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        Delayed switching applied to memristor neural networks

        Author
        Wang, Frank Z.
        Helian, Na
        Wu, Sining
        Yang, Xiao
        Guo, Yike
        Lim, Guan
        Rashid, Md Mamunur
        Attention
        2299/9623
        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
        Publication date
        2012
        Published in
        Journal of Applied Physics
        Published version
        https://doi.org/10.1063/1.3672409
        Other links
        http://hdl.handle.net/2299/9623
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