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Exploring Temporal Information Dynamics in Spiking Neural Networks

Exploring Temporal Information Dynamics in Spiking Neural Networks

26 November 2022
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
ArXivPDFHTML

Papers citing "Exploring Temporal Information Dynamics in Spiking Neural Networks"

18 / 18 papers shown
Title
Spiking Transformer with Spatial-Temporal Attention
Spiking Transformer with Spatial-Temporal Attention
Donghyun Lee
Yuhang Li
Youngeun Kim
Shiting Xiao
Priyadarshini Panda
16
1
0
29 Sep 2024
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for
  Efficient Action Recognition
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
Shiting Xiao
Yuhang Li
Youngeun Kim
Donghyun Lee
Priyadarshini Panda
21
1
0
03 Sep 2024
SFedCA: Credit Assignment-Based Active Client Selection Strategy for
  Spiking Federated Learning
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
Qiugang Zhan
Jinbo Cao
Xiurui Xie
Malu Zhang
Huajin Tang
Guisong Liu
FedML
30
0
0
18 Jun 2024
Robust Stable Spiking Neural Networks
Robust Stable Spiking Neural Networks
Jianhao Ding
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
AAML
22
5
0
31 May 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
16
9
0
19 Mar 2024
Benchmarking Spiking Neural Network Learning Methods with Varying
  Locality
Benchmarking Spiking Neural Network Learning Methods with Varying Locality
Jiaqi Lin
Sen Lu
Malyaban Bal
Abhronil Sengupta
12
2
0
01 Feb 2024
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
Sicheng Shen
Dongcheng Zhao
Guobin Shen
Yi Zeng
AI4TS
23
5
0
22 Jan 2024
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network
  Training
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
Donghyun Lee
Ruokai Yin
Youngeun Kim
Abhishek Moitra
Yuhang Li
Priyadarshini Panda
8
3
0
15 Jan 2024
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object
  Recognition with Spiking Neural Network
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network
Yongqi Ding
Lin Zuo
Mengmeng Jing
Pei He
Yongjun Xiao
16
16
0
02 Jan 2024
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
24
3
0
11 Sep 2023
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Sen Lu
Abhronil Sengupta
BDL
10
6
0
08 Jul 2023
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical
  Flow Estimation
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
Shubham Negi
Deepika Sharma
Adarsh Kosta
Kaushik Roy
8
4
0
05 Jun 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking
  Neural Networks
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
17
10
0
26 May 2023
Attacking the Spike: On the Transferability and Security of Spiking
  Neural Networks to Adversarial Examples
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
Nuo Xu
Kaleel Mahmood
Haowen Fang
Ethan Rathbun
Caiwen Ding
Wujie Wen
AAML
21
12
0
07 Sep 2022
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
112
240
0
24 Feb 2022
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
121
470
0
08 Feb 2021
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects
  of Discrete Input Encoding and Non-Linear Activations
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
AAML
106
85
0
23 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
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