Linear Decoders

Linear Decoder is a neural decoding method that belongs to the class of linear models by estimating target variables through a weighted sum of neural activity patterns, distinguished from nonlinear decoders by its assumption of linear relationships between neural signals and decoded outputs.

64

Publications

3.4K

Citations

182

Authors

116

Institutions

Publications per year

2017–2026

24

Authors

182

  1. MH
    Min-Hsiu Hsieh

    University of Technology Sydney, Australia

    3 publications · 105 citations

    3

    h-index

  2. MR
    Manav R. Bhatnagar

    Indian Institute of Technology Delhi, India

    3 publications · 122 citations

    3

    h-index

  3. YB
    Y. Be'ery

    Tel Aviv University, Israel

    3 publications · 677 citations

    3

    h-index

  4. TL
    Ting-Chun Lin

    Taipei Medical University, Taiwan

    3 publications · 105 citations

    3

    h-index

  5. ID
    Irit Dinur

    Weizmann Institute of Science, Israel

    2 publications · 93 citations

    2

    h-index

1–5 of 182

Venues

  1. IEEE Transactions on Information Theory

    7 publications · 397 citations

    7

    h-index

  2. Journal of Neurophysiology

    JN · 6 publications · 265 citations

    6

    h-index

  3. IEEE Transactions on Communications

    4 publications · 124 citations

    4

    h-index

  4. Frontiers in Neuroscience

    4 publications · 130 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 80 citations

    4

    h-index

1–5