Characterisation of information flow in an Izhikevich network

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#

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.

Keywords
Izhikevich network; polychronous group; information flow; regular spiking; fast spiking; van Rossum’s distance

People

Professor Bruce Graham

Emeritus Professor, Computing Science