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.
Model Type: Realistic Network
Region(s) or Organism(s): Hippocampus
Cell Type(s): Abstract Wang-Buzsaki neuron
Receptors: GabaA
Model Concept(s): Activity Patterns; Oscillations; Synchronization; Synaptic Integration
Simulation Environment: NEURON
Implementer(s): Jonas, Peter [Peter.Jonas at ist.ac.at]
References:
Bartos M et al. (2002). Fast synaptic inhibition promotes synchronized gamma oscillations in hippocampal interneuron networks. Proceedings of the National Academy of Sciences of the United States of America. 99 [PubMed]