Representational Plasticity

Representational Plasticity is a neuroscientific construct that refers to the capacity of cortical maps to dynamically reorganize their functional architecture in response to sensory experience, learning, or injury, thereby altering the neural representation of sensory or motor information.

58

Publications

4.2K

Citations

199

Authors

111

Institutions

Publications per year

2017–2026

9

Authors

199

  1. LG
    Leonardo G. Cohen

    National Institute of Neurological Disorders and Stroke, United States

    3 publications · 219 citations

    3

    h-index

  2. TM
    Timothy M. Woods

    University of California, Irvine, United States

    3 publications · 252 citations

    3

    h-index

  3. EG
    Edward G. Jones

    University of California, Irvine, United States

    3 publications · 252 citations

    3

    h-index

  4. PR
    Paul R. Manger

    University of the Witwatersrand, South Africa

    3 publications · 232 citations

    3

    h-index

  5. HR
    Hubert R. Dinse

    Ruhr University Bochum, Germany

    3 publications · 306 citations

    3

    h-index

1–5 of 199

Venues

  1. Journal of Neuroscience

    6 publications · 493 citations

    6

    h-index

  2. Cerebral Cortex

    5 publications · 603 citations

    5

    h-index

  3. Neuroreport

    3 publications · 119 citations

    3

    h-index

  4. Neuron

    3 publications · 560 citations

    3

    h-index

  5. PubMed

    Repository · 2 publications · 84 citations

    2

    h-index

1–5