Characterisation of information flow in an izhikevich network

Conference poster


Guo, L., Yang, Z., Graham, B. and Zhang, D. 2012. Characterisation of information flow in an izhikevich network. Huang, T. (ed.) ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I. Doha, Qatar 12 - 16 Nov 2012 Berlin Springer. https://doi.org/10.1007/978-3-642-34475-6_47
TypeConference poster
TitleCharacterisation of information flow in an izhikevich network
AuthorsGuo, L., Yang, Z., Graham, B. and Zhang, D.
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.

KeywordsIzhikevich network polychronous group information flow regular spiking fast spiking van Rossum’s distance
ConferenceICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
SeriesLecture Notes in Computer Science
EditorsHuang, T.
ISBN
Hardcover9783642344749 (print), 9783642344756 (online)
PublisherSpringer
Place of publicationBerlin
Publication dates
PrintNov 2012
Publication process dates
Deposited30 Jan 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-642-34475-6_47
LanguageEnglish
Book titleNeural Information Processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I
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