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

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Krauß P, Schulze H, Metzner C
Zeitschrift: Artificial Life
Jahr der Veröffentlichung: 2017
Band: 23
Heftnummer: 4
Seitenbereich: 518-527
ISSN: 1064-5462


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.


FAU-Autoren / FAU-Herausgeber

Krauß, Patrick Dr.
Hals-Nasen-Ohren-Klinik - Kopf- und Halschirurgie
Metzner, Claus PD Dr.
Lehrstuhl für Biophysik
Schulze, Holger Prof. Dr. rer. nat.
Professur für Experimentelle HNO-Heilkunde


Zitierweisen

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://dx.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.

BibTeX: 

Zuletzt aktualisiert 2018-27-10 um 07:23