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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

30 July 2019
Iulia Comsa
Krzysztof Potempa
Luca Versari
T. Fischbacher
Andrea Gesmundo
J. Alakuijala
ArXivPDFHTML

Papers citing "Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation"

24 / 24 papers shown
Title
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
Duc Anh Nguyen
Ernesto Araya
Adalbert Fono
Gitta Kutyniok
71
0
0
23 May 2025
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Christian Klos
Raoul-Martin Memmesheimer
74
6
0
25 Sep 2023
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization
  in Deep Spiking Neural Networks
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi
Kaushik Roy
45
134
0
09 Aug 2020
Evolutionary-Neural Hybrid Agents for Architecture Search
Evolutionary-Neural Hybrid Agents for Architecture Search
Krzysztof Maziarz
Mingxing Tan
A. Khorlin
Quentin de Laroussilhe
Andrea Gesmundo
20
37
0
24 Nov 2018
Spiking Deep Residual Network
Spiking Deep Residual Network
Yang‐Zhi Hu
Huajin Tang
Gang Pan
138
76
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
44
1,064
0
22 Apr 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
135
484
0
26 Mar 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
59
993
0
07 Feb 2018
BP-STDP: Approximating Backpropagation using Spike Timing Dependent
  Plasticity
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity
A. Tavanaei
Anthony Maida
37
189
0
12 Nov 2017
Gradient Descent for Spiking Neural Networks
Gradient Descent for Spiking Neural Networks
Dongsung Huh
T. Sejnowski
42
257
0
14 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking
  Neural Networks
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
46
1,012
0
08 Jun 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks
SuperSpike: Supervised learning in multi-layer spiking neural networks
Friedemann Zenke
Surya Ganguli
59
562
0
31 May 2017
First-spike based visual categorization using reward-modulated STDP
First-spike based visual categorization using reward-modulated STDP
Milad Mozafari
Saeed Reza Kheradpisheh
T. Masquelier
A. Nowzari-Dalini
M. Ganjtabesh
32
154
0
25 May 2017
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
147
258
0
16 Dec 2016
Training Spiking Deep Networks for Neuromorphic Hardware
Training Spiking Deep Networks for Neuromorphic Hardware
Eric Hunsberger
C. Eliasmith
40
132
0
16 Nov 2016
STDP-based spiking deep convolutional neural networks for object
  recognition
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh
M. Ganjtabesh
S. Thorpe
T. Masquelier
38
405
0
04 Nov 2016
Supervised learning based on temporal coding in spiking neural networks
Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
50
353
0
27 Jun 2016
Deep Spiking Networks
Deep Spiking Networks
Peter O'Connor
Max Welling
19
98
0
26 Feb 2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural
  Networks for Low-power Neuromorphic Hardware
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
P. U. Diehl
Guido Zarrella
A. Cassidy
Bruno U. Pedroni
Emre Neftci
51
217
0
16 Jan 2016
How Important is Weight Symmetry in Backpropagation?
How Important is Weight Symmetry in Backpropagation?
Q. Liao
Joel Z Leibo
T. Poggio
39
168
0
17 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
277
43,511
0
17 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via
  Target Propagation
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
66
182
0
29 Jul 2014
Supervised Learning in Multilayer Spiking Neural Networks
Supervised Learning in Multilayer Spiking Neural Networks
Ioana Sporea
André Grüning
64
194
0
10 Feb 2012
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