Characterisation of Information Flow in an Izhikevich Network

  • Li Guo
  • Zhijun Yang
  • Bruce Graham
  • Daqiang Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7663)


Izhikevich network is a relatively new neuronal network, which consists of cortical spiking model neurons with axonal conduction delays and spike-timing-dependent plasticity (STDP). In this network polychrony is identified which is neither synchrony nor asynchrony, but a phenomenon of occurence and transmission of a sequence of firing patterns with specific inter-firing intervals. In this work we use van Rossum’s distance to measure the correlation between spike trains issued by neurons in a testing polychromous group and analyse the characterisation of information flow in the group of the network.


Izhikevich network polychronous group information flow regular spiking fast spiking van Rossum’s distance 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Li Guo
    • 1
  • Zhijun Yang
    • 1
  • Bruce Graham
    • 2
  • Daqiang Zhang
    • 1
  1. 1.School of Computer ScienceNanjing Normal UniversityNanjingChina
  2. 2.Dept. of Math. and Computing SciencesStirling UniversityStirlingUK

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