Methods for Generating Complex Networks with Selected Structural Properties for Simulations: A Review and Tutorial for Neuroscientists

Many simulations of networks in computational neuroscience assume completely homogenous random networks of the Erdös–Rényi type, or regular networks, despite it being recognized for some time that anatomical brain networks are more complex in their connectivity and can, for example, exhibit the “sca...

Descripción completa

Detalles Bibliográficos
Autores principales: Prettejohn, Brenton J., Berryman, Matthew J., McDonnell, Mark D.
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059456/
https://www.ncbi.nlm.nih.gov/pubmed/21441986
http://dx.doi.org/10.3389/fncom.2011.00011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059456/
https://www.ncbi.nlm.nih.gov/pubmed/21441986
http://dx.doi.org/10.3389/fncom.2011.00011

Ejemplares similares