Biological Cybernetics

, Volume 90, Issue 4, pp 302–309 | Cite as

Global and local synchrony of coupled neurons in small-world networks

  • Naoki MasudaEmail author
  • Kazuyuki Aihara


Synchronous firing of neurons is thought to play important functional roles such as feature binding and switching of cognitive states. Although synchronization has mainly been investigated so far using model neurons with simple connection topology, real neural networks have more complex structures. Here we examine the behavior of pulse-coupled leaky integrate-and-fire neurons with various network structures. We first show that the dispersion of the number of connections for neurons influences dynamical behavior even if other major topological statistics are kept fixed. The rewiring probability parameter representing the randomness of networks bridges two spatially opposite frameworks: precise local synchrony and rough global synchrony. Finally, cooperation of the global connections and the local clustering property, which is prominent in small-world networks, inforces synchrony of distant neuronal groups receiving coherent inputs.


Cognitive State Model Neuron Local Cluster Feature Binding Probability Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  1. 1.Faculty of EngineeringYokohama National UniversityYokohamaJapan
  2. 2.Graduate School of Frontier SciencesThe University of TokyoTokyoJapan
  3. 3.ERATOJapan Science and Technology AgencyKawaguchiJapan

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