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Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking
  Neural Networks
v1v2v3v4v5v6 (latest)

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

21 May 2018
Yingyezhe Jin
Wenrui Zhang
Peng Li
ArXiv (abs)PDFHTML

Papers citing "Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks"

50 / 73 papers shown
Title
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
Boxun Xu
Richard Boone
Peng Li
81
0
0
18 May 2025
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
97
2
0
08 Jul 2024
Efficient Online Learning for Networks of Two-Compartment Spiking
  Neurons
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
Yujia Yin
Xinyi Chen
Chenxiang Ma
Jibin Wu
Kay Chen Tan
81
0
0
25 Feb 2024
Forward Direct Feedback Alignment for Online Gradient Estimates of
  Spiking Neural Networks
Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks
Florian Bacho
Dminique Chu
44
0
0
06 Feb 2024
Parametric Matrix Models
Parametric Matrix Models
Patrick Cook
Danny Jammooa
Morten Hjorth-Jensen
Daniel D. Lee
Dean Lee
PINN
40
4
0
22 Jan 2024
DISTA: Denoising Spiking Transformer with intrinsic plasticity and
  spatiotemporal attention
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention
Boxun Xu
Hejia Geng
Yuxuan Yin
Peng Li
77
2
0
15 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Md. Sakib Hasan
Catherine D. Schuman
Zhongyang Zhang
Tauhidur Rahman
Garrett S. Rose
114
1
0
15 Oct 2023
Membrane Potential Distribution Adjustment and Parametric Surrogate
  Gradient in Spiking Neural Networks
Membrane Potential Distribution Adjustment and Parametric Surrogate Gradient in Spiking Neural Networks
Siqi Wang
Tee Hiang Cheng
M. Lim
28
0
0
26 Apr 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Zecheng Hao
Tong Bu
Jianhao Ding
Tiejun Huang
Zhaofei Yu
119
62
0
04 Feb 2023
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural
  Networks
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
102
12
0
01 Feb 2023
Exploring Tradeoffs in Spiking Neural Networks
Exploring Tradeoffs in Spiking Neural Networks
Florian Bacho
Dominique F. Chu
45
1
0
15 Dec 2022
Timing-Based Backpropagation in Spiking Neural Networks Without
  Single-Spike Restrictions
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
Kakei Yamamoto
Yusuke Sakemi
Kazuyuki Aihara
49
2
0
29 Nov 2022
PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based
  on Predictive Coding in Spiking Neural Networks
PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks
Mengting Lan
Xiaogang Xiong
Zixuan Jiang
Y. Lou
41
4
0
24 Nov 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward
  Propagation
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
Jane Lee
Saeid Haghighatshoar
Amin Karbasi
64
0
0
18 Oct 2022
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
92
67
0
09 Oct 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal
  Classification
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
Biswadeep Chakraborty
Saibal Mukhopadhyay
85
21
0
22 Sep 2022
A temporally and spatially local spike-based backpropagation algorithm
  to enable training in hardware
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware
Anmol Biswas
V. Saraswat
U. Ganguly
AAML
45
1
0
20 Jul 2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural
  Network for Object Detection and Segmentation
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
Yang Li
Xiang He
Yiting Dong
Qingqun Kong
Yi Zeng
78
28
0
06 Jul 2022
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Rui-Jie Zhu
Tian-Jing Zhang
Qihang Zhao
Haoyu Deng
Yule Duan
Liang-Jian Deng
AI4TS
112
59
0
21 Jun 2022
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking
  Neural Networks
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
Jianxiong Tang
Jianhuang Lai
Xiaohua Xie
Lingxiao Yang
Weimin Zheng
69
15
0
19 Jun 2022
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural
  Networks
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
Hongze Sun
Wuque Cai
Baoxin Yang
Yan Cui
Yang Xia
D. Yao
Daqing Guo
64
14
0
10 Jun 2022
DPSNN: A Differentially Private Spiking Neural Network with Temporal
  Enhanced Pooling
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling
Jihang Wang
Dongcheng Zhao
Guobin Shen
Qian Zhang
Yingda Zeng
82
2
0
24 May 2022
Spikemax: Spike-based Loss Methods for Classification
Spikemax: Spike-based Loss Methods for Classification
S. Shrestha
Longwei Zhu
Pengfei Sun
83
15
0
19 May 2022
Spiking Graph Convolutional Networks
Spiking Graph Convolutional Networks
Zulun Zhu
Jiaying Peng
Jintang Li
Liang Chen
Qi Yu
Siqiang Luo
GNN
62
46
0
05 May 2022
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and
  Plasticity into Bio-Plausible Spiking Neural Networks
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
Chengting Yu
Yang-Guang Du
Mufeng Chen
Aili Wang
Gaoang Wang
Erping Li
AAML
95
3
0
21 Apr 2022
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal
  Compression and Synaptic Convolutional Block
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block
Changqin Xu
Yi Liu
Yintang Yang
38
7
0
18 Mar 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
39
1
0
19 Feb 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
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
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
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
93
29
0
15 Nov 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
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
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
51
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
66
28
0
25 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
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
67
41
0
13 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
75
42
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
74
27
0
08 May 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
78
530
0
29 Oct 2020
Skip-Connected Self-Recurrent Spiking Neural Networks with Joint
  Intrinsic Parameter and Synaptic Weight Training
Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training
Wenrui Zhang
Peng Li
68
13
0
23 Oct 2020
SPA: Stochastic Probability Adjustment for System Balance of
  Unsupervised SNNs
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs
Xingyu Yang
Mingyuan Meng
Shanlin Xiao
Zhiyi Yu
28
1
0
19 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
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
178
531
0
11 Jul 2020
Long Short-Term Memory Spiking Networks and Their Applications
Long Short-Term Memory Spiking Networks and Their Applications
Ali Lotfi-Rezaabad
S. Vishwanath
79
62
0
09 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
53
0
05 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
129
0
02 May 2020
Hyperparameter Optimization in Binary Communication Networks for
  Neuromorphic Deployment
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa
Catherine D. Schuman
Prasanna Date
Derek C. Rose
Bill Kay
...
Steven R. Young
Ryan Dellana
William M. Severa
T. Potok
Kaushik Roy
37
4
0
21 Apr 2020
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