Cooperation in neural systems: Bridging complexity and periodicity

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Article discussing research on cooperation and neural systems and bridging complexity and periodicity.

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6 p.

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Zare, Marzieh & Grigolini, Paolo November 29, 2012.

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Article discussing research on cooperation and neural systems and bridging complexity and periodicity.

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6 p.

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Copyright 2012 American Physical Society. The following article appeared in Physical Review E, 86; http://pre.aps.org/abstract/PRE/v86/i5/e051918

Abstract: Inverse power law distributions are generally interpreted as a manifestation of complexity, and waiting time distributions with power index μ < 2 reflect the occurrence of ergodicity-breaking renewal events. In this paper we show how to combine these properties with the apparently foreign clocklike nature of biological processes. We use a two-dimensional regular network of leaky integrate-and-fire neurons, each of which is linked to its four nearest neighbors, to show that both complexity and periodicity are generated by locality breakdown: Links of increasing strength have the effect of turning local interactions into long-range interactions, thereby generating time complexity followed by time periodicity. Increasing the density of neuron firings reduces the influence of periodicity, thus creating a cooperation-induced renewal condition that is distinctly non-Poissonian.

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  • Physical Review E, 2012, College Park: American Physical Society

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  • Publication Title: Physical Review E
  • Volume: 86
  • Pages: 6
  • Peer Reviewed: Yes

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  • November 29, 2012

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  • Jan. 16, 2013, 12:47 p.m.

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  • May 12, 2014, 4:33 p.m.

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Zare, Marzieh & Grigolini, Paolo. Cooperation in neural systems: Bridging complexity and periodicity, article, November 29, 2012; [College Park, Maryland]. (digital.library.unt.edu/ark:/67531/metadc132986/: accessed July 28, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.