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A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
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Model Information
Model File
Accession:
144403
We provide the model used in Buckley & Nowotny (2011). It consists of a network of Hodgkin Huxley neurons coupled by slow GABA_B synapses which is run alongside a quantitative reduction described in the associated paper.
Reference:
1 .
Buckley CL, Nowotny T (2011) Multiscale model of an inhibitory network shows optimal properties near bifurcation.
Phys Rev Lett
106
:238109
[
PubMed
]
Citations
Citation Browser
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Hodgkin-Huxley neuron;
Channel(s):
I K;
I K,leak;
I M;
I K,Ca;
I Q;
I Na, leak;
Gap Junctions:
Receptor(s):
GabaB;
Gene(s):
Transmitter(s):
Gaba;
Simulation Environment:
C or C++ program;
Model Concept(s):
Activity Patterns;
Bifurcation;
Multiscale;
Implementer(s):
Buckley, Christopher [chrisbuckley at brain.riken.jp];
Search NeuronDB
for information about:
GabaB
;
I K
;
I K,leak
;
I M
;
I K,Ca
;
I Q
;
I Na, leak
;
Gaba
;
Download the displayed file
/
Buckley2011
libraries
CNlib2
readme
CN_absynapse.cc
CN_absynapse.h
CN_absynapse_smSTDP.cc
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CN_absynapse_strange2.h
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CN_absynapseECplast3.h
CN_base.h
CN_base.h~
CN_Colpitts.cc
CN_Colpitts.h
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CN_DCInput.h
CN_demiGapsynapse.cc
CN_demiGapsynapse.h
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CN_ECdemiGapsynapse.cc
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CN_ECdemiGapsynapse.h
CN_ECdemiGapsynapse.h~
CN_ECneuron.cc
CN_ECneuron.h
CN_ECneuron2.cc
CN_ECneuron2.h
CN_ECneuron3.cc
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CN_ECneuron3NS.h
CN_ECneuron3NS.h~
CN_HHneuron.cc
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CN_HHneuron.h
CN_HHneuron.h~
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CN_HHneuronNS.cc
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CN_HHneuronNS.h
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CN_InputFunction.cc
CN_InputFunction.h
CN_InputFunction2.cc
CN_InputFunction2.h
CN_InputFunctionNoise.cc
CN_InputFunctionNoise.h
CN_inputneuron.cc
CN_inputneuron.h
CN_legacy_absynapse.cc
CN_legacy_absynapse.h
CN_legacy_absynapse_smSTDP.cc
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CN_legacy_absynapseECplast2.h
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CN_LPneuronRafi5.cc
CN_LPneuronRafi5.h
CN_LTVneuron.cc
CN_LTVneuron.h
CN_LTVsynapse.cc
CN_LTVsynapse.h
CN_multifire_inputneuron.cc
CN_multifire_inputneuron.h
CN_neuron.cc
CN_neuron.h
CN_NeuronModel.cc
CN_NeuronModel.h
CN_pNaNeuron.cc
CN_pNaNeuron.h
CN_PNneuron.cc
CN_PNneuron.cc~
CN_PNneuron.h
CN_PNneuron.h~
CN_PNneuronM.cc
CN_PNneuronM.cc~
CN_PNneuronM.h
CN_PNneuronM.h~
CN_Poissoninput.cc
CN_Poissoninput.h
CN_Poissonneuron.cc
CN_Poissonneuron.h
CN_PopPoissonN.cc
CN_PopPoissonN.cc~
CN_PopPoissonN.h
CN_PopPoissonN.h~
CN_Rallsynapse.cc
CN_Rallsynapse.h
CN_Rallsynapse_strange.cc
CN_Rallsynapse_strange.h
CN_RallsynapseECplast3.cc
CN_RallsynapseECplast3.h
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CN_rk6n.cc~
CN_rk6n.h
CN_rk6n.o
CN_rk6n_noise.cc
CN_rk6n_noise.cc~
CN_rk6n_noise.h
CN_S01synapse.cc
CN_S01synapse.h
CN_S01synapseECplast3.cc
CN_S01synapseECplast3.h
CN_simpleinput.cc
CN_simpleinput.h
CN_synapse.cc
CN_synapse.h
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CN_t2RallsynapseECplast3.h
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CN_Valneuron.cc
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CN_Valneuron2cNS.h
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CN_ValneuronNS.cc
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CN_VdPolneuron.h
hello.dat
Makefile
testCN
testCN.cc
testCN.cc~
testCN.o
todo_remarks
tst.dat
tst.msg
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tst2.out
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