Irregular collective behavior of heterogeneous neural networks

Stefano Luccioli; Antonio Politi

doi:10.1103/PhysRevLett.105.158104

Irregular collective behavior of heterogeneous neural networks

Stefano Luccioli
, Antonio Politi

CNR (Consiglio Nazionale delle Ricerche), Istituto dei Sistemi Complessi
Ist Nazl Fis Nucl, Sez Firenze

Research output: Contribution to journal › Article › peer-review

75 Citations (Scopus)

Abstract

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 language	English
Article number	158104
Number of pages	4
Journal	Physical Review Letters
Volume	105
Issue number	15
Early online date	7 Oct 2010
DOIs	https://doi.org/10.1103/PhysRevLett.105.158104
Publication status	Published - 8 Oct 2010

Keywords

pulse-coupled oscillators
fire oscillators
desynchronization
synchrony
neurons
model
state

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10.1103/PhysRevLett.105.158104

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KW - model

KW - state

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Irregular collective behavior of heterogeneous neural networks

Abstract

Keywords

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