5 citations · 13 across the 4 of their papers we have counts for
5 papers
SeqXFilter: A Memory-efficient Denoising Filter for Dynamic Vision Sensors
Shasha Guo, Lei Wang, Xiaofan Chen +3
Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imaging sensors. However, they are sensitive to ba…
A Noise Filter for Dynamic Vision Sensors using Self-adjusting Threshold
Shasha Guo, Ziyang Kang, Lei Wang +4
Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers. However, they are sensitive to background…
Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines
Shasha Guo, Lianhua Qu, Lei Wang +3
Spiking Neural Networks (SNN) have gained increasing attention for its low power consumption. But training SNN is challenging. Liquid State Machine (LSM), as a major type of Reserv…
A Neural Architecture Search based Framework for Liquid State Machine Design
Shuo Tian, Lianhua Qu, Kai Hu +3
Liquid State Machine (LSM), also known as the recurrent version of Spiking Neural Networks (SNN), has attracted great research interests thanks to its high computational power, bio…
SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform
Shiming Li, Shasha Guo, Limeng Zhang +5
Spiking neural network (SNN), as the third generation of artificial neural networks, has been widely adopted in vision and audio tasks. Nowadays, many neuromorphic platforms suppor…