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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
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
BDL
129
147
0
21 Dec 2020
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware
  Constraints
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints
Adarsha Balaji
Anup Das
55
16
0
27 Nov 2020
A Temporal Neural Network Architecture for Online Learning
A Temporal Neural Network Architecture for Online Learning
J. E. Smith
29
12
0
27 Nov 2020
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking
  Neural Networks
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Melika Payvand
M. Fouda
Fadi J. Kurdahi
A. Eltawil
Emre Neftci
61
30
0
21 Nov 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
75
109
0
12 Nov 2020
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
533
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
75
10
0
27 Oct 2020
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
130
90
0
22 Oct 2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic
  Implementations
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Erwann Martin
M. Ernoult
Jérémie Laydevant
Shuai-shuai Li
D. Querlioz
Teodora Petrisor
Julie Grollier
86
52
0
15 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
88
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
86
48
0
09 Oct 2020
Finite Meta-Dynamic Neurons in Spiking Neural Networks for
  Spatio-temporal Learning
Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning
Xiang Cheng
Tielin Zhang
Shuncheng Jia
Bo Xu
AI4CE
87
14
0
07 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
112
176
0
05 Oct 2020
Spiking Neural Networks Through the Lens of Streaming Algorithms
Spiking Neural Networks Through the Lens of Streaming Algorithms
Yael Hitron
Cameron Musco
M. Parter
18
2
0
03 Oct 2020
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven
  Spiking Neural Networks
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Weihao Tan
Devdhar Patel
R. Kozma
61
46
0
30 Sep 2020
Learning to Detect Objects with a 1 Megapixel Event Camera
Learning to Detect Objects with a 1 Megapixel Event Camera
E. Perot
Pierre de Tournemire
D. Nitti
Jonathan Masci
A. Sironi
ObjD
85
263
0
28 Sep 2020
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem
  Formulation
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
Dimche Kostadinov
Davide Scaramuzza
SSL
69
4
0
23 Sep 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking
  Neural Networks
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks
Timo C. Wunderlich
Christian Pehle
94
122
0
17 Sep 2020
e-TLD: Event-based Framework for Dynamic Object Tracking
e-TLD: Event-based Framework for Dynamic Object Tracking
Bharath Ramesh
Shihao Zhang
Hong Yang
Andrés Ussa
Matthew Ong
Garrick Orchard
C. Xiang
68
41
0
02 Sep 2020
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for
  Sensory Processing
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
Harideep Nair
John Paul Shen
James E. Smith
46
7
0
27 Aug 2020
Supervised Learning with First-to-Spike Decoding in Multilayer Spiking
  Neural Networks
Supervised Learning with First-to-Spike Decoding in Multilayer Spiking Neural Networks
Brian Gardner
André Grüning
30
5
0
16 Aug 2020
Visual Pattern Recognition with on On-chip Learning: towards a Fully
  Neuromorphic Approach
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
Sandro Baumgartner
Alpha Renner
Raphaela Kreiser
Dongchen Liang
Giacomo Indiveri
Yulia Sandamirskaya
36
6
0
08 Aug 2020
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic
  Spiking Neural Networks
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks
A. Babu
Osvaldo Simeone
Bipin Rajendran
29
1
0
05 Aug 2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile
  Object Recognition
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
Fuqiang Gu
Weicong Sng
Tasbolat Taunyazov
Harold Soh
35
40
0
01 Aug 2020
Coarse scale representation of spiking neural networks: backpropagation
  through spikes and application to neuromorphic hardware
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware
A. Yanguas-Gil
23
6
0
13 Jul 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
180
532
0
11 Jul 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and
  Learning
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
Saeed Reza Kheradpisheh
M. Mirsadeghi
T. Masquelier
MQAI4CE
106
76
0
08 Jul 2020
Multivariate Time Series Classification Using Spiking Neural Networks
Multivariate Time Series Classification Using Spiking Neural Networks
Haowen Fang
Amar Shrestha
Qinru Qiu
48
16
0
07 Jul 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks
Towards Understanding the Effect of Leak in Spiking Neural Networks
Sayeed Shafayet Chowdhury
Chankyu Lee
Kaushik Roy
60
59
0
15 Jun 2020
Surrogate gradients for analog neuromorphic computing
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer
Sebastian Billaudelle
Simeon Kanya
Aron Leibfried
Andreas Grubl
...
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Johannes Schemmel
Friedemann Zenke
79
107
0
12 Jun 2020
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Adarsha Balaji
T. Marty
Anup Das
F. Catthoor
52
25
0
11 Jun 2020
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
Etienne Dubeau
Mathieu Garon
B. Debaque
Raoul de Charette
Jean-François Lalonde
71
17
0
09 Jun 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
NeuroAttack: Undermining Spiking Neural Networks Security through
  Externally Triggered Bit-Flips
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Valerio Venceslai
Alberto Marchisio
Ihsen Alouani
Maurizio Martina
Mohamed Bennai
AAML
59
34
0
16 May 2020
Training spiking neural networks using reinforcement learning
Training spiking neural networks using reinforcement learning
Sneha Aenugu
OffRL
16
2
0
12 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
135
130
0
02 May 2020
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
R. K. Kushawaha
S. Kumar
Biplab Banerjee
R. Velmurugan
43
33
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 Architectures
Richard C. Gerum
A. Schilling
AI4CE
32
17
0
28 Apr 2020
A Neuromorphic Paradigm for Online Unsupervised Clustering
A Neuromorphic Paradigm for Online Unsupervised Clustering
James E. Smith
34
7
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
62
6
0
07 Apr 2020
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators
T. Delbruck
Shih-Chii Liu
68
4
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
97
21
0
26 Mar 2020
Event-based Asynchronous Sparse Convolutional Networks
Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer
Daniel Gehrig
Antonio Loquercio
Davide Scaramuzza
65
153
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
71
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 Networks
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
162
168
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 Vehicle
Zhenshan Bing
Claus Meschede
Guang Chen
Alois Knoll
Kai-Qi Huang
46
43
0
10 Mar 2020
Event-Based Angular Velocity Regression with Spiking Networks
Event-Based Angular Velocity Regression with Spiking Networks
Mathias Gehrig
S. Shrestha
Daniel Mouritzen
Davide Scaramuzza
55
86
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 SpykeFlow
Ruthvik Vaila
John N. Chiasson
V. Saxena
78
22
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 Network
Bing Han
G. Srinivasan
Kaushik Roy
109
321
0
25 Feb 2020
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