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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
ArXivPDFHTML

Papers citing "Training Deep Spiking Neural Networks using Backpropagation"

50 / 333 papers shown
Title
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
31
88
0
23 Jan 2022
Deep Reinforcement Learning with Spiking Q-learning
Deep Reinforcement Learning with Spiking Q-learning
Ding Chen
Peixi Peng
Tiejun Huang
Yonghong Tian
27
20
0
21 Jan 2022
Including STDP to eligibility propagation in multi-layer recurrent
  spiking neural networks
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
Werner van der Veen
44
1
0
05 Jan 2022
Improving Spiking Neural Network Accuracy Using Time-based Neurons
Improving Spiking Neural Network Accuracy Using Time-based Neurons
Hanseok Kim
Woo-Seok Choi
11
6
0
05 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking
  Neural Networks?
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
Gourav Datta
Peter A. Beerel
48
37
0
22 Dec 2021
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
21
86
0
15 Dec 2021
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
28
12
0
13 Dec 2021
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for
  Event-Based Vision
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision
Alexander Kugele
Thomas Pfeil
Michael Pfeiffer
Elisabetta Chicca
42
30
0
06 Dec 2021
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event
  Cameras
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras
Junho Kim
Jaehyeok Bae
Gang-Ryeong Park
Dongsu Zhang
Y. Kim
ObjD
32
84
0
02 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
20
12
0
25 Nov 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics
  Organized by Astrocyte-modulated Plasticity
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir A. Ivanov
Konstantinos Michmizos
34
33
0
26 Oct 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
41
54
0
17 Oct 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
48
80
0
14 Oct 2021
Evolved neuromorphic radar-based altitude controller for an autonomous
  open-source blimp
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp
M. González-Alvarez
Julien Dupeyroux
Federico Corradi
Guido de Croon
16
8
0
01 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
114
60
0
29 Sep 2021
Training Spiking Neural Networks Using Lessons From Deep Learning
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason K. Eshraghian
Max Ward
Emre Neftci
Xinxin Wang
Gregor Lenz
Girish Dwivedi
Bennamoun
Doo Seok Jeong
Wei D. Lu
42
437
0
27 Sep 2021
An optimised deep spiking neural network architecture without gradients
An optimised deep spiking neural network architecture without gradients
Y. Bethi
Ying Xu
Gregory Cohen
A. van Schaik
Saeed Afshar
OOD
16
13
0
27 Sep 2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons
  through Regularization
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
Justus F. Hübotter
Pablo Lanillos
Jakub M. Tomczak
24
3
0
22 Sep 2021
Deep Spiking Neural Networks with Resonate-and-Fire Neurons
Deep Spiking Neural Networks with Resonate-and-Fire Neurons
Badr AlKhamissi
Muhammad N. ElNokrashy
D. Bernal-Casas
34
5
0
16 Sep 2021
Spike time displacement based error backpropagation in convolutional
  spiking neural networks
Spike time displacement based error backpropagation in convolutional spiking neural networks
M. Mirsadeghi
Majid Shalchian
Saeed Reza Kheradpisheh
T. Masquelier
17
15
0
31 Aug 2021
Online Training of Spiking Recurrent Neural Networks with Phase-Change
  Memory Synapses
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
Yiğit Demirağ
Charlotte Frenkel
Melika Payvand
Giacomo Indiveri
30
17
0
04 Aug 2021
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural
  Networks for Hyperspectral Image Classification
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
Gourav Datta
Souvik Kundu
Akhilesh R. Jaiswal
Peter A. Beerel
33
8
0
26 Jul 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
Peter A. Beerel
53
27
0
26 Jul 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
27
27
0
25 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided
  Compression
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
Souvik Kundu
Gourav Datta
Massoud Pedram
Peter A. Beerel
23
14
0
16 Jul 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
21
38
0
13 Jun 2021
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
Samuel Schmidgall
Julia Ashkanazy
W. Lawson
Joe Hays
22
7
0
04 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Charlotte Frenkel
D. Bol
Giacomo Indiveri
38
34
0
02 Jun 2021
A Microarchitecture Implementation Framework for Online Learning with
  Temporal Neural Networks
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks
Harideep Nair
J. Shen
James E. Smith
35
8
0
27 May 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
35
40
0
27 May 2021
A brain basis of dynamical intelligence for AI and computational
  neuroscience
A brain basis of dynamical intelligence for AI and computational neuroscience
J. Monaco
Kanaka Rajan
Grace M. Hwang
AI4CE
26
6
0
15 May 2021
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Chethan Parameshwara
Simin Li
Cornelia Fermuller
N. Sanket
Matthew Evanusa
Yiannis Aloimonos
32
42
0
13 May 2021
Deep Spiking Convolutional Neural Network for Single Object Localization
  Based On Deep Continuous Local Learning
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning
Sami Barchid
José Mennesson
Chaabane Djéraba
31
9
0
12 May 2021
Event-LSTM: An Unsupervised and Asynchronous Learning-based
  Representation for Event-based Data
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
Lakshmi Annamalai
Vignesh Ramanathan
Chetan Singh Thakur
19
15
0
10 May 2021
Neko: a Library for Exploring Neuromorphic Learning Rules
Neko: a Library for Exploring Neuromorphic Learning Rules
Zixuan Zhao
Nathan Wycoff
N. Getty
Rick L. Stevens
Fangfang Xia
17
2
0
01 May 2021
Hardware-Friendly Synaptic Orders and Timescales in Liquid State
  Machines for Speech Classification
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification
V. Saraswat
A. Gorad
Anand Naik
Aakash Patil
U. Ganguly
23
4
0
29 Apr 2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Haowen Fang
Brady Taylor
Ziru Li
Zaidao Mei
Hai Helen Li
Qinru Qiu
38
10
0
21 Apr 2021
An error-propagation spiking neural network compatible with neuromorphic
  processors
An error-propagation spiking neural network compatible with neuromorphic processors
M. Cartiglia
G. Haessig
Giacomo Indiveri
19
5
0
12 Apr 2021
PrivateSNN: Privacy-Preserving Spiking Neural Networks
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
31
22
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
AAML
FAtt
35
46
0
26 Mar 2021
Time-Ordered Recent Event (TORE) Volumes for Event Cameras
Time-Ordered Recent Event (TORE) Volumes for Event Cameras
R. W. Baldwin
Ruixu Liu
Mohammed Almatrafi
V. Asari
Keigo Hirakawa
AI4TS
30
108
0
10 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
24
16
0
01 Mar 2021
Supervised training of spiking neural networks for robust deployment on
  mixed-signal neuromorphic processors
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Julian Büchel
D. Zendrikov
S. Solinas
Giacomo Indiveri
Dylan R. Muir
12
20
0
12 Feb 2021
Enhancing efficiency of object recognition in different categorization
  levels by reinforcement learning in modular spiking neural networks
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks
Fatemeh Sharifizadeh
M. Ganjtabesh
A. Nowzari-Dalini
36
0
0
10 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
123
481
0
08 Feb 2021
A Spike Learning System for Event-driven Object Recognition
A Spike Learning System for Event-driven Object Recognition
Shibo Zhou
Wei Wang
Xiaohua Li
Zhanpeng Jin
33
5
0
21 Jan 2021
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
61
140
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
33
16
0
27 Nov 2020
A Temporal Neural Network Architecture for Online Learning
A Temporal Neural Network Architecture for Online Learning
J. E. Smith
16
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
37
29
0
21 Nov 2020
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