Gamma oscillations in hippocampal interneuron networks (Bartos et al 2002)

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Accession:21329
To examine whether an interneuron network with fast inhibitory synapses can act as a gamma frequency oscillator, we developed an interneuron network model based on experimentally determined properties. In comparison to previous interneuron network models, our model was able to generate oscillatory activity with higher coherence over a broad range of frequencies (20-110 Hz). In this model, high coherence and flexibility in frequency control emerge from the combination of synaptic properties, network structure, and electrical coupling.
Reference:
1 . Bartos M, Vida I, Frotscher M, Meyer A, Monyer H, Geiger JR, Jonas P (2002) Fast synaptic inhibition promotes synchronized gamma oscillations in hippocampal interneuron networks. Proc Natl Acad Sci U S A 99:13222-7 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Abstract Wang-Buzsaki neuron;
Channel(s): I Na,t; I K;
Gap Junctions: Gap junctions;
Receptor(s): GabaA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Oscillations; Synchronization; Synaptic Integration;
Implementer(s): Jonas, Peter [Peter.Jonas at ist.ac.at];
Search NeuronDB for information about:  GabaA; I Na,t; I K;
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inhibnet
README
gap.mod *
nethhwbm.mod
mosinit.hoc
netring.hoc
                            
NEURON {
	POINT_PROCESS gap
	NONSPECIFIC_CURRENT i
	RANGE r, i
	POINTER vgap
}

PARAMETER {
	v (millivolt)
	vgap (millivolt)
	r = 100000(megohm)
}

ASSIGNED {
	i (nanoamp)
}

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

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