Stochastic resonance in coupled small-world neural networks

Hai Tao Yu, Jiang Wang, Chen Liu, Yanqiu Che, Bin Deng, Xi Le Wei

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Noise exists widely in biological neural systems, and plays an important role in system functions. A complex neural network, which contains several small-world subnetworks, is constructed based on a two-dimensional neural map. The phenomenon of stochastic resonance induced by Gaussian white noise is studied. It is found that only with an appropriate noise, can the frequency response of the network to input signal reach a peak value. Moreover, network structure has an important influence on the stochastic resonance of the neural system. With a fixed coupling strength, there exists an optimal local small-world topology, which can offer the best frequency response of the network.

Original languageEnglish (US)
Article number068702
JournalWuli Xuebao/Acta Physica Sinica
Volume61
Issue number6
StatePublished - Mar 30 2012

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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