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Learning and Real-time Classification of Hand-written Digits With
  Spiking Neural Networks

Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks

9 November 2017
Shruti R. Kulkarni
John M. Alexiades
Bipin Rajendran
    3DH
ArXiv (abs)PDFHTML

Papers citing "Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks"

2 / 2 papers shown
A Comprehensive Review of Spiking Neural Networks: Interpretation,
  Optimization, Efficiency, and Best Practices
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices
Kai Malcolm
Josue Casco-Rodriguez
189
22
0
19 Mar 2023
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information ProcessingIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
189
127
0
12 Nov 2020
1
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