118 citations · 227 across the 11 of their papers we have counts for
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cs.NE2020★ 1 cited
Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training
Wenrui Zhang, Peng Li
As an important class of spiking neural networks (SNNs), recurrent spiking neural networks (RSNNs) possess great computational power and have been widely used for processing sequen…
cs.NE2020★ 118 cited
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang, Peng Li
Spiking neural networks (SNNs) are well suited for spatio-temporal learning and implementations on energy-efficient event-driven neuromorphic processors. However, existing SNN erro…
cs.NE2020★ 16 cited
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang, Xing Hu, Lei Deng +5
Recently, backpropagation through time inspired learning algorithms are widely introduced into SNNs to improve the performance, which brings the possibility to attack the models ac…