Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons

@article{Politi2018CollectiveID,
  title={Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons},
  author={Antonio Politi and Ekkehard Ullner and Alessandro Torcini},
  journal={The European Physical Journal Special Topics},
  year={2018},
  volume={227},
  pages={1185-1204}
}
  • A. Politi, E. Ullner, A. Torcini
  • Published 9 August 2018
  • Biology, Physics, Computer Science, Mathematics
  • The European Physical Journal Special Topics
Abstract We extensively explore networks of weakly unbalanced, leaky integrate-and-fire (LIF) neurons for different coupling strength, connectivity, and by varying the degree of refractoriness, as well as the delay in the spike transmission. We find that the neural network does not only exhibit a microscopic (single-neuron) stochastic-like evolution, but also a collective irregular dynamics (CID). Our analysis is based on the computation of a suitable order parameter, typically used to… 
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An in-depth analysis of the resulting "correlated state" in balanced networks is provided and it is shown that, unlike the asynchronous state, it produces a tight excitatory-inhibitory balance consistent with in vivo cortical recordings.
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