2 papers
cs.NE2026
Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
Boxuan Zhang, Jiaxin Wang, Zhen Xu +1
Spiking Neural Networks (SNNs) are promising energy-efficient models and powerful framworks of modeling neuron dynamics. However, existing binary spiking neurons exhibit limited bi…
cs.NE2026
Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
Boxuan Zhang, Zhen Xu, Kuan Tao
Spiking Neural Networks (SNNs) have received widespread attention due to their event-driven and low-power characteristics, making them particularly effective for processing neuromo…