Pursuit Learning

Pursuit Learning is a computational learning framework in which an agent incrementally acquires and refines smooth pursuit eye movement strategies through sensorimotor feedback, distinguishing itself by integrating online error correction with predictive modeling to achieve accurate visual tracking of moving targets.

69

Publications

3.3K

Citations

140

Authors

82

Institutions

Publications per year

2017–2026

5

Authors

140

  1. BJ
    B. John Oommen

    Carleton University, Canada

    9 publications · 601 citations

    9

    h-index

  2. SG
    Stephen G. Lisberger

    W. M. Keck Foundation, United States

    8 publications · 359 citations

    8

    h-index

  3. MA
    M. Agache

    Carleton University, Canada

    3 publications · 310 citations

    3

    h-index

  4. MZ
    MengChu Zhou

    New Jersey Institute of Technology, United States

    3 publications · 125 citations

    3

    h-index

  5. JZ
    Junqi Zhang

    Tongji University, China

    3 publications · 125 citations

    3

    h-index

1–5 of 140

Venues

  1. Journal of Neurophysiology

    JN · 6 publications · 550 citations

    6

    h-index

  2. Journal of Experimental Psychology

    6 publications · 161 citations

    6

    h-index

  3. Journal of Neuroscience

    5 publications · 170 citations

    5

    h-index

  4. Perceptual and Motor Skills

    3 publications · 63 citations

    3

    h-index

  5. 2

    h-index

1–5