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E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks
  with Emerging Neural Encoding on FPGAs

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

19 November 2021
Daniel Gerlinghoff
Zhehui Wang
Xiaozhe Gu
Rick Siow Mong Goh
Yaoyu Zhang
ArXiv (abs)PDFHTML

Papers citing "E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs"

4 / 4 papers shown
Title
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking
  Neural Networks on FPGA
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
Dario Padovano
Alessio Carpegna
Alessandro Savino
S. Di Carlo
98
3
0
04 Apr 2024
FireFly v2: Advancing Hardware Support for High-Performance Spiking
  Neural Network with a Spatiotemporal FPGA Accelerator
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network with a Spatiotemporal FPGA Accelerator
Jindong Li
Guobin Shen
Dongcheng Zhao
Qian Zhang
Yingda Zeng
59
8
0
28 Sep 2023
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
110
2
0
10 Nov 2022
A Resource-efficient Spiking Neural Network Accelerator Supporting
  Emerging Neural Encoding
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding
Daniel Gerlinghoff
Zhehui Wang
Xiaozhe Gu
Rick Siow Mong Goh
Yaoyu Zhang
54
8
0
06 Jun 2022
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