2018/03/14 by Gemma Rosell-Tarragó, Rosell-Tarragó, Gemma, Emanuele Cozzo +3
Economics, Econometrics and Finance · Physics and Astronomy · #Complex Network Analysis Techniques #Complex Systems and Time Series Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC) #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph)
paper · pdf · doi:10.48550/arxiv.1803.05239
openalex publication_date 2018/03/14 · openalex created_date 2022/10/05 · openalex updated_date 2026/07/28
Several approaches to cognition and intelligence research rely on\nstatistics-based models testing, namely factor analysis. In the present work we\nexploit the emerging dynamical systems perspective putting the focus on the\nrole of the network topology underlying the relationships between cognitive\nprocesses. We go through a couple of models of distinct cognitive phenomena and\nyet find the conditions for them to be mathematically equivalent. We find a\nnon-trivial attractor of the system that corresponds to the exact definition of\na well-known network centrality and hence stress the interplay between the\ndynamics and the underlying network connectivity, showing that both of the two\nare relevant. The connectivity structure between cognitive processes is not\nknown but yet it is not any. Regardless of the network considered, it is always\npossible to recover a positive manifold of correlations. However, we show that\ndifferent network topologies lead to different plausible statistical models\nconcerning correlations structure, ranging from one to multiple factors models\nand richer correlation structures.\n