ModelDB is moving. Check out our new site at https://modeldb.science. The corresponding page is https://modeldb.science/129149.

Increased computational accuracy in multi-compartmental cable models (Lindsay et al. 2005)

 Download zip file 
Help downloading and running models
Accession:129149
Compartmental models of dendrites are the most widely used tool for investigating their electrical behaviour. Traditional models assign a single potential to a compartment. This potential is associated with the membrane potential at the centre of the segment represented by the compartment. All input to that segment, independent of its location on the segment, is assumed to act at the centre of the segment with the potential of the compartment. By contrast, the compartmental model introduced in this article assigns a potential to each end of a segment, and takes into account the location of input to a segment on the model solution by partitioning the effect of this input between the axial currents at the proximal and distal boundaries of segments. For a given neuron, the new and traditional approaches to compartmental modelling use the same number of locations at which the membrane potential is to be determined, and lead to ordinary differential equations that are structurally identical. However, the solution achieved by the new approach gives an order of magnitude better accuracy and precision than that achieved by the latter in the presence of point process input.
Reference:
1 . Lindsay AE, Lindsay KA, Rosenberg JR (2005) Increased computational accuracy in multi-compartmental cable models by a novel approach for precise point process localization. J Comput Neurosci 19:21-38 [PubMed]
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):
Channel(s): I Na,t; I K;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; C or C++ program;
Model Concept(s): Methods;
Implementer(s):
Search NeuronDB for information about:  I Na,t; I K;
/
LindsayEtAl2005
readme.txt
03-192.pdf
AnalyseResults.c
BitsAndPieces.c
CellData.dat
CompareSpikeTrain.c
Ed04.tex
ExactSolution.dat
GammaCode
Gen.tex
Gen1.tex
Gen2.tex
Gen3.tex
Gen4.tex
Gen5.tex
Gen6.tex
GenCom.c
GenCom1.c
GenCom2.c
GenComExactSoln.c
GenerateInput.c
GenerateInputText.c
GenRan.ran
GetNodeNumbers.c
Info100.dat
Info20.dat
Info200.dat
Info30.dat
Info300.dat
Info40.dat
Info400.dat
Info50.dat
Info500.dat
Info60.dat
Info70.dat
Info80.dat
Info90.dat
InputCurrents.dat
InputDendrite.dat
JaySpikeTrain.c
JayTest1.dat
JayTest100.dat
KenSpikeTrain.c
KenTest1.dat *
KenTest10.dat
KenTest100.dat *
KenTest10p.dat
KenTest1p.dat *
KenTest2.dat
KenTest2p.dat
KenTest3.dat
KenTest3p.dat
KenTest4.dat
KenTest4p.dat
KenTest5.dat
KenTest5p.dat
KenTest6.dat
KenTest6p.dat
KenTest7.dat
KenTest7p.dat
KenTest8.dat
KenTest8p.dat
KenTest9.dat
KenTest9p.dat
LU.c
Mean50.dat
Mean500.dat
mosinit.hoc
NC.pdf
NC.tex
NC1.tex
NC2.tex
NC3.tex
NC4.tex
NC5.tex
NC6.tex
NCFig2.eps *
NCFig3.eps *
NCFig4.eps *
NCFig5a.eps *
NCFig5b.eps *
NCFig6.eps *
NCPics.tex
NeuronDriver.hoc
NewComExactSoln.c
NewComp.pdf
NewComp.ps
NewComp.tex
NewComp.toc
NewComp1.tex
NewComp2.tex
NewComp3.tex
NewComp4.tex
NewComp5.tex
NewComp6.tex
NewCompFig1.eps
NewCompFig2.eps *
NewCompFig3.eps *
NewCompFig4.eps *
NewCompFig5a.eps *
NewCompFig5b.eps *
NewCompFig6.eps *
NewCompPics.tex
NewComSpikeTrain.c
NewRes.dat
NewRes60.dat
NewRes70.dat
NewRes80.dat
NewSynRes40.dat
NewTestCell.d3
NResults.res
OldComExactSoln.c
out.res
principles_01.tex
rand
Ratio.dat
RelErr.dat
ReviewOfSpines.pdf
SpikeTimes.dat
TestCell.d3
TestCell1.d3
TestCell2.d3
TestCell3.d3
TestCell4.d3
testcellnew2.hoc
TestCGS.c
TestGen1.c
TestSim.hoc
TestSim020.hoc
TestSim030.hoc
TestSim040.hoc
TestSim050.hoc
TestSim060.hoc
TestSim070.hoc
TestSim080.hoc
TestSim090.hoc
TestSim1.hoc
TestSim100.hoc
TestSim200.hoc
TestSim300.hoc
TestSim400.hoc
TestSim500
TestSim500.hoc
                            
2
7
38
153
173
195
202
216
231
249
258
297
308
335
344
360
401
419
430
462
470
476
483
489
503
508
513
534
580
586
602
671
681
712
798
810
814
844
849
865
883
910
928
983
988
1108
1113
1125
1179
1187
1192
1198
1219
1272
1286
1291
1303
1319
1335
1340
1353
1407
1456
1474
1497
1550
1555
1560
1574
1585
1595
1608
1625
1646
1651
1671
1675
1702
1721
1735
1743
1755
1768
1782
1826
1877
1882
1910
1914
1933
1949
1963
1969
2020
2026
2041
2059
2077
2083
2097
2102
2121
2181
2207
2216
2239
2266
2314
2334
2340
2347
2353
2395
2401
2406
2410
2419
2433
2462
2468
2515
2522
2563
2637
2663
2688
2708
2754
2758
2781
2805
2861
2880
2903
2919
2933
2959
2984
2991
3002
3009
3058
3063
3068
3097
3104
3121
3126
3190
3194
3199
3216
3228
3240
3244
3258
3270
3275
3340
3349
3359
3398
3414
3490
3501
3507
3514
3519
3564
3574
3601
3635
3644
3660
3675
3684
3718
3741
3760
3767
3784
3803
3812
3830
3843
3868
3878
3885
3890
3896
3920
3932
3967
3992
4024
4038
4043
4048
4052
4067
4106
4119
4135
4140
4162
4183
4187
4253
4264
4269
4276
4283
4305
4338
4361
4367
4403
4408
4429
4449
4494
4527
4533
4548
4604
4616
4657
4668
4684
4698
4709
4782
4801
4812
4817
4825
4830
4835
4840
4877
4909
4921
4935
4940
4958
4981
4989
4997
5034
5044
5160
5174
5179
5191
5196
5218
5224
5270
5307
5314
5322
5344
5357
5367
5381
5406
5411
5421
5452
5537
5565
5570
5582
5595
5651
5717
5727
5735
5765
5773
5779
5785
5807
5824
5853
5869
5876
5881
5887
5895
5906
5920
5934
5955
5961
5972
5977
5989
6006
6012
6028
6067
6075
6079
6086
6113
6119
6165
6178
6184
6189
6194
6202
6238
6254
6258
6282
6318
6373
6391
6396
6406
6416
6421
6431
6435
6441
6456
6466
6477
6482
6511
6517
6528
6542
6557
6569
6574
6589
6635
6639
6650
6666
6695
6728
6732
6759
6811
6826
6831
6880
6887
6936
6963
6984
7013
7073
7091
7106
7159
7168
7199
7205
7234
7288
7348
7362
7369
7386
7392
7397
7402
7425
7440
7462
7567
7574
7579
7584
7647
7672
7710
7755
7802
7879
7907
7938
7949
7956
7995
8000
8026
8039
8053
8074
8085
8097
8103
8140
8151
8161
8179
8203
8241
8246
8313
8319
8338
8353
8362
8370
8374
8379
8402
8410
8446
8465
8477
8513
8525
8531
8540
8560
8585
8603
8608
8642
8648
8654
8663
8733
8745
8751
8769
8775
8795
8822
8848
8862
8889
8901
8960
8967
9012
9031
9048
9077
9098
9121
9135
9154
9160
9165
9185
9191
9201
9206
9211
9246
9270
9311
9343
9351
9359
9364
9370
9393
9407
9413
9419
9424
9430
9440
9454
9498
9531
9546
9551
9591
9635
9658
9695
9700
9705
9721
9747
9751
9766
9778
9790
9809
9856
9864
9872
9908
9924
9929
9970
9993
9999

Loading data, please wait...