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Exploiting Noise as a Resource for Computation and Learning in Spiking
  Neural Networks

Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks

25 May 2023
Gehua (Marcus) Ma
Rui Yan
Huajin Tang
ArXivPDFHTML

Papers citing "Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks"

10 / 10 papers shown
Title
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks
Hanqi Chen
Lixing Yu
Shaojie Zhan
Penghui Yao
Jiankun Shao
32
1
0
31 Dec 2024
The Robustness of Spiking Neural Networks in Communication and its
  Application towards Network Efficiency in Federated Learning
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
Manh V. Nguyen
Liang Zhao
Bobin Deng
William M. Severa
Honghui Xu
Shaoen Wu
FedML
17
0
0
19 Sep 2024
Temporal Conditioning Spiking Latent Variable Models of the Neural
  Response to Natural Visual Scenes
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Gehua (Marcus) Ma
Runhao Jiang
Rui Yan
Huajin Tang
AI4TS
24
6
0
21 Jun 2023
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
16
59
0
09 Oct 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
109
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
119
470
0
08 Feb 2021
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
114
264
0
04 May 2020
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
94
71
0
23 Mar 2020
Memory and information processing in neuromorphic systems
Memory and information processing in neuromorphic systems
Giacomo Indiveri
Shih-Chii Liu
166
562
0
10 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
237
7,597
0
03 Jul 2012
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