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cs.NE2025
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
Jiaqiang Jiang, Lei Wang, Runhao Jiang +2
Brain-inspired spiking neural networks (SNNs) are recognized as a promising avenue for achieving efficient, low-energy neuromorphic computing. Recent advancements have focused on d…
cs.NE2025
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
Shang Xu, Jiayu Zhang, Ziming Wang +3
In recent years, Recurrent Spiking Neural Networks (RSNNs) have shown promising potential in long-term temporal modeling. Many studies focus on improving neuron models and also int…
cs.NE2024
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Lang Qin, Ziming Wang, Runhao Jiang +2
Spiking neural networks (SNNs) are widely applied in various fields due to their energy-efficient and fast-inference capabilities. Applying SNNs to reinforcement learning (RL) can…