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FPGA Implementation of Simplified Spiking Neural Network
[article]
2020
arXiv
pre-print
Spiking Neural Networks (SNN) are third-generation Artificial Neural Networks (ANN) which are close to the biological neural system. In recent years SNN has become popular in the area of robotics and embedded applications, therefore, it has become imperative to explore its real-time and energy-efficient implementations. SNNs are more powerful than their predecessors because they encode temporal information and use biologically plausible plasticity rules. In this paper, a simpler and
arXiv:2010.01200v1
fatcat:ou2bvu3q75gphiemrioemjgvhy