3 papers
cs.NE2025
DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks
Tianqing Zhang, Kairong Yu, Jian Zhang +1
Spiking Neural Networks (SNNs) are valued for their ability to process spatio-temporal information efficiently, offering biological plausibility, low energy consumption, and compat…
cs.NE2025
FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Hongwei Wang +1
Spiking Neural Networks (SNNs) are emerging as a promising alternative to Artificial Neural Networks (ANNs) due to their inherent energy efficiency. Owing to the inherent sparsity…
cs.LG2024
Learning and Current Prediction of PMSM Drive via Differential Neural Networks
Wenjie Mei, Xiaorui Wang, Yanrong Lu +2
Learning models for dynamical systems in continuous time is significant for understanding complex phenomena and making accurate predictions. This study presents a novel approach ut…