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Delayed switching applied to memristor neural networks
Frank Z. Wang, Na Helian, Yike Guo, Sining Wu, Xiao Yang, Guan Lim, and Md Mamunur Rashid
Journal of Applied Physics, 111(7):4, December 2011 [doi].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.
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@article{3235,
author = {Frank Z. Wang and Na Helian and Yike Guo and Sining Wu and Xiao Yang and Guan Lim and Md Mamunur Rashid},
title = {Delayed switching applied to memristor neural networks},
month = {December},
year = {2011},
pages = {4},
keywords = {Delayed switching memristor neural network},
note = {},
doi = {10.1063/1.3672409},
url = {http://www.cs.kent.ac.uk/pubs/2011/3235},
publication_type = {article},
submission_id = {9796_1342535806},
ISSN = {1089-7550},
journal = {Journal of Applied Physics},
volume = {111},
number = {7},
publisher = {Journal of Applied Physics},
}