most citedA Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

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cs.NE2018★ 191 cited

A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

Yunzhe Hao, Xuhui Huang, Meng Dong +1

Spiking neural networks (SNNs) possess energy-efficient potential due to event-based computation. However, supervised training of SNNs remains a challenge as spike activities are n…