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Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing

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 / 68 papers shown
Title
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
140
0
0
08 May 2025
Addressing the speed-accuracy simulation trade-off for adaptive spiking
  neurons
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor
Andrew J. King
N. Harper
30
6
0
19 Nov 2023
Spike-based computation using classical recurrent neural networks
Spike-based computation using classical recurrent neural networks
Florent De Geeter
D. Ernst
G. Drion
16
1
0
06 Jun 2023
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
M. Aung
Daniel Gerlinghoff
Chuping Qu
Liwei Yang
Tian Huang
Rick Siow Mong Goh
Tao Luo
Weng-Fai Wong
18
10
0
09 May 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking
  Neural Networks
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
29
38
0
28 Feb 2023
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling
  on BrainScaleS-2
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2
Philipp Spilger
E. Arnold
Luca Blessing
Christian Mauch
Christian Pehle
Eric Müller
Johannes Schemmel
19
10
0
23 Dec 2022
Intelligence Processing Units Accelerate Neuromorphic Learning
Intelligence Processing Units Accelerate Neuromorphic Learning
P. Sun
A. Titterton
Anjlee Gopiani
Tim Santos
A. Basu
Wei D. Lu
Jason Eshraghian
22
8
0
19 Nov 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward
  Propagation
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
Jane Lee
Saeid Haghighatshoar
Amin Karbasi
43
0
0
18 Oct 2022
Spikemax: Spike-based Loss Methods for Classification
Spikemax: Spike-based Loss Methods for Classification
S. Shrestha
Longwei Zhu
Pengfei Sun
29
15
0
19 May 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Ramashish Gaurav
B. Tripp
Apurva Narayan
38
8
0
14 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
24
134
0
01 May 2022
Spiking Neural Network Integrated Circuits: A Review of Trends and
  Future Directions
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions
A. Basu
Charlotte Frenkel
Lei Deng
Xueyong Zhang
43
64
0
14 Mar 2022
Fault-Tolerant Neural Networks from Biological Error Correction Codes
Fault-Tolerant Neural Networks from Biological Error Correction Codes
Alexander Zlokapa
Andrew K. Tan
J. Martyn
Ila R. Fiete
Max Tegmark
I. Chuang
14
3
0
25 Feb 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
131
245
0
24 Feb 2022
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
Christian Pehle
Sebastian Billaudelle
Benjamin Cramer
Jakob Kaiser
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Aron Leibfried
Eric Müller
Johannes Schemmel
19
128
0
26 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
39
1
0
05 Jan 2022
Silicon Photonic Architecture for Training Deep Neural Networks with
  Direct Feedback Alignment
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
M. Filipovich
Zhimu Guo
M. Al-Qadasi
Bicky A. Marquez
Hugh Morison
V. Sorger
Paul R. Prucnal
S. Shekhar
B. Shastri
28
52
0
12 Nov 2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
Weixin Xu
Zipeng Feng
Shuangkang Fang
Song Yuan
Yi Yang
Shuchang Zhou
MQ
30
1
0
01 Nov 2021
Adversarial Attacks on Spiking Convolutional Neural Networks for
  Event-based Vision
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
Julian Buchel
Gregor Lenz
Yalun Hu
Sadique Sheik
M. Sorbaro
AAML
27
14
0
06 Oct 2021
AI Accelerator Survey and Trends
AI Accelerator Survey and Trends
Albert Reuther
Peter Michaleas
Michael Jones
V. Gadepally
S. Samsi
J. Kepner
48
79
0
18 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
12
14
0
31 Aug 2021
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic
  Hardware
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
Philipp Plank
A. Rao
Andreas Wild
Wolfgang Maass
36
102
0
08 Jul 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural
  Networks
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
21
38
0
26 Apr 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
675
0
24 Jan 2021
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
32
29
0
21 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
38
89
0
22 Oct 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
33
117
0
17 Sep 2020
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by
  Spiking Neural Network
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network
Zihan Pan
Malu Zhang
Jibin Wu
Haizhou Li
21
9
0
07 Jul 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
24
106
0
12 Jun 2020
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
27
55
0
08 Jun 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
12
21
0
26 Mar 2020
Recognizing Images with at most one Spike per Neuron
Recognizing Images with at most one Spike per Neuron
Christoph Stöckl
Wolfgang Maass
22
12
0
30 Dec 2019
Optimizing the energy consumption of spiking neural networks for
  neuromorphic applications
Optimizing the energy consumption of spiking neural networks for neuromorphic applications
M. Sorbaro
Li-Yu Daisy Liu
Massimo Bortone
Sadique Sheik
13
67
0
03 Dec 2019
Technical report: supervised training of convolutional spiking neural
  networks with PyTorch
Technical report: supervised training of convolutional spiking neural networks with PyTorch
Romain Zimmer
Thomas Pellegrini
S. Singh
T. Masquelier
20
32
0
22 Nov 2019
Spiking neural networks trained with backpropagation for low power
  neuromorphic implementation of voice activity detection
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection
Flavio Martinelli
Giorgia Dellaferrera
Pablo Mainar
Milos Cernak
19
29
0
22 Oct 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
29
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
15
32
0
03 Jun 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
14
42
0
30 Apr 2019
Modulated binary cliquenet
Modulated binary cliquenet
Jinpeng Xia
Jiasong Wu
Youyong Kong
Pinzheng Zhang
L. Senhadji
H. Shu
MQ
16
0
0
27 Feb 2019
Distillation Strategies for Proximal Policy Optimization
Distillation Strategies for Proximal Policy Optimization
Sam Green
C. Vineyard
Ç. Koç
24
8
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
21
32
0
14 Jan 2019
Deep Learning with the Random Neural Network and its Applications
Deep Learning with the Random Neural Network and its Applications
Yonghua Yin
17
10
0
08 Oct 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
42
36
0
31 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
24
16
0
13 Jun 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
N. Kim
H. Esmaeilzadeh
30
71
0
10 May 2018
Deep Learning in Spiking Neural Networks
Deep Learning in Spiking Neural Networks
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
12
1,057
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
8
73
0
16 Apr 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
22
192
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
29
32
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
29
873
0
03 Mar 2018
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