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Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks.

, , , , , , , , and . Sci. China Inf. Sci., 59 (2): 1-5 (2016)

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A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function., , , , and . IEEE Trans. Ind. Electron., 69 (10): 10694-10703 (2022)Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning., , , , , , , , , and 1 other author(s). CoRR, (2023)Darwin-S: A Reference Software Architecture for Brain-Inspired Computers., , , , , , , and . Computer, 55 (5): 51-63 (2022)Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks., , , , , , , , and . Sci. China Inf. Sci., 59 (2): 1-5 (2016)Performance Estimation Techniques With MPSoC Transaction-Accurate Models., , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 32 (12): 1920-1933 (2013)Scalable NoC-based Neuromorphic Hardware Learning and Inference., , , and . CoRR, (2018)TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications., , and . IEEE Access, (2019)Learning to Manipulate Artistic Images., , , and . AAAI, page 1994-2002. AAAI Press, (2024)Event-based Action Recognition Using Motion Information and Spiking Neural Networks., , , , and . IJCAI, page 1743-1749. ijcai.org, (2021)Relative ordering learning in spiking neural network for pattern recognition., , , and . Neurocomputing, (2018)