Irregular collective behavior of heterogeneous neural networks

Stefano Luccioli, Antonio Politi

Research output: Contribution to journalArticlepeer-review

66 Citations (Scopus)


We investigate a network of integrate-and-fire neurons characterized by a distribution of spiking frequencies. Upon increasing the coupling strength, the model exhibits a transition from an asynchronous regime to a nontrivial collective behavior. Numerical simulations of large systems indicate that, at variance with the Kuramoto model, (i) the macroscopic dynamics stays irregular and (ii) the microscopic (single-neuron) evolution is linearly stable.

Original languageEnglish
Article number158104
Number of pages4
JournalPhysical Review Letters
Issue number15
Early online date7 Oct 2010
Publication statusPublished - 8 Oct 2010


  • pulse-coupled oscillators
  • fire oscillators
  • desynchronization
  • synchrony
  • neurons
  • model
  • state


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