An adaptive threshold mechanism for accurate and efficient deep spiking convolutional neural networks

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

Yujie Wu, Lei Deng, Guoqi Li et al. · Frontiers in Neuroscience · 2018 · 1.1K citations · Full text

Computing, Computer Science, Computational Neuroscience +13

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu et al. · Frontiers in Neuroscience · 2017 · 1.1K citations · Full text

Computing, Computer Science, Computer Vision +13

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · arXiv (Cornell University) · 2015 · 1K citations · Full text

Computing, Computer Science, Artificial Intelligence +11

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

Peter U. Diehl, Daniel Neil, Jonathan Binas et al. · 2015 · 1K citations

Computing, Computer Science, Computer Vision +13

Training Deep Spiking Neural Networks Using Backpropagation

Jun Haeng Lee, Tobi Delbrück, Michael Pfeiffer · Frontiers in Neuroscience · 2016 · 985 citations · Full text

Computing, Computer Science, Computer Vision +13