Measuring information transmission in Izhikevich neuron

Yang, Zhijun and Guo, Li and Zhu, Qingbao (2012) Measuring information transmission in Izhikevich neuron. In: 2012 International Conference on Artificial Intelligence and Computational Intelligence, 24-27 October 2012, Chengdu, China.

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Abstract

Izhikevich neuron is a relatively new neuronal model, which has found extensive applications in modeling neuron due to its strong biological plausibility and computational effectiveness. In this work we use the information theoretic method to measure the ability of information transmission of this neuron model. We find that Izhikevich neuron shows low sensitivity to high frequency of random noise; and appropriate noise level can help information transmission through the neuron.

Item Type: Conference or Workshop Item (Speech)
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9916
Useful Links:
Depositing User: Zhijun Yang
Date Deposited: 30 Jan 2013 11:31
Last Modified: 13 Oct 2016 14:25
URI: http://eprints.mdx.ac.uk/id/eprint/9916

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