Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
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
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2023.1125844
Abstract: We present an innovative working mechanism (the SBC memory) and surrounding infrastructure (BitBrain) based upon a novel synthesis of ideas from sparse coding, computational neuroscience and information theory that enables fast and adaptive learning and… read more here.
Keywords: sbc memories; sparse binary; neuromorphic architectures; binary coincidence ... See more keywords