110 citations · 543 across the 15 of their papers we have counts for
15 papers
A Spatial-channel-temporal-fused Attention for Spiking Neural Networks
Wuque Cai, Hongze Sun, Rui Liu +5
Spiking neural networks (SNNs) mimic brain computational strategies, and exhibit substantial capabilities in spatiotemporal information processing. As an essential factor for human…
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
Hongze Sun, Wuque Cai, Baoxin Yang +4
Spiking neural networks (SNNs) have demonstrated excellent capabilities in various intelligent scenarios. Most existing methods for training SNNs are based on the concept of synapt…
Extension of causal decomposition in the mutual complex dynamic process
Yi Zhang, Qin Yang, Lifu Zhang +4
Causal decomposition depicts a cause-effect relationship that is not based on the concept of prediction, but based on the phase dependence of time series. It has been validated in…
Time irreversibility and amplitude irreversibility measures for nonequilibrium processes
Wenpo Yao, Jun Wang, Matjaz Perc +4
Time irreversibility, which characterizes nonequilibrium processes, can be measured based on the probabilistic differences between symmetric vectors. To simplify the quantification…
Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy
Cunbo Li, Peiyang Li, Yangsong Zhang +5
Brain neural networks characterize various information propagation patterns for different emotional states. However, the statistical features based on traditional graph theory may…
Functional importance of noise in neuronal information processing
Daqing Guo, Matjaz Perc, Tiejun Liu +1
Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in neuronal activity at different spatiotemporal scales, including in neuronal membrane po…