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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 / 351 papers shown
Title
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities
  and Differences
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and DifferencesNeural Networks (NN), 2020
Weihua He
Yujie Wu
Lei Deng
Guoqi Li
Haoyu Wang
Yang Tian
Wei Ding
Wenhui Wang
Yuan Xie
202
146
0
02 May 2020
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Distilling Spikes: Knowledge Distillation in Spiking Neural NetworksInternational Conference on Pattern Recognition (ICPR), 2020
R. K. Kushawaha
S. Kumar
Biplab Banerjee
R. Velmurugan
92
38
0
01 May 2020
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning
  Architectures
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning ArchitecturesNeural Computation (Neural Comput.), 2020
Richard C. Gerum
A. Schilling
AI4CE
146
20
0
28 Apr 2020
A Neuromorphic Paradigm for Online Unsupervised Clustering
A Neuromorphic Paradigm for Online Unsupervised Clustering
James E. Smith
127
8
0
25 Apr 2020
Real-time Classification from Short Event-Camera Streams using
  Input-filtering Neural ODEs
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
Giorgio Giannone
Asha Anoosheh
A. Quaglino
P. DÓro
Marco Gallieri
Jonathan Masci
AI4TS
124
6
0
07 Apr 2020
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators
Data-Driven Neuromorphic DRAM-based CNN and RNN AcceleratorsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2019
T. Delbruck
Shih-Chii Liu
152
6
0
29 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
223
22
0
26 Mar 2020
Event-based Asynchronous Sparse Convolutional Networks
Event-based Asynchronous Sparse Convolutional NetworksEuropean Conference on Computer Vision (ECCV), 2020
Nico Messikommer
Daniel Gehrig
Antonio Loquercio
Davide Scaramuzza
192
172
0
20 Mar 2020
Reducing the Sim-to-Real Gap for Event Cameras
Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen
C. Scheerlinck
Davide Scaramuzza
Tom Drummond
Nick Barnes
L. Kleeman
Robert E. Mahony
320
7
0
20 Mar 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient
  Hybrid Neural Networks
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural NetworksEuropean Conference on Computer Vision (ECCV), 2020
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
293
186
0
14 Mar 2020
Indirect and Direct Training of Spiking Neural Networks for End-to-End
  Control of a Lane-Keeping Vehicle
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping VehicleNeural Networks (NN), 2020
Zhenshan Bing
Claus Meschede
Guang Chen
Alois Knoll
Kai-Qi Huang
76
46
0
10 Mar 2020
Event-Based Angular Velocity Regression with Spiking Networks
Event-Based Angular Velocity Regression with Spiking NetworksIEEE International Conference on Robotics and Automation (ICRA), 2020
Mathias Gehrig
S. Shrestha
Daniel Mouritzen
Davide Scaramuzza
100
94
0
05 Mar 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with
  Binarized Classification Layers for EMNIST Classification using SpykeFlow
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlowIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Ruthvik Vaila
John N. Chiasson
V. Saxena
317
26
0
26 Feb 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 NetworkComputer Vision and Pattern Recognition (CVPR), 2020
Bing Han
G. Srinivasan
Kaushik Roy
209
366
0
25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking
  Neural Networks
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Wenrui Zhang
Peng Li
278
242
0
24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks
Exploring the Connection Between Binary and Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2020
Sen Lu
Abhronil Sengupta
MQ
179
110
0
24 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 NetworkInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Haowen Fang
Amar Shrestha
Ziyi Zhao
Qinru Qiu
125
126
0
19 Feb 2020
Multi-Objective Optimization for Size and Resilience of Spiking Neural
  Networks
Multi-Objective Optimization for Size and Resilience of Spiking Neural NetworksUbiquitous Computing, Electronics & Mobile Communication Conference (UCEMC), 2019
Mihaela Dimovska
T. Johnston
Catherine D. Schuman
J. P. Mitchell
T. Potok
95
13
0
04 Feb 2020
A Differentiable Recurrent Surface for Asynchronous Event-Based Data
A Differentiable Recurrent Surface for Asynchronous Event-Based Data
Marco Cannici
Marco Ciccone
Andrea Romanoni
Matteo Matteucci
207
27
0
10 Jan 2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks
  Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor DesignIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yusuke Sakemi
K. Morino
Takashi Morie
Kazuyuki Aihara
152
36
0
08 Jan 2020
Acoustic Scene Analysis using Analog Spiking Neural Network
Acoustic Scene Analysis using Analog Spiking Neural Network
Anand Kumar Mukhopadhyay
Moses Prabhakar Naligala
Divya Lakshmi Duggisetty
I. Chakrabarti
M. Sharad
118
1
0
23 Dec 2019
Motion Equivariance OF Event-based Camera Data with the Temporal
  Normalization Transform
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform
ZiYun Wang
91
0
0
28 Nov 2019
Comprehensive SNN Compression Using ADMM Optimization and Activity
  Regularization
Comprehensive SNN Compression Using ADMM Optimization and Activity RegularizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Lei Deng
Yujie Wu
Yifan Hu
Ling Liang
Guoqi Li
Xing Hu
Yufei Ding
Peng Li
Yuan Xie
220
99
0
03 Nov 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks
  with Backward Residual Connections, Stochastic Softmax and Hybridization
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
155
32
0
30 Oct 2019
S4NN: temporal backpropagation for spiking neural networks with one
  spike per neuron
S4NN: temporal backpropagation for spiking neural networks with one spike per neuronInternational Journal of Neural Systems (IJNS), 2019
Saeed Reza Kheradpisheh
T. Masquelier
237
203
0
21 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision
  Sensing
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
188
26
0
08 Oct 2019
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic
  Models, Learning Rules, and Applications
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and ApplicationsIEEE Signal Processing Magazine (IEEE SPM), 2019
Hyeryung Jang
Osvaldo Simeone
Brian Gardner
A. Gruning
TPM
110
83
0
02 Oct 2019
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust
  Performance
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust PerformanceAAAI Conference on Artificial Intelligence (AAAI), 2019
Shibo Zhou
Li Xiaohua
Ying-Cong Chen
S. T. Chandrasekaran
A. Sanyal
OOD
228
108
0
24 Sep 2019
Bifurcation Spiking Neural Network
Bifurcation Spiking Neural NetworkJournal of machine learning research (JMLR), 2019
Shao-Qun Zhang
Zhao-Yu Zhang
Zhi Zhou
180
7
0
18 Sep 2019
Spiking Neural Predictive Coding for Continual Learning from Data
  Streams
Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
428
35
0
23 Aug 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision SensingIEEE International Conference on Computer Vision (ICCV), 2019
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
147
184
0
19 Aug 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking
  Neural Networks
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Wenrui Zhang
Peng Li
172
139
0
18 Aug 2019
Event-based Feature Extraction Using Adaptive Selection Thresholds
Event-based Feature Extraction Using Adaptive Selection ThresholdsItalian National Conference on Sensors (INS), 2019
Saeed Afshar
Ying Xu
J. Tapson
André van Schaik
Gregory Cohen
149
44
0
18 Jul 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of
  Deep Spiking Neural Networks
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Jibin Wu
Yansong Chua
Malu Zhang
Guoqi Li
Haizhou Li
Kay Chen Tan
145
14
0
02 Jul 2019
Reinforcement Learning with Low-Complexity Liquid State Machines
Reinforcement Learning with Low-Complexity Liquid State MachinesFrontiers in Neuroscience (Front. Neurosci.), 2019
Wachirawit Ponghiran
G. Srinivasan
Kaushik Roy
84
17
0
04 Jun 2019
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and
  Classifying Image Data
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image DataAnnals of Mathematics and Artificial Intelligence (AMAI), 2019
Hananel Hazan
D. J. Saunders
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
136
17
0
04 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing
  Backpropagation with Spikes
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with SpikesInternational Conference on Learning Representations (ICLR), 2019
Johannes C. Thiele
O. Bichler
A. Dupret
127
34
0
03 Jun 2019
Supervised Learning in Spiking Neural Networks with Phase-Change Memory
  Synapses
Supervised Learning in Spiking Neural Networks with Phase-Change Memory SynapsesScientific Reports (Sci Rep), 2019
S. Nandakumar
I. Boybat
Corey Lammie
E. Eleftheriou
Abu Sebastian
Bipin Rajendran
98
65
0
28 May 2019
Synthesizing Images from Spatio-Temporal Representations using
  Spike-based Backpropagation
Synthesizing Images from Spatio-Temporal Representations using Spike-based BackpropagationFrontiers in Neuroscience (Front. Neurosci.), 2019
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
98
24
0
24 May 2019
Closing the Accuracy Gap in an Event-Based Visual Recognition Task
Closing the Accuracy Gap in an Event-Based Visual Recognition Task
Bodo Rückauer
Nicolas Känzig
Shih-Chii Liu
T. Delbruck
Yulia Sandamirskaya
139
22
0
06 May 2019
PCA-RECT: An Energy-efficient Object Detection Approach for Event
  Cameras
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras
Bharath Ramesh
Andrés Ussa
L. D. Vedova
Hong Yang
Garrick Orchard
65
15
0
24 Apr 2019
Event-based Vision: A Survey
Event-based Vision: A Survey
Guillermo Gallego
T. Delbruck
Garrick Orchard
Chiara Bartolozzi
B. Taba
...
Stefan Leutenegger
Andrew J. Davison
Jorg Conradt
Kostas Daniilidis
Davide Scaramuzza
342
2,207
0
17 Apr 2019
End-to-End Learning of Representations for Asynchronous Event-Based Data
End-to-End Learning of Representations for Asynchronous Event-Based Data
Daniel Gehrig
Antonio Loquercio
Konstantinos G. Derpanis
Davide Scaramuzza
DRLAI4TS
342
385
0
17 Apr 2019
Deep Convolutional Spiking Neural Networks for Image Classification
Deep Convolutional Spiking Neural Networks for Image Classification
Ruthvik Vaila
John N. Chiasson
V. Saxena
181
31
0
28 Mar 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network
  Architectures
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures
Chankyu Lee
Syed Shakib Sarwar
Priyadarshini Panda
G. Srinivasan
Kaushik Roy
392
426
0
15 Mar 2019
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object
  Detection
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
Seijoon Kim
Seongsik Park
Byunggook Na
Sungroh Yoon
ObjD
219
475
0
12 Mar 2019
A Spiking Network for Inference of Relations Trained with Neuromorphic
  Backpropagation
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation
Johannes C. Thiele
O. Bichler
A. Dupret
S. Solinas
Giacomo Indiveri
98
5
0
11 Mar 2019
A novel method for extracting interpretable knowledge from a spiking
  neural classifier with time-varying synaptic weights
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights
Abeegithan Jeyasothy
Suresh Sundaram
Savitha Ramasamy
N. Sundararajan
103
4
0
28 Feb 2019
Biologically plausible deep learning -- but how far can we go with
  shallow networks?
Biologically plausible deep learning -- but how far can we go with shallow networks?Neural Networks (NN), 2019
Bernd Illing
W. Gerstner
Johanni Brea
257
102
0
27 Feb 2019
Deep Spiking Neural Network with Spike Count based Learning Rule
Deep Spiking Neural Network with Spike Count based Learning Rule
Jibin Wu
Yansong Chua
Malu Zhang
Qu Yang
Guoqi Li
Haizhou Li
141
54
0
15 Feb 2019
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