Robust emergence of small-world structure in networks of spiking neurons

  • Hoi Fei Kwok
  • Peter Jurica
  • Antonino Raffone
  • Cees van Leeuwen
Research Article

Abstract

Spontaneous activity in biological neural networks shows patterns of dynamic synchronization. We propose that these patterns support the formation␣of a small-world structure—network connectivity␣optimal for distributed information processing. We␣present numerical simulations with connected Hindmarsh–Rose neurons in which, starting from random connection distributions, small-world networks evolve as a result of applying an adaptive rewiring rule. The rule connects pairs of neurons that tend fire in synchrony, and disconnects ones that fail to synchronize. Repeated application of the rule leads to small-world structures. This mechanism is robustly observed for bursting and irregular firing regimes.

Keywords

Self-organization Spiking neuron Modularity Neural network 

Notes

Acknowledgements

The authors like to thank Dr Pulin Gong and the three anonymous reviewers for valuable advice and comments.

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Copyright information

© Springer Science+Business Media B.V. 2006

Authors and Affiliations

  • Hoi Fei Kwok
    • 1
    • 2
    • 3
  • Peter Jurica
    • 1
  • Antonino Raffone
    • 1
    • 2
  • Cees van Leeuwen
    • 1
    • 2
  1. 1.Laboratory for Perceptual DynamicsRIKEN Brain Science InstituteSaitamaJapan
  2. 2.Department of PsychologySunderland UniversitySunderlandUK
  3. 3.University of BirminghamBirminghamUK

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