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Emergence of Complex Dynamics in a Simple Model of Signaling Networks | | Luis A.N. Amaral
; Albert Diaz-Guilera
; Andre A. Moreira
; Ary L. Goldberger
; Lewis A. Lipsitz
; | | Date: |
19 Nov 2004 | | Journal: | Proc. Nat. Acad. Sci. USA 101 (2004) 15551-15555 | | Subject: | Other; Soft Condensed Matter; Biological Physics | q-bio.OT cond-mat.soft physics.bio-ph | | Affiliation: | 1,2,3), Andre A. Moreira , Ary L. Goldberger , Lewis A. Lipsitz ( Department of Chemical and Biological Engineering, Northwestern University Cardiovascular Division, Beth Israel Deaconess Medical Center, Harvard Medical School Dept. Fisica Fonament | | Abstract: | A variety of physical, social and biological systems generate complex fluctuations with correlations across multiple time scales. In physiologic systems, these long-range correlations are altered with disease and aging. Such correlated fluctuations in living systems have been attributed to the interaction of multiple control systems; however, the mechanisms underlying this behavior remain unknown. Here, we show that a number of distinct classes of dynamical behaviors, including correlated fluctuations characterized by $1/f$-scaling of their power spectra, can emerge in networks of simple signaling units. We find that under general conditions, complex dynamics can be generated by systems fulfilling two requirements: i) a ``small-world’’ topology and ii) the presence of noise. Our findings support two notable conclusions: first, complex physiologic-like signals can be modeled with a minimal set of components; and second, systems fulfilling conditions (i) and (ii) are robust to some degree of degradation, i.e., they will still be able to generate $1/f$-dynamics. | | Source: | arXiv, q-bio.OT/0411039 | | Services: | Forum | Review | PDF | Favorites | |
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