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Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.

, , , , , , and . IEEE Trans. Biomed. Circuits Syst., 14 (6): 1138-1159 (2020)

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Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA., and . ISCAS, page 1-5. IEEE, (2019)MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems., , , and . Neurocomputing, (2022)Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures., , , , , , and . ISCAS, page 1107-1111. IEEE, (2022)Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge., , , and . IEEE Access, (2019)Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System., , and . ISCAS, page 1-5. IEEE, (2018)Unsupervised character recognition with graphene memristive synapses., , , , and . Neural Comput. Appl., 36 (4): 1569-1584 (February 2024)Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 66-I (4): 1558-1570 (2019)A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing., , , , , , and . CoRR, (2024)Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge., and . ISCAS, page 1. IEEE, (2020)Biologically Plausible Contrast Detection using a Memristor Array., , and . ISCAS, page 1-5. IEEE, (2020)