Error-corrective Synaptic Plasticity

Error-Corrective Synaptic Plasticity is a form of synaptic plasticity that adjusts synaptic weights based on error signals derived from discrepancies between intended and actual neural outputs, thereby enabling adaptive refinement of neural circuit function in response to performance feedback.

2

Publications

298

Citations

7

Authors

3

Institutions

Publications per year

2017–2026

1

Variants

Supervised Synaptic Plasticity

Authors

7

  1. EN
    Emre Neftci

    University of California, Irvine, United States

    1 publications · 240 citations

    1

    h-index

  2. PH
    Peter Hancock

    University of Stirling, United Kingdom

    1 publications · 58 citations

    1

    h-index

  3. WA
    William A. Phillips

    University of Stirling, United Kingdom

    1 publications · 58 citations

    1

    h-index

  4. CA
    Charles Augustine

    Intel (United States), United States

    1 publications · 240 citations

    1

    h-index

  5. GD
    Georgios Detorakis

    University of California, Irvine, United States

    1 publications · 240 citations

    1

    h-index

1–5 of 7

Institutions

3

  1. University of Stirling

    Stirling, United Kingdom

    1 h-index

    3 publications

    174 citations

  2. University of California, Irvine

    Irvine, United States

    1 h-index

    2 publications

    480 citations

  3. Intel (United States)

    Santa Clara, United States

    1 h-index

    2 publications

    480 citations

1–3 of 3

Venues

  1. Frontiers in Neuroscience

    1 publications · 240 citations

    1

    h-index

  2. Neural Computation

    1 publications · 58 citations

    1

    h-index

1–2