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Training Deep Spiking Neural Networks using Backpropagation

Training Deep Spiking Neural Networks using Backpropagation

31 August 2016
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
ArXiv (abs)PDFHTML

Papers citing "Training Deep Spiking Neural Networks using Backpropagation"

50 / 337 papers shown
Title
Hebbian Learning based Orthogonal Projection for Continual Learning of
  Spiking Neural Networks
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
CLL
110
8
0
19 Feb 2024
Time-Distributed Backdoor Attacks on Federated Spiking Learning
Time-Distributed Backdoor Attacks on Federated Spiking Learning
Gorka Abad
S. Picek
A. Urbieta
AAMLFedML
100
2
0
05 Feb 2024
Benchmarking Spiking Neural Network Learning Methods with Varying Locality
Benchmarking Spiking Neural Network Learning Methods with Varying Locality
Jiaqi Lin
Sen Lu
Malyaban Bal
Abhronil Sengupta
61
2
0
01 Feb 2024
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre
  Memory Units
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Zeyu Liu
Gourav Datta
Anni Li
Peter A. Beerel
68
10
0
20 Jan 2024
Fully Spiking Actor Network with Intra-layer Connections for
  Reinforcement Learning
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning
Ding Chen
Peixi Peng
Tiejun Huang
Yonghong Tian
86
7
0
09 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN
  Ticket
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Zhaokun Zhou
Kaiwei Che
Wei Fang
Keyu Tian
Yuesheng Zhu
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
ViT
112
33
0
04 Jan 2024
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate,
  & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
Gourav Datta
Zeyu Liu
James Diffenderfer
B. Kailkhura
Peter A. Beerel
130
1
0
12 Dec 2023
Fully Spiking Denoising Diffusion Implicit Models
Fully Spiking Denoising Diffusion Implicit Models
Ryo Watanabe
Yusuke Mukuta
Tatsuya Harada
DiffM
63
3
0
04 Dec 2023
Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large
  Vision-Language Models
Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models
Dong Li
Jiandong Jin
Yuhao Zhang
Yanlin Zhong
Yaoyang Wu
Lan Chen
Tianlin Li
Bin Luo
114
6
0
30 Nov 2023
Addressing the speed-accuracy simulation trade-off for adaptive spiking
  neurons
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor
Andrew J. King
N. Harper
62
7
0
19 Nov 2023
SpikingJelly: An open-source machine learning infrastructure platform
  for spike-based intelligence
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Wei Fang
Yanqing Chen
Jianhao Ding
Zhaofei Yu
T. Masquelier
Ding Chen
Liwei Huang
Huihui Zhou
Guoqi Li
Yonghong Tian
112
235
0
25 Oct 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
121
1
0
15 Oct 2023
Fully Spiking Neural Network for Legged Robots
Fully Spiking Neural Network for Legged Robots
Xiaoyang Jiang
Qiang Zhang
Jingkai Sun
Jiahang Cao
Jingtong Ma
Renjing Xu
80
6
0
08 Oct 2023
Event-Driven Imaging in Turbid Media: A Confluence of Optoelectronics
  and Neuromorphic Computation
Event-Driven Imaging in Turbid Media: A Confluence of Optoelectronics and Neuromorphic Computation
Ning Zhang
Timothy Shea
A. Nurmikko
30
1
0
13 Sep 2023
Enabling energy-Efficient object detection with surrogate gradient
  descent in spiking neural networks
Enabling energy-Efficient object detection with surrogate gradient descent in spiking neural networks
Jilong Luo
Shanlin Xiao
Yinsheng Chen
Zhiyi Yu
46
0
0
07 Sep 2023
Label-Free Event-based Object Recognition via Joint Learning with Image
  Reconstruction from Events
Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
Hoonhee Cho
Hyeonseong Kim
Yujeong Chae
Kuk-Jin Yoon
VLM
67
24
0
18 Aug 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking
  Neural Networks
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Yu-Zhu Guo
Xiaode Liu
Y. Chen
Liwen Zhang
Weihang Peng
Yuhan Zhang
Xuhui Huang
Zhe Ma
AAMLMQ
96
24
0
13 Aug 2023
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
F. Nikfam
Raffaele Casaburi
Alberto Marchisio
Maurizio Martina
Mohamed Bennai
71
3
0
10 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
69
4
0
09 Aug 2023
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear
  Transforms
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms
Qingyu Wang
Duzhen Zhang
Tielin Zhang
Bo Xu
78
3
0
02 Aug 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A
  Survey
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
72
12
0
30 Jul 2023
Deep Multi-Threshold Spiking-UNet for Image Processing
Deep Multi-Threshold Spiking-UNet for Image Processing
Hebei Li
Yueyi Zhang
Zhiwei Xiong
Xiaoyan Sun
70
7
0
20 Jul 2023
SLSSNN: High energy efficiency spike-train level spiking neural networks
  with spatio-temporal conversion
SLSSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
Changqin Xu
Yi Liu
Yintang Yang
53
1
0
14 Jul 2023
Energy Efficient Personalized Hand-Gesture Recognition with Neuromorphic
  Computing
Energy Efficient Personalized Hand-Gesture Recognition with Neuromorphic Computing
Muhammad Aitsam
A. D. Nuovo
13
0
0
11 Jul 2023
A Survey of Spiking Neural Network Accelerator on FPGA
A Survey of Spiking Neural Network Accelerator on FPGA
Murat Isik
57
18
0
08 Jul 2023
Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
Yuan Zhang
Jian Cao
Ling Zhang
Jue Chen
Wenyu Sun
Yuan Wang
55
1
0
30 Jun 2023
EventCLIP: Adapting CLIP for Event-based Object Recognition
EventCLIP: Adapting CLIP for Event-based Object Recognition
Ziyi Wu
Xudong Liu
Igor Gilitschenski
VLM
96
17
0
10 Jun 2023
Spike-based computation using classical recurrent neural networks
Spike-based computation using classical recurrent neural networks
Florent De Geeter
D. Ernst
G. Drion
53
1
0
06 Jun 2023
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Yang‐Zhi Hu
Qian Zheng
Xudong Jiang
Gang Pan
MQ
82
52
0
31 May 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets
  Spiking Neural Networks
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li
Huizhe Zhang
Ruofan Wu
Zulun Zhu
Baokun Wang
Changhua Meng
Zibin Zheng
Liang Chen
SSL
62
9
0
30 May 2023
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing
  UAV-Platform with Event-Based and Frame-Based Cameras
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras
Sizhen Bian
Lukas Schulthess
Georg Rutishauser
Alfio Di Mauro
Luca Benini
Michele Magno
79
9
0
27 May 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking
  Neural Networks
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
69
12
0
26 May 2023
Exploiting Noise as a Resource for Computation and Learning in Spiking
  Neural Networks
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Gehua (Marcus) Ma
Rui Yan
Huajin Tang
145
22
0
25 May 2023
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
Yinghan Long
Sayeed Shafayet Chowdhury
Kaushik Roy
113
1
0
24 May 2023
Toward stochastic neural computing
Toward stochastic neural computing
Yang Qi
Zhichao Zhu
Yiming Wei
Lu Cao
Zhigang Wang
Jie Zhang
Wenlian Lu
Jianfeng Feng
52
4
0
23 May 2023
Temporal Contrastive Learning for Spiking Neural Networks
Temporal Contrastive Learning for Spiking Neural Networks
Haonan Qiu
Zeyin Song
Yanqing Chen
Munan Ning
Wei Fang
Tao Sun
Zhengyu Ma
Liuliang Yuan
Yonghong Tian
41
1
0
23 May 2023
From Chaos Comes Order: Ordering Event Representations for Object
  Recognition and Detection
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
Nikola Zubić
Daniel Gehrig
Mathias Gehrig
Davide Scaramuzza
AI4TS
87
41
0
26 Apr 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
35
0
0
26 Apr 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based
  Spiking Neural Network
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Chenlin Zhou
Liutao Yu
Zhaokun Zhou
Zhengyu Ma
Han Zhang
Huihui Zhou
Yonghong Tian
102
67
0
24 Apr 2023
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking
  Neural Networks
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Bing Han
Yi Zeng
77
4
0
21 Apr 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for
  Conversion of Spiking Neural Networks
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
Xiang He
Yang Li
Dongcheng Zhao
Qingqun Kong
Yi Zeng
85
6
0
23 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
Xiaoting Wang
Yanxiang Zhang
Yongzhen Zhang
91
6
0
20 Mar 2023
Gradient-descent hardware-aware training and deployment for mixed-signal
  Neuromorphic processors
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Uğurcan Cakal
Maryada
Chenxi Wu
I. Ulusoy
Dylan R. Muir
61
6
0
14 Mar 2023
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
M. Baltes
Nidal Abujahar
Ye Yue
Charles D. Smith
Jundong Liu
41
4
0
10 Mar 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency
  Spiking Neural Networks
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu
Wei Fang
Jianhao Ding
Penglin Dai
Zhaofei Yu
Tiejun Huang
153
209
0
08 Mar 2023
Communication Trade-offs in Federated Learning of Spiking Neural
  Networks
Communication Trade-offs in Federated Learning of Spiking Neural Networks
Soumi Chaki
David Weinberg
Ayça Özçelikkale
FedML
100
1
0
27 Feb 2023
KLIF: An optimized spiking neuron unit for tuning surrogate gradient
  slope and membrane potential
KLIF: An optimized spiking neuron unit for tuning surrogate gradient slope and membrane potential
Chunming Jiang
Yilei Zhang
62
17
0
18 Feb 2023
Deep Learning for Event-based Vision: A Comprehensive Survey and
  Benchmarks
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
Xueye Zheng
Yexin Liu
Yunfan Lu
Tongyan Hua
Tianbo Pan
Weiming Zhang
Dacheng Tao
Lin Wang
AI4TSBDL3DV
104
90
0
17 Feb 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural
  Networks with Neuromorphic Data
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
Gorka Abad
Oguzhan Ersoy
S. Picek
A. Urbieta
AAML
58
19
0
13 Feb 2023
The Hardware Impact of Quantization and Pruning for Weights in Spiking
  Neural Networks
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks
Clemens J. S. Schaefer
Pooria Taheri
Mark Horeni
Siddharth Joshi
104
13
0
08 Feb 2023
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