Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27039
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Yang, Zhijun
Gandhi, Vaibhav S
Karamanoglu, Mehmet
Graham, Bruce
Contact Email: bruce.graham@stir.ac.uk
Title: Characterising information correlation in a stochastic Izhikevich neuron
Citation: Yang Z, Gandhi VS, Karamanoglu M & Graham B (2015) Characterising information correlation in a stochastic Izhikevich neuron In: Proceedings of the International Joint Conference on Neural Networks 2015, New York: IEEE. 2015 International Joint Conference on Neural Networks (IJCNN), 12.7.2015 - 17.7.2015, Killarney, Ireland.
Issue Date: 1-Oct-2015
Series/Report no.: 2015
Conference Name: 2015 International Joint Conference on Neural Networks (IJCNN)
Conference Dates: 2015-07-12T00:00:00Z
Conference Location: Killarney, Ireland
Abstract: The Izhikevich spiking neuron model is a relatively new mathematical framework which is able to represent many observed spiking neuron behaviors, excitatory or inhibitory, by simply adjusting a set of four model parameters. This model is deterministic in nature and has achieved wide applications in analytical and numerical analysis of biological neurons due largely to its biological plausibility and computational efficiency. In this work we present a stochastic version of the Izhikevich neuron, and measure its performance in transmitting information in a range of biological frequencies. The work reveals that the deterministic Izhikevich model has a wide information transmission range and is generally better in transmitting information than its stochastic counterpart.
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.
URL: https://ieeexplore.ieee.org/abstract/document/7280534/

Files in This Item:
File Description SizeFormat 
Graham_IJCNN_2015.pdf470.59 kBAdobe PDFUnder Permanent Embargo    Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.