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Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices.

, , , , , and . ACM Great Lakes Symposium on VLSI, page 379-383. ACM, (2018)

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Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices., , , , , and . ACM Great Lakes Symposium on VLSI, page 379-383. ACM, (2018)A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers., , , , , , , , and . JETC, 14 (2): 19:1-19:21 (2018)High-Level Simulation for Spiking Neuromorphic Computing Systems., , , , and . ISCAS, page 1-5. IEEE, (2018)Dynamic adaptive neural network arrays: a neuromorphic architecture., , and . MLHPC@SC, page 3:1-3:4. ACM, (2015)Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge., , , and . IGSC, page 1-8. IEEE, (2021)A Survey of Neuromorphic Computing and Neural Networks in Hardware., , , , , , and . CoRR, (2017)Spike-based primitives for graph algorithms., , and . CoRR, (2019)Island model for parallel evolutionary optimization of spiking neuromorphic computing., , , and . GECCO (Companion), page 306-307. ACM, (2019)A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems., , , , , , , and . BioCAS, page 1-4. IEEE, (2018)Evaluating online-learning in memristive neuromorphic circuits., , , , , , and . NCS, page 5:1-5:8. ACM, (2017)