Concepedia

Hebbian Learning Rules

Hebbian Learning Rules is a theoretical framework in computational neuroscience that posits synaptic strength increases when presynaptic activity repeatedly and persistently contributes to postsynaptic firing, encapsulated by the principle that "neurons that fire together, wire together."

725

Publications

90.1K

Citations

1.5K

Authors

671

Institutions

Publications per year

2017–2026

131

Parents

Publications

725

Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia et al. · 2015 · 46.8K citations

, , +15

Competitive Hebbian learning through spike-timing-dependent synaptic plasticity

Sen Song, Kenneth D. Miller, L. F. Abbott · Nature Neuroscience · 2000 · 2.8K citations

, , +12

Going Deeper with Convolutions

Christian Szegedy, Wei Liu, Yangqing Jia et al. · arXiv (Cornell University) · 2014 · 1.4K citations · Full text

, , +15

A mechanism for the Hebb and the anti-Hebb processes underlying learning and memory.

John Lisman · Proceedings of the National Academy of Sciences · 1989 · 1.1K citations · Full text

, , +17

Principles of Neural Science, 4th ed.

Susan K. Schultz · American Journal of Psychiatry · 2001 · 755 citations

, , +12

1–5 of 725

Authors

1.5K

  1. WG
    Wulfram Gerstner

    École Polytechnique Fédérale de Lausanne, Switzerland

    14 publications · 1.6K citations

    13

    h-index

  2. JL
    J. Leo van Hemmen

    Technical University of Munich, Germany

    12 publications · 1.6K citations

    12

    h-index

  3. TJ
    Terrence J. Sejnowski

    Salk Institute for Biological Studies, United States

    9 publications · 511 citations

    9

    h-index

  4. CF
    Colin Fyfe

    University of the West of Scotland, United Kingdom

    8 publications · 368 citations

    8

    h-index

  5. RK
    Richard Kempter

    Humboldt-Universität zu Berlin, Germany

    8 publications · 1.1K citations

    8

    h-index

1–5 of 1.5K

Institutions

671

  1. University of Oxford

    Oxford, United Kingdom

    16 h-index

    37 publications

    3.1K citations

  2. Centre National de la Recherche Scientifique

    Paris, France

    13 h-index

    44 publications

    1.3K citations

  3. Technical University of Munich

    Munich, Germany

    12 h-index

    29 publications

    4.4K citations

  4. California Institute of Technology

    Pasadena, United States

    11 h-index

    17 publications

    1.5K citations

  5. University of Southern California

    Los Angeles, United States

    11 h-index

    21 publications

    1.9K citations

  6. University of California San Diego

    San Diego, United States

    11 h-index

    19 publications

    1.5K citations

  7. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    10 h-index

    17 publications

    3K citations

  8. Salk Institute for Biological Studies

    La Jolla, United States

    10 h-index

    21 publications

    1K citations

1–8 of 671

Venues

  1. Neural Computation

    62 publications · 4.6K citations

    32

    h-index

  2. Network Computation in Neural Systems

    35 publications · 1.5K citations

    20

    h-index

  3. IEEE Transactions on Neural Networks

    23 publications · 1K citations

    19

    h-index

  4. Biological Cybernetics

    16 publications · 1K citations

    15

    h-index

  5. Journal of Neuroscience

    14 publications · 1.6K citations

    14

    h-index

1–5