activity
20112024
most citedComplex synchronous behavior in interneuronal networks with delayed inhibitory and fast electrical synapses

199 citations · 742 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2024★ 18 cited

Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion

Hongze Sun, Rui Liu, Wuque Cai +6

Visual object tracking, which is primarily based on visible light image sequences, encounters numerous challenges in complicated scenarios, such as low light conditions, high dynam…

cs.CV2022★ 2 cited

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…

cs.NE2022★ 1 cited

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…

eess.SP2020★ 18 cited

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…

q-bio.NC2018★ 69 cited

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…

q-bio.NC2018★ 2 cited

Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs

Yangsong Zhang, Erwei Yin, Fali Li +4

Effective frequency recognition algorithms are critical in steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). In this study, we present a hierarch…