A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome
Understanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been...
Guardado en:
Autores principales: | Ishaan Batta, Qihang Yao, Kaeser M. Sabrin, Constantine Dovrolis |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/85217693147f4947acd74f44665d1980 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A weighted network analysis framework for the hourglass effect-And its application in the C. elegans connectome.
por: Ishaan Batta, et al.
Publicado: (2021) -
Connecting a connectome to behavior: an ensemble of neuroanatomical models of C. elegans klinotaxis.
por: Eduardo J Izquierdo, et al.
Publicado: (2013) -
Forward and backward locomotion patterns in C. elegans generated by a connectome-based model simulation
por: Kazuma Sakamoto, et al.
Publicado: (2021) -
Symmetry group factorization reveals the structure-function relation in the neural connectome of Caenorhabditis elegans
por: Flaviano Morone, et al.
Publicado: (2019) -
Hourglass Dirac chain metal in rhenium dioxide
por: Shan-Shan Wang, et al.
Publicado: (2017)