Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019)

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Accession:249463
Study on how GWAS-identified risk genes of shizophrenia affect excitability and integration of inputs in thick-tufted layer V pyramidal cells
Reference:
1 . Mäki-Marttunen T, Devor A, Phillips WA, Dale AM, Andreassen OA, Einevoll GT (2019) Computational modeling of genetic contributions to excitability and neural coding in layer V pyramidal cells: applications to schizophrenia pathology Front. Comput. Neurosci. 13:66
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: Neocortex;
Cell Type(s):
Channel(s): I A; I M; I h; I K,Ca; I Calcium; I A, slow; I Na,t; I Na,p; I L high threshold; I T low threshold;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s):
Transmitter(s): Glutamate; Gaba;
Simulation Environment: NEURON; Python;
Model Concept(s): Schizophrenia; Dendritic Action Potentials; Action Potential Initiation; Synaptic Integration;
Implementer(s): Maki-Marttunen, Tuomo [tuomo.maki-marttunen at tut.fi];
Search NeuronDB for information about:  AMPA; NMDA; Gaba; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I M; I h; I K,Ca; I Calcium; I A, slow; Gaba; Glutamate;
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Ca_HVA.mod *
Ca_LVAst.mod *
CaDynamics_E2.mod *
epsp.mod *
Ih.mod *
Im.mod *
K_Pst.mod *
K_Tst.mod *
Nap_Et2.mod *
NaTa_t.mod *
ProbAMPANMDA2.mod *
ProbUDFsyn2.mod *
SK_E2.mod *
SKv3_1.mod *
calcapicalthresholds_control.py
calcapicalthresholds_epsp_control.py
calcifcurves.py
calcifcurves_comb.py
calcnspikesperburst2.py
calcsteadystate.py
calcupdown2responses.py
calcupdownresponses_noisydown.py
calcupdownresponses_noisyup.py
coding.py
coding_comb.py
coding_nonprop_comb_somaticI.py
coding_nonprop_somaticI.py
collectupdownresponses_noisy.py
control_cs.sav
controlamps_cs0.sav
controlamps_cs1.sav
controlamps_cs2.sav
controlamps_cs3.sav
controlamps_cs4.sav
controlamps_cs5.sav
controlamps_cs6.sav
drawfigcomb.py
drawnspikesperburst2.py
drawupdownresponses_noisy.py
findppicoeffs.py
findppicoeffs_comb.py
findppicoeffs_complement.py
findthresholdbasalamps_coding.py
findthresholddistalamps.py
findthresholddistalamps_coding.py
findthresholddistalamps_comb.py
mutation_stuff.py
mytools.py
protocol.py
runcontrols_cs.py
savebasalsynapselocations_coding.py
savesynapselocations.py
savesynapselocations_coding.py
scalemutations_cs.py
scalings_cs.sav
setparams.py
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g674
a(lp1206
I6
aaa(lp1207
g675
a(lp1208
I-8
aaa(lp1209
g676
a(lp1210
F1.33
aaa(lp1211
g655
a(lp1212
F1.0
aaa(lp1213
g685
a(lp1214
F0.5
aaa(lp1215
g686
a(lp1216
F0.87
aaaa(lp1217
(lp1218
g674
a(lp1219
I-28
aaa(lp1220
g675
a(lp1221
I-27
aaa(lp1222
g676
a(lp1223
F1.11
aaa(lp1224
g655
a(lp1225
F0.71
aaa(lp1226
g689
a(lp1227
F1.13
aaa(lp1228
g690
a(lp1229
F2.27
aaaa(lp1230
(lp1231
g674
a(lp1232
I14
aaa(lp1233
g675
a(lp1234
I-21
aaa(lp1235
g676
a(lp1236
F2.0
aaa(lp1237
g655
a(lp1238
F1.0
aaa(lp1239
g693
a(lp1240
F0.39
aaa(lp1241
g694
a(lp1242
F1.2
aaaa(lp1243
(lp1244
g674
a(lp1245
I-13
aaa(lp1246
g675
a(lp1247
I-13
aaa(lp1248
g676
a(lp1249
F1.33
aaa(lp1250
g655
a(lp1251
F0.71
aaa(lp1252
g697
a(lp1253
F0.95
aaa(lp1254
g698
a(lp1255
F5.13
aaaaa(lp1256
(lp1257
(lp1258
g701
a(lp1259
F3.0
aaa(lp1260
g702
a(lp1261
F3.48
aaa(lp1262
g703
a(lp1263
F1.01
aaa(lp1264
g704
a(lp1265
F0.89
aaaa(lp1266
(lp1267
g707
a(lp1268
F-1.11
aaa(lp1269
g708
a(lp1270
F5.14
aaa(lp1271
g709
a(lp1272
F0.6
aaa(lp1273
g710
a(lp1274
F1.48
aaaa(lp1275
(lp1276
g713
a(lp1277
F-1.88
aaa(lp1278
g714
a(lp1279
F2.69
aaa(lp1280
g715
a(lp1281
F0.6
aaa(lp1282
g716
a(lp1283
F1.35
aaaaaa.

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