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Towards free-response paradigm: a theory on decision-making in spiking
  neural networks

Towards free-response paradigm: a theory on decision-making in spiking neural networks

16 April 2024
Zhichao Zhu
Yang Qi
Wenlian Lu
Zhigang Wang
Lu Cao
Jianfeng Feng
ArXiv (abs)PDFHTML

Papers citing "Towards free-response paradigm: a theory on decision-making in spiking neural networks"

11 / 11 papers shown
Title
Toward stochastic neural computing
Toward stochastic neural computing
Yang Qi
Zhichao Zhu
Yiming Wei
Lu Cao
Zhigang Wang
Jie Zhang
Wenlian Lu
Jianfeng Feng
43
4
0
23 May 2023
Temporal Knowledge Sharing enable Spiking Neural Network Learning from
  Past and Future
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future
Yiting Dong
Dongcheng Zhao
Yi Zeng
79
10
0
13 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
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
116
62
0
04 Feb 2023
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
88
24
0
06 May 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
227
257
0
24 Feb 2022
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
240
1,165
0
07 Jul 2021
Brain-inspired global-local learning incorporated with neuromorphic
  computing
Brain-inspired global-local learning incorporated with neuromorphic computing
Yujie Wu
R. Zhao
Jun Zhu
F. Chen
Mingkun Xu
...
Hao Zheng
Jing Pei
Youhui Zhang
Mingguo Zhao
Luping Shi
73
89
0
05 Jun 2020
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
106
1,244
0
28 Jan 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
289
8,934
0
25 Aug 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
64
1,030
0
08 Jun 2017
1