SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural
Networks

SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks

1 February 2023

Papers citing "SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks"

10 / 10 papers shown

Title
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 105 195 0 08 Mar 2023
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 37 60 0 09 Oct 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 112 243 0 24 Feb 2022
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 103 59 0 29 Sep 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 198 0 28 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 121 474 0 08 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 119 293 0 04 May 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 481 0 26 Mar 2018
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 127 257 0 16 Dec 2016