3 papers
cs.CV2025
ParaRevSNN: A Parallel Reversible Spiking Neural Network for Efficient Training and Inference
Changqing Xu, Guoqing Sun, Yi Liu +2
Reversible Spiking Neural Networks (RevSNNs) enable memory-efficient training by reconstructing forward activations during backpropagation, but suffer from high latency due to stri…
cs.NE2025
SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
Changqing Xu, Buxuan Song, Yi Liu +3
Spiking Neural Networks (SNNs), as an emerging biologically inspired computational model, demonstrate significant energy efficiency advantages due to their event-driven information…
cs.CV2025
FFGAF-SNN: The Forward-Forward Based Gradient Approximation Free Training Framework for Spiking Neural Networks
Changqing Xu, Ziqiang Yang, Yi Liu +4
Spiking Neural Networks (SNNs) offer a biologically plausible framework for energy-efficient neuromorphic computing. However, it is a challenge to train SNNs due to their non-diffe…