Nonlinear Dendritic Processing

Nonlinear Dendritic Processing is a computational mechanism in neuronal dendrites that integrates synaptic inputs through nonlinear operations, distinguishing it from linear summation by enabling active voltage-gated ion channel-dependent amplification, filtering, and decision-making within individual dendritic branches.

73

Publications

5.3K

Citations

187

Authors

120

Institutions

Publications per year

2017–2026

33

Authors

187

  1. IS
    Idan Segev

    Hebrew University of Jerusalem, Israel

    7 publications · 460 citations

    7

    h-index

  2. SG
    Shangce Gao

    University of Toyama, Japan

    4 publications · 228 citations

    5

    h-index

  3. AB
    Arindam Basu

    Nanyang Technological University, Singapore

    5 publications · 105 citations

    5

    h-index

  4. SL
    Shih‐Chii Liu

    ETH Zurich, Switzerland

    4 publications · 70 citations

    4

    h-index

  5. YW
    Yingxue Wang

    University of Zurich, Switzerland

    4 publications · 91 citations

    4

    h-index

1–5 of 187

Venues

  1. Neural Computation

    5 publications · 122 citations

    5

    h-index

  2. Neuron

    5 publications · 630 citations

    5

    h-index

  3. PLoS Computational Biology

    4 publications · 97 citations

    4

    h-index

  4. Journal of Neuroscience

    4 publications · 356 citations

    4

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 82 citations

    3

    h-index

1–5