Measuring information transmission in Izhikevich neuron
Yang, Zhijun 
ORCID: https://orcid.org/0000-0003-2615-4297, Guo, Li and Zhu, Qingbao
(2012)
Measuring information transmission in Izhikevich neuron.
Lei, Jingsheng, Wang, Fu Lee, Deng, Hepu and Miao, Duoqian, eds.
Artificial Intelligence and Computational Intelligence: 4th International Conference, AICI 2012, Chengdu, China, October 26-28, 2012, Proceedings.
In: 2012 International Conference on Artificial Intelligence and Computational Intelligence, 24-27 Oct 2012, Chengdu, China.
pbk-ISBN 9783642334771, e-ISBN 9783642334788.
ISSN 0302-9743
[Conference or Workshop Item]
(doi:10.1007/978-3-642-33478-8_72)
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 (Paper) |
|---|---|
| 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: | 24 Oct 2022 14:13 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/9916 |
Actions (login required)
 |
View Item |
Statistics
Additional statistics are available via IRStats2.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)