Neural Correlations

Neural Correlations is a statistical construct that quantifies the dependencies or covariations in the activity of multiple neurons, distinguishing it from individual neuron-level analyses by capturing the joint patterns of neural responses that may reflect shared inputs, functional connectivity, or coding strategies within neural populations.

396

Publications

37.3K

Citations

1.4K

Authors

579

Institutions

Publications per year

2017–2026

104

Variants

Neural Correlation

Authors

1.4K

  1. SP
    Stefano Panzeri

    Italian Institute of Technology, Italy

    7 publications · 654 citations

    7

    h-index

  2. MA
    Matthew A. Smith

    University of Pittsburgh, United States

    7 publications · 1.8K citations

    7

    h-index

  3. AK
    Adam Kohn

    Albert Einstein College of Medicine, United States

    7 publications · 1.8K citations

    7

    h-index

  4. AA
    Ad Aertsen

    University of Freiburg, Germany

    6 publications · 475 citations

    6

    h-index

  5. MJ
    Maurice J. Chacron

    McGill University, Canada

    5 publications · 132 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. Journal of Neurophysiology

    JN · 34 publications · 2.8K citations

    28

    h-index

  2. Journal of Neuroscience

    26 publications · 4.9K citations

    23

    h-index

  3. Neural Computation

    15 publications · 883 citations

    15

    h-index

  4. NeuroImage

    14 publications · 3.8K citations

    14

    h-index

  5. PLoS Computational Biology

    14 publications · 902 citations

    14

    h-index

1–5