Small-world Network Architecture

Small-World Network Architecture is a neural circuit organizational principle characterized by high local clustering among neighboring neurons coupled with short average path lengths between distant neurons, enabling efficient information integration and functional segregation within the network.

348

Publications

28.8K

Citations

1.2K

Authors

571

Institutions

Publications per year

2017–2026

89

Authors

1.2K

  1. PP
    Partha Pratim Pande

    Washington State University, United States

    8 publications · 298 citations

    8

    h-index

  2. CJ
    Cornelis J. Stam

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    6 publications · 2.4K citations

    6

    h-index

  3. OE
    Okan Erkaymaz

    Zonguldak Bülent Ecevit University, Türkiye

    5 publications · 226 citations

    5

    h-index

  4. BS
    Behrooz Shirazi

    The University of Texas at Arlington, United States

    5 publications · 71 citations

    5

    h-index

  5. JM
    Jacob Murray

    Washington State University, United States

    5 publications · 71 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. 17

    h-index

  2. PLoS ONE

    16 publications · 1.1K citations

    14

    h-index

  3. Scientific Reports

    8 publications · 349 citations

    8

    h-index

  4. Physical Review E

    PRE · 8 publications · 442 citations

    8

    h-index

  5. Frontiers in Neuroscience

    7 publications · 385 citations

    7

    h-index

1–5