期刊
PHYSICAL REVIEW LETTERS
卷 105, 期 15, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.105.158104
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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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