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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
Event Transformer. A sparse-aware solution for efficient event data
  processing
Event Transformer. A sparse-aware solution for efficient event data processing
Alberto Sabater
Luis Montesano
Ana C. Murillo
86
52
0
07 Apr 2022
A Novel Neuromorphic Processors Realization of Spiking Deep
  Reinforcement Learning for Portfolio Management
A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management
Amir Saeidi
Forouzan Fallah
Soroush Barmaki
Hamed Farbeh
64
11
0
26 Mar 2022
Training Quantised Neural Networks with STE Variants: the Additive Noise
  Annealing Algorithm
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm
Matteo Spallanzani
G. P. Leonardi
Luca Benini
38
3
0
21 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Yuhang Li
Youngeun Kim
Hyoungseob Park
Tamar Geller
Priyadarshini Panda
101
78
0
11 Mar 2022
Rethinking the role of normalization and residual blocks for spiking
  neural networks
Rethinking the role of normalization and residual blocks for spiking neural networks
Shin-ichi Ikegawa
Ryuji Saiin
Yoshihide Sawada
N. Natori
69
17
0
03 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
230
257
0
24 Feb 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust,
  and Energy-efficient Spiking Neural Networks?
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
Youngeun Kim
Hyoungseob Park
Abhishek Moitra
Abhiroop Bhattacharjee
Yeshwanth Venkatesha
Priyadarshini Panda
AAMLMQ
78
68
0
31 Jan 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural
  Network
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
Lin Zhu
Tianlin Li
Yi Chang
Jianing Li
Tiejun Huang
Yonghong Tian
81
98
0
25 Jan 2022
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
104
92
0
23 Jan 2022
Improving Spiking Neural Network Accuracy Using Time-based Neurons
Improving Spiking Neural Network Accuracy Using Time-based Neurons
Hanseok Kim
Woo-Seok Choi
35
7
0
05 Jan 2022
Advancing Spiking Neural Networks towards Deep Residual Learning
Advancing Spiking Neural Networks towards Deep Residual Learning
Yifan Hu
Lei Deng
Yujie Wu
Man Yao
Guoqi Li
81
96
0
15 Dec 2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated
  Local Backpropagation through Time
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
51
12
0
13 Dec 2021
Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks
Yifan Hu
Yujie Wu
Lei Deng
Guoqi Li
56
5
0
09 Dec 2021
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural
  Networks with Multi-threshold
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold
Changqin Xu
Yi Liu
Yintang Yang
58
12
0
25 Nov 2021
Continuous learning of spiking networks trained with local rules
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
54
13
0
18 Nov 2021
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible
  Routing Rule Between Capsules
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules
Dongcheng Zhao
Yang Li
Yi Zeng
Jihang Wang
Qian Zhang
91
29
0
15 Nov 2021
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking
  Neural Networks
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks
Yukun Yang
Peng Li
70
3
0
14 Nov 2021
Keys to Accurate Feature Extraction Using Residual Spiking Neural
  Networks
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
Alex Vicente-Sola
D. L. Manna
Paul Kirkland
G. D. Caterina
Trevor Bihl University of Strathclyde
53
22
0
10 Nov 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics
  Organized by Astrocyte-modulated Plasticity
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir A. Ivanov
Konstantinos Michmizos
67
35
0
26 Oct 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment
  For Training Deep Spiking Neural Networks
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
Guobin Shen
Dongcheng Zhao
Yi Zeng
71
55
0
17 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for
  Semantic Segmentation
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
Youngeun Kim
Joshua Chough
Priyadarshini Panda
101
81
0
14 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep
  Spiking Neural Networks by Training with Crafted Input Noise
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
Souvik Kundu
Massoud Pedram
Peter A. Beerel
AAML
86
75
0
06 Oct 2021
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural
  Networks
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks
Alan Jeffares
Qinghai Guo
Pontus Stenetorp
Timoleon Moraitis
77
16
0
06 Oct 2021
One Timestep is All You Need: Training Spiking Neural Networks with
  Ultra Low Latency
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency
Sayeed Shafayet Chowdhury
Nitin Rathi
Kaushik Roy
83
41
0
01 Oct 2021
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with
  Memory-Inspired Framework
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework
Zhuowen Zou
H. Alimohamadi
Farhad Imani
Yeseong Kim
Mohsen Imani
106
19
0
01 Oct 2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on
  the Equilibrium State
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
182
66
0
29 Sep 2021
Training Spiking Neural Networks Using Lessons From Deep Learning
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason K. Eshraghian
Max Ward
Emre Neftci
Xinxin Wang
Gregor Lenz
Girish Dwivedi
Bennamoun
Doo Seok Jeong
Wei D. Lu
133
464
0
27 Sep 2021
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
Hafez Ghaemi
Erfan Mirzaei
Mahbod Nouri
Saeed Reza Kheradpisheh
58
2
0
12 Sep 2021
Spike time displacement based error backpropagation in convolutional
  spiking neural networks
Spike time displacement based error backpropagation in convolutional spiking neural networks
M. Mirsadeghi
Majid Shalchian
Saeed Reza Kheradpisheh
T. Masquelier
50
15
0
31 Aug 2021
Distilling Neuron Spike with High Temperature in Reinforcement Learning
  Agents
Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents
Ling Zhang
Jian Cao
Yuan Zhang
Bohan Zhou
Shuo Feng
46
9
0
05 Aug 2021
Composing Recurrent Spiking Neural Networks using Locally-Recurrent
  Motifs and Risk-Mitigating Architectural Optimization
Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
Wenrui Zhang
Hejia Geng
Peng Li
44
5
0
04 Aug 2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking
  Neural Networks
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Ling Liang
Zheng Qu
Zhaodong Chen
Fengbin Tu
Yujie Wu
Lei Deng
Guoqi Li
Peng Li
Yuan Xie
61
28
0
25 Jul 2021
Temporal-wise Attention Spiking Neural Networks for Event Streams
  Classification
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
Man Yao
Huanhuan Gao
Guangshe Zhao
Dingheng Wang
Yihan Lin
Zhao-Xu Yang
Guoqi Li
AI4TS
71
161
0
25 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided
  Compression
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
Souvik Kundu
Gourav Datta
Massoud Pedram
Peter A. Beerel
64
14
0
16 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous
  Cars on the Loihi Neuromorphic Research Processor
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
88
45
0
01 Jul 2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization
  in Graph Learning
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
M. Xu
Yujie Wu
Lei Deng
Faqiang Liu
Guoqi Li
Jing Pei
GNN
38
28
0
30 Jun 2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking
  Neural Networks
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
Yukun Yang
Wenrui Zhang
Peng Li
AAML
167
27
0
22 Jun 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic
  Hardware
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
Alpha Renner
F. Sheldon
Anatoly Zlotnik
L. Tao
A. Sornborger
62
41
0
13 Jun 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural
  Networks Calibration
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Ruihao Gong
Shi Gu
73
195
0
13 Jun 2021
Federated Learning with Spiking Neural Networks
Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
63
48
0
11 Jun 2021
Training Energy-Efficient Deep Spiking Neural Networks with
  Time-to-First-Spike Coding
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding
Seongsik Park
Sungroh Yoon
43
9
0
04 Jun 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural
  Networks
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
J. Hagenaars
Federico Paredes-Valles
Guido de Croon
82
139
0
03 Jun 2021
A Study On the Effects of Pre-processing On Spatio-temporal Action
  Recognition Using Spiking Neural Networks Trained with STDP
A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP
Mireille el Assal
Pierre Tirilly
Ioan Marius Bilasco
23
5
0
31 May 2021
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and
  Balanced Excitatory-Inhibitory Neurons
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons
Dongcheng Zhao
Yi Zeng
Yang Li
75
42
0
27 May 2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Yanqing Chen
Zhaofei Yu
Wei Fang
Tiejun Huang
Yonghong Tian
80
67
0
11 May 2021
In-Hardware Learning of Multilayer Spiking Neural Networks on a
  Neuromorphic Processor
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
Amar Shrestha
Haowen Fang
D. Rider
Zaidao Mei
Qinru Qiu
74
27
0
08 May 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural
  Networks
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
64
40
0
26 Apr 2021
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object
  Detection
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Biswadeep Chakraborty
Xueyuan She
Saibal Mukhopadhyay
98
51
0
21 Apr 2021
Visual Explanations from Spiking Neural Networks using Interspike
  Intervals
Visual Explanations from Spiking Neural Networks using Interspike Intervals
Youngeun Kim
Priyadarshini Panda
AAMLFAtt
78
47
0
26 Mar 2021
Time-Ordered Recent Event (TORE) Volumes for Event Cameras
Time-Ordered Recent Event (TORE) Volumes for Event Cameras
R. W. Baldwin
Ruixu Liu
Mohammed Almatrafi
V. Asari
Keigo Hirakawa
AI4TS
86
109
0
10 Mar 2021
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