Here we report a W/MgO/SiO2/Mo memristor array with multilevel resistance states, where the weights of the memristor array can be tuned precisely by voltage pulses. Based on the array, we have performed speech recognition in memristive spiking neural network with improved supervised tempotron algorithm on TIDIGITS dataset, demonstrating software-comparable accuracy for speech recognition in the memristive spiking neural network.
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