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  Key Features of Turing Systems are Determined Purely by Network Topology

Diego, X., Marcon, L., Müller, P., & Sharpe, J. (2018). Key Features of Turing Systems are Determined Purely by Network Topology. Physical Review X, 8(2): 021071. doi:10.1103/PhysRevX.8.021071.

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Diego, X, Autor
Marcon, L1, Autor                 
Müller, P1, Autor                 
Sharpe, J, Autor
Affiliations:
1Müller Group, Friedrich Miescher Laboratory, Max Planck Society, Max-Planck-Ring 9, 72076 Tübingen, DE, ou_3008690              

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 Zusammenfassung: Turing’s theory of pattern formation is a universal model for self-organization, applicable to many systems in physics, chemistry, and biology. Essential properties of a Turing system, such as the conditions for the existence of patterns and the mechanisms of pattern selection, are well understood in small networks. However, a general set of rules explaining how network topology determines fundamental system properties and constraints has not been found. Here we provide a first general theory of Turing network topology, which proves why three key features of a Turing system are directly determined by the topology: the type of restrictions that apply to the diffusion rates, the robustness of the system, and the phase relations of the molecular species.

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Sprache(n): eng - English
 Datum: 2018-06
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1103/PhysRevX.8.021071
 Art des Abschluß: -

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Titel: Physical Review X
  Kurztitel : Phys. Rev. X
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: New York, NY : American Physical Society
Seiten: 23 Band / Heft: 8 (2) Artikelnummer: 021071 Start- / Endseite: - Identifikator: Anderer: 2160-3308
CoNE: https://pure.mpg.de/cone/journals/resource/2160-3308