Concepedia

Electrophysiological Data Fitting

Electrophysiological Data Fitting is a computational method that integrates mathematical modeling and optimization techniques to align theoretical representations of neuronal electrical activity with empirical electrophysiological recordings by minimizing discrepancies between simulated and observed data.

161

Publications

12.6K

Citations

570

Authors

295

Institutions

Publications per year

2017–2026

43

Parents

Publications

161

NeuroKit2: A Python toolbox for neurophysiological signal processing

Dominique Makowski, Tam Pham, Zen Juen Lau et al. · Behavior Research Methods · 2021 · 1.3K citations · Full text

, , +14

Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity

Byron M. Yu, John P. Cunningham, Gopal Santhanam et al. · Journal of Neurophysiology · 2009 · 731 citations · Full text

, , +15

A Method for Selecting the Bin Size of a Time Histogram

Hideaki Shimazaki, Shigeru Shinomoto · Neural Computation · 2007 · 461 citations

, , +9

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Fabrice Wendling, Jean-Jacques Bellanger, Fabrice Bartoloméi et al. · Biological Cybernetics · 2000 · 406 citations

, , +14

Analytical estimates of limited sampling biases in different information measures

Stefano Panzeri, Alessandro Treves · Network Computation in Neural Systems · 1996 · 397 citations

, , +13

1–5 of 161

Authors

570

  1. PA
    P. A. Robinson

    The University of Sydney, Australia

    4 publications · 600 citations

    4

    h-index

  2. EP
    Eero P. Simoncelli

    New York University, United States

    3 publications · 305 citations

    3

    h-index

  3. SS
    Shigeru Shinomoto

    Kyoto University, Japan

    3 publications · 537 citations

    3

    h-index

  4. KM
    Klaus‐Robert Müller

    Technische Universität Berlin, Germany

    3 publications · 194 citations

    3

    h-index

  5. CR
    Christopher Rennie

    The University of Sydney, Australia

    3 publications · 359 citations

    3

    h-index

1–5 of 570

Institutions

295

  1. University College London

    London, United Kingdom

    7 h-index

    15 publications

    2.3K citations

  2. New York University

    New York, United States

    6 h-index

    14 publications

    634 citations

  3. University of California San Diego

    San Diego, United States

    5 h-index

    8 publications

    578 citations

  4. Columbia University

    New York, United States

    5 h-index

    6 publications

    307 citations

  5. Yale University

    New Haven, United States

    5 h-index

    9 publications

    531 citations

  6. Howard Hughes Medical Institute

    Chevy Chase, United States

    4 h-index

    4 publications

    326 citations

  7. Duke University

    Durham, United States

    4 h-index

    9 publications

    572 citations

  8. Radboud University Nijmegen

    Nijmegen, The Netherlands

    4 h-index

    7 publications

    1.7K citations

1–8 of 295

Venues

  1. Journal of Neuroscience Methods

    11 publications · 327 citations

    11

    h-index

  2. PLoS Computational Biology

    10 publications · 640 citations

    10

    h-index

  3. NeuroImage

    9 publications · 608 citations

    9

    h-index

  4. Frontiers in Neuroinformatics

    5 publications · 690 citations

    5

    h-index

  5. Biological Cybernetics

    4 publications · 820 citations

    4

    h-index

1–5