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• W2895857296 abstract "With the development of artificial neural network (ANN), the conflict between performance, power consumption, and volume becomes more obvious. The spiking neuron network(SNN) is the main brain-like ANN model, of which the calculation of membrane potential is the key. Since the efficiency of this type of computation is main consideration of determining the entire neural network, we introduce a design characterized by a relatively lightweight and simple structure in an asynchronous way, which is also more compatible with the SNN. We also verify our design with FPGA successful." @default.
• W2895857296 created "2018-10-26" @default.
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• W2895857296 date "2018-06-01" @default.
• W2895857296 modified "2023-09-26" @default.
• W2895857296 title "An Asynchronous Pipeline based Implementation of Membrane Potential of IF model" @default.
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• W2895857296 doi "https://doi.org/10.1109/edssc.2018.8487125" @default.
• W2895857296 hasPublicationYear "2018" @default.
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