Optimal Linear Estimation

Optimal Linear Estimation is a statistical method in population coding that belongs to the class of linear decoding techniques, distinguished by its minimization of estimation error variance through the optimal weighting of neural activity patterns according to their signal and noise correlations.

269

Publications

17.2K

Citations

521

Authors

267

Institutions

Publications per year

2017–2026

44

Authors

521

  1. SS
    Shuli Sun

    Heilongjiang University, China

    16 publications · 1K citations

    16

    h-index

  2. MM
    Mikhail Moklyachuk

    Taras Shevchenko National University of Kyiv, Ukraine

    23 publications · 366 citations

    13

    h-index

  3. ML
    Maksym Luz

    Taras Shevchenko National University of Kyiv, Ukraine

    8 publications · 115 citations

    8

    h-index

  4. JM
    Jing Ma

    Heilongjiang University, China

    5 publications · 217 citations

    5

    h-index

  5. YZ
    Yunmin Zhu

    Sichuan University, China

    5 publications · 700 citations

    5

    h-index

1–5 of 521

Venues

  1. IEEE Transactions on Automatic Control

    15 publications · 2.2K citations

    14

    h-index

  2. IEEE Transactions on Signal Processing

    12 publications · 658 citations

    12

    h-index

  3. IEEE Transactions on Information Theory

    10 publications · 870 citations

    10

    h-index

  4. Statistics Optimization & Information Computing

    SOIC · 12 publications · 168 citations

    10

    h-index

  5. 8

    h-index

1–5