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Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural
  Networks and Its Mapping Relationship to Deep Neural Networks

Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural Networks and Its Mapping Relationship to Deep Neural Networks

31 May 2022
Si-wei Lu
Fengyi Xu
ArXivPDFHTML

Papers citing "Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural Networks and Its Mapping Relationship to Deep Neural Networks"

4 / 4 papers shown
Title
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on
  Analysis and Error Bounds
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds
Bernhard A. Moser
Michael Lunglmayr
17
8
0
09 May 2023
How important are activation functions in regression and classification?
  A survey, performance comparison, and future directions
How important are activation functions in regression and classification? A survey, performance comparison, and future directions
Ameya Dilip Jagtap
George Karniadakis
AI4CE
31
71
0
06 Sep 2022
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
124
294
0
04 May 2020
Dynamic ReLU
Dynamic ReLU
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
177
162
0
22 Mar 2020
1