Balanced Network Dynamics

Balanced Network Dynamics is a theoretical framework in computational neuroscience that characterizes neural circuit activity by maintaining a dynamic equilibrium between excitatory and inhibitory inputs, thereby enabling stable yet sensitive processing of information in cortical networks.

63

Publications

5.2K

Citations

174

Authors

125

Institutions

Publications per year

2017–2026

30

Authors

174

  1. SD
    Sophie Denève

    École Normale Supérieure - PSL, France

    3 publications · 123 citations

    3

    h-index

  2. AT
    Alessandro Torcini

    Institute for Complex Systems, Italy

    3 publications · 97 citations

    3

    h-index

  3. DH
    D. Horn

    Tel Aviv University, Israel

    3 publications · 81 citations

    3

    h-index

  4. YA
    Yuval Aviel

    Tel Aviv University, Israel

    3 publications · 81 citations

    3

    h-index

  5. RR
    Robert Rosenbaum

    University of Notre Dame, United States

    3 publications · 70 citations

    3

    h-index

1–5 of 174

Venues

  1. PLoS Computational Biology

    6 publications · 366 citations

    6

    h-index

  2. Physical Review Research

    4 publications · 94 citations

    4

    h-index

  3. PLoS ONE

    3 publications · 105 citations

    3

    h-index

  4. Neural Computation

    3 publications · 127 citations

    3

    h-index

  5. Biological Cybernetics

    2 publications · 103 citations

    2

    h-index

1–5