Localist Representation

Localist Representation is a neural representation scheme in which each concept or symbol is encoded by the activation of a single, dedicated neuron or node, distinguishing it from distributed representation schemes that encode information across multiple units.

56

Publications

3.4K

Citations

94

Authors

68

Institutions

Publications per year

2017–2026

10

Variants

Localist Representations

Authors

94

  1. AR
    Asim Roy

    Arizona State University, United States

    3 publications · 64 citations

    3

    h-index

  2. PT
    Paul Thagard

    University of Waterloo, Canada

    3 publications · 193 citations

    3

    h-index

  3. TD
    Ton Dijkstra

    Radboud University Nijmegen, Netherlands

    2 publications · 401 citations

    2

    h-index

  4. TS
    Tobias Schröder

    University of Waterloo, Canada

    2 publications · 182 citations

    2

    h-index

  5. ES
    Eva Smolka

    University of Konstanz, Germany

    2 publications · 52 citations

    2

    h-index

1–5 of 94

Venues

  1. Psychological Review

    3 publications · 460 citations

    3

    h-index

  2. Frontiers in Psychology

    3 publications · 64 citations

    3

    h-index

  3. Neural Computation

    2 publications · 58 citations

    2

    h-index

  4. Philosophical Psychology

    2 publications · 100 citations

    2

    h-index

  5. Cognitive Science

    2 publications · 176 citations

    2

    h-index

1–5