Sumio Hosaka

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L J Deng1
Z Liu1
Y Liu1
J J Wang1
1L J Deng
1Z Liu
1Y Liu
1J J Wang
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Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield network. Different patterns can be stored into the memristive Hopfield network by tuning the resistance of(More)
We have investigated electrical properties of a chalcogenide-based device with naturally oxidized Al electrodes. Intermediate-resistance (IR) states exhibited by current–voltage (I–V) characteristics, dynamic resistance change as a function of pulse height and decay behavior from a low-resistance state of such a device make multi-state storage feasible.(More)
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