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

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

8 June 2017
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
ArXivPDFHTML

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

50 / 160 papers shown
Title
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
133
250
0
24 Feb 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
33
88
0
23 Jan 2022
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
20
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
26
12
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
37
28
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
32
3
0
14 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
34
33
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
41
54
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
48
80
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
24
71
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
41
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
28
40
0
01 Oct 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
26
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
17
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
24
9
0
05 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
27
27
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
23
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
37
45
0
01 Jul 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
116
25
0
22 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
30
185
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
33
47
0
11 Jun 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
35
40
0
27 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
43
26
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
26
38
0
26 Apr 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
30
108
0
10 Mar 2021
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
126
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
481
0
08 Feb 2021
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
19
503
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
13
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
54
74
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
42
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
36
48
0
09 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
35
171
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
20
48
0
11 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
77
508
0
11 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
14
50
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
J. Dang
Kay Chen Tan
28
49
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
124
296
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
61
113
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
88
125
0
02 May 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
43
51
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
22
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
116
86
0
23 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
24
79
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
33
310
0
25 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
16
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
31
61
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
33
32
0
22 Nov 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
31
42
0
15 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
11
124
0
18 Aug 2019
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