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RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design.

, , , , , and . ACM Great Lakes Symposium on VLSI, page 281-286. ACM, (2023)

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Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications., , , , , and . ACM Great Lakes Symposium on VLSI, page 383-386. ACM, (2022)Hardware software co-design for leveraging STDP in a memristive neuroprocessor., , , , and . Neuromorph. Comput. Eng., 4 (2): 24010 (2024)An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks., , , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 70 (12): 4804-4815 (December 2023)Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory., , and . CoRR, (2024)HfO2-Based Synaptic Spiking Neural Network Evaluation to Optimize Design and Testing Cost., , and . ISCAS, page 1-5. IEEE, (2024)Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design., , , , , and . CoRR, (2023)Homeostatic Plasticity in a Leaky Integrate and Fire Neuron Using Tunable Leak., , and . MWSCAS, page 738-742. IEEE, (2023)A Mixed-Signal Short-Term Plasticity Implementation for a Current-Controlled Memristive Synapse., , and . ACM Great Lakes Symposium on VLSI, page 179-182. ACM, (2023)Spike-Timing-Dependent Plasticity for a Hafnium-Oxide Memristive Synapse., , and . MWSCAS, page 463-467. IEEE, (2023)Spike-Driven Synaptic Plasticity for a Memristive Neuromorphic Core., , and . MWSCAS, page 644-648. IEEE, (2023)