Synaptic Intelligence

Synaptic Intelligence is a continual learning method that, as a form of synaptic plasticity regularization, dynamically allocates parameter importance during training to prevent catastrophic forgetting by simulating biological synaptic consolidation mechanisms.

21

Publications

2.2K

Citations

61

Authors

24

Institutions

Publications per year

2017–2026

13

Authors

61

  1. SG
    Surya Ganguli

    Stanford University, United States

    3 publications · 1.1K citations

    3

    h-index

  2. FZ
    Friedemann Zenke

    Friedrich Miescher Institute, Switzerland

    3 publications · 1.1K citations

    3

    h-index

  3. BP
    Ben Poole

    Google (United States), United States

    3 publications · 1.1K citations

    3

    h-index

  4. JZ
    Jingxin Zhang

    Tsinghua University, China

    2 publications · 89 citations

    2

    h-index

  5. MC
    Maoyin Chen

    Tsinghua University, China

    2 publications · 89 citations

    2

    h-index

1–5 of 61

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 97 citations

    2

    h-index

  2. Network Computation in Neural Systems

    2 publications · 71 citations

    2

    h-index

  3. Neural Networks

    2 publications · 245 citations

    2

    h-index

  4. IEEE Access

    1 publications · 44 citations

    1

    h-index

  5. IEEE Transactions on Electron Devices

    1 publications · 36 citations

    1

    h-index

1–5