Neural Data Synchronization

Neural Data Synchronization is a methodological framework in neural signal acquisition that aligns temporally disparate neural data streams across multiple recording channels, trials, or experimental sessions by correcting for timing offsets and ensuring coherent temporal referencing.

17

Publications

925

Citations

81

Authors

58

Institutions

Publications per year

2017–2026

11

Authors

81

  1. AS
    Arindam Sarkar

    Ramakrishna Mission Vidyamandira, India

    3 publications · 93 citations

    3

    h-index

  2. AN
    Abdulfattah Noorwali

    Umm al-Qura University, Saudi Arabia

    2 publications · 62 citations

    2

    h-index

  3. MZ
    Mohammad Zubair Khan

    Taibah University, Saudi Arabia

    2 publications · 62 citations

    2

    h-index

  4. SK
    Sofia Karamintziou

    National and Kapodistrian University of Athens, Greece

    1 publications · 25 citations

    1

    h-index

  5. NG
    Nick G Deligiannis

    Inserm, France

    1 publications · 25 citations

    1

    h-index

1–5 of 81

Venues

  1. Frontiers in Human Neuroscience

    2 publications · 109 citations

    2

    h-index

  2. Neural Networks

    2 publications · 225 citations

    2

    h-index

  3. Neurocomputing

    1 publications · 10 citations

    1

    h-index

  4. Journal of Neuroscience Methods

    1 publications · 25 citations

    1

    h-index

  5. Vehicular Communications

    1 publications · 15 citations

    1

    h-index

1–5