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Spatio-Temporal Backpropagation for Training High-performance Spiking
  Neural Networks
v1v2v3 (latest)

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

8 June 2017
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
ArXiv (abs)PDFHTML

Papers citing "Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks"

15 / 415 papers shown
Title
A Spiking Network for Inference of Relations Trained with Neuromorphic
  Backpropagation
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation
Johannes C. Thiele
O. Bichler
A. Dupret
S. Solinas
Giacomo Indiveri
35
5
0
11 Mar 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
82
100
0
06 Mar 2019
Deep Spiking Neural Network with Spike Count based Learning Rule
Deep Spiking Neural Network with Spike Count based Learning Rule
Jibin Wu
Yansong Chua
Malu Zhang
Qu Yang
Guoqi Li
Haizhou Li
68
53
0
15 Feb 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural
  Network for Memory-Efficient Neuromorphic Computing
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
G. Srinivasan
Kaushik Roy
71
61
0
11 Feb 2019
A Biologically Plausible Supervised Learning Method for Spiking Neural
  Networks Using the Symmetric STDP Rule
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao
Xuhui Huang
Meng Dong
Bo Xu
96
155
0
17 Dec 2018
An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
Hyeryung Jang
Osvaldo Simeone
Brian Gardner
André Grüning
13
2
0
10 Dec 2018
Training Dynamic Exponential Family Models with Causal and Lateral
  Dependencies for Generalized Neuromorphic Computing
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing
Hyeryung Jang
Osvaldo Simeone
57
8
0
21 Oct 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
82
664
0
16 Sep 2018
Unsupervised Learning of a Hierarchical Spiking Neural Network for
  Optical Flow Estimation: From Events to Global Motion Perception
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
Federico Paredes-Valles
Kirk Y. W. Scheper
Guido C. H. E de Croon
59
156
0
28 Jul 2018
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power
  of neuromorphic datasets in the time domain
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain
Laxmi R. Iyer
Yansong Chua
Haizhou Li
68
53
0
03 Jul 2018
BindsNET: A machine learning-oriented spiking neural networks library in
  Python
BindsNET: A machine learning-oriented spiking neural networks library in Python
Hananel Hazan
D. J. Saunders
Hassaan Khan
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
AI4CE
76
233
0
04 Jun 2018
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking
  Neural Networks
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Yingyezhe Jin
Wenrui Zhang
Peng Li
80
176
0
21 May 2018
Deep Learning in Spiking Neural Networks
Deep Learning in Spiking Neural Networks
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
98
1,083
0
22 Apr 2018
Bio-inspired digit recognition using reward-modulated
  spike-timing-dependent plasticity in deep convolutional networks
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
S. Thorpe
T. Masquelier
85
160
0
31 Mar 2018
BP-STDP: Approximating Backpropagation using Spike Timing Dependent
  Plasticity
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity
A. Tavanaei
Anthony Maida
72
191
0
12 Nov 2017
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