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Surrogate Gradient Learning in Spiking Neural Networks

Surrogate Gradient Learning in Spiking Neural Networks

28 January 2019
Emre Neftci
Hesham Mostafa
Friedemann Zenke
ArXivPDFHTML

Papers citing "Surrogate Gradient Learning in Spiking Neural Networks"

26 / 226 papers shown
Title
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
14
50
0
04 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
20
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
28
49
0
05 May 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
124
296
0
04 May 2020
Memristors -- from In-memory computing, Deep Learning Acceleration,
  Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired
  Computing
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
A. Mehonic
Abu Sebastian
Bipin Rajendran
Osvaldo Simeone
Eleni Vasilaki
A. Kenyon
24
200
0
30 Apr 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of
  Probabilistic Spiking Winner-Take-All Circuits
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
32
11
0
20 Apr 2020
The Operating System of the Neuromorphic BrainScaleS-1 System
The Operating System of the Neuromorphic BrainScaleS-1 System
Eric Müller
Sebastian Schmitt
Christian Mauch
Sebastian Billaudelle
Andreas Grübl
...
H. Schmidt
Bernhard Vogginger
Jonas Weidner
Christian Mayr
Johannes Schemmel
40
24
0
30 Mar 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
43
51
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
22
21
0
26 Mar 2020
Minimal spiking neuron for solving multi-label classification tasks
Minimal spiking neuron for solving multi-label classification tasks
Jakub Fil
Dominique F. Chu
LRM
39
9
0
05 Mar 2020
Memory Organization for Energy-Efficient Learning and Inference in
  Digital Neuromorphic Accelerators
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators
Clemens J. S. Schaefer
Patrick Faley
Emre Neftci
S. Joshi
25
2
0
05 Mar 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
33
310
0
25 Feb 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal
  Learning of Deep Spiking Neural Network
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Haowen Fang
Amar Shrestha
Ziyi Zhao
Qinru Qiu
16
120
0
19 Feb 2020
Exploring Adversarial Attack in Spiking Neural Networks with
  Spike-Compatible Gradient
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang
Xing Hu
Lei Deng
Yujie Wu
Guoqi Li
Yufei Ding
Peng Li
Yuan Xie
AAML
29
61
0
01 Jan 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
40
126
0
24 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
26
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
33
32
0
22 Nov 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
33
104
0
19 Nov 2019
Action Recognition Using Supervised Spiking Neural Networks
Aref Moqadam Mehr
Saeed Reza Kheradpisheh
H. Farahani
19
2
0
09 Nov 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks
  with Backward Residual Connections, Stochastic Softmax and Hybridization
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
18
35
0
30 Oct 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
S4NN: temporal backpropagation for spiking neural networks with one
  spike per neuron
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
Saeed Reza Kheradpisheh
T. Masquelier
30
187
0
21 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
32
14
0
02 Jul 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
41
98
0
06 Mar 2019
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
121
483
0
26 Mar 2018
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
135
258
0
16 Dec 2016
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