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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Guo, Li
Yang, Zhijun
Graham, Bruce
Zhang, Daqiang
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Title: Characterisation of information flow in an Izhikevich network
Editor(s): Huang, T
Zeng, Z
Li, C
Leung, CS
Citation: Guo L, Yang Z, Graham B & Zhang D (2012) Characterisation of information flow in an Izhikevich network In: Huang T, Zeng Z, Li C, Leung CS (ed.) Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I, Berlin Heidelberg: Springer. 19th International Conference on Neural Information Processing, ICONIP 2012, 12.11.2012 - 15.11.2012, Doha, Qatar, pp. 392-400.
Issue Date: 2012
Series/Report no.: Lecture Notes in Computer Science, 7663
Conference Name: 19th International Conference on Neural Information Processing, ICONIP 2012
Conference Dates: 2012-11-12T00:00:00Z
Conference Location: Doha, Qatar
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.
Status: Book Chapter: publisher version
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