Dendritic Filtering

Dendritic Filtering is a computational neuroscience framework that characterizes the selective attenuation or amplification of synaptic inputs based on their spatial and temporal properties as they propagate through the dendritic arbor, thereby determining which signals effectively reach the soma to influence action potential initiation.

63

Publications

5.4K

Citations

201

Authors

96

Institutions

Publications per year

2017–2026

6

Authors

201

  1. JC
    Jeffrey C. Magee

    Howard Hughes Medical Institute, United States

    2 publications · 75 citations

    2

    h-index

  2. WS
    Walter Senn

    University of Bern, Switzerland

    2 publications · 404 citations

    2

    h-index

  3. SA
    Sarmad Al-Bassam

    Stanford University, United States

    2 publications · 229 citations

    2

    h-index

  4. SR
    Stefan Remy

    German Center for Neurodegenerative Diseases, Germany

    2 publications · 191 citations

    2

    h-index

  5. TJ
    Thomas J. Wandless

    Stanford University, United States

    2 publications · 229 citations

    2

    h-index

1–5 of 201

Venues

  1. Neuron

    9 publications · 1K citations

    9

    h-index

  2. Journal of Neuroscience

    7 publications · 754 citations

    7

    h-index

  3. Brain Research

    6 publications · 353 citations

    6

    h-index

  4. Journal of Neurophysiology

    JN · 5 publications · 769 citations

    5

    h-index

  5. PLoS Computational Biology

    3 publications · 86 citations

    3

    h-index

1–5