Associative Learning Development

Associative Learning Development is a theoretical construct within the domain of information processing development that specifies the progressive refinement of neural and cognitive mechanisms enabling individuals to detect, encode, and utilize predictive regularities between stimuli or events through experience.

362

Publications

23.5K

Citations

1.1K

Authors

414

Institutions

Publications per year

2017–2026

51

Authors

1.1K

  1. CH
    Cecilia Heyes

    University College London, United Kingdom

    7 publications · 412 citations

    7

    h-index

  2. SC
    Suzanne Curtin

    University of Calgary, Canada

    6 publications · 208 citations

    6

    h-index

  3. ME
    Mark E. Stanton

    University of Delaware, United States

    5 publications · 142 citations

    5

    h-index

  4. JR
    Joel R. Levin

    University of Wisconsin–Madison, United States

    5 publications · 220 citations

    5

    h-index

  5. JH
    John H. Freeman

    University of Iowa, United States

    5 publications · 109 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. PLoS ONE

    11 publications · 657 citations

    11

    h-index

  2. Journal of Experimental Child Psychology

    JECP · 11 publications · 516 citations

    11

    h-index

  3. Behavioural Brain Research

    10 publications · 645 citations

    10

    h-index

  4. Developmental Psychobiology

    10 publications · 378 citations

    10

    h-index

  5. Developmental Science

    9 publications · 479 citations

    9

    h-index

1–5