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Technical report: supervised training of convolutional spiking neural
  networks with PyTorch

Technical report: supervised training of convolutional spiking neural networks with PyTorch

22 November 2019
Romain Zimmer
Thomas Pellegrini
S. Singh
T. Masquelier
ArXivPDFHTML

Papers citing "Technical report: supervised training of convolutional spiking neural networks with PyTorch"

5 / 5 papers shown
Title
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural
  Networks
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Xing-Hua Yao
Fanrong Li
Zitao Mo
Jianguo Cheng
24
83
0
25 Oct 2022
Evaluation of Neuromorphic Spike Encoding of Sound Using Information
  Theory
Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory
Ahmad El Ferdaoussi
É. Plourde
Jean Rouat
19
1
0
19 Feb 2022
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
481
0
08 Feb 2021
Incorporating Learnable Membrane Time Constant to Enhance Learning of
  Spiking Neural Networks
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
T. Masquelier
Tiejun Huang
Yonghong Tian
72
508
0
11 Jul 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
Robert Legenstein
Wolfgang Maass
121
481
0
26 Mar 2018
1