21 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.NE2020
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs
Xingyu Yang, Mingyuan Meng, Shanlin Xiao +1
Spiking neural networks (SNNs) receive widespread attention because of their low-power hardware characteristic and brain-like signal response mechanism, but currently, the performa…
cs.NE2020★ 7 cited
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
Mingyuan Meng, Xingyu Yang, Shanlin Xiao +1
Spiking Neural Network (SNN), as a brain-inspired approach, is attracting attention due to its potential to produce ultra-high-energy-efficient hardware. Competitive learning based…
cs.NE2020★ 21 cited
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning
Mingyuan Meng, Xingyu Yang, Lei Bi +3
Spiking Neural Networks (SNNs) are brain-inspired, event-driven machine learning algorithms that have been widely recognized in producing ultra-high-energy-efficient hardware. Amon…