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Main Authors: Schick, Lisa, Eichenlaub, Emily, Drexel, Fabian, Mayer, Alexander, Chen, Siyu, Roper, Marcus, Alim, Karen
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2506.12803
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author Schick, Lisa
Eichenlaub, Emily
Drexel, Fabian
Mayer, Alexander
Chen, Siyu
Roper, Marcus
Alim, Karen
author_facet Schick, Lisa
Eichenlaub, Emily
Drexel, Fabian
Mayer, Alexander
Chen, Siyu
Roper, Marcus
Alim, Karen
contents Decision-making is the process of selecting an action among alternatives, allowing biological and artificial systems to navigate complex environments and optimize behavior. While neural systems rely on neuron-based sensory processing and evaluation, decision-making also occurs in organisms without a centralized organizing unit, such as the unicellular slime mold \textit{Physarum polycephalum}. Unlike neural systems, P. polycephalum relies on rhythmic peristaltic contractions to drive internal flows and redistribute mass, allowing it to adapt to its environment. However, while previous studies have focused on the outcomes of these decisions, the underlying mechanical principles that govern this mass relocation remain unknown. Here, we investigate the exploration process of P. polycephalum confined by blue light into polygonal shapes up to its escape. While the escape occurs along the longest axis of the polygones, independent of confinement shape, the exploration process prior to escape extends protrusions almost everywhere around a shape boundary. We find protrusions to align with the direction of peristaltic contraction waves driving mass relocation. Mapping out contraction modes during exploration in detail we observe an ongoing switching between different dominant principle contraction modes. Only over the course of time does the organism ultimately settle on the contraction mode most efficient for transport, which coincides with the escape. Thus, we find that only harsh environmental confinement triggers optimal behaviour which is reached by long time re-organization of the flow patterns. Our findings provide insights into the mechanics of decision-making in non-neuronal organisms, shedding light on how decentralized systems process environmental constraints to drive adaptive behavior.
format Preprint
id arxiv_https___arxiv_org_abs_2506_12803
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Decision-making in light-trapped slime molds involves active mechanical processes
Schick, Lisa
Eichenlaub, Emily
Drexel, Fabian
Mayer, Alexander
Chen, Siyu
Roper, Marcus
Alim, Karen
Biological Physics
Decision-making is the process of selecting an action among alternatives, allowing biological and artificial systems to navigate complex environments and optimize behavior. While neural systems rely on neuron-based sensory processing and evaluation, decision-making also occurs in organisms without a centralized organizing unit, such as the unicellular slime mold \textit{Physarum polycephalum}. Unlike neural systems, P. polycephalum relies on rhythmic peristaltic contractions to drive internal flows and redistribute mass, allowing it to adapt to its environment. However, while previous studies have focused on the outcomes of these decisions, the underlying mechanical principles that govern this mass relocation remain unknown. Here, we investigate the exploration process of P. polycephalum confined by blue light into polygonal shapes up to its escape. While the escape occurs along the longest axis of the polygones, independent of confinement shape, the exploration process prior to escape extends protrusions almost everywhere around a shape boundary. We find protrusions to align with the direction of peristaltic contraction waves driving mass relocation. Mapping out contraction modes during exploration in detail we observe an ongoing switching between different dominant principle contraction modes. Only over the course of time does the organism ultimately settle on the contraction mode most efficient for transport, which coincides with the escape. Thus, we find that only harsh environmental confinement triggers optimal behaviour which is reached by long time re-organization of the flow patterns. Our findings provide insights into the mechanics of decision-making in non-neuronal organisms, shedding light on how decentralized systems process environmental constraints to drive adaptive behavior.
title Decision-making in light-trapped slime molds involves active mechanical processes
topic Biological Physics
url https://arxiv.org/abs/2506.12803