Selective Synaptic Plasticity

Selective Synaptic Plasticity is a computational learning mechanism in continual learning that selectively modulates the adaptability of specific synaptic weights during training, preserving important knowledge from previous tasks while allowing plasticity for new task acquisition.

27

Publications

2.1K

Citations

133

Authors

68

Institutions

Publications per year

2017–2026

11

Authors

133

  1. JE
    Jean‐Marc Edeline

    Université Paris-Sud, France

    2 publications · 193 citations

    2

    h-index

  2. YM
    Yves Manunta

    Université Paris-Sud, France

    2 publications · 193 citations

    2

    h-index

  3. MP
    Mu‐ming Poo

    University of California, Berkeley, United States

    2 publications · 227 citations

    2

    h-index

  4. MK
    Mujun Kim

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 65 citations

    1

    h-index

  5. GH
    Graham H. Diering

    University of North Carolina at Chapel Hill, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 133

Venues

  1. Neurobiology of Learning and Memory

    NLM · 2 publications · 228 citations

    2

    h-index

  2. Nature Communications

    1 publications · 65 citations

    2

    h-index

  3. Nature

    2 publications · 502 citations

    2

    h-index

  4. Brain Research

    2 publications · 39 citations

    2

    h-index

  5. Nature Neuroscience

    2 publications · 214 citations

    2

    h-index

1–5