Globus pallidus multi-compartmental model neuron with realistic morphology (Gunay et al. 2008)

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Accession:114639
"Globus pallidus (GP) neurons recorded in brain slices show significant variability in intrinsic electrophysiological properties. To investigate how this variability arises, we manipulated the biophysical properties of GP neurons using computer simulations. ... Our results indicated that most of the experimental variability could be matched by varying conductance densities, which we confirmed with additional partial block experiments. Further analysis resulted in two key observations: (1) each voltage-gated conductance had effects on multiple measures such as action potential waveform and spontaneous or stimulated spike rates; and (2) the effect of each conductance was highly dependent on the background context of other conductances present. In some cases, such interactions could reverse the effect of the density of one conductance on important excitability measures. ..."
Reference:
1 . Günay C, Edgerton JR, Jaeger D (2008) Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach. J Neurosci 28:7476-91 [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:
Cell Type(s): Globus pallidus neuron;
Channel(s): I Na,p; I Na,t; I L high threshold; I A; I K,leak; I K,Ca; KCNQ1;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Ions;
Simulation Environment: GENESIS;
Model Concept(s): Dendritic Action Potentials; Parameter Fitting; Active Dendrites; Detailed Neuronal Models; Methods; Parkinson's;
Implementer(s): Gunay, Cengiz [cgunay at emory.edu]; Edgerton, Jeremy R. [jedgert at emory.edu]; Hanson, Jesse E.;
Search NeuronDB for information about:  I Na,p; I Na,t; I L high threshold; I A; I K,leak; I K,Ca; KCNQ1; Ions;
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GunayEdgertonJaeger2008
common
CVS
gp1_stn
gp2_stn
gp3_stn
gp4_stn
gp5_stn
actpars.g
add_pallidum_syns.g
add_STN_syns_soma.g
calc_syn_integ.g
CIPfuncs.g
dump_chans.g
fileioGP.g
GP1.p
GP1_defaults.g
gp1_STNinputcomps.asc *
gp1allcompnames.asc *
gp1dendritenames.asc *
gp1outputnames.asc
GP2.p
GP2_defaults.g
GP2_sd.p
gp2allcompnames.asc
gp2dendritenames.asc
gp2outputnames.asc
GP3.p
GP3_defaults.g
gp3allcompnames.asc
gp3dendritenames.asc
gp3outputnames.asc
GP4.p
GP4_defaults.g
gp4allcompnames.asc
gp4dendritenames.asc
gp4outputnames.asc
GP5.p
GP5_defaults.g
gp5allcompnames.asc
gp5dendritenames.asc
gp5outputnames.asc
GPchans.g
GPcomps.g
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GPsyns.g *
jitter_syns.g
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make_GP_library_nochans.g
modify.par
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randseeds.asc *
read_clusters.g
read_STN_nocluster_scaled.g
read_STN_nocluster_scaled_const.g
read_STN_nocluster_scaled_nottab.g
read_STN_nocluster_scaled_ttabfile.g
read_STN_syns.g
read_STN_syns_nocluster.g
read_STN_syns_times_nocluster.g
read_striatum_syns.g
read_striatum_syns_const.g
read_striatum_syns_const_scaled.g
read_striatum_syns_scaled.g
read_striatum_syns_soma.g
runbatch_nice
semantic.cache
simdefaults.g
snapshotGP.g
write_ttab.g
write_ttabs_separatefiles.g
                            
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