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Journal Article

Emergence of behaviour in a self-organized living matter network

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Fleig,  Philipp
Max Planck Research Group Biological Physics and Morphogenesis, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Kramar,  Mirna
Max Planck Research Group Biological Physics and Morphogenesis, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Wilczek,  Michael
Max Planck Research Group Theory of Turbulent Flows, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Alim,  Karen
Max Planck Research Group Biological Physics and Morphogenesis, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Citation

Fleig, P., Kramar, M., Wilczek, M., & Alim, K. (2022). Emergence of behaviour in a self-organized living matter network. eLife, 11: e62863. doi:10.1101/2020.09.06.285080.


Cite as: https://hdl.handle.net/21.11116/0000-0007-00AE-5
Abstract
What is the origin of behaviour? Although typically associated with a nervous system,
simple organisms also show complex behaviours. Among them, the slime mold Physarum polycephalum,
a giant single cell, is ideally suited to study emergence of behaviour. Here, we show how locomotion
and morphological adaptation behaviour emerge from self-organized
patterns of rhythmic
contractions of the actomyosin lining of the tubes making up the network-shaped
organism. We
quantify the spatio-temporal
contraction dynamics by decomposing experimentally recorded
contraction patterns into spatial contraction modes. Notably, we find a continuous spectrum of
modes, as opposed to a few dominant modes. Our data suggests that the continuous spectrum
of modes allows for dynamic transitions between a plethora of specific behaviours with transitions
marked by highly irregular contraction states. By mapping specific behaviours to states of active
contractions, we provide the basis to understand behaviour’s complexity as a function of biomechanical
dynamics.