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Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework
[article]
2021
arXiv
pre-print
Recently, brain-inspired computing models have shown great potential to outperform today's deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking Neural Networks (SNNs) and HyperDimensional Computing (HDC) have shown promising results in enabling efficient and robust cognitive learning. Despite the success, these two brain-inspired models have different strengths. While SNN mimics the physical properties of the human brain, HDC models the brain on a more
arXiv:2110.00214v1
fatcat:kjaxx2xjzze7zbbl56h2bbwemu