Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)

" ... Here we show how the oscillation frequency is shaped by single neuron resonance, electrical and chemical synapses.The presence of both gap junctions and subthreshold resonance are necessary for the emergence of oscillations. Our results are in agreement with several experimental observations such as network responses to oscillatory inputs and offer a much-needed conceptual link connecting a collection of disparate effects observed in networks."

Model Type: Realistic Network

Cell Type(s): Abstract integrate-and-fire adaptive exponential (AdEx) neuron

Transmitters: Gaba; Glutamate

Model Concept(s): Oscillations

Simulation Environment: MATLAB

Implementer(s): Clopath, Claudia [c.clopath at imperial.ac.uk]


Tchumatchenko T, Clopath C. (2014). Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance. Nature communications. 5 [PubMed]

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