Characterisation of information flow in an izhikevich network

Authors:
Li Guo;Zhijun Yang;Bruce Graham;Daqiang Zhang
Affiliations:
School of Computer Science, Nanjing Normal University, Nanjing, China;School of Computer Science, Nanjing Normal University, Nanjing, China;Dept. of Math. and Computing Sciences, Stirling University, Stirling, UK;School of Computer Science, Nanjing Normal University, Nanjing, China
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Year:
2012

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Abstract

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.