Information Flow in Networks and the Law of Diminishing Marginal Returns: Evidence from Modeling and Human Electroencephalographic Recordings

We analyze simple dynamical network models which describe the limited capacity of nodes to process the input information. For a proper range of their parameters, the information flow pattern in these models is characterized by exponential distribution of the incoming information and a fat-tailed dis...

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Detalles Bibliográficos
Autores principales: Marinazzo, Daniele, Wu, Guorong, Pellicoro, Mario, Angelini, Leonardo, Stramaglia, Sebastiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3445562/
https://www.ncbi.nlm.nih.gov/pubmed/23028745
http://dx.doi.org/10.1371/journal.pone.0045026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3445562/
https://www.ncbi.nlm.nih.gov/pubmed/23028745
http://dx.doi.org/10.1371/journal.pone.0045026

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