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In this paper, we present the parallel neuromorphic processor architectures for spiking neural networks on FPGA. The proposed architectures address several critical issues pertaining to efficient parallelization of the update of membrane potentials, on-chip storage of synaptic weights and integration of approximate arithmetic units. The trade-offs between throughput, hardware cost and power overheads...
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