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  Effective dynamics of microorganisms that interact with their own trail

Kranz, W. T., Gelimson, A., Zhao, K., Wong, G. C. L., & Golestanian, R. (2016). Effective dynamics of microorganisms that interact with their own trail. Physical Review Letters, 117(3): 038101. doi:10.1103/PhysRevLett.117.038101.

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Kranz, W. T., Author
Gelimson, A., Author
Zhao, K., Author
Wong, G. C. L., Author
Golestanian, Ramin1, Author                 
Affiliations:
1Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2570692              

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 Abstract: Like ants, some microorganisms are known to leave trails on surfaces to communicate. We explore how trail-mediated self-interaction could affect the behavior of individual microorganisms when diffusive spreading of the trail is negligible on the time scale of the microorganism using a simple phenomenological model for an actively moving particle and a finite-width trail. The effective dynamics of each microorganism takes on the form of a stochastic integral equation with the trail interaction appearing in the form of short-term memory. For a moderate coupling strength below an emergent critical value, the dynamics exhibits effective diffusion in both orientation and position after a phase of superdiffusive reorientation. We report experimental verification of a seemingly counterintuitive perpendicular alignment mechanism that emerges from the model. © 2016 American Physical Society.

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Language(s): eng - English
 Dates: 2016-07-11
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevLett.117.038101
BibTex Citekey: Kranz2016
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Title: Physical Review Letters
Source Genre: Journal
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Pages: 6 Volume / Issue: 117 (3) Sequence Number: 038101 Start / End Page: - Identifier: -