A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals

Krauß P, Schulze H, Metzner C (2017)

Publication Type: Journal article

Publication year: 2017

Journal

Artificial Life Massachusetts Institute of Technology Press (MIT Press): STM Titles

Book Volume: 23

Pages Range: 518-527

Journal Issue: 4

DOI: 10.1162/ARTL_a_00245

Abstract

In Lévy walks (LWs), particles move with a fixed speed along straight line segments and turn in new directions after random time intervals that are distributed according to a power law. Such LWs are thought to be an advantageous foraging and search strategy for organisms. While complex nervous systems are certainly capable of producing such behavior, it is not clear at present how single-cell organisms can generate the long-term correlated control signals required for a LW. Here, we construct a biochemical reaction system that generates long-time correlated concentration fluctuations of a signaling substance, with a tunable fractional exponent of the autocorrelation function. The network is based on well-known modules, and its basic function is highly robust with respect to the parameter settings.

Authors with CRIS profile

Patrick Krauß Department of Otorhinolaryngology – Head and Neck Surgery Holger Schulze Professur für Experimentelle HNO-Heilkunde Claus Metzner Lehrstuhl für Biophysik

How to cite

APA:

Krauß, P., Schulze, H., & Metzner, C. (2017). A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals. Artificial Life, 23(4), 518-527. https://doi.org/10.1162/ARTL_a_00245

MLA:

Krauß, Patrick, Holger Schulze, and Claus Metzner. "A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals." Artificial Life 23.4 (2017): 518-527.

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