Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA
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DOI: 10.1016/j.neucom.2016.09.071
Abstract: 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… read more here.
Keywords: energy efficient; parallel neuromorphic; energy; approximate arithmetic ... See more keywords