ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.09495
  4. Cited By
S4NN: temporal backpropagation for spiking neural networks with one
  spike per neuron

S4NN: temporal backpropagation for spiking neural networks with one spike per neuron

21 October 2019
Saeed Reza Kheradpisheh
T. Masquelier
ArXivPDFHTML

Papers citing "S4NN: temporal backpropagation for spiking neural networks with one spike per neuron"

29 / 29 papers shown
Title
Active Dendrites Enable Efficient Continual Learning in
  Time-To-First-Spike Neural Networks
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
Lorenzo Pes
Rick Luiken
Federico Corradi
Charlotte Frenkel
40
5
0
30 Apr 2024
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Chenxi Sun
Hongyan Li
Moxian Song
Derun Can
linda Qiao
29
0
0
26 Dec 2023
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
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Christian Klos
Raoul-Martin Memmesheimer
43
6
0
25 Sep 2023
Enabling energy-Efficient object detection with surrogate gradient
  descent in spiking neural networks
Enabling energy-Efficient object detection with surrogate gradient descent in spiking neural networks
Jilong Luo
Shanlin Xiao
Yinsheng Chen
Zhiyi Yu
16
0
0
07 Sep 2023
Paired Competing Neurons Improving STDP Supervised Local Learning In
  Spiking Neural Networks
Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks
Gaspard Goupy
Pierre Tirilly
Ioan Marius Bilasco
32
3
0
04 Aug 2023
Sparse-firing regularization methods for spiking neural networks with
  time-to-first spike coding
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
Yusuke Sakemi
Kakei Yamamoto
T. Hosomi
Kazuyuki Aihara
40
7
0
24 Jul 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Zecheng Hao
Jianhao Ding
Tong Bu
Tiejun Huang
Zhaofei Yu
43
40
0
21 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Zecheng Hao
Tong Bu
Jianhao Ding
Tiejun Huang
Zhaofei Yu
25
54
0
04 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Guangyao Chen
Peixi Peng
Guoqi Li
Yonghong Tian
29
23
0
27 Jan 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks
An Exact Mapping From ReLU Networks to Spiking Neural Networks
A. Stanojević
Stanislaw Wo'zniak
G. Bellec
G. Cherubini
A. Pantazi
W. Gerstner
23
22
0
23 Dec 2022
Models Developed for Spiking Neural Networks
Models Developed for Spiking Neural Networks
Shahriar Rezghi Shirsavar
A. Vahabie
M. Dehaqani
24
4
0
08 Dec 2022
Low Latency Conversion of Artificial Neural Network Models to
  Rate-encoded Spiking Neural Networks
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
Zhanglu Yan
Jun Zhou
Weng-Fai Wong
25
2
0
27 Oct 2022
Neuro-symbolic computing with spiking neural networks
Neuro-symbolic computing with spiking neural networks
Dominik Dold
J. Garrido
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
NAI
19
5
0
04 Aug 2022
Towards biologically plausible Dreaming and Planning in recurrent
  spiking networks
Towards biologically plausible Dreaming and Planning in recurrent spiking networks
C. Capone
P. Paolucci
CLL
23
7
0
20 May 2022
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
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
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 Neurorobotic Embodiment for Exploring the Dynamical Interactions of a
  Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation
  Tasks
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks
Omar Zahra
D. Navarro-Alarcon
Silvia Tolu
26
15
0
03 Feb 2021
Towards Understanding the Effect of Leak in Spiking Neural Networks
Towards Understanding the Effect of Leak in Spiking Neural Networks
Sayeed Shafayet Chowdhury
Chankyu Lee
Kaushik Roy
19
54
0
15 Jun 2020
Hardware Implementation of Spiking Neural Networks Using
  Time-To-First-Spike Encoding
Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding
Seongbin Oh
D. Kwon
Gyuho Yeom
Won-Mook Kang
Soochang Lee
S. Woo
Jaehyeon Kim
Min Kyu Park
Jong-Ho Lee
48
15
0
09 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
7
21
0
26 Mar 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with
  Binarized Classification Layers for EMNIST Classification using SpykeFlow
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
Ruthvik Vaila
John N. Chiasson
V. Saxena
19
22
0
26 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
6
60
0
01 Jan 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
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
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
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
1