3 papers
cs.NE2025
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Huifeng Yin, Hanle Zheng, Jiayi Mao +6
Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is…
cs.CV2024
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
Yuhong Chen, Ailin Song, Huifeng Yin +5
The rapid evolution of multimedia technology has revolutionized human perception, paving the way for multi-view learning. However, traditional multi-view learning approaches are ta…
cs.AI2024
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
Mingkun Xu, Huifeng Yin, Yujie Wu +5
In recent years, spiking neural networks (SNNs) have attracted substantial interest due to their potential to replicate the energy-efficient and event-driven processing of biologic…