|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||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 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.|
|Series/Report no.:||Lecture Notes in Computer Science, 7663|
|Conference Name:||19th International Conference on Neural Information Processing, ICONIP 2012|
|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|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
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