Online Training Through Time for Spiking Neural Networks

Online Training Through Time for Spiking Neural Networks

9 October 2022

Papers citing "Online Training Through Time for Spiking Neural Networks"

11 / 11 papers shown

Title
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies Ivan Drokin 22 19 0 01 Jul 2024
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network Runhua Jiang Guodong Du Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang 16 3 0 04 Jun 2024
A differentiable brain simulator bridging brain simulation and brain-inspired computing Chaoming Wang Tianqiu Zhang Sichao He Hongyaoxing Gu Shangyang Li Si Wu 16 4 0 09 Nov 2023
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 109 240 0 24 Feb 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 45 69 0 09 Nov 2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 90 50 0 29 Sep 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 168 0 28 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 450 0 11 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 119 470 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 114 264 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 111 477 0 26 Mar 2018