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Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
v1v2 (latest)

Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing

28 March 2016
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
Alexander Andreopoulos
David J. Berg
J. McKinstry
T. Melano
D. Barch
C. D. Nolfo
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
    3DH
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Papers citing "Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing"

50 / 195 papers shown
Title
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
78
14
0
02 Jul 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing
  Backpropagation with Spikes
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
Johannes C. Thiele
O. Bichler
A. Dupret
60
33
0
03 Jun 2019
Harnessing Slow Dynamics in Neuromorphic Computation
Harnessing Slow Dynamics in Neuromorphic Computation
Tianlin Liu
40
0
0
28 May 2019
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep
  Neural Networks
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
Yichen Zhang
Shanshan Jia
Yajing Zheng
Zhaofei Yu
Yonghong Tian
Siwei Ma
Tiejun Huang
Jian K. Liu
63
42
0
30 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
98
1,825
0
17 Apr 2019
Hardware-friendly Neural Network Architecture for Neuromorphic Computing
Hardware-friendly Neural Network Architecture for Neuromorphic Computing
Roshan Gopalakrishnan
Yansong Chua
A. Kumar
27
3
0
03 Apr 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
117
399
0
15 Mar 2019
Modulated binary cliquenet
Modulated binary cliquenet
Jinpeng Xia
Jiasong Wu
Youyong Kong
Pinzheng Zhang
L. Senhadji
H. Shu
MQ
39
1
0
27 Feb 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
79
813
0
21 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
137
1,256
0
28 Jan 2019
Distillation Strategies for Proximal Policy Optimization
Distillation Strategies for Proximal Policy Optimization
Sam Green
C. Vineyard
Ç. Koç
61
9
0
23 Jan 2019
Unsupervised Visual Feature Learning with Spike-timing-dependent
  Plasticity: How Far are we from Traditional Feature Learning Approaches?
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?
Pierre Falez
Pierre Tirilly
Ioan Marius Bilasco
P. Devienne
Pierre Boulet
SSL
67
33
0
14 Jan 2019
RRAM based neuromorphic algorithms
RRAM based neuromorphic algorithms
Roshan Gopalakrishnan
21
2
0
12 Jan 2019
Low-Power Neuromorphic Hardware for Signal Processing Applications
Low-Power Neuromorphic Hardware for Signal Processing Applications
Bipin Rajendran
Abu Sebastian
M. Schmuker
N. Srinivasa
E. Eleftheriou
74
136
0
11 Jan 2019
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array
Linghao Song
Jiachen Mao
Youwei Zhuo
Xuehai Qian
Hai Helen Li
Yiran Chen
90
98
0
07 Jan 2019
AIDA: Associative DNN Inference Accelerator
AIDA: Associative DNN Inference Accelerator
L. Yavits
R. Kaplan
R. Ginosar
30
1
0
20 Dec 2018
Deep learning incorporating biologically-inspired neural dynamics
Deep learning incorporating biologically-inspired neural dynamics
Stanisław Woźniak
A. Pantazi
Thomas Bohnstingl
E. Eleftheriou
54
9
0
17 Dec 2018
A Biologically Plausible Supervised Learning Method for Spiking Neural
  Networks Using the Symmetric STDP Rule
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao
Xuhui Huang
Meng Dong
Bo Xu
98
157
0
17 Dec 2018
Packing Sparse Convolutional Neural Networks for Efficient Systolic
  Array Implementations: Column Combining Under Joint Optimization
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization
H. T. Kung
Bradley McDanel
Shanghang Zhang
93
135
0
07 Nov 2018
Revealing Fine Structures of the Retinal Receptive Field by Deep
  Learning Networks
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Hui Li
Yajing Zheng
Shanshan Jia
Yichen Zhang
Zhaofei Yu
Feng Chen
Yonghong Tian
Tiejun Huang
Jian K. Liu
91
23
0
06 Nov 2018
Whetstone: A Method for Training Deep Artificial Neural Networks for
  Binary Communication
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication
William M. Severa
C. Vineyard
Ryan Dellana
Stephen J Verzi
J. Aimone
77
96
0
26 Oct 2018
Deep Learning with the Random Neural Network and its Applications
Deep Learning with the Random Neural Network and its Applications
Yonghua Yin
22
10
0
08 Oct 2018
Low Precision Policy Distillation with Application to Low-Power,
  Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
J. McKinstry
D. Barch
Deepika Bablani
M. DeBole
S. K. Esser
J. Kusnitz
John V. Arthur
D. Modha
OffRL
80
5
0
25 Sep 2018
Discovering Low-Precision Networks Close to Full-Precision Networks for
  Efficient Embedded Inference
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
J. McKinstry
S. K. Esser
R. Appuswamy
Deepika Bablani
John V. Arthur
Izzet B. Yildiz
D. Modha
MQ
66
94
0
11 Sep 2018
SLAYER: Spike Layer Error Reassignment in Time
SLAYER: Spike Layer Error Reassignment in Time
S. Shrestha
Garrick Orchard
104
759
0
05 Sep 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human
  Activity Recognition
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition
Zhan Yang
Osolo Ian Raymond
Chengyuan Zhang
Ying Wan
J. Long
CVBM
74
36
0
31 Jul 2018
Crossbar-aware neural network pruning
Crossbar-aware neural network pruning
Ling Liang
Lei Deng
Y. Zeng
Xing Hu
Yu Ji
Xin Ma
Guoqi Li
Yuan Xie
83
41
0
25 Jul 2018
Accelerated physical emulation of Bayesian inference in spiking neural
  networks
Accelerated physical emulation of Bayesian inference in spiking neural networks
Á. F. Kungl
Sebastian Schmitt
Johann Klähn
Paul Müller
A. Baumbach
...
V. Karasenko
Andreas Grübl
Johannes Schemmel
K. Meier
Mihai A. Petrovici
56
36
0
06 Jul 2018
The streaming rollout of deep networks - towards fully model-parallel
  execution
The streaming rollout of deep networks - towards fully model-parallel execution
Volker Fischer
Jan M. Köhler
Thomas Pfeil
71
16
0
13 Jun 2018
Early Seizure Detection with an Energy-Efficient Convolutional Neural
  Network on an Implantable Microcontroller
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller
Maria Hügle
S. Heller
Manuel Watter
Manuel Blum
F. Manzouri
M. Dümpelmann
A. Schulze-Bonhage
P. Woias
Joschka Boedecker
48
43
0
12 Jun 2018
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power
  Brain-Machine Interfaces
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
David G. Clark
J. Livezey
E. Chang
K. Bouchard
16
0
0
22 May 2018
Energy Efficient Hadamard Neural Networks
Energy Efficient Hadamard Neural Networks
T. C. Deveci
Serdar Çakır
A. Enis Cetin
68
18
0
14 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial
  Networks
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
Amir Yazdanbakhsh
Hajar Falahati
Philip J. Wolfe
K. Samadi
Nam Sung Kim
H. Esmaeilzadeh
93
74
0
10 May 2018
A Memristor based Unsupervised Neuromorphic System Towards Fast and
  Energy-Efficient GAN
A Memristor based Unsupervised Neuromorphic System Towards Fast and Energy-Efficient GAN
Fuqiang Liu
Chenchen Liu
F. Bi
45
6
0
09 May 2018
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data
  Quantization-Aware Deep Networks
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks
Fuqiang Liu
Chenchen Liu
23
5
0
08 May 2018
Spiking Deep Residual Network
Spiking Deep Residual Network
Yang‐Zhi Hu
Huajin Tang
Gang Pan
204
77
0
28 Apr 2018
Deep Learning in Spiking Neural Networks
Deep Learning in Spiking Neural Networks
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
112
1,089
0
22 Apr 2018
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor
  With All Memory On Chip in 28nm CMOS
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS
Bert Moons
Daniel Bankman
Lita Yang
B. Murmann
Marian Verhelst
MQ
60
74
0
16 Apr 2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural
  Networks: FPGAs and ASICs
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs
Caiwen Ding
Ao Ren
Geng Yuan
Xiaolong Ma
Jiayu Li
Ning Liu
Bo Yuan
Yanzhi Wang
72
23
0
28 Mar 2018
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
167
491
0
26 Mar 2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques
  on FPGAs
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs
Shuo Wang
Zhe Li
Caiwen Ding
Bo Yuan
Yanzhi Wang
Qinru Qiu
Yun Liang
61
197
0
14 Mar 2018
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with
  Temporal Error Backpropagation
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation
Tao Liu
Zihao Liu
Fuhong Lin
Yier Jin
Gang Quan
Wujie Wen
62
32
0
14 Mar 2018
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic
  Architecture with Efficient Supervised Learning
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning
Tao Liu
Lei Jiang
Yier Jin
Gang Quan
Wujie Wen
42
11
0
14 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
133
883
0
03 Mar 2018
Layer-wise synapse optimization for implementing neural networks on
  general neuromorphic architectures
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures
John Mern
Jayesh K. Gupta
Mykel Kochenderfer
55
1
0
20 Feb 2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning
  Systems: An Algorithm-Hardware Co-Optimization Framework
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework
Yanzhi Wang
Caiwen Ding
Zhe Li
Geng Yuan
Siyu Liao
...
Bo Yuan
Xuehai Qian
Jian Tang
Qinru Qiu
Xinyu Lin
77
33
0
18 Feb 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta
Yuting Ye
Robert Y. Wang
Chiao Liu
Kaushik Roy
120
1,014
0
07 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks
Effective Quantization Approaches for Recurrent Neural Networks
Md. Zahangir Alom
A. Moody
N. Maruyama
B. Van Essen
T. Taha
MQ
55
36
0
07 Feb 2018
Deep Versus Wide Convolutional Neural Networks for Object Recognition on
  Neuromorphic System
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System
Md. Zahangir Alom
Theodora Josue
Md Nayim Rahman
Will Mitchell
C. Yakopcic
T. Taha
37
21
0
07 Feb 2018
Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound
  Binary Synapses
Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses
Xinyu Wu
V. Saxena
39
14
0
09 Jan 2018
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