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Neuromorphic computers could overcome efficiency bottlenecks inherent to conventional computing through parallel programming and readout of artificial neural network weights in a crossbar memory array. However, selective and linear weight updates and 1 billion write-read operations and support >1-megahertz write-read frequencies.
Fuller et al. (Thu,) studied this question.