Irregular collective behavior of heterogeneous neural networks.

نویسندگان

  • Stefano Luccioli
  • Antonio Politi
چکیده

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.

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Collective behavior of heterogeneous neural networks

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عنوان ژورنال:
  • Physical review letters

دوره 105 15  شماره 

صفحات  -

تاریخ انتشار 2010