Training Feedback Spiking Neural Networks by Implicit Differentiation on
the Equilibrium State

Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State

29 September 2021

Papers citing "Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State"

9 / 9 papers shown

Title
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Enqi Zhang MQ 146 0 0 24 Apr 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer Yufei Guo Xiaode Liu Y. Chen Weihang Peng Yuhan Zhang Zhe Ma MQ 43 1 0 28 Feb 2025
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 54 12 0 28 Oct 2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation Chenlin Zhou Han Zhang Zhaokun Zhou Liutao Yu Zhengyu Ma Huihui Zhou Xiaopeng Fan Yonghong Tian 23 9 0 10 May 2023
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 45 60 0 09 Oct 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 17 134 0 01 May 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 198 0 28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 293 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 119 481 0 26 Mar 2018