Wang, Frank Z., Helian, Na, Guo, Yike, Wu, Sining, Yang, Xiao, Lim, Guan, Rashid, Md Mamunur (2011) Delayed switching applied to memristor neural networks. Journal of Applied Physics, 111 (7). ISSN 1089-7550. (doi:10.1063/1.3672409) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30710)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://www.cs.kent.ac.uk/pubs/2011/3235 |
Abstract
Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the ¡°delayed switching effect.¡± In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons.
Item Type: | Article |
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DOI/Identification number: | 10.1063/1.3672409 |
Uncontrolled keywords: | Delayed switching memristor neural network |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | M. Rashid |
Date Deposited: | 21 Sep 2012 09:49 UTC |
Last Modified: | 16 Nov 2021 10:08 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/30710 (The current URI for this page, for reference purposes) |
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