31 citations · 91 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Neuromorphic Auditory Perception by Neural Spiketrum
Huajin Tang, Pengjie Gu, Jayawan Wijekoon +4
Neuromorphic computing holds the promise to achieve the energy efficiency and robust learning performance of biological neural systems. To realize the promised brain-like intellige…
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Gehua Ma, Rui Yan, Huajin Tang
https://cell.com/patterns/fulltext/S2666-3899(23)00200-3 Networks of spiking neurons underpin the extraordinary information-processing capabi…
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
Ziming Wang, Shuang Lian, Yuhao Zhang +3
Spiking neural networks (SNNs) operating with asynchronous discrete events show higher energy efficiency with sparse computation. A popular approach for implementing deep SNNs is A…