Dendritic Regression

Dendritic Regression is a computational modeling framework that quantifies structural and functional degradation in neuronal dendritic arbors by regressing morphological complexity against neurobiological covariates.

50

Publications

3.5K

Citations

125

Authors

63

Institutions

Publications per year

2017–2026

10

Authors

125

  1. JC
    Janis C. Weeks

    University of Oregon, United States

    6 publications · 167 citations

    6

    h-index

  2. RJ
    Roberta J. Pentney

    University at Buffalo, State University of New York, United States

    5 publications · 115 citations

    5

    h-index

  3. RB
    Richard B. Levine

    University of Arizona, United States

    4 publications · 269 citations

    4

    h-index

  4. DG
    Dorothy G. Flood

    University of Rochester, United States

    4 publications · 338 citations

    4

    h-index

  5. JJ
    Junkai Ji

    Shenzhen University, China

    4 publications · 86 citations

    4

    h-index

1–5 of 125

Venues

  1. Journal of Neuroscience

    11 publications · 1.5K citations

    11

    h-index

  2. Brain Research

    4 publications · 519 citations

    4

    h-index

  3. PubMed

    Repository · 3 publications · 38 citations

    3

    h-index

  4. Alcoholism Clinical and Experimental Research

    ACER · 3 publications · 55 citations

    3

    h-index

  5. The Journal of Comparative Neurology

    3 publications · 135 citations

    3

    h-index

1–5