Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)

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Accession:229750
Network model of a hippocampal circuit including interneurons and principal cells. Amplitude and decay time course of inhibitory synapses can be systematically changed for different distances between connected cells. Various forms of excitatory drives can be administered to the network including spatially structured input.
Reference:
1 . Strueber M, Sauer JF, Jonas P, Bartos M (2017) Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus Nat. Comm. 8:758
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Dentate gyrus;
Cell Type(s): Dentate gyrus granule cell; Dentate gyrus basket cell;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s): GabaA; Glutamate;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Gamma oscillations; Spatio-temporal Activity Patterns;
Implementer(s): Strüber, Michael [michael_strueber at hotmail.com];
Search NeuronDB for information about:  Dentate gyrus granule cell; GabaA; Glutamate; Gaba; Glutamate;
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DDnet
readme.txt
gap.mod
kaprox.mod *
kdrca1.mod *
km.mod *
na3n.mod *
net_hh_wbsh.mod
net_dd_ana.hoc
net_dd_emodel.hoc
net_dd_imodel.hoc
net_dd_params.hoc
net_dd_procs.hoc
net_dd_run.hoc
net_dd_vectors.hoc
                            
NEURON {
	POINT_PROCESS gap
	NONSPECIFIC_CURRENT i
	RANGE r, i
	POINTER vgap
}

PARAMETER {
	v (millivolt)
	vgap (millivolt)
	r = 1e10 (megohm)
}

ASSIGNED {
	i (nanoamp)
}

BREAKPOINT {
	i = (v - vgap)/r
}


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