Concepedia

Surrogate Gradient Learning

Surrogate Gradient Learning is a learning method in spiking neural networks that approximates the non-differentiable spike generation function with a differentiable surrogate during backpropagation to enable gradient-based optimization of network parameters.

61

Publications

5.1K

Citations

189

Authors

94

Institutions

Publications per year

2017–2026

56

Parents

Publications

61

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

Emre Neftci, Hesham Mostafa, Friedemann Zenke · IEEE Signal Processing Magazine · 2019 · 1.4K citations

, , +12

SuperSpike: supervised learning in multilayer spiking neural networks

Oxford University Research Archive (ORA) (University of Oxford) · 2018 · 511 citations · Full text

, , +16

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks

Neural Computation · 2018 · 486 citations · Full text

, , +16

Surrogate Gradient Algorithm for Lagrangian Relaxation

Xing Zhao, Peter B. Luh, J. Wang · Journal of Optimization Theory and Applications · 1999 · 234 citations

, , +14

The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks

Friedemann Zenke, Tim P. Vogels · Neural Computation · 2021 · 234 citations · Full text

, , +16

1–5 of 61

Authors

189

  1. FZ
    Friedemann Zenke

    Friedrich Miescher Institute, Switzerland

    5 publications · 1.8K citations

    5

    h-index

  2. PP
    Priyadarshini Panda

    Yale University, United States

    4 publications · 305 citations

    4

    h-index

  3. KR
    Kaushik Roy

    Purdue University West Lafayette, United States

    4 publications · 279 citations

    4

    h-index

  4. TM
    Timothée Masquelier

    Centre de recherche cerveau et cognition, France

    4 publications · 93 citations

    4

    h-index

  5. EN
    Emre Neftci

    University of California, Irvine, United States

    3 publications · 1.6K citations

    3

    h-index

1–5 of 189

Institutions

94

  1. Peking University

    Beijing, China

    4 h-index

    10 publications

    414 citations

  2. Purdue University West Lafayette

    West Lafayette, United States

    3 h-index

    8 publications

    317 citations

  3. Zhejiang University

    Hangzhou, China

    3 h-index

    8 publications

    194 citations

  4. Yale University

    New Haven, United States

    3 h-index

    8 publications

    357 citations

  5. Zhejiang Lab

    Hangzhou, China

    3 h-index

    5 publications

    116 citations

  6. University of Electronic Science and Technology of China

    Chengdu, China

    2 h-index

    11 publications

    286 citations

  7. Peng Cheng Laboratory

    Shenzhen, China

    2 h-index

    4 publications

    143 citations

  8. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    2 h-index

    2 publications

    1.5K citations

1–8 of 94

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 648 citations

    12

    h-index

  2. Neural Computation

    4 publications · 757 citations

    4

    h-index

  3. IEEE Access

    3 publications · 87 citations

    3

    h-index

  4. 3

    h-index

  5. Neuromorphic Computing and Engineering

    NCE · 4 publications · 169 citations

    3

    h-index

1–5