Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model

F.S. Borges, P.R. Protachevicz, E.L. Lameu, R.C. Bonetti, K.C. Larosz, I.L. Caldas, M.S. Baptista, A.M. Batista

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
11 Downloads (Pure)

Abstract

We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections, by constructing parameter spaces that identify these synchronous behaviours from measurements of the inter-spike interval and the calculation of the order parameter. Moreover, we verify the robustness of synchronisation by applying an external perturbation to each neuron. The simulations show that bursting synchronisation is more robust than spike synchronisation.
Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalNeural Networks
Volume90
Early online date16 Mar 2017
DOIs
Publication statusPublished - Jun 2017

Keywords

  • integrate-and -fire
  • network
  • synchronisation

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