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

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

Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
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Papers citing "Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State"

5 / 5 papers shown
Title
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Enqi Zhang
MQ
36
0
0
24 Apr 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
Yufei Guo
Xiaode Liu
Y. Chen
Weihang Peng
Yuhan Zhang
Zhe Ma
MQ
29
0
0
28 Feb 2025
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shi-Wee Deng
Shi Gu
116
168
0
28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
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
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
108
477
0
26 Mar 2018