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2311.16112
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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
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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
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
Marissa Dominijanni
BDL
20
0
0
17 Sep 2024
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
Hugo Aguettaz
Hans-Andrea Loeliger
19
0
0
02 Aug 2024
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
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
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
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
Shi-Wee Deng
Shi Gu
116
197
0
28 Feb 2021
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
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