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Co-learning synaptic delays, weights and adaptation in spiking neural
  networks

Co-learning synaptic delays, weights and adaptation in spiking neural networks

12 September 2023
Lucas Deckers
Lauren Damme
Ing Jyh Tsang
W. V. Leekwijck
Steven Latré
ArXivPDFHTML

Papers citing "Co-learning synaptic delays, weights and adaptation in spiking neural networks"

10 / 10 papers shown
Title
Twin Network Augmentation: A Novel Training Strategy for Improved
  Spiking Neural Networks and Efficient Weight Quantization
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization
Lucas Deckers
Benjamin Vandersmissen
Ing Jyh Tsang
W. V. Leekwijck
Steven Latré
MQ
25
1
0
24 Sep 2024
Inferno: An Extensible Framework for Spiking Neural Networks
Inferno: An Extensible Framework for Spiking Neural Networks
Marissa Dominijanni
BDL
20
0
0
17 Sep 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig
Romain Ferrand
Silvester Sabathiel
R. Legenstein
40
4
0
14 Aug 2024
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
Hugo Aguettaz
Hans-Andrea Loeliger
19
0
0
02 Aug 2024
The Role of Temporal Hierarchy in Spiking Neural Networks
The Role of Temporal Hierarchy in Spiking Neural Networks
Filippo Moro
Pau Vilimelis Aceituno
Laura Kriener
Melika Payvand
AI4CE
32
2
0
26 Jul 2024
Exploring neural oscillations during speech perception via surrogate
  gradient spiking neural networks
Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks
Alexandre Bittar
Philip N. Garner
19
0
0
22 Apr 2024
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency
  Spiking Neural Networks
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
193
0
08 Mar 2023
Spikformer: When Spiking Neural Network Meets Transformer
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou
Yuesheng Zhu
Chao He
Yaowei Wang
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
143
236
0
29 Sep 2022
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
197
0
28 Feb 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
470
0
08 Feb 2021
1