A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity
Joint Authors
Rosell-Tarragó, Gemma
Cozzo, Emanuele
Díaz-Guilera, Albert
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-12
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Several approaches to cognition and intelligence research rely on statistics-based model testing, namely, factor analysis.
In the present work, we exploit the emerging dynamical system perspective putting the focus on the role of the network topology underlying the relationships between cognitive processes.
We go through a couple of models of distinct cognitive phenomena and yet find the conditions for them to be mathematically equivalent.
We find a nontrivial attractor of the system that corresponds to the exact definition of a well-known network centrality and hence stresses the interplay between the dynamics and the underlying network connectivity, showing that both of the two are relevant.
Correlation matrices evince there must be a meaningful structure underlying real data.
Nevertheless, the true architecture regarding the connectivity between cognitive processes is still a burning issue of research.
Regardless of the network considered, it is always possible to recover a positive manifold of correlations.
Furthermore, we show that different network topologies lead to different plausible statistical models concerning the correlation structure, ranging from one to multiple factor models and richer correlation structures.
American Psychological Association (APA)
Rosell-Tarragó, Gemma& Cozzo, Emanuele& Díaz-Guilera, Albert. 2018. A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity. Complexity،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1133051
Modern Language Association (MLA)
Rosell-Tarragó, Gemma…[et al.]. A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity. Complexity No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1133051
American Medical Association (AMA)
Rosell-Tarragó, Gemma& Cozzo, Emanuele& Díaz-Guilera, Albert. A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity. Complexity. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1133051
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133051