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Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level.

, , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 125-136 (2018)

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An Application Development Platform for neuromorphic computing., , , , , , , , and . IJCNN, page 1347-1354. IEEE, (2016)Neuromorphic Computing is Turing-Complete., , , and . CoRR, (2021)Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron., , , , , and . CoRR, (2022)Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers., , , , , and . IPDPS Workshops, page 308-311. IEEE, (2021)Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level., , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 125-136 (2018)Benchmarking the performance of neuromorphic and spiking neural network simulators., , , and . Neurocomputing, (2021)Neuromorphic Downsampling of Event-Based Camera Output., , and . NICE, page 26-34. ACM, (2023)On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments., , , , , , , , , and 5 other author(s). ICONS, page 3:1-3:8. ACM, (2023)Impact of Neuron Firing Rate on Application and Algorithm Performance., , , , and . ICONS, page 14:1-14:4. ACM, (2023)Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator., and . ICONS, page 4:1-4:4. ACM, (2021)