Synaptic Input Clustering

Synaptic Input Clustering is a neurocomputational principle referring to the non-random spatial organization of synaptic inputs on neuronal dendrites, distinguished by the functional grouping of co-activated synapses within localized dendritic domains to enhance synergistic integration and plasticity.

37

Publications

2.9K

Citations

170

Authors

81

Institutions

Publications per year

2017–2026

10

Authors

170

  1. BU
    Balázs Ujfalussy

    Hungarian Academy of Sciences, Hungary

    2 publications · 103 citations

    2

    h-index

  2. JR
    Jong‐Cheol Rah

    Korea Brain Research Institute, South Korea

    2 publications · 86 citations

    2

    h-index

  3. JK
    Judit K. Makara

    HUN-REN Institute of Experimental Medicine, Hungary

    2 publications · 103 citations

    2

    h-index

  4. CL
    Christian Löhmann

    Netherlands Institute for Neuroscience, Netherlands

    2 publications · 326 citations

    2

    h-index

  5. JW
    Johan Winnubst

    Janelia Research Campus, United States

    2 publications · 326 citations

    2

    h-index

1–5 of 170

Venues

  1. Journal of Neuroscience

    4 publications · 444 citations

    4

    h-index

  2. Nature Communications

    4 publications · 278 citations

    4

    h-index

  3. European Journal of Neuroscience

    EJN · 3 publications · 114 citations

    3

    h-index

  4. Cerebral Cortex

    3 publications · 58 citations

    3

    h-index

  5. Neuron

    3 publications · 739 citations

    3

    h-index

1–5