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In this paper we develop the concept of implementing pattern recognition algorithms in analog memristor networks. First, a device model is presented with experimental results demonstrating the feasibility of using WOx-based memristors to represent the tunable weights in a neural network. Next, simulation results demonstrate that an array of these memristors can be used to implement an unsupervised...
We show resistive switching effects in memristive devices exhibit significant stochasticity. When the switching is dominated by a single filament, the switching time is fully random and shows a broad distribution. However, the switching distribution can be predicted and responds well to controlled changes in the programming conditions. The native stochastic characteristic can be used to generate random...
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