http://hdl.handle.net/1893/16186
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 |
Contact Email: | b.p.graham@stir.ac.uk |
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 C (eds.) Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. Lecture Notes in Computer Science, 7663. 19th International Conference on Neural Information Processing, ICONIP 2012, Doha, Qatar, 12.11.2012-15.11.2012. Berlin Heidelberg: Springer, pp. 392-400. http://link.springer.com/chapter/10.1007/978-3-642-34475-6_47# |
Issue Date: | 2012 |
Date Deposited: | 2-Aug-2013 |
Series/Report no.: | Lecture Notes in Computer Science, 7663 |
Conference Name: | 19th International Conference on Neural Information Processing, ICONIP 2012 |
Conference Dates: | 2012-11-12 - 2012-11-15 |
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: | VoR - Version of Record |
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URL: | http://link.springer.com/chapter/10.1007/978-3-642-34475-6_47# |
Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
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