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Efficient Mixed-Signal Neurocomputing Via Successive Integration and Rescaling., , , and . IEEE Trans. Very Large Scale Integr. Syst., 28 (3): 823-827 (2020)3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories., , , and . CoRR, (2019)Mixed-Signal Vector-by-Matrix Multiplier Circuits Based on 3D-NAND Memories for Neurocomputing., , , and . DATE, page 696-701. IEEE, (2020)3D-DPE: A 3D high-bandwidth dot-product engine for high-performance neuromorphic computing., , , and . DATE, page 1257-1260. IEEE, (2017)Exponential-weight multilayer perceptron., , and . IJCNN, page 3709-3715. IEEE, (2017)Improving Noise Tolerance of Mixed-Signal Neural Networks., , and . IJCNN, page 1-8. IEEE, (2019)Memristors for neural branch prediction: a case study in strict latency and write endurance challenges., , , , , , , and . Conf. Computing Frontiers, page 26:1-26:10. ACM, (2013)Sub-1-us, Sub-20-nJ Pattern Classification in a Mixed-Signal Circuit Based on Embedded 180-nm Floating-Gate Memory Cell Arrays., , , , , and . CoRR, (2016)Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors., , , , and . CoRR, (2015)A Reconfigurable FIR Filter with Memristor-Based Weights., , , and . CoRR, (2016)