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- W2101765488 abstract "An FPGA-based systolic architecture for the high speed simulation of spiking neural networks is presented. The design is an implementation of Izhikevich's neuron model and employs optimizations for the typical case where neuron activity is low. Since execution time required is related to the activity level, performance of the design can be improved by an order of magnitude." @default.
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- W2101765488 date "2009-12-01" @default.
- W2101765488 modified "2023-10-18" @default.
- W2101765488 title "A parallel spiking neural network simulator" @default.
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- W2101765488 doi "https://doi.org/10.1109/fpt.2009.5377667" @default.
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