Concepedia

Code-dependent Plasticity

Code-Dependent Plasticity is a neural learning mechanism that selectively modifies synaptic strengths based on the specific temporal or spatial patterns of neuronal activity, thereby adapting network function in response to the precise coding scheme employed by the population.

2

Publications

69

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

9

  1. TS
    Tobias Schmidt‐Wilcke

    BG University Hospital Bergmannsheil Bochum, Germany

    1 publications · 54 citations

    1

    h-index

  2. KR
    Katharina Rosengarth

    University of Regensburg, Germany

    1 publications · 54 citations

    1

    h-index

  3. LP
    Loïc P. Heurley

    Université Paris Nanterre, France

    1 publications · 15 citations

    1

    h-index

  4. MW
    Mark W. Greenlee

    University of Regensburg, Germany

    1 publications · 54 citations

    1

    h-index

  5. NM
    Nicolas Morgado

    Centre National de la Recherche Scientifique, France

    1 publications · 15 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. University of Michigan

    Ann Arbor, United States

    1 h-index

    1 publications

    54 citations

  2. University of Regensburg

    Regensburg, Germany

    1 h-index

    5 publications

    270 citations

  3. Université Paris Nanterre

    Nanterre, France

    1 h-index

    4 publications

    60 citations

1–3 of 3

Venues

  1. Cognition

    1 publications · 15 citations

    1

    h-index

  2. NeuroImage

    1 publications · 54 citations

    1

    h-index

1–2