2 citations · 4 across the 3 of their papers we have counts for
4 papers
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks
Zhile Yang, Shangqi Guo, Ying Fang +1
One stream of reinforcement learning research is exploring biologically plausible models and algorithms to simulate biological intelligence and fit neuromorphic hardware. Among the…
Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise
Li Liu, Wenju Zhou, Minrui Fei +3
This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties. First, a novel signal selection method ba…
Structured Context Enhancement Network for Mouse Pose Estimation
Feixiang Zhou, Zheheng Jiang, Zhihua Liu +8
Automated analysis of mouse behaviours is crucial for many applications in neuroscience. However, quantifying mouse behaviours from videos or images remains a challenging problem,…
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access
Jinzhi Lin, Shengzhong Feng, Zhile Yang +2
Sparse code multiple access (SCMA) has been one of non-orthogonal multiple access (NOMA) schemes aiming to support high spectral efficiency and ubiquitous access requirements for 5…