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Learning Delays in Spiking Neural Networks using Dilated Convolutions
  with Learnable Spacings

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

30 June 2023
Ilyass Hammouamri
Ismail Khalfaoui-Hassani
T. Masquelier
ArXivPDFHTML

Papers citing "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings"

13 / 13 papers shown
Title
Fundamental Survey on Neuromorphic Based Audio Classification
Fundamental Survey on Neuromorphic Based Audio Classification
Amlan Basu
Pranav Chaudhari
Gaetano Di Caterina
AI4TS
33
0
0
20 Feb 2025
Unsupervised Particle Tracking with Neuromorphic Computing
Emanuele Coradin
Fabio Cufino
Muhammad Awais
Tommaso Dorigo
Enrico Lupi
Eleonora Porcu
Jinu Raj
Fredrik Sandin
Mia Tosi
43
0
0
10 Feb 2025
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
Peng Xue
Wei Fang
Zhengyu Ma
Zihan Huang
Zhaokun Zhou
Yonghong Tian
T. Masquelier
Huihui Zhou
54
0
0
24 Jan 2025
S7: Selective and Simplified State Space Layers for Sequence Modeling
S7: Selective and Simplified State Space Layers for Sequence Modeling
Taylan Soydan
Nikola Zubić
Nico Messikommer
Siddhartha Mishra
Davide Scaramuzza
47
4
0
04 Oct 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
Robert Legenstein
48
3
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
34
0
0
02 Aug 2024
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for
  Conversion of Spiking Neural Networks
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
Xiang He
Yang Li
Dongcheng Zhao
Qingqun Kong
Yi Zeng
50
6
0
23 Mar 2023
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
113
196
0
08 Mar 2023
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Thomas Nowotny
J. Turner
James C. Knight
30
15
0
02 Dec 2022
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
145
243
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
124
200
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
123
479
0
08 Feb 2021
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
Robert Legenstein
Wolfgang Maass
121
481
0
26 Mar 2018
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