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SLAYER: Spike Layer Error Reassignment in Time

SLAYER: Spike Layer Error Reassignment in Time

5 September 2018
S. Shrestha
Garrick Orchard
ArXiv (abs)PDFHTML

Papers citing "SLAYER: Spike Layer Error Reassignment in Time"

50 / 189 papers shown
Title
A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
Maximilian Baronig
Yeganeh Bahariasl
Ozan Özdenizci
Robert Legenstein
13
0
0
17 Jun 2025
Object Classification Utilizing Neuromorphic Proprioceptive Signals in Active Exploration: Validated on a Soft Anthropomorphic Hand
Object Classification Utilizing Neuromorphic Proprioceptive Signals in Active Exploration: Validated on a Soft Anthropomorphic Hand
Fengyi Wang
Xiangyu Fu
Nitish Thakor
Gordon Cheng
28
0
0
23 May 2025
Spiking Neural Network: a low power solution for physical layer authentication
Spiking Neural Network: a low power solution for physical layer authentication
Jung Hoon Lee
Sujith Vijayan
58
0
0
19 May 2025
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
Boxun Xu
Richard Boone
Peng Li
83
0
0
18 May 2025
Energy efficiency analysis of Spiking Neural Networks for space applications
Energy efficiency analysis of Spiking Neural Networks for space applications
Paolo Lunghi
Stefano Silvestrini
Dominik Dold
Gabriele Meoni
Alexander Hadjiivanov
Dario Izzo
64
0
0
16 May 2025
Sigma-Delta Neural Network Conversion on Loihi 2
Sigma-Delta Neural Network Conversion on Loihi 2
Matthew Brehove
Sadia Anjum Tumpa
Espoir Kyubwa
Naresh Menon
Vijaykrishnan Narayanan
43
0
0
09 May 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
72
0
0
07 May 2025
Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition
Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition
Siyuan Yang
Shilin Lu
Shizheng Wang
Meng Hwa Er
Zengwei Zheng
Alex C. Kot
95
0
0
21 Mar 2025
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
M. Apolinario
Kaushik Roy
Charlotte Frenkel
292
0
0
03 Feb 2025
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
Peng Xue
Wei Fang
Zhengyu Ma
Zihan Huang
Zhaokun Zhou
Yonghong Tian
T. Masquelier
Huihui Zhou
163
1
0
24 Jan 2025
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
Jamie Lohoff
Anil Kaya
Florian Assmuth
Emre Neftci
148
1
0
20 Jan 2025
Spiking Transformer with Spatial-Temporal Attention
Spiking Transformer with Spatial-Temporal Attention
Donghyun Lee
Yuhang Li
Youngeun Kim
Shiting Xiao
Priyadarshini Panda
78
3
0
29 Sep 2024
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal
  Attention
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention
Boxun Xu
Hejia Geng
Yuxuan Yin
Peng Li
AI4TS
137
0
0
20 Sep 2024
Pushing the boundaries of event subsampling in event-based video
  classification using CNNs
Pushing the boundaries of event subsampling in event-based video classification using CNNs
Hesam Araghi
Jan van Gemert
Nergis Tomen
82
2
0
13 Sep 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig
Romain Ferrand
Silvester Sabathiel
Robert Legenstein
81
6
0
14 Aug 2024
EvSign: Sign Language Recognition and Translation with Streaming Events
EvSign: Sign Language Recognition and Translation with Streaming Events
Pengyu Zhang
Hao Yin
Zeren Wang
Wenyue Chen
Shengming Li
Dong Wang
Huchuan Lu
Xu Jia
SLR
81
6
0
17 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
97
2
0
08 Jul 2024
Fourier or Wavelet bases as counterpart self-attention in spikformer for
  efficient visual classification
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
Qingyu Wang
Duzhen Zhang
Tilelin Zhang
Bo Xu
82
1
0
27 Mar 2024
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based
  Detection with Recurrent Spiking Neural Networks
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Ziming Wang
Ziling Wang
Huaning Li
Lang Qin
Runhao Jiang
De Ma
Huajin Tang
80
11
0
19 Mar 2024
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
Yang Li
Yinqian Sun
Xiang He
Yiting Dong
Dongcheng Zhao
Yi Zeng
71
4
0
01 Feb 2024
Speed-based Filtration and DBSCAN of Event-based Camera Data with
  Neuromorphic Computing
Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
Charles P. Rizzo
Catherine D. Schuman
J. Plank
56
1
0
26 Jan 2024
DISTA: Denoising Spiking Transformer with intrinsic plasticity and
  spatiotemporal attention
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention
Boxun Xu
Hejia Geng
Yuxuan Yin
Peng Li
77
2
0
15 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Md. Sakib Hasan
Catherine D. Schuman
Zhongyang Zhang
Tauhidur Rahman
Garrett S. Rose
114
1
0
15 Oct 2023
SpikePoint: An Efficient Point-based Spiking Neural Network for Event
  Cameras Action Recognition
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
Hongwei Ren
Yue Zhou
Yulong Huang
Haotian Fu
Xiaopeng Lin
Jie Song
Bo-Xun Cheng
74
22
0
11 Oct 2023
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
Changze Lv
Tianlong Li
Changze Lv
Yufei Gu
Jianhan Xu
Cenyuan Zhang
Muling Wu
Xiaoqing Zheng
Xuanjing Huang
CLIPVLM
155
3
0
10 Oct 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
41
0
0
07 Sep 2023
Energy-Efficient On-Board Radio Resource Management for Satellite
  Communications via Neuromorphic Computing
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Flor Ortíz
N. Skatchkovsky
E. Lagunas
W. A. Martins
G. Eappen
Saed Daoud
Osvaldo Simeone
Bipin Rajendran
Symeon Chatzinotas
83
8
0
22 Aug 2023
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural
  Networks
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
M. Apolinario
Kaushik Roy
125
6
0
27 Jun 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free
  Inference
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Boyan Li
Luziwei Leng
Shuaijie Shen
Kaixuan Zhang
Jianguo Zhang
Jianxing Liao
Ran Cheng
110
7
0
21 Jun 2023
Temporal Contrastive Learning for Spiking Neural Networks
Temporal Contrastive Learning for Spiking Neural Networks
Haonan Qiu
Zeyin Song
Yanqing Chen
Munan Ning
Wei Fang
Tao Sun
Zhengyu Ma
Liuliang Yuan
Yonghong Tian
41
1
0
23 May 2023
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking
  Neural Networks
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks
Henrique Branquinho
Nuno Lourenço
Ernesto Costa
35
1
0
18 May 2023
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
Madhuvanthi Srivatsav
S. Chakrabartty
Chetan Singh Thakur
49
1
0
27 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Yuhang Li
Tamar Geller
Youngeun Kim
Priyadarshini Panda
98
41
0
02 Apr 2023
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Ye Yue
M. Baltes
Nidal Abujahar
Tao Sun
Charles D. Smith
Trevor Bihl
Jundong Liu
46
7
0
14 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
119
62
0
04 Feb 2023
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural
  Networks
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
102
12
0
01 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
120
27
0
27 Jan 2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Dengyu Wu
Gao Jin
Han Yu
Xinping Yi
Xiaowei Huang
73
2
0
23 Jan 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
32
10
0
23 Dec 2022
Event-driven Spectrotemporal Feature Extraction and Classification using
  a Silicon Cochlea Model
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model
Ying Xu
S. Perera
Y. Bethi
Saeed Afshar
André van Schaik
41
7
0
14 Dec 2022
Recurrent Vision Transformers for Object Detection with Event Cameras
Recurrent Vision Transformers for Object Detection with Event Cameras
Mathias Gehrig
Davide Scaramuzza
133
133
0
11 Dec 2022
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Thomas Nowotny
J. Turner
James C. Knight
84
15
0
02 Dec 2022
Synaptic Dynamics Realize First-order Adaptive Learning and Weight
  Symmetry
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
Yukun Yang
Peng Li
ODL
88
1
0
01 Dec 2022
Event Transformer+. A multi-purpose solution for efficient event data
  processing
Event Transformer+. A multi-purpose solution for efficient event data processing
Alberto Sabater
Luis Montesano
Ana C. Murillo
ViT
62
8
0
22 Nov 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 K. Eshraghian
47
8
0
19 Nov 2022
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer
  Spiking Neural Networks based on Spike-Timing-Dependent Plasticity
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity
Daniel Gerlinghoff
Yaoyu Zhang
Rick Siow Mong Goh
Weng-Fai Wong
105
2
0
10 Nov 2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized
  Systems: Concepts and Research Directions
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Mattias Nilsson
Olov Schelén
Anders Lindgren
Ulf Bodin
Cristina Paniagua
J. Delsing
Fredrik Sandin
120
16
0
20 Oct 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
64
0
0
18 Oct 2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution
  and Attention for Spiking Neural Networks
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Chengting Yu
Zheming Gu
Da Li
Gaoang Wang
Aili Wang
Erping Li
94
39
0
11 Oct 2022
Training Spiking Neural Networks with Local Tandem Learning
Training Spiking Neural Networks with Local Tandem Learning
Qu Yang
Jibin Wu
Malu Zhang
Yansong Chua
Xinchao Wang
Haizhou Li
106
40
0
10 Oct 2022
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