Characterisation of information flow in an izhikevich network

Guo, Li, Yang, Zhijun, Graham, Bruce and Zhang, Daqiang (2012) Characterisation of information flow in an izhikevich network. In: Neural Information Processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. Huang, Tingwen, ed. Lecture Notes in Computer Science (7663). Springer, Berlin, pp. 392-400. ISBN 9783642344749 (print), 9783642344756 (online)

Full text is not in this repository.

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.

Item Type: Book Section
Keywords (uncontrolled): Izhikevich network polychronous group information flow regular spiking fast spiking van Rossum’s distance
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9917
Useful Links:
Depositing User: Zhijun Yang
Date Deposited: 30 Jan 2013 11:44
Last Modified: 13 Oct 2016 14:25
URI: https://eprints.mdx.ac.uk/id/eprint/9917

Actions (login required)

Edit Item Edit Item