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Deep Learning in Spiking Neural Networks

Deep Learning in Spiking Neural Networks

22 April 2018
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
ArXivPDFHTML

Papers citing "Deep Learning in Spiking Neural Networks"

46 / 96 papers shown
Title
Encoding Integers and Rationals on Neuromorphic Computers using Virtual
  Neuron
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron
Prasanna Date
Shruti R. Kulkarni
Aaron R. Young
Catherine D. Schuman
T. Potok
Jeffrey S. Vetter
19
5
0
15 Aug 2022
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple
  Tasks
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks
P. G. Cachi
Sebastián Ventura
K. Cios
LRM
18
0
0
02 Aug 2022
Making a Spiking Net Work: Robust brain-like unsupervised machine
  learning
Making a Spiking Net Work: Robust brain-like unsupervised machine learning
Peter G. Stratton
Andrew Wabnitz
Chip Essam
A. Cheung
T. Hamilton
OOD
21
4
0
02 Aug 2022
Memory-enriched computation and learning in spiking neural networks
  through Hebbian plasticity
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Thomas Limbacher
Ozan Özdenizci
R. Legenstein
13
2
0
23 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
17
134
0
01 May 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous
  Driving Networks
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
Dario Rossi
Liang Zhang
28
13
0
26 Apr 2022
Ensemble plasticity and network adaptability in SNNs
Ensemble plasticity and network adaptability in SNNs
Mahima Milinda Alwis Weerasinghe
David Parry
Grace I. Wang
Jacqueline L. Whalley
19
2
0
11 Mar 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits
  of Sparse-Sparse Networks
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks
Kevin Lee Hunter
Lawrence Spracklen
Subutai Ahmad
21
20
0
27 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Zhehui Wang
Tao Luo
Rick Siow Mong Goh
Wei Zhang
Weng-Fai Wong
13
1
0
01 Dec 2021
Continuous learning of spiking networks trained with local rules
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
15
12
0
18 Nov 2021
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks
  considering Unreliable Memories
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
21
36
0
23 Aug 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
P. Beerel
40
27
0
26 Jul 2021
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
MQ
13
44
0
05 Jul 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLM
AAML
45
221
0
14 Jun 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural
  Networks Calibration
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Ruihao Gong
Shi Gu
13
185
0
13 Jun 2021
Latent Time-Adaptive Drift-Diffusion Model
Latent Time-Adaptive Drift-Diffusion Model
Gabriele Cimolino
F. Rivest
29
0
0
04 Jun 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
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
476
0
08 Feb 2021
A multi-agent evolutionary robotics framework to train spiking neural
  networks
A multi-agent evolutionary robotics framework to train spiking neural networks
Souvik Das
Anirudh Shankar
Vaneet Aggarwal
11
1
0
07 Dec 2020
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
33
87
0
22 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
29
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
28
47
0
09 Oct 2020
Event-Driven Visual-Tactile Sensing and Learning for Robots
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov
Weicong Sng
H. See
Brian Z. H. Lim
Jethro Kuan
Abdul Fatir Ansari
Benjamin C. K. Tee
Harold Soh
12
92
0
15 Sep 2020
Robust trajectory generation for robotic control on the neuromorphic
  research chip Loihi
Robust trajectory generation for robotic control on the neuromorphic research chip Loihi
Carlo Michaelis
Andrew B. Lehr
Christian Tetzlaff
11
4
0
26 Aug 2020
A bio-inspired bistable recurrent cell allows for long-lasting memory
A bio-inspired bistable recurrent cell allows for long-lasting memory
Nicolas Vecoven
D. Ernst
G. Drion
RALM
13
18
0
09 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking
  Recurrent Neural Networks
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
Bojian Yin
Federico Corradi
Sander M. Bohté
12
99
0
24 May 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with
  Double-threshold and Augmented Schemes
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Qiang Yu
Chenxiang Ma
Shiming Song
Gaoyan Zhang
J. Dang
Kay Chen Tan
20
49
0
05 May 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
38
48
0
27 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
7
21
0
26 Mar 2020
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object
  Tracking
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking
Yihao Luo
Min Xu
Caihong Yuan
Xiang Cao
Liangqi Zhang
Yan Xu
Tianjiang Wang
Qi Feng
16
24
0
17 Mar 2020
Non-linear Neurons with Human-like Apical Dendrite Activations
Non-linear Neurons with Human-like Apical Dendrite Activations
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Nicolae-Cătălin Ristea
N. Sebe
13
19
0
02 Feb 2020
Fast and energy-efficient neuromorphic deep learning with first-spike
  times
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Goltz
Laura Kriener
A. Baumbach
Sebastian Billaudelle
O. Breitwieser
...
Á. F. Kungl
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
24
124
0
24 Dec 2019
High-parallelism Inception-like Spiking Neural Networks for Unsupervised
  Feature Learning
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning
Mingyuan Meng
Xingyu Yang
Lei Bi
Jinman Kim
Shanlin Xiao
Zhiyi Yu
21
16
0
02 Dec 2019
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech
  Recognition
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
Jibin Wu
Emre Yilmaz
Malu Zhang
Haizhou Li
Kay Chen Tan
25
104
0
19 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
16
29
0
22 Oct 2019
Efficient training and design of photonic neural network through
  neuroevolution
Efficient training and design of photonic neural network through neuroevolution
Tian Zhang
Jia Wang
Yihang Dan
Yuxiang Lanqiu
Jian Dai
Xu Han
Xiaojuan Sun
Kun Xu
21
49
0
04 Aug 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function:
  Learning with Backpropagation
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia Comsa
Krzysztof Potempa
Luca Versari
T. Fischbacher
Andrea Gesmundo
J. Alakuijala
23
174
0
30 Jul 2019
Spiking Neural Networks and Online Learning: An Overview and
  Perspectives
Spiking Neural Networks and Online Learning: An Overview and Perspectives
J. Lobo
Javier Del Ser
Albert Bifet
N. Kasabov
14
221
0
23 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
13
32
0
03 Jun 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
33
98
0
06 Mar 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
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure
  for Spiking Neural Networks
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks
B. Bagley
Blake Bordelon
Benjamin Moseley
R. Wessel
16
1
0
07 Oct 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
21
638
0
16 Sep 2018
Bio-inspired digit recognition using reward-modulated
  spike-timing-dependent plasticity in deep convolutional networks
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
S. Thorpe
T. Masquelier
22
155
0
31 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
R. Legenstein
Wolfgang Maass
119
481
0
26 Mar 2018
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
127
257
0
16 Dec 2016
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