Concepedia

Local Dendritic Learning Rules

Local Dendritic Learning Rules is a computational learning principle in neuroscience that specifies how synaptic weights are updated based on locally available signals within individual dendritic compartments, rather than relying on global error or activity signals from the soma or network level.

6

Publications

762

Citations

27

Authors

12

Institutions

Publications per year

2017–2026

3

Parents

Publications

6

Locally dynamic synaptic learning rules in pyramidal neuron dendrites

Christopher D. Harvey, Karel Svoboda · Nature · 2007 · 643 citations

, , +14

Local dendritic balance enables learning of efficient representations in networks of spiking neurons

Fabian A. Mikulasch, Lucas Rudelt, Viola Priesemann · Proceedings of the National Academy of Sciences · 2021 · 36 citations · Full text

, , +17

A rapid and efficient learning rule for biological neural circuits

Eren Sezener, Agnieszka Grabska‐Barwińska, Dimitar Kostadinov et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2021 · 30 citations · Full text

, , +13

Local plasticity rules can learn deep representations using\n self-supervised contrastive predictions

Bernd Illing, Jean Ventura, Guillaume Bellec et al. · arXiv (Cornell University) · 2020 · 26 citations · Full text

, , +17

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

Bernd Illing, Jean Ventura, Guillaume Bellec et al. · arXiv (Cornell University) · 2020 · 17 citations · Full text

, , +17

1–5 of 6

Authors

27

  1. GB
    Guillaume Bellec

    Graz University of Technology, Austria

    1 publications · 26 citations

    1

    h-index

  2. KS
    Karel Svoboda

    Howard Hughes Medical Institute, United States

    1 publications · 643 citations

    1

    h-index

  3. DK
    Dimitar Kostadinov

    University College London, United Kingdom

    1 publications · 30 citations

    1

    h-index

  4. LR
    Lucas Rudelt

    Bernstein Center for Computational Neuroscience Göttingen, Germany

    1 publications · 36 citations

    1

    h-index

  5. CD
    Christopher D. Harvey

    Harvard University, United States

    1 publications · 643 citations

    1

    h-index

1–5 of 27

Institutions

12

  1. Cold Spring Harbor Laboratory

    Cold Spring Harbor, United States

    1 h-index

    2 publications

    1.3K citations

  2. Graz University of Technology

    Graz, Austria

    1 h-index

    3 publications

    30 citations

  3. Oxford Centre for Computational Neuroscience

    Oxford, United Kingdom

    1 h-index

    3 publications

    90 citations

  4. Wolfson Foundation

    London, United Kingdom

    1 h-index

    3 publications

    90 citations

  5. University of Stirling

    Stirling, United Kingdom

    1 h-index

    3 publications

    51 citations

  6. Google DeepMind (United Kingdom)

    London, United Kingdom

    1 h-index

    6 publications

    180 citations

  7. Bernstein Center for Computational Neuroscience Göttingen

    Göttingen, Germany

    1 h-index

    1 publications

    36 citations

  8. Vytautas Magnus University

    Kaunas, Lithuania

    1 h-index

    1 publications

    17 citations

1–8 of 12

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 26 citations

    1

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 36 citations

    1

    h-index

  3. neural information processing systems

    1 publications · 10 citations

    1

    h-index

  4. Nature

    1 publications · 643 citations

    1

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 30 citations

    1

    h-index

1–5