21 citations · 28 across the 4 of their papers we have counts for
4 papers
In-sensor Computing ANN Capacitive Sensors
Guihua Zhao, Yating Peng, Jiaxin Zhu +2
This letter proposes an in-sensor computing multiply-and-accumulate (MAC) circuit based on capacitance. The MAC circuits can constitute an artificial neural network(ANN) layer and…
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…
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…
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…