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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"

50 / 415 papers shown
Title
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
206
207
0
28 Feb 2021
Combining Spiking Neural Network and Artificial Neural Network for
  Enhanced Image Classification
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification
Naoya Muramatsu
Haiyun Yu
40
3
0
21 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
231
500
0
08 Feb 2021
Encrypted Internet traffic classification using a supervised Spiking
  Neural Network
Encrypted Internet traffic classification using a supervised Spiking Neural Network
Ali Rasteh
Floriane Delpech
Carlos Aguilar-Melchor
Romain Zimmer
Saeed Bagheri Shouraki
T. Masquelier
30
18
0
24 Jan 2021
A Spike Learning System for Event-driven Object Recognition
A Spike Learning System for Event-driven Object Recognition
Shibo Zhou
Wei Wang
Xiaohua Li
Zhanpeng Jin
62
6
0
21 Jan 2021
Temporal Surrogate Back-propagation for Spiking Neural Networks
Temporal Surrogate Back-propagation for Spiking Neural Networks
Yukun Yang
43
1
0
18 Nov 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
64
106
0
12 Nov 2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Hanle Zheng
Yujie Wu
Lei Deng
Yifan Hu
Guoqi Li
78
529
0
29 Oct 2020
Spiking Neural Networks -- Part I: Detecting Spatial Patterns
Spiking Neural Networks -- Part I: Detecting Spatial Patterns
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
65
10
0
27 Oct 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network
  for Continuous Control
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang
Neelesh Kumar
Raymond Yoo
Konstantinos Michmizos
117
77
0
19 Oct 2020
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for
  Network Intrusion Detection
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
Shibo Zhou
Xiaohua Li
AAML
82
13
0
15 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible
  Reward Propagation
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation
Tielin Zhang
Shuncheng Jia
Xiang Cheng
Bo Xu
84
48
0
09 Oct 2020
Finite Meta-Dynamic Neurons in Spiking Neural Networks for
  Spatio-temporal Learning
Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning
Xiang Cheng
Tielin Zhang
Shuncheng Jia
Bo Xu
AI4CE
84
14
0
07 Oct 2020
DCT-SNN: Using DCT to Distribute Spatial Information over Time for
  Learning Low-Latency Spiking Neural Networks
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks
Isha Garg
Sayeed Shafayet Chowdhury
Kaushik Roy
46
14
0
05 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking
  Neural Networks from Scratch
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
Youngeun Kim
Priyadarshini Panda
102
175
0
05 Oct 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
Nguyen-Dong Ho
I. Chang
70
52
0
11 Aug 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization
  in Deep Spiking Neural Networks
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi
Kaushik Roy
112
135
0
09 Aug 2020
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic
  Spiking Neural Networks
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks
A. Babu
Osvaldo Simeone
Bipin Rajendran
21
1
0
05 Aug 2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile
  Object Recognition
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
Fuqiang Gu
Weicong Sng
Tasbolat Taunyazov
Harold Soh
35
39
0
01 Aug 2020
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
169
531
0
11 Jul 2020
Multivariate Time Series Classification Using Spiking Neural Networks
Multivariate Time Series Classification Using Spiking Neural Networks
Haowen Fang
Amar Shrestha
Qinru Qiu
43
16
0
07 Jul 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking
  Neural Networks
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu
Chenglin Xu
Daquan Zhou
Haizhou Li
Kay Chen Tan
67
115
0
02 Jul 2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural
  Networks
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
Jinseok Kim
Kyungsu Kim
Jae-Joon Kim
84
53
0
04 Jun 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with
  Double-threshold and Augmented Schemes
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Qiang Yu
Chenxiang Ma
Shiming Song
Gaoyan Zhang
Jianwu Dang
Kay Chen Tan
69
52
0
05 May 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
173
304
0
04 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a
  Survey
Spiking Neural Networks Hardware Implementations and Challenges: a Survey
Maxence Bouvier
A. Valentian
T. Mesquida
F. Rummens
M. Reyboz
Elisa Vianello
E. Beigné
90
117
0
04 May 2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities
  and Differences
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Weihua He
Yujie Wu
Lei Deng
Guoqi Li
Haoyu Wang
Yang Tian
Wei Ding
Wenhui Wang
Yuan Xie
130
126
0
02 May 2020
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning
  Architectures
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures
Richard C. Gerum
A. Schilling
AI4CE
32
17
0
28 Apr 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
100
53
0
27 Mar 2020
Rectified Linear Postsynaptic Potential Function for Backpropagation in
  Deep Spiking Neural Networks
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
Malu Zhang
Jiadong Wang
Burin Amornpaisannon
Zhixuan Zhang
VPK Miriyala
...
Hong Qu
Jibin Wu
Yansong Chua
Trevor E. Carlson
Haizhou Li
93
21
0
26 Mar 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects
  of Discrete Input Encoding and Non-Linear Activations
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
157
91
0
23 Mar 2020
Event-Based Angular Velocity Regression with Spiking Networks
Event-Based Angular Velocity Regression with Spiking Networks
Mathias Gehrig
S. Shrestha
Daniel Mouritzen
Davide Scaramuzza
55
86
0
05 Mar 2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for
  Energy-Efficient Mapless Navigation with Neuromorphic Hardware
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware
Guangzhi Tang
Neelesh Kumar
Konstantinos Michmizos
84
81
0
02 Mar 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper
  High-Accuracy and Low-Latency Spiking Neural Network
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han
G. Srinivasan
Kaushik Roy
93
320
0
25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking
  Neural Networks
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang
Peng Li
85
223
0
24 Feb 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal
  Learning of Deep Spiking Neural Network
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Haowen Fang
Amar Shrestha
Ziyi Zhao
Qinru Qiu
73
120
0
19 Feb 2020
Exploring Adversarial Attack in Spiking Neural Networks with
  Spike-Compatible Gradient
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang
Xing Hu
Lei Deng
Yujie Wu
Guoqi Li
Yufei Ding
Peng Li
Yuan Xie
AAML
119
63
0
01 Jan 2020
Technical report: supervised training of convolutional spiking neural
  networks with PyTorch
Technical report: supervised training of convolutional spiking neural networks with PyTorch
Romain Zimmer
Thomas Pellegrini
S. Singh
T. Masquelier
66
32
0
22 Nov 2019
Comprehensive SNN Compression Using ADMM Optimization and Activity
  Regularization
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Lei Deng
Yujie Wu
Yifan Hu
Ling Liang
Guoqi Li
Xing Hu
Yufei Ding
Peng Li
Yuan Xie
78
85
0
03 Nov 2019
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic
  Models, Learning Rules, and Applications
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
Hyeryung Jang
Osvaldo Simeone
Brian Gardner
A. Gruning
TPM
47
73
0
02 Oct 2019
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed
  Object Tracking
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking
Zheyu Yang
Yujie Wu
Guanrui Wang
Yukuan Yang
Guoqi Li
Lei Deng
Jun Zhu
Luping Shi
71
44
0
15 Sep 2019
Minibatch Processing in Spiking Neural Networks
Minibatch Processing in Spiking Neural Networks
D. J. Saunders
Cooper Sigrist
Kenneth Chaney
R. Kozma
H. Siegelmann
36
3
0
05 Sep 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking
  Neural Networks
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang
Peng Li
74
124
0
18 Aug 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function:
  Learning with Backpropagation
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia Comsa
Krzysztof Potempa
Luca Versari
T. Fischbacher
Andrea Gesmundo
J. Alakuijala
81
179
0
30 Jul 2019
Reinforcement Learning with Low-Complexity Liquid State Machines
Reinforcement Learning with Low-Complexity Liquid State Machines
Wachirawit Ponghiran
G. Srinivasan
Kaushik Roy
45
14
0
04 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing
  Backpropagation with Spikes
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
Johannes C. Thiele
O. Bichler
A. Dupret
60
33
0
03 Jun 2019
Synthesizing Images from Spatio-Temporal Representations using
  Spike-based Backpropagation
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
46
22
0
24 May 2019
Event-based Vision: A Survey
Event-based Vision: A Survey
Guillermo Gallego
T. Delbruck
Garrick Orchard
Chiara Bartolozzi
B. Taba
...
Stefan Leutenegger
Andrew J. Davison
Jorg Conradt
Kostas Daniilidis
Davide Scaramuzza
96
1,818
0
17 Apr 2019
Improved robustness of reinforcement learning policies upon conversion
  to spiking neuronal network platforms applied to ATARI games
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
Devdhar Patel
Hananel Hazan
D. J. Saunders
H. Siegelmann
R. Kozma
OffRL
19
9
0
26 Mar 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network
  Architectures
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures
Chankyu Lee
Syed Shakib Sarwar
Priyadarshini Panda
G. Srinivasan
Kaushik Roy
104
398
0
15 Mar 2019
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