Mossy Fiber Input Processing

Mossy Fiber Input Processing is a cerebellar neural processing mechanism that integrates multisensory and motor-related signals from mossy fibers into granule cells, distinguishing itself by mediating the initial stage of information transformation in the cerebellar cortex through divergent excitatory pathways that enable pattern separation and parallel processing.

242

Publications

21K

Citations

663

Authors

253

Institutions

Publications per year

2017–2026

15

Authors

663

  1. JC
    J. C. Eccles

    Australian National University, Australia

    9 publications · 700 citations

    9

    h-index

  2. NH
    Nassir H. Sabah

    University at Buffalo, State University of New York, United States

    7 publications · 447 citations

    7

    h-index

  3. WE
    Wim E. Crusio

    Centre National de la Recherche Scientifique, France

    7 publications · 426 citations

    7

    h-index

  4. HS
    Herbert Schwegler

    Otto-von-Guericke-Universität Magdeburg, Germany

    7 publications · 466 citations

    7

    h-index

  5. HT
    H. Táboříková

    University at Buffalo, State University of New York, United States

    6 publications · 383 citations

    6

    h-index

1–5 of 663

Venues

  1. Experimental Brain Research

    28 publications · 2.3K citations

    25

    h-index

  2. Brain Research

    36 publications · 2.4K citations

    24

    h-index

  3. Journal of Neuroscience

    17 publications · 1.3K citations

    17

    h-index

  4. Neuroscience

    13 publications · 1.5K citations

    12

    h-index

  5. Journal of Neurophysiology

    JN · 12 publications · 1.2K citations

    12

    h-index

1–5