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RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper
  High-Accuracy and Low-Latency Spiking Neural Network
v1v2 (latest)

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

25 February 2020
Bing Han
G. Srinivasan
Kaushik Roy
ArXiv (abs)PDFHTML

Papers citing "RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network"

44 / 144 papers shown
Title
Training Spiking Neural Networks with Local Tandem Learning
Training Spiking Neural Networks with Local Tandem Learning
Qu Yang
Jibin Wu
Malu Zhang
Yansong Chua
Xinchao Wang
Haizhou Li
106
40
0
10 Oct 2022
Masked Spiking Transformer
Masked Spiking Transformer
Ziqing Wang
Yuetong Fang
Jiahang Cao
Qiang Zhang
Zhongrui Wang
Renjing Xu
75
42
0
03 Oct 2022
Spikformer: When Spiking Neural Network Meets Transformer
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou
Yuesheng Zhu
Chao He
Yaowei Wang
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
227
264
0
29 Sep 2022
Attention Spiking Neural Networks
Attention Spiking Neural Networks
Man Yao
Guangshe Zhao
Hengyu Zhang
Yifan Hu
Lei Deng
Yonghong Tian
Bo Xu
Guoqi Li
96
174
0
28 Sep 2022
Spiking GATs: Learning Graph Attentions via Spiking Neural Network
Spiking GATs: Learning Graph Attentions via Spiking Neural Network
Beibei Wang
Bo Jiang
GNN
73
5
0
05 Sep 2022
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive
  Intelligence Engine for Brain-inspired AI and Brain Simulation
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation
Yi Zeng
Dongcheng Zhao
Feifei Zhao
Guobin Shen
Yiting Dong
...
Xin Liu
Chen-Yu Du
Qingqun Kong
Zizhe Ruan
Weida Bi
110
75
0
18 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
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
Spiking Neural Networks for Frame-based and Event-based Single Object
  Localization
Spiking Neural Networks for Frame-based and Event-based Single Object Localization
Sami Barchid
José Mennesson
J. Eshraghian
Chaabane Djéraba
Bennamoun
58
32
0
13 Jun 2022
Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural
  Networks and Its Mapping Relationship to Deep Neural Networks
Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural Networks and Its Mapping Relationship to Deep Neural Networks
Si-wei Lu
Fengyi Xu
50
26
0
31 May 2022
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
90
24
0
06 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by
  Differentiation on Spike Representation
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
82
142
0
01 May 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst
  Spikes
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
Yang Li
Yi Zeng
80
58
0
28 Apr 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
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
Optimized Potential Initialization for Low-latency Spiking Neural
  Networks
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
162
90
0
03 Feb 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na
J. Mok
Seongsik Park
Dongjin Lee
Hyeokjun Choe
Sungroh Yoon
144
67
0
30 Jan 2022
S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training
  Energy Efficient Single-Step Spiking Neural Networks
S3^33NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks
Kazuma Suetake
Shin-ichi Ikegawa
Ryuji Saiin
Yoshihide Sawada
72
4
0
26 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
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
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
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
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
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
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
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
45
9
0
04 Jun 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks
  to Spiking Neural Networks with Bistable Neurons
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons
Yang Li
Yi Zeng
Dongcheng Zhao
64
27
0
27 May 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep
  Spiking Neural Networks
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding
Zhaofei Yu
Yonghong Tian
Tiejun Huang
99
157
0
25 May 2021
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Seongsik Park
Dongjin Lee
Sungroh Yoon
45
15
0
22 Apr 2021
PrivateSNN: Privacy-Preserving Spiking Neural Networks
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
69
23
0
07 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
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate
  Spiking Neural Network from Convolutional Neural Network
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network
Dengyu Wu
Xinping Yi
Xiaowei Huang
83
16
0
01 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
206
207
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
231
502
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
78
530
0
29 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
120
77
0
19 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
108
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
121
135
0
09 Aug 2020
Neuromorphic Computing for Content-based Image Retrieval
Neuromorphic Computing for Content-based Image Retrieval
Te-Yuan Liu
A. Mahjoubfar
Daniel Prusinski
Luis Stevens
VLM
51
11
0
04 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
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
98
55
0
08 Jun 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
102
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
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