 36.122
 35.782 35.445 35.112 34.782 34.454 34.13 33.809 33.491 33.176 32.864
 32.555 32.249 31.946 31.646 31.349 31.054 30.762 30.473 30.187 29.904
 29.623 29.345 29.069 28.796 28.526 28.258 27.993 27.73 27.47 27.212
 26.957 26.704 26.454 26.206 25.96 25.717 25.476 25.237 25.001 24.766
 24.534 24.305 24.077 23.851 23.628 23.407 23.188 22.971 22.756 22.543
 22.332 22.123 21.917 21.712 21.509 21.308 21.108 20.911 20.716 20.522
 20.331 20.141 19.953 19.767 19.582 19.399 19.218 19.039 18.862 18.686
 18.512 18.339 18.168 17.999 17.831 17.665 17.501 17.338 17.176 17.016
 16.858 16.701 16.546 16.392 16.24 16.089 15.939 15.791 15.644 15.499
 15.355 15.213 15.072 14.932 14.793 14.656 14.52 14.386 14.252 14.12
 13.989 13.86 13.731 13.604 13.478 13.354 13.23 13.108 12.987 12.867
 12.748 12.63 12.513 12.398 12.283 12.17 12.058 11.947 11.837 11.727
 11.619 11.512 11.406 11.301 11.197 11.094 10.992 10.891 10.791 10.692
 10.594 10.496 10.4 10.305 10.21 10.117 10.024 9.9319 9.8409 9.7508
 9.6616 9.5731 9.4856 9.3988 9.3129 9.2278 9.1435 9.06 8.9773 8.8954
 8.8143 8.7339 8.6543 8.5755 8.4974 8.42 8.3434 8.2675 8.1923 8.1179
 8.0441 7.9711 7.8988 7.8271 7.7561 7.6858 7.6162 7.5472 7.4789 7.4112
 7.3442 7.2778 7.212 7.1469 7.0824 7.0185 6.9552 6.8925 6.8304 6.7689
 6.708 6.6476 6.5879 6.5287 6.47 6.412 6.3544 6.2975 6.241 6.1851
 6.1297 6.0749 6.0206 5.9668 5.9135 5.8607 5.8084 5.7566 5.7053 5.6545
 5.6042 5.5543 5.5049 5.456 5.4076 5.3596 5.3121 5.265 5.2184 5.1722
 5.1265 5.0812 5.0363 4.9918 4.9478 4.9042 4.861 4.8182 4.7758 4.7339
 4.6923 4.6511 4.6103 4.5699 4.5299 4.4903 4.451 4.4121 4.3736 4.3354
 4.2976 4.2602 4.2231 4.1864 4.15 4.114 4.0783 4.043 4.008 3.9733
 3.939 3.9049 3.8712 3.8379 3.8048 3.7721 3.7396 3.7075 3.6757 3.6442
 3.6129 3.582 3.5514 3.5211 3.491 3.4612 3.4318 3.4026 3.3736 3.345
 3.3166 3.2885 3.2607 3.2331 3.2058 3.1788 3.152 3.1254 3.0991 3.0731
 3.0473 3.0218 2.9965 2.9714 2.9466 2.922 2.8976 2.8735 2.8496 2.826
 2.8025 2.7793 2.7563 2.7335 2.711 2.6886 2.6665 2.6446 2.6228 2.6013
 2.58 2.5589 2.538 2.5173 2.4968 2.4765 2.4564 2.4364 2.4167 2.3972
 2.3778 2.3586 2.3396 2.3208 2.3022 2.2837 2.2654 2.2473 2.2294 2.2116
 2.194 2.1766 2.1593 2.1422 2.1252 2.1085 2.0918 2.0754 2.0591 2.0429
 2.0269 2.0111 1.9954 1.9798 1.9644 1.9492 1.9341 1.9191 1.9043 1.8896
 1.8751 1.8607 1.8464 1.8323 1.8183 1.8044 1.7907 1.7771 1.7636 1.7503
 1.7371 1.724 1.711 1.6982 1.6855 1.6729 1.6604 1.648 1.6358 1.6236
 1.6116 1.5997 1.588 1.5763 1.5647 1.5533 1.5419 1.5307 1.5196 1.5085
 1.4976 1.4868 1.4761 1.4655 1.455 1.4446 1.4343 1.424 1.4139 1.4039
 1.394 1.3842 1.3744 1.3648 1.3552 1.3458 1.3364 1.3271 1.3179 1.3088
 1.2998 1.2909 1.282 1.2733 1.2646 1.256 1.2475 1.239 1.2307 1.2224
 1.2142 1.2061 1.198 1.1901 1.1822 1.1744 1.1666 1.159 1.1514 1.1438
 1.1364 1.129 1.1217 1.1145 1.1073 1.1002 1.0931 1.0862 1.0793 1.0724
 1.0657 1.059 1.0523 1.0457 1.0392 1.0328 1.0264 1.02 1.0138 1.0075
 1.0014 0.99529 0.98925 0.98327 0.97734 0.97147 0.96566 0.95991 0.9542 0.94855
 0.94296 0.93742 0.93193 0.92649 0.92111 0.91577 0.91049 0.90526 0.90008 0.89494
 0.88986 0.88482 0.87983 0.87489 0.87 0.86515 0.86035 0.85559 0.85088 0.84621
 0.84159 0.83701 0.83248 0.82799 0.82354 0.81913 0.81477 0.81045 0.80616 0.80192
 0.79772 0.79356 0.78944 0.78536 0.78132 0.77731 0.77334 0.76941 0.76552 0.76167
 0.75785 0.75407 0.75032 0.74661 0.74294 0.7393 0.73569 0.73212 0.72858 0.72508
 0.72161 0.71817 0.71477 0.71139 0.70805 0.70475 0.70147 0.69822 0.69501 0.69182
 0.68867 0.68555 0.68245 0.67939 0.67635 0.67334 0.67036 0.66741 0.66449 0.6616
 0.65873 0.65589 0.65308 0.65029 0.64753 0.6448 0.64209 0.63941 0.63675 0.63412
 0.63152 0.62894 0.62638 0.62385 0.62134 0.61886 0.6164 0.61396 0.61154 0.60915
 0.60679 0.60444 0.60212 0.59981 0.59753 0.59528 0.59304 0.59083 0.58863 0.58646
 0.58431 0.58217 0.58006 0.57797 0.5759 0.57385 0.57181 0.5698 0.5678 0.56583
 0.56387 0.56194 0.56002 0.55811 0.55623 0.55437 0.55252 0.55069 0.54888 0.54708
 0.5453 0.54354 0.5418 0.54007 0.53836 0.53666 0.53498 0.53332 0.53167 0.53004
 0.52842 0.52682 0.52524 0.52367 0.52211 0.52057 0.51904 0.51753 0.51603 0.51455
 0.51308 0.51163 0.51018 0.50876 0.50734 0.50594 0.50455 0.50318 0.50182 0.50047
 0.49914 0.49781 0.4965 0.49521 0.49392 0.49265 0.49139 0.49014 0.4889 0.48768
 0.48646 0.48526 0.48407 0.48289 0.48172 0.48056 0.47942 0.47828 0.47716 0.47605
 0.47494 0.47385 0.47277 0.4717 0.47063 0.46958 0.46854 0.46751 0.46649 0.46547
 0.46447 0.46348 0.4625 0.46152 0.46056 0.4596 0.45865 0.45772 0.45679 0.45587
 0.45496 0.45405 0.45316 0.45227 0.4514 0.45053 0.44967 0.44881 0.44797 0.44713
 0.44631 0.44549 0.44467 0.44387 0.44307 0.44228 0.4415 0.44072 0.43996 0.4392
 0.43844 0.4377 0.43696 0.43623 0.4355 0.43479 0.43408 0.43337 0.43267 0.43198
 0.4313 0.43062 0.42995 0.42928 0.42863 0.42797 0.42733 0.42669 0.42605 0.42543
 0.4248 0.42419 0.42358 0.42297 0.42237 0.42178 0.42119 0.42061 0.42004 0.41947
 0.4189 0.41834 0.41779 0.41724 0.41669 0.41615 0.41562 0.41509 0.41457 0.41405
 0.41354 0.41303 0.41252 0.41202 0.41153 0.41104 0.41055 0.41007 0.4096 0.40913
 0.40866 0.4082 0.40774 0.40728 0.40683 0.40639 0.40595 0.40551 0.40508 0.40465
 0.40423 0.40381 0.40339 0.40298 0.40257 0.40216 0.40176 0.40137 0.40097 0.40058
 0.4002 0.39982 0.39944 0.39906 0.39869 0.39832 0.39796 0.3976 0.39724 0.39689
 0.39654 0.39619 0.39584 0.3955 0.39517 0.39483 0.3945 0.39417 0.39385 0.39353
 0.39321 0.39289 0.39258 0.39227 0.39196 0.39166 0.39136 0.39106 0.39077 0.39047
 0.39018 0.3899 0.38961 0.38933 0.38905 0.38878 0.3885 0.38823 0.38796 0.3877
 0.38743 0.38717 0.38691 0.38666 0.38641 0.38615 0.38591 0.38566 0.38542 0.38517
 0.38493 0.3847 0.38446 0.38423 0.384 0.38377 0.38355 0.38332 0.3831 0.38288
 0.38266 0.38245 0.38223 0.38202 0.38181 0.38161 0.3814 0.3812 0.381 0.3808
 0.3806 0.3804 0.38021 0.38002 0.37983 0.37964 0.37945 0.37927 0.37908 0.3789
 0.37872 0.37854 0.37837 0.37819 0.37802 0.37785 0.37768 0.37751 0.37735 0.37718
 0.37702 0.37686 0.3767 0.37654 0.37638 0.37622 0.37607 0.37592 0.37577 0.37562
 0.37547 0.37532 0.37517 0.37503 0.37489 0.37475 0.37461 0.37447 0.37433 0.37419
 0.37406 0.37392 0.37379 0.37366 0.37353 0.3734 0.37328 0.37315 0.37302 0.3729
 0.37278 0.37266 0.37254 0.37242 0.3723 0.37218 0.37207 0.37195 0.37184 0.37172
 0.37161 0.3715 0.37139 0.37129 0.37118 0.37107 0.37097 0.37086 0.37076 0.37066
 0.37056 0.37046 0.37036 0.37026 0.37016 0.37006 0.36997 0.36987 0.36978 0.36969
 0.36959 0.3695 0.36941 0.36932 0.36923 0.36915 0.36906 0.36897 0.36889 0.3688
 0.36872 0.36864 0.36856 0.36847 0.36839 0.36831 0.36823 0.36816 0.36808 0.368
 0.36793 0.36785 0.36778 0.3677 0.36763 0.36756 0.36748 0.36741 0.36734 0.36727
 0.3672 0.36714 0.36707 0.367 0.36693 0.36687 0.3668 0.36674 0.36667 0.36661
 0.36655 0.36649 0.36642 0.36636 0.3663 0.36624 0.36618 0.36612 0.36607 0.36601
 0.36595 0.36589 0.36584 0.36578 0.36573 0.36567 0.36562 0.36557 0.36551 0.36546
 0.36541 0.36536 0.36531 0.36526 0.36521 0.36516 0.36511 0.36506 0.36501 0.36496
 0.36492 0.36487 0.36482 0.36478 0.36473 0.36469 0.36464 0.3646 0.36455 0.36451
 0.36447 0.36443 0.36438 0.36434 0.3643 0.36426 0.36422 0.36418 0.36414 0.3641
 0.36406 0.36402 0.36398 0.36395 0.36391 0.36387 0.36384 0.3638 0.36376 0.36373
 0.36369 0.36366 0.36362 0.36359 0.36355 0.36352 0.36349 0.36345 0.36342 0.36339
 0.36336 0.36332 0.36329 0.36326 0.36323 0.3632 0.36317 0.36314 0.36311 0.36308
 0.36305 0.36302 0.36299 0.36296 0.36294 0.36291 0.36288 0.36285 0.36283 0.3628
 0.36277 0.36275 0.36272 0.36269 0.36267 0.36264 0.36262 0.36259 0.36257 0.36254
 0.36252 0.3625 0.36247 0.36245 0.36242 0.3624 0.36238 0.36236 0.36233 0.36231
 0.36229 0.36227 0.36225 0.36223 0.3622 0.36218 0.36216 0.36214 0.36212 0.3621
 0.36208 0.36206 0.36204 0.36202 0.362 0.36198 0.36197 0.36195 0.36193 0.36191
 0.36189 0.36187 0.36186 0.36184 0.36182 0.3618 0.36179 0.36177 0.36175 0.36174
 0.36172 0.3617 0.36169 0.36167 0.36165 0.36164 0.36162 0.36161 0.36159 0.36158
 0.36156 0.36155 0.36153 0.36152 0.3615 0.36149 0.36148 0.36146 0.36145 0.36143
 0.36142 0.36141 0.36139 0.36138 0.36137 0.36135 0.36134 0.36133 0.36132 0.3613
 0.36129 0.36128 0.36127 0.36125 0.36124 0.36123 0.36122 0.36121 0.3612 0.36118
 0.36117
  {}
{ ksstates.remove_all  kstransitions.remove_all }
{objref ks, ksvec, ksgate, ksstates, kstransitions, tobj}