Delayed switching applied to memristor neural networks

Wang, Frank Z. and Helian, Na and Guo, Yike and Wu, Sining and Yang, Xiao and Lim, Guan and Rashid, Md Mamunur (2011) Delayed switching applied to memristor neural networks. Journal of Applied Physics, 111 (7). ISSN 1089-7550. (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)

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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
Uncontrolled keywords: Delayed switching memristor neural network
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Future Computing Group
Depositing User: M. Rashid
Date Deposited: 21 Sep 2012 09:49
Last Modified: 25 Apr 2014 15:39
Resource URI: (The current URI for this page, for reference purposes)
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