Integration Of Synaptic Plasticity

Integration of Synaptic Plasticity is a theoretical framework that unifies dynamic synaptic adaptation mechanisms with neural network models to enable adaptive learning through the coordinated modulation of synaptic strength over time.

14

Publications

1.3K

Citations

40

Authors

39

Institutions

Publications per year

2017–2026

7

Authors

40

  1. AP
    Alexandre Payeur

    University of Ottawa, Canada

    2 publications · 334 citations

    2

    h-index

  2. BA
    Blake A. Richards

    University of Toronto, Canada

    2 publications · 334 citations

    2

    h-index

  3. RN
    Richard Naud

    University of Ottawa, Canada

    2 publications · 334 citations

    2

    h-index

  4. CT
    Christian Tetzlaff

    University of Göttingen, Germany

    2 publications · 60 citations

    2

    h-index

  5. JG
    Jordan Guerguiev

    University of Toronto, Canada

    2 publications · 334 citations

    2

    h-index

1–5 of 40

Venues

  1. Frontiers in Neurorobotics

    2 publications · 54 citations

    2

    h-index

  2. Nature Communications

    1 publications · 31 citations

    1

    h-index

  3. Journal of Neuroscience

    1 publications · 69 citations

    1

    h-index

  4. Neurocomputing

    1 publications · 19 citations

    1

    h-index

  5. Network Neuroscience

    NetNeuro · 1 publications · 20 citations

    1

    h-index

1–5