Synaptic Plasticity Models

Synaptic Plasticity Models is a computational framework that formalizes the activity-dependent modification of synaptic strength and connectivity in neuronal networks, distinguishing it from general neural models by specifically capturing the dynamic mechanisms underlying learning and memory at the synapse level.

632

Publications

40K

Citations

1.6K

Authors

657

Institutions

Publications per year

2017–2026

211

Authors

1.6K

  1. HZ
    Harel Z. Shouval

    Brown University, United States

    12 publications · 1.5K citations

    12

    h-index

  2. WS
    Walter Senn

    University of Bern, Switzerland

    11 publications · 803 citations

    11

    h-index

  3. TE
    Terry Elliott

    University of Southampton, United Kingdom

    10 publications · 161 citations

    10

    h-index

  4. SF
    Stefano Fusi

    Columbia University, United States

    10 publications · 1.7K citations

    10

    h-index

  5. WM
    Wolfgang Maass

    Graz University of Technology, Austria

    10 publications · 750 citations

    10

    h-index

1–5 of 1.6K

Venues

  1. PLoS Computational Biology

    53 publications · 2.8K citations

    33

    h-index

  2. Neural Computation

    43 publications · 3.4K citations

    24

    h-index

  3. Frontiers in Computational Neuroscience

    34 publications · 1.5K citations

    22

    h-index

  4. Journal of Neuroscience

    24 publications · 4.3K citations

    21

    h-index

  5. PLoS ONE

    29 publications · 1.2K citations

    20

    h-index

1–5